23. B. Tech in ElElectronics and Communication Engineerin ring

B.Tech-ECE SRM Institute o

23. B. Tech in El

23. (a) Mission of the Department

Mission Stmt - 1 Build an educational processaccreditation requirements

Mission Stmt – 2 Attract the qualified professio

Mission Stmt - 3 With the right talent pool, creuniversities, and produce com

23. (b) Program Educational Objectives (

The Program Educational Objectives for the Eleare expected to attain within a few years of gradu

PEO – 1 Establish themselves as successful aof Electronics and Communication E

PEO – 2 Apply the acquired knowledge and swhich are economically feasible and

PEO – 3 Develop an attitude of lifelong learnin

PEO – 4 Demonstrate leadership qualities, effmultidisciplinary and multicultural en

23. (c) Mission of the Department to Program

Mission Stmt. - 1

PEO - 1 H

PEO - 2 L PEO - 3 M PEO - 4 H

H – High C

23. (d) Mapping Program Educational Obje

Eng

inee

ring

Kno

wle

dge

Pro

blem

Ana

lysi

s

Des

ign

&

Dev

elop

men

t

Ana

lysi

s, D

esig

n,

Res

earc

h

PEO - 1 M H M H PEO - 2 H H H H

PEO - 3 PEO - 4

H – High CProgram Specific Outcomes (PSO) Graduates of baccalaureate degree program in E

PSO – 1 Design, prototype and test modernprofessional achievement in an indus

PSO – 2 Apply project management techniquePSO – 3 Analyze and research appropriate te

te of Science & Technology – Academic Curricula (2018 Regulations)

SRM INSTITUTE OF SCIENCE & TECHNOLO

Kattankulathur, Kancheepuram 603203, Tamil Nadu, In

Electronics and Communication Engineerin

ess that is well suited to local needs as well as satisfies the national and i

ssionals and retain them by building an environment that fosterswork free create knowledge and disseminate, get involved in collaborativeresearch competent graduands.

s (PEO) Electronics and Communication Engineering program describe accompladuation.

ful and creative practicing professional engineers, both nationally and globn Engineering. d skills in solving real-world engineering problems; develop novel technolond socially relevant. rning for sustained career advancement and adapt to the changing multid, effective communication skills, and to work in a team of enterprising peop environment with strong adherence to professional ethics.

am Educational Objectives (PEO) Mapping

Mission Stmt. - 2 Miss

H

M L H

h Correlation, M – Medium Correlation, L – Low Correlation

bjectives (PEO) to Program Learning Outcomes (PLO)

Program Learning Outcomes (PLO)

Graduate Attributes (GA)

Mod

ern

Too

l Usa

ge

Soc

iety

& C

ultu

re

Env

ironm

ent &

Sus

tain

abili

ty

Eth

ics

Indi

vidu

al &

Tea

m

Wor

k

Com

mun

icat

ion

Pro

ject

Mgt

. &

Fin

ance

Life

Lon

g Le

arni

ng

Des

ign,

Pro

toty

pe

H H H M L H

M H M H H H H H H

h Correlation, M – Medium Correlation, L – Low Correlation

n ECE must demonstrate knowledge and hands-on competence in the abern electronics and telecommunication engineering systems as per thdustry and organization iques to electrical/ electronic/ telecommunications systems technologies for implementation of the electronics and telecommunicatio

1

LOGY

, India

ring

d international

reedom and empowerment. rch with reputed

plishments that graduates

globally, in the related fields

nology and design products

ltidisciplinary profession. eople in the

ission Stmt. – 3

H

H H H

Program Specific Outcomes (PSO)

Des

ign,

Pro

toty

pe

and

Tes

t Mod

ern

EC

E S

yste

ms

Pro

ject

Man

agem

ent

Tec

hniq

ues

Impl

emen

t EC

E

Sys

tem

s

H M H L H

L H L

ability to: r the specifications for the

ation engineering systems

B.Tech-ECE SRM Institute of Science & Technology – Academic Curricula (2018 Regulations) 2

23. (e) Program Structure (B.Tech in Electronics and Communication Engineering)

1. Humanities & Social Sciences including Management Courses (H)

Course Course Hours/ Week

Code Title L T P C 18LEH101J English 2 0 2 3 18LEH102J Chinese

18LEH103J French

18LEH104J German 2 0 2 3

18LEH105J Japanese

18LEH106J Korean 18PDH101L General Aptitude 0 0 2 1

18PDH102T Management Principles for Engineers 2 0 0 2

18PDH103J Social Engineering 1 0 2 2

18PDH201L Employability Skills & Practices 0 0 2 1

Total Learning Credits 12

2. Basic Science Courses (B)


Code Title L T P C

18PYB101J Physics: Electromagnetic Theory, Quantum Mechanics, Waves and Optics

3 1 2 5

18CYB101J Chemistry 3 1 2 5

18MAB101T Calculus and Linear Algebra 3 1 0 4 18MAB102T Advanced Calculus and Complex Analysis 3 1 0 4

18MAB201T Transforms and Boundary Value Problems 3 1 0 4

18MAB203T Probability and Stochastic Process 3 1 0 4

18MAB302T Discrete Mathematics for Engineers 3 1 0 4

18BTB101T Biology 2 0 0 2 Total Learning Credits 32

3. Engineering Science Courses (S)


Code Title L T P C

18MES101L Engineering Graphics and Design 1 0 4 3

18EES101J Basic Electrical and Electronics Engineering 3 1 2 5

18MES103L Civil and Mechanical Engineering Workshop 1 0 4 3

18CSS101J Programming for Problem Solving 3 0 4 5 18ECS201T Control Systems 3 0 0 3


4. Professional Core Courses (C)


Code Title L T P C

18ECC102J Electronic Devices 3 0 2 4

18ECC103J Digital Electronic Principles 3 0 2 4

18ECC104T Signals and Systems 3 1 0 4

18ECC105T Electromagnetics and Transmission Lines 3 0 0 3 18ECC201J Analog Electronic Circuits 3 0 2 4

18ECC202J Linear Integrated Circuits 3 0 2 4

18ECC203J Microprocessor, Microcontroller and Interfacing Techniques

3 0 2 4

18ECC204J Digital Signal Processing 3 0 2 4 18ECC205J Analog and Digital Communication 3 0 2 4

18ECC206J VLSI Design 3 0 2 4

18ECC301T Wireless Communications 3 1 0 4

18ECC302J Microwave & Optical Communications 3 0 2 4

18ECC303J Computer Communication Networks 3 0 2 4 18ECC350T Comprehension 0 1 0 1


5. Professional Elective Courses (E)


Code Title L T P C

Professional Elective – 1 3 0 0 3


Professional Elective – 3 3 0 0 3 Professional Elective – 4 3 0 0 3




6. Open Elective Courses (O)


Code Title L T P C

Open Elective – 1 3 0 0 3

Open Elective – 2 3 0 0 3

Open Elective – 3 3 0 0 3 Open Elective – 4 3 0 0 3



7. Project Work, Seminar, Internship In Industry / Higher Technical Institutions (P)


Code Title L T P C

18ECP101L Massive Open Online Course- I

18ECP102L Industrial Training- I 0 0 2 1

18ECP103L Seminar –I

18ECP104L Massive Open Online Course- II

18ECP105L Industrial Training- II 0 0 2 1

18ECP106L Seminar –II

18ECP107L Minor Project 0 0 6 3

18ECP108L Internship (4-6 weeks)

18ECP109L Project 0 0 20 10

18ECP110L Semester Internship


8. Mandatory Courses (M)


Code Title L T P C

18PDM101L Professional Skills and Practices 0 0 2 0 18PDM201L Competencies in Social Skills

0 0 2 0 18PDM203L Entrepreneurial Skill Development

18PDM202L Critical and Creative Thinking Skills 0 0 2 0

18PDM204L Business Basics for Entrepreneurs

18PDM301L Analytical and Logical Thinking Skills 0 0 2 0

19PDM302L Entrepreneurship Management

18LEM101T Constitution of India 1 0 0 0

18LEM102J Value Education 1 0 1 0

18GNM101L Physical and Mental Health using Yoga 0 0 2 0

18GNM102L NSS 0 0 2 0 18GNM103L NCC

18GNM104L NSO

18LEM109T Indian Traditional Knowledge 1 0 0 0

18LEM110L Indian Art Form 0 0 2 0

18CYM101T Environmental Science 1 0 0 0

Total Learning Credits -

List of Professional Elective Courses (E) Any 6 Courses


Code Title L T P C

Sub-Stream: Electronic System Engineering

18ECE201J Python and Scientific Python 2 0 2 3 18ECE202T Micro- and Nano-Fabrication Technologies 3 0 0 3

18ECE203T Semiconductor Device Modeling 3 0 0 3

18ECE204J ARM based Embedded System Design 2 0 2 3

18ECE205J FPGA based Embedded System Design 2 0 2 3

18ECE206J Advanced Digital System Design 2 0 2 3 18ECE207J Real Time Operating Systems 2 0 2 3

18ECE301J CMOS Analog IC Design 2 0 2 3

18ECE302T MEMS Technologies 3 0 0 3

18ECE303T Nanoelectronic Devices and Circuits 3 0 0 3

18ECE304T Microwave Integrated Circuits 3 0 0 3 18ECE305J ARM-SoC 2 0 2 3

18ECE306J ARM based Digital Signal Processing 2 0 2 3

18ECE307J Applied Machine Learning 2 0 2 3

Sub-Stream: Communication System Engg. 18ECE220T Advanced Mobile Communication Systems 3 0 0 3

18ECE221T Radar And Navigational Aids 3 0 0 3

18ECE222T Adhoc and Sensor Networks 3 0 0 3

18ECE223T Satellite Communication and Broadcasting 3 0 0 3

18ECE224T Cryptography and Network Security 3 0 0 3 18ECE225T Information Theory and Coding 3 0 0 3

18ECE226T Optical Components, Systems and Networks 3 0 0 3

18ECE320T Software Defined Networks 3 0 0 3

18ECE321T RF and Microwave Semiconductor Devices 3 0 0 3

18ECE322T Opto Electronics 3 0 0 3 18ECE323T Advanced Optical Communication 3 0 0 3

Sub-Stream: Signal Processing

18ECE240T Wavelets and Signal Processing 3 0 0 3

18ECE241J Signal Processing for Auditory System 2 0 2 3 18ECE242J Pattern Recognition and Neural Networks 2 0 2 3

18ECE243J Digital Image and Video Processing 2 0 2 3

18ECE244J DSP System Design 2 0 2 3

18ECE245T Adaptive Signal Processing 3 0 0 3

18ECE340T Machine Perception with Cognition 3 0 0 3 18ECE341T Multimedia Compression Techniques 3 0 0 3

18ECE342T Acoustical Signal Processing 3 0 0 3

18ECE343T Automatic Speech Recognition 3 0 0 3

List of Open Elective Courses (O) Any 4 Courses


Code Title L T P C

18ECO101T Short-Range Wireless Communication 3 0 0 3

18ECO102J Electronic Circuits & Systems 2 0 2 3 18ECO103T Modern Wireless Communication Systems 3 0 0 3

18ECO104J Audio and Speech Processing 2 0 2 3

18ECO105T Underwater Acoustics 3 0 0 3

18ECO106J PCB Design and Manufacturing 2 0 2 3

18ECO107T Fiber Optics and Optoelectronics 3 0 0 3 18ECO108J Embedded System Design using Arduino 2 0 2 3

18ECO109J Embedded System Design using Raspberry Pi

2 0 2 3

18ECO110J 3D Printing Hardware and Software 2 0 2 3

18ECO131J Virtual Instrumentation 2 0 2 3 18ECO132T Analytical Instrumentation 3 0 0 3

18ECO133T Sensors and Transducers 3 0 0 3

18ECO134T Industrial Automation 3 0 0 3

18ECO135T Fundamentals of MEMS 3 0 0 3

18ECO121T Basics of Biomedical Engineering 3 0 0 3 18ECO122T Hospital Information Systems 3 0 0 3

18ECO123T Biomedical Imaging 3 0 0 3

18ECO124T Human Assist Devices 3 0 0 3

18ECO125T Quality Control for Biomedical Devices 3 0 0 3

18ECO126T Sports Biomechanics 3 0 0 3


23. (f) Program Articulation (B.Tech in Electronics and Communication Engineering)

Program Learning Outcomes (PLO)

Graduate Attributes PSO

Course Code

Course Name

Eng

inee

ring

Kno

wle

dge

Pro

blem

Ana

lysi

s

Des

ign

& D

evel

opm

ent

Ana

lysi

s, D

esig

n,

Res

earc

h

Mod

ern

Tool

Usa

ge

Soc

iety

& C

ultu

re

Env

ironm

ent &

S

usta

inab

ility

Eth

ics

Indi

vidu

al &

Tea

m W

ork

Com

mun

icat

ion

Pro

ject

Mgt

. & F

inan

ce

Life

Lon

g Le

arni

ng

Sys

tem

Des

ign

&

Ana

lysi

s

Pro

ject

Man

agem

ent

Nat

ural

Sci

ence

s an

d M

athe

mat

ics

18ECS201T Control Systems H H - - - - - - - - - - H - -

18ECC102J Electronic Devices H - - H - - L H M - M L L -

18ECC103J Digital Electronic Principles H M H - H - - - H - - - M - L

18ECC104T Signals and Systems H H M M M - - - - - - - L - L

18ECC105T Electromagnetics and Transmission Lines M H - - - - - - - - L - M

18ECC201J Analog Electronic Circuits L M H - M - - - M - - M H L

18ECC202J Linear Integrated Circuits H M H - M - - - M - - - H L H

18ECC203J Microprocessor, Microcontroller and Interfacing Techniques M M M - H - - - - H - H L - M

18ECC204J Digital Signal Processing H M H - - - - - - - - - M - H

18ECC205J Analog and Digital Communication M H H M H - - - H H - M H M H

18ECC206J VLSI Design H M M - H - - - H M L M - - M

18ECC301T Wireless Communication H H H H M - - - - M - M M - H

18ECC302J Microwave & Optical Communications H H H M - - - - - - - - M - M

18ECC303J Computer Communication Networks - - M - L L M - - - - M - - H

18ECC350T Comprehension H H M L L L L L L L L L M M M

18ECP101L/ 18ECP104L

Massive Open Online Course-I/II - - - - - M L - - H - H - M -


Industrial Training-I/II H M M M M L M H H M H M L L L


Seminar-I/II - M M H - M H - - H - M - - -


Minor Project / Internship (4-6 weeks) H H H H M M H M M M M L M M M


Project / Semester Internship H H H H H H H H H H H H H H H

H – High Correlation, M – Medium Correlation, L – Low Correlation, PSO – Program Specific Outcomes (PSO)


23. (g) Implementation Plan (B. Tech in Electronics and Communication Engineering)

Semester - I

Code Course Title Hours/ Week

C L T P

18LEH102J- 18LEH106J

Foreign Language (Chinese/ French/ German/ Japanese / Korean)

2 0 2 3

18MAB101T Calculus and Linear Algebra 3 1 0 4

18CYB101J Chemistry 3 1 2 5 18CSS101J Programming for Problem Solving 3 0 4 5

18MES103L Civil and Mechanical Engineering Workshop 1 0 4 3

18PDM101L Professional Skills and Practices 0 0 2 0

18LEM102J Value Education 1 0 1 0

18GNM102L NCC / NSS / NSO 0 0 2 0


Semester – II


C L T P 18LEH101J English 2 0 2 3

18MAB102T Advanced Calculus and Complex Analysis 3 1 0 4

18PYB101J Physics: Electromagnetic Theory, Quantum Mechanics, Waves and Optics

3 1 2 5

18MES101L Engineering Graphics and Design 1 0 4 3

18EES101J Basic Electrical and Electronics Engineering 3 1 2 5

18PDH101L General Aptitude 0 0 2 1

18LEM101T Constitution of India 1 0 0 0

18GNM101L Physical and Mental Health using Yoga 0 0 2 0


Semester - III


C L T P 18MAB201T Transforms and Boundary Value Problems 3 1 0 4

18ECS201T Control Systems 3 0 0 3 18ECC102J Electronic Devices 3 0 2 4

18ECC103J Digital Electronic Principles 3 0 2 4

18ECC104T Signals and Systems 3 1 0 4

18ECC105T Electromagnetics and Transmission Lines 3 0 0 3

18PDH103J Social Engineering 1 0 2 2 18PDM201L Competencies in Social Skills 0 0 2 0

18CYM101T Environmental Science 1 0 0 0


Semester - IV


C L T P 18MAB203T Probability and Stochastic Process 3 1 0 4

18BTB101T Biology 2 0 0 2 18ECC201J Analog Electronic Circuits 3 0 2 4

18ECC202J Linear Integrated Circuits 3 0 2 4

Professional Elective-1 3 0 0 3

Open Elective-1 3 0 0 3

18PDH102T Management Principles for Engineers 2 0 0 2 18PDM202L Critical and Creative Thinking Skills 0 0 2 0


Semester - V


C L T P 18MAB302T Discrete Mathematics for Engineers 3 1 0 4

18ECC203J Microprocessor, Microcontroller and Interfacing Techniques

3 0 2 4

18ECC204J Digital Signal Processing 3 0 2 4

18ECC205J Analog and Digital Communication 3 0 2 4

Professional Elective – 2 3 0 0 3 Open Elective – 2 3 0 0 3

18ECP101L/ 18ECP102L/ 18ECP103L

Massive Open Online Course-I / Industrial Training-I / Seminar-I

0 0 2 1

18PDM301L Analytical and Logical Thinking Skills 0 0 2 0

18LEM110L Indian Art Form 0 0 2 0


Semester - VI


C L T P 18ECC206J VLSI Design 3 0 2 4 18ECC302J Microwave and Optical Communications 3 0 2 4

18ECC303J Computer Communication Networks 3 0 2 4

18ECC350T Comprehension 0 1 0 1


Professional Elective-4 3 0 0 3 Open Elective-3 3 0 0 3

18ECP104L/ 18ECP105L/ 18ECP106L

Massive Open Online Course-II / Industrial Training-II / Seminar-II

0 0 2 1

18PDH201L Employability Skills and Practices 0 0 2 1

18LEM109T Indian Traditional Knowledge 1 0 0 0


Semester - VII


C L T P 18ECC301T Wireless Communications 3 1 0 4



Open Elective-4 3 0 0 3

18ECP107L / 18ECP108L

Minor Project / Internship (4-6 weeks) 0 0 6 3


Semester - VIII


C L T P 18ECP109L / 18ECP110L

Project / Semester Internship 0 0 20 10


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Design & Development

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Modern Tool Usage

Society & Culture

Environment & Sustainability

Ethics

Individual & Team Work

Communication

Project Mgt. & Finance

Life Long Learning

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g Tr

ansf

er fu

nctio

n of

Firs

t ord

er s

yste

m

Impu

lse

and

para

bolic

sig

nal

Cha

ract

eris

tic e

quat

ion

Cor

rela

tion

betw

een

time

and

frequ

ency

dom

ain

Type

s of

con

trolle

rs-O

N-O

FF,P

,I,D

S-3

SL

O-1

R

epre

sent

atio

n of

mec

hani

cal t

rans

latio

nal

syst

ems

usin

g di

ffere

ntia

l equ

atio

n an

d de

term

inat

ion

of tr

ansf

er fu

nctio

n

Gen

eral

tran

sfer

func

tion

of s

econ

d or

der

syst

em

Con

cept

of s

tabi

lity

from

pol

e ze

ro

loca

tion

Bode

plo

t app

roac

h an

d st

abilit

y an

alys

is

Com

posi

te C

ontro

ller-P

I,PD

and

PID

SL

O-2

Id

entif

icat

ion

of d

ampi

ng fa

ctor

and

cl

assi

ficat

ion

base

d on

it

Nee

d fo

r Sta

bilit

y an

alys

is a

nd

avai

labl

e te

chni

ques

R

ules

for s

ketc

hing

bod

e pl

ot

Con

trolle

r par

amet

ers

and

tuni

ng

met

hods

S-4

S

LO

-1

Rep

rese

ntat

ion

of m

echa

nica

l rot

atio

nal s

yste

ms

and

dete

rmin

atio

n of

tran

sfer

func

tion

Step

resp

onse

of c

ritic

ally

dam

ped

seco

nd

orde

r sys

tem

N

eces

sary

and

suf

ficie

nt C

ondi

tion

for

stab

ility

Bode

plo

t of t

ypic

al s

yste

ms

Des

ign

Spec

ifica

tion,

con

trolle

r co

nfig

urat

ions

- ON

-OFF

con

trolle

r S

LO

-2

Step

resp

onse

of u

nder

dam

ped

seco

nd

orde

r sys

tem

Si

gnifi

canc

e of

Rou

th H

urw

itz

Tech

niqu

e

S

-5

SL

O-1

C

onve

rsio

ns o

f Mec

hani

cal s

yste

m to

Ele

ctric

al

syst

em

Step

resp

onse

of o

ver d

ampe

d se

cond

or

der s

yste

m

Com

puta

tion

of R

outh

arra

y

Bode

plo

t of t

ypic

al s

yste

ms

Des

ign

Spec

ifica

tion,

con

trolle

r co

nfig

urat

ions

-PID

con

trolle

r S

LO

-2

f-V a

nd f-

I ele

ctric

al a

nalo

gies

St

ep re

spon

se o

f und

ampe

d se

cond

ord

er

syst

em

Rou

th a

rray

of s

tabl

e sy

stem

s

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

8

S-6

S

LO

-1

Bloc

k di

agra

m re

duct

ion

rule

s an

d m

etho

dolo

gy

Tim

e do

mai

n sp

ecifi

catio

ns a

nd th

eir

sign

ifica

nce

Rou

th a

rray

of U

nsta

ble

syst

ems

Pola

r plo

t and

sig

nific

ance

D

esig

n of

spe

ed c

ontro

l sys

tem

for D

C

mot

or

SL

O-2

N

umer

ical

sol

utio

n R

outh

arra

y of

Uns

tabl

e sy

stem

s N

yqui

st s

tabi

lity

crite

rion

S-7

S

LO

-1

Eval

uatio

n of

tran

sfer

func

tion

usin

g bl

ock

diag

ram

re

duct

ion

Tran

sien

t and

ste

ady

stat

e er

ror a

naly

sis

Roo

t loc

us te

chni

que

Sket

chin

g of

pol

ar p

lot o

n po

lar g

raph

s

Des

ign

of c

ontro

l sys

tem

for T

win

Rot

or

Mul

ti in

put M

ulti

outp

ut S

yste

m(T

RM

S)

with

one

deg

ree

of fr

eedo

m

SL

O-2

St

atic

and

dyn

amic

Erro

r coe

ffici

ents

R

ules

for s

ketc

hing

root

locu

s

S-8

S

LO-1

Si

gnal

flow

gra

phs

and

eval

uatio

n of

tran

sfer

fu

nctio

n St

atic

erro

r con

stan

ts a

nd e

valu

atio

n of

st

eady

sta

te e

rror

Roo

t loc

us p

lot o

f typ

ical

sys

tem

s Po

lar p

lot o

f typ

ical

sys

tem

s C

ase

stud

y 1

SLO

-2

S-9

S

LO-1

Bl

ock

diag

ram

to s

igna

l flo

w c

onve

rsio

n D

ynam

ic e

rror c

onst

ants

and

eva

luat

ion

of

stea

dy s

tate

erro

r R

oot l

ocus

plo

t of t

ypic

al s

yste

ms

Pola

r plo

t of t

ypic

al s

yste

ms

Cas

e st

udy

2 S

LO-2

Lea

rnin

g

Res

ou

rces

1.

Nag

rath

.J a

nd G

opal

.M,,

“Con

trol

Sys

tem

Eng

inee

ring”

, 5th

Edi

tion,

New

Age

, 200

7

2. B

enja

min

C K

uo, “

Aut

omat

ic C

ontr

ol S

yste

m”,

9th

edi

tion,

Joh

n W

iley

& S

ons,

201

0 3.

Gop

al.M

, “C

ontr

ol S

yste

m P

rinci

ples

and

Des

ign”

, 2nd

Edi

tion,

TM

H, 2

002

4. S

ivan

anda

m a

nd D

eepa

, “C

ontr

ol s

yste

m E

ngin

eerin

g us

ing

MA

TLA

B”,

2nd

edi

tion,

Vik

as p

ublis

hers

, 200

7

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)

Leve

l 1

Rem

embe

r 40

%

30%

30

%

30%

30

%

Und

erst

and

Leve

l 2

App

ly

40%

40

%

40%

40

%

40%

A

naly

ze

Leve

l 3

Eva

luat

e 20

%

30%

30

%

30%

30

%

Cre

ate

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

Dr.

T.D

eepa

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

M

rs.R

.Bak

hya

Laks

hmi,

SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

9

B. T

ech

in E

lect

ron

ics

and

Co

mm

un

icat

ion

En

gin

eeri

ng

2018

Reg

ula

tio

ns

P

rofe

ssio

nalC

ore

Cou

rses

(C

)

D

epar

tmen

t of E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g S

RM

Inst

itute

of S

cien

ce a

nd T

echn

olog

y S

RM

Nag

ar, K

atta

nkul

athu

r –

6032

03, K

anch

eepu

ram

Dis

tric

t, T

amiln

adu

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

Co

urs

e C

od

e 18

EC

C10

2J

Co

urs

e N

ame

ELE

CT

RO

NIC

DE

VIC

ES

C

ou

rse

Cat

ego

ry

C

Prof

essi

onal

Cor

e L

T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18EE

S101

J C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

C20

1J, 1

8EC

C20

2J, 1

8EC

E203

T, 1

8EC

E303

T, 1

8EC

E321

T, 1

8EC

E322

T

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Prov

ide

a ba

sis

for u

nder

stan

ding

sem

icon

duct

or m

ater

ial,

how

a p

n ju

nctio

n is

form

ed a

nd it

s pr

inci

ple

of o

pera

tion

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Expl

ain

the

impo

rtanc

e of

dio

de in

ele

ctro

nic

circ

uits

by

pres

entin

g ap

prop

riate

dio

de a

pplic

atio

ns





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO–1: Professional Achievement

PSO – 2: Project Management

Techniques


CL

R-3

:

Dis

cuss

the

basi

c ch

arac

teris

tics

of s

ever

al o

ther

type

s of

dio

des

that

are

des

igne

d fo

r spe

cific

app

licat

ions

CL

R-4

:

Des

crib

e th

e ba

sic

stru

ctur

e, o

pera

tion

and

char

acte

ristic

s of

BJT

, and

dis

cuss

its

use

as a

sw

itch

and

an a

mpl

ifier

.

CL

R-5

:

Des

crib

e th

e ba

sic

stru

ctur

e, o

pera

tion

and

char

acte

ristic

s of

MO

SFET

, and

dis

cuss

its

use

as a

sw

itch

and

an a

mpl

ifier

.

CL

R-6

:

Use

mod

ern

engi

neer

ing

tool

s su

ch a

s PS

PIC

E to

car

ry o

ut d

esig

n ex

perim

ents

and

gai

n ex

perie

nce

with

inst

rum

ents

an

d m

etho

ds u

sed

by te

chni

cian

s an

d el

ectro

nic

engi

neer

s

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expl

ain

the

oper

atio

n, c

hara

cter

istic

s, p

aram

eter

s an

d sp

ecifi

catio

ns o

f sem

icon

duct

or d

iode

s an

d sp

ecia

l dio

des

1 60

70

H

- -

- -

- -

- -

- -

M

- -

- C

LO

-2 :

Ill

ustra

te im

porta

nt a

pplic

atio

ns o

f sem

icon

duct

or d

iode

s an

d sp

ecia

l dio

des.

2

60

70

-

- -

- -

- -

- -

- -

M

- -

-

CL

O-3

:

Rev

iew

bip

olar

tran

sist

or c

onst

ruct

ion,

ope

ratio

n, c

hara

cter

istic

s an

d pa

ram

eter

s, a

s w

ell a

s its

app

licat

ion

in a

mpl

ifica

tion

and

switc

hing

. 1

60

70

H

-

- -

- -

- -

- -

- M

-

- -

CL

O-4

:

Rev

iew

fiel

d-ef

fect

tran

sist

or c

onst

ruct

ion,

ope

ratio

n, c

hara

cter

istic

s an

d pa

ram

eter

s, a

s w

ell a

s its

app

licat

ion

in

ampl

ifica

tion

and

switc

hing

. 1

60

70

H

-

- -

- -

- -

- -

- M

-

L -

CL

O-5

:

Con

stru

ct a

circ

uit,

then

mak

e fu

nctio

nal m

easu

rem

ents

to u

nder

stan

d th

e op

erat

ing

char

acte

ristic

s of

the

devi

ce /

circ

uit.

3 70

75

- -

- -

H

- -

- -

- -

- L

L -

CL

O-6

:

Solv

e sp

ecifi

c de

sign

pro

blem

, whi

ch a

fter c

ompl

etio

n w

ill be

ver

ified

usi

ng m

oder

n en

gine

erin

g to

ols

such

as

PSPI

CE.

2

70

75

-

- -

- H

-

- L

H

M

- M

-

- -

Du

rati

on

(h

ou

r)

Sem

ico

nd

uct

or

Dio

des

D

iod

e C

ircu

its

Sp

ecia

l Dio

des

B

ipo

lar

Jun

ctio

n T

ran

sist

ors

M

OS

Fie

ld-E

ffec

t T

ran

sist

ors

15

15

15

15

15

S-1

S

LO-1

Ba

sic

sem

icon

duct

or th

eory

: Int

rinsi

c &

extri

nsic

sem

icon

duct

ors

HW

R o

pera

tion,

Effi

cien

cy a

nd ri

pple

fact

or B

ackw

ard

diod

e Ph

ysic

al s

truct

ure

Phys

ical

stru

ctur

e

SLO

-2

Cur

rent

flow

in s

emic

ondu

ctor

s Pr

oble

m s

olvi

ng

Vara

ctor

dio

de

Dev

ice

oper

atio

n of

BJT

D

evic

e op

erat

ion

of E

-MO

SFET

& D

-M

OSF

ET

S-2

S

LO-1

PN

junc

tion

theo

ry: E

quilib

rium

PN

junc

tion

Cen

ter-T

appe

d Tr

ansf

orm

er F

WR

op

erat

ion,

Effi

cien

cy a

nd ri

pple

fact

or

Step

reco

very

dio

de

Cur

rent

-Vol

tage

cha

ract

eris

tics

of C

E BJ

T co

nfig

urat

ion

I-V c

hara

cter

istic

s of

E-M

OSF

ET

SLO

-2

Forw

ard

bias

ed P

N ju

nctio

n Pr

oble

m s

olvi

ng

Poin

t-con

tact

dio

de

Cur

rent

-Vol

tage

cha

ract

eris

tics

of C

E BJ

T co

nfig

urat

ion

Prob

lem

sol

ving

S-3

S

LO-1

R

ever

se b

iase

d PN

junc

tion

Brid

ge F

WR

ope

ratio

n, E

ffici

ency

and

rip

ple

fact

or

Met

al-s

emic

ondu

ctor

junc

tion:

Stru

ctur

e,

Ener

gy b

and

diag

ram

C

urre

nt-V

olta

ge c

hara

cter

istic

s of

CB

BJT

conf

igur

atio

n D

eriv

e dr

ain

curre

nt

SLO

-2

Rel

atio

n be

twee

n C

urre

nt a

nd V

olta

ge

Prob

lem

sol

ving

Fo

rwar

d &

Rev

erse

Cha

ract

eris

tics

of

Scho

ttky

Dio

de

Cur

rent

-Vol

tage

cha

ract

eris

tics

of C

B BJ

T co

nfig

urat

ion

Prob

lem

sol

ving

S

4-5

SLO

-1

Lab

1: P

N J

unct

ion

Dio

de C

hara

cter

istic

s La

b 4:

Dio

de c

lippi

ng a

nd c

lam

ping

circ

uits

La

b 7:

Ser

ies

and

Shun

t Reg

ulat

ors

Lab

10: B

JT a

nd M

OSF

ET S

witc

hing

C

ircui

ts

Lab

13: R

epea

t Exp

erim

ents

S

LO-2

S-6

S

LO-1

C

alcu

late

dep

letio

n w

idth

Fi

lters

: Ind

ucto

r & C

apac

itor F

ilter

s Tu

nnel

Dio

de

Cur

rent

-Vol

tage

cha

ract

eris

tics

of C

C B

JT

conf

igur

atio

n D

eriv

e tra

nsco

nduc

tanc

e

SLO

-2

Cal

cula

te b

arrie

r pot

entia

l Pr

oble

m s

olvi

ng

Tunn

el D

iode

C

urre

nt-V

olta

ge c

hara

cter

istic

s of

CC

BJT

co

nfig

urat

ion

Prob

lem

sol

ving

S-7

S

LO-1

D

eriv

e di

ode

curre

nt e

quat

ion

Filte

rs: L

C &

CLC

Filt

ers

Gun

n D

iode

BJ

T as

an

ampl

ifier

C

MO

S FE

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

SLO

-2

Der

ive

diod

e cu

rrent

equ

atio

n Pr

oble

m s

olvi

ng

Gun

n D

iode

BJ

T as

a s

witc

h M

OSF

ET a

s an

am

plifi

er

S-8

S

LO-1

Ef

fect

of C

apac

itanc

e in

PN

junc

tion:

Tr

ansi

tion

Cap

acita

nce

Dio

de C

lippe

rs

IMPA

TT D

iode

BJ

T ci

rcui

t mod

els

– h-

para

met

er

MO

SFET

as

a sw

itch

SLO

-2

Diff

usio

n C

apac

itanc

e Pr

oble

m s

olvi

ng

IMPA

TT D

iode

BJ

T ci

rcui

t mod

els

– hy

brid

-π p

aram

eter

Pr

oble

m s

olvi

ng

S

9-10

S

LO-1

La

b 2:

Zen

er d

iode

cha

ract

eris

tics

Lab

5: B

JT C

hara

cter

istic

s La

b 8:

MO

SFET

Cha

ract

eris

tics

Lab

11: P

hoto

cond

uctiv

e C

ell,

LED

, and

So

lar C

ell C

hara

cter

istic

s La

b-14

: Mod

el E

xam

inat

ion

SLO

-2

S-1

1 S

LO-1

En

ergy

ban

d st

ruct

ure

of P

N J

unct

ion

Dio

de

Dio

de C

lam

pers

PI

N D

iode

BJ

T bi

asin

g ci

rcui

ts a

nd s

tabi

lity

anal

ysis

: Ba

se b

ias

and

emitt

er b

ias

Bias

ing

Circ

uits

for M

OSF

ET: G

ate

Bias

SLO

-2

Idea

l dio

de a

nd it

s cu

rrent

-vol

tage

ch

arac

teris

tics

Prob

lem

sol

ving

PI

N P

hoto

diod

e Pr

oble

m s

olvi

ng

Prob

lem

Sol

ving

S-1

2 S

LO-1

Te

rmin

al c

hara

cter

istic

s &

para

met

ers

Volta

ge M

ultip

liers

Av

alan

che

phot

odio

de

Volta

ge-d

ivid

er b

ias

Self-

bias

SLO

-2

Dio

de m

odel

ing

Zene

r dio

de: C

hara

cter

istic

s, b

reak

dow

n m

echa

nism

s La

ser d

iode

Pr

oble

m s

olvi

ng

Prob

lem

Sol

ving

S-1

3 S

LO-1

D

C lo

ad li

ne a

nd a

naly

sis

Zene

r res

ista

nces

and

tem

pera

ture

effe

cts

Zene

r dio

de a

s vo

ltage

regu

lato

r Pr

oble

m s

olvi

ng

Col

lect

or-fe

edba

ck b

ias

Volta

ge-d

ivid

er b

ias

SLO

-2

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

Sol

ving

S

14-1

5 S

LO-1

La

b 3:

Dio

de re

ctifi

er c

ircui

ts

Lab

6: B

JT B

iasi

ng C

ircui

ts

Lab

9: M

OSF

ET B

iasi

ng C

ircui

ts

Lab

12: S

imul

atio

n ex

perim

ents

usi

ng

PSPI

CE

La

b 15

: End

-Sem

este

r Pra

ctic

al

Exam

inat

ion

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

Dav

id A

. Bel

l, El

ectro

nic

Dev

ices

and

Circ

uits

, 5th

ed.

, Oxf

ord

Uni

vers

ity P

ress

, 201

5 2.

D

onal

d N

eam

en, E

lect

roni

c C

ircui

ts: A

naly

sis

and

Des

ign,

3rd

ed.

, McG

raw

-Hill

Educ

atio

n, 2

011

3.

Adel

S. S

edra

, Ken

neth

C. S

mith

, Mic

roel

ectro

nic

Circ

uits

: The

ory

and

Appl

icat

ions

, OU

P, 2

014

4.

Thom

as L

. Flo

yd, E

lect

roni

c D

evic

es”,

9th e

d., P

ears

on E

duca

tion,

201

3

5.

Rob

ert L

. Boy

lest

ad, L

ouis

Nas

hels

ky, E

lect

roni

c D

evic

es a

nd C

ircui

t The

ory,

11th

ed.

, Pea

rson

Edu

catio

n, 2

013

6.

Muh

amm

ad R

ashi

d, M

icro

elec

troni

c C

ircui

ts: A

naly

sis

& D

esig

n, 2

nd e

d., C

enga

ge L

earn

ing,

201

0 7.

M

uham

med

H R

ashi

d, In

trodu

ctio

n to

Psp

ice

usin

g O

rCAD

for c

ircui

ts a

nd e

lect

roni

cs, 3

rd e

d., P

ears

on, 2

004

8 .

Labo

rato

ry M

anua

l, D

epar

tmen

t of E

CE,

SR

M U

nive

rsity

L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Mr.

Man

ikan

dan

AVM

, SR

MIS

T

2. M

r. H

arih

aras

udha

n –

John

son

Con

trols

, Pun

e, h

arih

aras

udha

n.v@

jci.c

om

2. D

r. Ve

nkat

esan

, Sr.

Scie

ntis

t, N

IOT,

Che

nnai

, ven

kat@

niot

.res.

in

2. D

r. D

iwak

ar R

Mar

ur, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

Co

urs

e C

od

e 18

EC

C10

3J

Co

urs

e N

ame

DIG

ITA

L E

LEC

TR

ON

IC P

RIN

CIP

LES

C

ou

rse

Cat

ego

ry

C

Prof

essi

onal

Cor

e L

T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18EE

S101

J C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

C20

3J, 1

8EC

C20

6J, 1

8EC

E206

J

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Und

erst

and

bina

ry c

odes

, dig

ital a

rithm

etic

ope

ratio

ns a

nd a

ble

to s

impl

ify B

oole

an lo

gic

expr

essi

ons

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Des

crib

e ho

w b

asic

TTL

and

CM

OS

gate

s op

erat

e at

the

com

pone

nt le

vel





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Able

to d

esig

n si

mpl

e co

mbi

natio

nal l

ogic

s us

ing

basi

c ga

tes

and

MSI

circ

uits

CL

R-4

:

Fam

iliariz

e w

ith b

asic

seq

uent

ial l

ogic

com

pone

nts:

flip

-flop

s, re

gist

ers,

cou

nter

s an

d th

eir u

sage

, and

abl

e to

des

ign

and

anal

yze

sequ

entia

l log

ic c

ircui

ts a

nd F

inite

Sta

te M

achi

nes.

CL

R-5

:

Know

how

to im

plem

ent l

ogic

circ

uits

usi

ng P

LDs.

CL

R-6

:

Use

mod

ern

engi

neer

ing

tool

s su

ch a

s PS

PIC

E / L

ogis

im to

car

ry o

ut d

esig

n ex

perim

ents

and

gai

n ex

perie

nce

with

in

stru

men

ts a

nd m

etho

ds u

sed

by te

chni

cian

s an

d el

ectro

nic

engi

neer

s

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Sim

plify

Boo

lean

exp

ress

ions

; car

ry o

ut a

rithm

etic

ope

ratio

ns w

ith b

inar

y nu

mbe

rs; a

pply

par

ity m

etho

d fo

r erro

r det

ectio

n an

d co

rrect

ion.

1

90

75

H

-

- -

- -

- -

- -

- -

- -

-

CL

O-2

:

Expl

ain

the

oper

atio

nal c

hara

cter

istic

s / p

rope

rties

of d

igita

l IC

s; im

plem

ent g

ates

as

wel

l as

othe

r typ

es o

f IC

dev

ices

usi

ng

two

maj

or IC

tech

nolo

gies

, TTL

and

CM

OS.

1

80

70

H

-

- -

- -

- -

- -

- -

- -

-

CL

O-3

:

Iden

tify

eigh

t bas

ic ty

pes

of fi

xed-

func

tion

com

bina

tiona

l log

ic fu

nctio

ns a

nd d

emon

stra

te h

ow th

e de

vice

s / c

ircui

ts c

an b

e us

ed in

bui

ldin

g co

mpl

ete

digi

tal s

yste

ms

such

as

com

pute

rs.

2,3

90

75

-

M

H

- H

-

- -

- -

- -

- -

-

CL

O-4

:

Anal

yze

and

desi

gn M

ealy

and

Moo

re m

odel

s of

seq

uent

ial c

ircui

ts u

sing

sev

eral

type

s of

flip

-flop

s.

2,3

90

75

-

M

H

- H

-

- -

- -

- -

- -

- C

LO

-5 :

Im

plem

ent m

ultip

le o

utpu

t com

bina

tiona

l log

ic c

ircui

ts u

sing

PLD

s; E

xpla

in th

e op

erat

ion

of a

CPL

D a

nd F

PGA.

2

80

75

-

M

H

- L

- -

- -

- -

- -

- -

CL

O-6

:

Solv

e sp

ecifi

c de

sign

pro

blem

, whi

ch a

fter c

ompl

etio

n w

ill be

ver

ified

usi

ng m

oder

n en

gine

erin

g to

ols

such

as

PSPI

CE

/ Lo

gisi

m

2 90

75

- M

H

-

H

- -

- H

-

- -

M

- L

Du

rati

on

(h

ou

r)

Bin

ary

Co

des

, Dig

ital

Ari

thm

etic

an

d

Sim

plif

icat

ion

of

Bo

ole

an F

un

ctio

ns

Lo

gic

Fam

ilies

C

om

bin

atio

nal

Sys

tem

s S

equ

enti

al S

yste

ms

Mem

ory

an

d P

rog

ram

mab

le L

og

ic

15

15

15

15

15

S-1

S

LO-1

Bi

nary

Cod

es, D

igita

l Arit

hmet

ic a

nd

Sim

plifi

catio

n of

Boo

lean

Fun

ctio

ns

Intro

duct

ion

Bina

ry a

rithm

etic

uni

ts

Flip

-flop

and

Lat

ch: S

R la

tch,

R

AM M

emor

y de

codi

ng

SLO

-2

Erro

r det

ectin

g co

des

TT

L Lo

gic

Fam

ily

Adde

r JK

flip

-flop

, T fl

ip-fl

op,D

flip

-flop

R

OM

S-2

S

LO-1

Er

ror c

orre

ctin

g co

de

Tote

m-p

ole

TTL

Des

ign

of H

alf a

dder

M

aste

r-sla

ve R

S fli

p-flo

p Pr

ogra

mm

able

Log

ic D

evic

es (P

LDs)

: Ba

sic

conc

epts

SLO

-2

Ham

min

g C

ode

open

-col

lect

or a

nd tr

ista

te T

TL

Des

ign

of F

ull a

dder

M

aste

r-sla

ve J

K fli

p-flo

p PR

OM

S-3

S

LO-1

Ar

ithm

etic

num

ber r

epre

sent

atio

n Sc

hottk

ey T

TL, s

tand

ard

TTL

char

acte

ristic

s Su

btra

ctor

R

egis

ters

& C

ount

ers

PRO

M a

s PL

D

SLO

-2

Bina

ry a

rithm

etic

M

etal

Oxi

de S

emic

ondu

ctor

logi

c fa

milie

s D

esig

n su

btra

ctor

usi

ng lo

gic

gate

s Sh

ift re

gist

ers

(SIS

O, S

IPO

, PIS

O, P

IPO

) Pr

ogra

mm

able

Arra

y Lo

gic

(PAL

)

S

4-5

SLO

-1

LAB

1: S

tudy

of l

ogic

gat

es

LAB

4: D

esig

n an

d im

plem

ent e

ncod

er a

nd

deco

der u

sing

logi

c ga

tes

LAB

7: Im

plem

ent c

ombi

natio

nal l

ogic

fu

nctio

ns u

sing

sta

ndar

d IC

s LA

B 10

: Des

ign

and

impl

emen

t Sy

nchr

onou

s C

ount

ers

LAB

13: C

onst

ruct

com

bina

tiona

l circ

uit

usin

g Lo

gisi

m

SLO

-2

S-6

S

LO-1

H

exad

ecim

al a

rithm

etic

N

-MO

S

n-bi

t par

alle

l add

er &

sub

tract

or

Uni

vers

al s

hift

regi

ster

Pr

ogra

mm

able

Arra

y Lo

gic

(PAL

)

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

SLO

-2

Hex

adec

imal

arit

hmet

ic

P-M

OS

look

ahe

ad c

arry

gen

erat

or

Cou

nter

s: A

sync

hron

ous/

Rip

ple

coun

ters

Pr

ogra

mm

able

Log

ic A

rray

(PLA

)

S-7

S

LO-1

BC

D a

rithm

etic

sim

plifi

catio

n C

MO

S lo

gic

circ

uits

D

ecod

er

Sync

hron

ous

coun

ters

, Mod

ulus

-n C

ount

er

Prog

ram

mab

le L

ogic

Arra

y (P

LA)

SLO

-2

Min

imiz

atio

n of

Boo

lean

Fun

ctio

ns:

Alge

brai

c si

mpl

ifica

tion

C

hara

cter

istic

s of

MO

S lo

gic

Enco

der

Rin

g co

unte

r, Jo

hnso

n co

unte

r D

esig

n co

mbi

natio

nal c

ircui

ts u

sing

PLD

’s

S-8

S

LO-1

Pr

oble

ms

on A

lgeb

raic

sim

plifi

catio

n

Com

pare

MO

S lo

gic

circ

uits

(CM

OS)

with

TT

L di

gita

l circ

uit

Mul

tiple

xer

Up-

Dow

n co

unte

r D

esig

n co

mbi

natio

nal c

ircui

ts u

sing

PLD

’s

SLO

-2

Karn

augh

map

sim

plifi

catio

n

Elec

trica

l cha

ract

eris

tics

Dem

ultip

lexe

r M

ealy

and

Moo

re m

odel

D

esig

n co

mbi

natio

nal c

ircui

ts u

sing

PLD

’s

S

9-10

S

LO-1

LA

B 2:

Des

ign

and

impl

emen

t Add

er a

nd

Subt

ract

or u

sing

logi

c ga

tes

LAB

5: D

esig

n an

d im

plem

ent M

ultip

lexe

r an

d D

emul

tiple

xer u

sing

logi

c ga

tes

LAB

8: V

erify

cha

ract

eris

tic ta

ble

of fl

ip-

flops

LA

B 11

: Con

stru

ct a

nd v

erify

shi

ft re

gist

ers

LAB

14: M

odel

Pra

ctic

al E

xam

inat

ion

SLO

-2

S-1

1 S

LO-1

Pr

oble

ms

on K

arna

ugh

map

sim

plifi

catio

n Fa

n-ou

t C

ode

conv

erte

rs

Sync

hron

ous

(Clo

cked

) seq

uent

ial c

ircui

ts

Des

ign

of c

ombi

natio

nal c

ircui

ts u

sing

PL

D’s

SLO

-2

Prob

lem

s on

Kar

naug

h m

ap s

impl

ifica

tion

Pr

opag

atio

n D

elay

M

agni

tude

com

para

tors

Sy

nchr

onou

s (C

lock

ed) s

eque

ntia

l circ

uits

D

esig

n se

quen

tial c

ircui

ts u

sing

PLD

’s

S-1

2 S

LO-1

Q

uine

McC

lusk

ey

Pow

er d

issi

patio

n

Mag

nitu

de c

ompa

rato

rs

Sync

hron

ous

(Clo

cked

) seq

uent

ial c

ircui

ts

Des

ign

sequ

entia

l circ

uits

usi

ng P

LD’s

SLO

-2

Tabu

latio

n m

etho

d N

oise

mar

gin

Pa

rity

gene

rato

rs (O

dd p

arity

) An

alyz

e an

d de

sign

syn

chro

nous

se

quen

tial c

ircui

ts

Des

ign

sequ

entia

l circ

uits

usi

ng P

LD’s

S-1

3 S

LO-1

Pr

oble

ms

on Q

uine

McC

lusk

ey o

r Ta

bula

tion

met

hod.

Su

pply

vol

tage

leve

ls

Parit

y ge

nera

tors

(Eve

n pa

rity)

St

ate

redu

ctio

n

Des

ign

sequ

entia

l circ

uits

usi

ng P

LD’s

SLO

-2

Exer

cise

pro

blem

s us

ing

Tabu

latio

n m

etho

d

Ope

ratio

nal v

olta

ge le

vels

Im

plem

enta

tion

of c

ombi

natio

nal l

ogic

by

stan

dard

IC’s

. St

ate

assi

gnm

ent

Des

ign

sequ

entia

l circ

uits

usi

ng P

LD’s

S

14-1

5 S

LO-1

La

b 3:

Des

ign

and

Impl

emen

t 2-b

it M

agni

tude

Com

para

tor u

sing

logi

c ga

tes

LAB-

6: D

esig

n an

d im

plem

ent c

ode

conv

erte

rs u

sing

logi

c ga

tes

LAB

9: C

onst

ruct

and

ver

ify 4

-bit

rippl

e co

unte

r, M

od-1

0/M

od-1

2 rip

ple

coun

ters

La

b 12

: Con

stru

ct m

ini p

roje

ct w

ork

LAB

15:

Uni

vers

ity P

ract

ical

Exa

m

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

Mor

ris M

ano

M, M

icha

el D

. Cile

tti, D

igita

l Des

ign

with

an

Intro

duct

ion

to th

e Ve

rilog

HD

L, 5

th e

d.,

Pear

son

Educ

atio

n, 2

014

2.

Cha

rles

H R

oth

(Jr),

Lar

ry L

. Kin

ney,

Fun

dam

enta

ls o

f Log

ic D

esig

n, 5

th e

d., C

enga

ge L

earn

ing

Indi

a E d

ition

, 201

0 3.

Th

omas

L. F

loyd

, Dig

ital F

unda

men

tals

, 10th

ed.

, Pea

rson

Edu

catio

n, 2

013

4.

Ron

ald

J. T

occi

, Dig

ital S

yste

m P

rinci

ples

and

App

licat

ions

, 10th

ed.

, Pea

rson

Edu

catio

n, 2

009

5.

Don

ald

P Le

ach,

Alb

ert P

aul M

alvi

no, G

outa

m S

aha,

Dig

ital P

rinci

ples

and

App

licat

ions

, 6th

ed.

, Tat

a-M

cgra

w H

ill, 2

008

6.

LA

B M

ANU

AL, D

epar

tmen

t of E

CE,

SR

M U

nive

rsity

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

r. L

evel

1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Mr.

Visw

anat

han

B, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

Co

urs

e C

od

e 18

EC

C10

4T

Co

urs

e N

ame

SIG

NA

LS A

ND

SY

ST

EM

S

Co

urs

e C

ateg

ory

C

Pr

ofes

sion

al C

ore

L T

P

C

3 1

0 4

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

18M

AB20

1T

Pro

gre

ssiv

e C

ou

rses

18

ECC

204J

, 18E

CS2

01T,

18E

CE2

40T,

18E

CE2

41J

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Know

abo

ut re

quire

men

ts o

f sig

nal a

nd s

yste

m a

naly

sis

in c

omm

unic

atio

n.

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

anal

ysis

of P

erio

dic

and

Aper

iodi

c C

ontin

uous

tim

e Si

gnal

s us

ing

Four

ier s

erie

s an

d tra

nsfo

rms





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Educ

ate

abou

t Con

tinuo

us ti

me

syst

em th

roug

h La

plac

e tra

nsfo

rm a

nd C

onvo

lutio

n in

tegr

al

CL

R-4

:

Und

erst

and

the

char

acte

rizat

ion

of th

e D

iscr

ete

time

sign

als

and

syst

em th

roug

h D

TFT,

Con

volu

tion

sum

CL

R-5

:

Und

erst

and

the

conc

ept o

f Z-

Tran

sfor

m fo

r the

ana

lysi

s of

DT

syst

em

CL

R-6

:

Dev

elop

exp

ertis

e in

tim

e-do

mai

n an

d fre

quen

cy d

omai

n ap

proa

ches

to th

e an

alys

is o

f con

tinuo

us a

nd d

iscr

ete

syst

ems

and

also

the

abilit

y to

app

ly m

oder

n co

mpu

tatio

n s

oftw

are

tool

for t

he a

naly

sis

of e

lect

rical

eng

inee

ring

prob

lem

s

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Und

erst

and

the

vario

us c

lass

ifica

tions

of S

igna

ls a

nd S

yste

ms

1 65

60

H

- -

- -

- -

- -

- -

- -

- -

CL

O-2

:

Anal

yze

Perio

dic

and

Aper

iodi

c C

ontin

uous

tim

e Si

gnal

s us

ing

Four

ier s

erie

s an

d Fo

urie

r Tra

nsfo

rm

2 65

60

- H

-

- -

- -

- -

- -

- -

- -

CL

O-3

:

Anal

yze

and

char

acte

rize

the

Con

tinuo

us ti

me

syst

em th

roug

h La

plac

e tra

nsfo

rm a

nd C

onvo

lutio

n in

tegr

al.

2 65

60

- H

-

- -

- -

- -

- -

- -

- -

CL

O-4

:

Anal

yze

and

char

acte

rize

the

Dis

cret

e tim

e si

gnal

s an

d sy

stem

thro

ugh

DTF

T, C

onvo

lutio

n su

m

2 65

60

- H

M

-

- -

- -

- -

- -

- -

- C

LO

-5 :

An

alyz

e an

d ch

arac

teriz

e th

e D

iscr

ete

time

syst

em u

sing

Z tr

ansf

orm

2

65

60

-

H

M

- -

- -

- -

- -

- -

- L

CL

O-6

:

Appl

y th

e m

athe

mat

ical

tec

hniq

ues

used

for

con

tinuo

us-ti

me

sign

al a

nd d

iscr

ete-

time

sign

al a

nd s

yste

m a

naly

sis

2 65

60

- H

-

M

M

- -

- -

- -

- L

- -

Du

rati

on

(h

ou

r)

Cla

ssif

icat

ion

of

Sig

nal

s an

d S

yste

ms

An

alys

is o

f C

on

tin

uo

us

Tim

e S

ign

als

An

alys

is o

f L

TI C

T S

yste

m

An

alys

is o

f D

T S

ign

als

and

Sys

tem

s A

nal

ysis

of

LT

I DT

Sys

tem

usi

ng

Z-T

ran

sfo

rm

12

12

12

12

12

S-1

S

LO-1

In

trodu

ctio

n to

sig

nals

and

sys

tem

s In

trodu

ctio

n to

Fou

rier s

erie

s Sy

stem

mod

elin

g R

epre

sent

atio

n of

seq

uenc

es

Z tra

nsfo

rm –

intro

duct

ion

SLO

-2

Req

uire

men

ts o

f sig

nal a

nd s

yste

m

anal

ysis

in c

omm

unic

atio

n R

epre

sent

atio

n of

Con

tinuo

us ti

me

Perio

dic

sign

als

Des

crip

tion

of d

iffer

entia

l equ

atio

ns

Dis

cret

e fre

quen

cy s

pect

rum

and

rang

e R

egio

n of

con

verg

ence

of f

inite

dur

atio

n se

quen

ces

S-2

S

LO-1

C

ontin

uous

tim

e si

gnal

s (C

T si

gnal

s)

Four

ier s

erie

s: T

rigon

omet

ric

repr

esen

tatio

n So

lutio

n of

Diff

eren

tial e

quat

ion

D

iscr

ete

Tim

e Fo

urie

r Tra

nsfo

rm (D

TFT)

–

Exis

tenc

e Pr

oper

ties

of R

OC

SLO

-2

Dis

cret

e tim

e si

gnal

s (D

T si

gnal

s)

Four

ier s

erie

s: T

rigon

omet

ric

repr

esen

tatio

n D

iffer

entia

l equ

atio

n: Z

ero

initi

al c

ondi

tions

D

TFT

of s

tand

ard

sign

als

Prop

ertie

s of

RO

C

S-3

S

LO-1

R

epre

sent

atio

n of

sig

nals

: Ste

p, R

amp,

Pu

lse,

Impu

lse

Four

ier s

erie

s: C

osin

e re

pres

enta

tion

D

iffer

entia

l equ

atio

n: Z

ero

stat

e re

spon

se

Prop

ertie

s of

DTF

T Pr

oper

ties

of Z

tran

sfor

m

SLO

-2

Rep

rese

ntat

ion

of s

igna

ls: S

inus

oida

l, Ex

pone

ntia

l Fo

urie

r ser

ies:

Cos

ine

repr

esen

tatio

n

Diff

eren

tial e

quat

ion:

Zer

o In

put r

espo

nse

Prop

ertie

s of

DTF

T Pr

oper

ties

of Z

tran

sfor

m

S-4

S

LO-1

Ba

sic

oper

atio

n on

the

sign

als

Sym

met

ry c

ondi

tions

To

tal R

espo

nse

Inve

rse

DTF

T

Uni

late

ral z

tran

sfor

ms

SLO

-2

Prob

lem

s on

sig

nal o

pera

tions

Pr

oper

ties

of C

ontin

uous

tim

e Fo

urie

r se

ries

Step

resp

onse

Pr

actic

e on

IDTF

T Pr

oper

ties

of z

tran

sfor

m

S-5

S

LO-1

C

lass

ifica

tion

of C

T an

d D

T si

gnal

s:

Perio

dic

& Ap

erio

dic

sign

als.

Pr

actic

e pr

oble

ms

on F

ourie

r ser

ies

Impu

lse

resp

onse

Im

puls

e re

spon

se o

f a s

yste

m w

ith D

TFT

Bila

tera

l Z tr

ansf

orm

s

SLO

-2

Cla

ssifi

catio

n of

CT

and

DT

sign

als:

D

eter

min

istic

& R

ando

m s

igna

ls.

Prac

tice

prob

lem

s on

Fou

rier s

erie

s Fr

eque

ncy

resp

onse

Fr

eque

ncy

resp

onse

of a

sys

tem

with

D

TFT

Prop

ertie

s of

z tr

ansf

orm

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

S-6

S

LO-1

En

ergy

sig

nal

Gib

b’s

Phen

omen

on

Con

volu

tion

inte

gral

Pr

actic

e pr

oble

ms

R

elat

ion

betw

een

DTF

T an

d Z

trans

form

SLO

-2

Pow

er s

igna

l Pa

rsev

al’s

rela

tion

for p

ower

sig

nals

Pr

oper

ties

of c

onvo

lutio

n Pr

actic

e pr

oble

ms

Pr

actic

e pr

oble

ms

S-7

S

LO-1

Ev

en &

Odd

sig

nals

Po

wer

den

sity

spe

ctru

m,

Prac

tice

Prob

lem

s So

lutio

n of

line

ar c

onst

ant c

oeffi

cien

t di

ffere

nce

equa

tions

co

nditi

on fo

r cau

salit

y in

Z d

omai

n

SLO

-2

Even

& O

dd s

igna

ls

Freq

uenc

y sp

ectru

m.

Prac

tice

Prob

lem

s In

itial

con

ditio

ns

cond

ition

for s

tabi

lity

in Z

dom

ain

S-8

S

LO-1

C

T sy

stem

s an

d D

T sy

stem

s Fo

urie

r tra

nsfo

rm: I

ntro

duct

ion

Sign

al a

nd s

yste

m a

naly

sis

with

Lap

lace

tra

nsfo

rm

Solu

tion

of d

iffer

ence

equ

atio

ns

Inve

rse

Z tra

nsfo

rm

SLO

-2

Cla

ssifi

catio

n of

sys

tem

s: S

tatic

& D

ynam

ic R

epre

sent

atio

n of

Con

tinuo

us ti

me

sign

als

Con

verg

ence

of L

apla

ce T

rans

form

Ze

ro in

put r

espo

nse

Po

wer

ser

ies

expa

nsio

n

S-9

S

LO-1

Su

perp

ositi

on th

eore

m

Prop

ertie

s of

Con

tinuo

us ti

me

Four

ier

trans

form

Pr

oper

ties

of L

apla

ce tr

ansf

orm

So

lutio

n of

diff

eren

ce e

quat

ions

with

Zer

o st

ate

resp

onse

In

vers

e Z

trans

form

with

Par

tial f

ract

ion

SLO

-2

Line

ar &

Non

linea

r sys

tem

Pr

oper

ties

of C

ontin

uous

tim

e Fo

urie

r tra

nsfo

rm

Prop

ertie

s of

Lap

lace

tran

sfor

m

Tota

l res

pons

e In

vers

e Z

trans

form

with

Par

tial f

ract

ion

S-1

0 S

LO-1

Ti

me-

varia

nt &

Tim

e-in

varia

nt s

yste

m

Pars

eval

’s re

latio

n fo

r ene

rgy

sign

als

Inve

rse

Lapl

ace

trans

form

Ev

alua

tion

of Im

puls

e re

spon

se

Res

idue

met

hod

SLO

-2

Tim

e-in

varia

nt s

yste

m

Ener

gy d

ensi

ty s

pect

rum

Pr

oble

ms

Ev

alua

tion

of S

tep

resp

onse

C

onvo

lutio

n m

etho

d

S-1

1 S

LO-1

C

ausa

l sys

tem

An

alys

is o

f LTI

sys

tem

usi

ng F

ourie

r Tr

ansf

orm

An

alys

is a

nd c

hara

cter

izat

ion

of L

TI

syst

em u

sing

Lap

lace

tran

sfor

m

Con

volu

tion

Prop

ertie

s An

alys

is a

nd c

hara

cter

izat

ion

of D

T sy

stem

us

ing

Z-tra

nsfo

rm

SLO

-2

Non

caus

al s

yste

m

Anal

ysis

of L

TI s

yste

m u

sing

Fou

rier

Tran

sfor

m

Anal

ysis

and

cha

ract

eriz

atio

n of

LTI

sy

stem

usi

ng L

apla

ce tr

ansf

orm

C

onvo

lutio

n Su

m

Anal

ysis

and

cha

ract

eriz

atio

n of

DT

syst

em

usin

g Z-

trans

form

S-1

2 S

LO-1

St

able

& U

nsta

ble,

LTI S

yste

m

Prac

tice

prob

lem

s on

Fou

rier T

rans

form

Pr

actic

e pr

oble

ms

on L

apla

ce tr

ansf

orm

C

ircul

ar c

onvo

lutio

n

Prac

tice

prob

lem

s on

LTI

-DT

syst

ems

in Z

tra

nsfo

rm

SLO

-2

Uns

tabl

e, L

TI S

yste

m

Prac

tice

prob

lem

s on

Fou

rier T

rans

form

Pr

actic

e pr

oble

ms

on L

apla

ce tr

ansf

orm

Fr

eque

ncy

resp

onse

Pr

actic

e pr

oble

ms

on L

TI-D

T sy

stem

s in

Z

trans

form

L

earn

ing

R

eso

urc

es

1.

Ala

n V

Opp

enhe

im, R

onal

d W

. Sch

afer

Sig

nals

& S

yste

ms,

2nd

ed.

, Pea

rson

Edu

catio

n, 2

015

2.

P.R

amak

rishn

a R

ao, S

hank

ar P

rakr

iya,

Sig

nals

& S

yste

ms,

2nd

ed.

, McG

raw

Hill

Edu

catio

n, 2

015

3.

Sim

on H

ayki

n, B

arry

Van

Vee

n, S

igna

ls a

nd S

yste

ms,

2nd

ed.

, Joh

n W

iley

& S

ons

Inc.

, 200

7 4.

La

thi B

.P, L

inea

r Sys

tem

s &

Sig

nals

, 2nd

ed.

, Oxf

ord

Pre

ss, 2

009

5.

John

G. P

roak

is, M

anol

akis

, Dig

ital S

igna

l Pro

cess

ing,

Prin

cipl

es, A

lgor

ithm

s an

d A

pplic

atio

ns, 4

th e

d.,

Pea

rson

Edu

catio

n, 2

007.

6.

S

oftw

are:

Mat

lab

Stu

dent

Ver

sion

Rel

ease

201

1a, M

athw

orks

, Inc

. The

Mat

lab

Stu

dent

Ver

sion

and

to

olbo

xes

may

be

purc

hase

d th

roug

h th

e M

athw

orks

web

site

at h

ttp://

ww

w.m

athw

orks

.com

/ L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

A. R

uhan

Bev

i, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

D. M

alat

hi, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

16

Co

urs

e C

od

e 18

EC

C10

5T

Co

urs

e N

ame

ELE

CT

RO

MA

GN

ET

ICS

AN

D T

RA

NS

MIS

SIO

N L

INE

S

Co

urs

e C

ateg

ory

C

Pr

ofes

sion

al C

ore

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18PY

B101

J C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

C30

1T

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s C

lark

’s T

able

, IS

: 456

-200

0 C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Gai

n kn

owle

dge

on th

e ba

sic

conc

epts

and

insi

ghts

of E

lect

ric fi

eld

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Gai

n kn

owle

dge

on th

e ba

sic

conc

epts

and

insi

ghts

of M

agne

tic fi

eld

and

Emph

asiz

e th

e si

gnifi

canc

e of

Max

wel

l’s

equa

tions

.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Inte

rpre

t the

wav

e pr

opag

atio

n in

gui

ded

wav

egui

de.

CL

R-4

:

Acqu

ire th

e fu

ndam

enta

l kno

wle

dge

on T

rans

mis

sion

Lin

e Th

eory

.

CL

R-5

:

Acqu

ire th

e kn

owle

dge

on tr

ansm

issi

on li

ne p

aram

eter

cal

cula

tion

and

impe

danc

e m

atch

ing

conc

epts

.

CL

R-6

:

Acqu

ire k

now

ledg

e on

theo

retic

al c

once

pts

and

anal

ysis

tech

niqu

es to

find

sol

utio

ns fo

r pro

blem

s re

late

d to

el

ectro

mag

netic

wav

e pr

opag

atio

n an

d Tr

ansm

issi

on li

ne T

heor

y.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Appl

y th

e co

ncep

ts a

nd k

now

ledg

e to

sol

ve p

robl

ems

rela

ted

to e

lect

ric fi

eld.

2

60

60

M

H

-

- -

- -

- -

- -

- -

- L

CL

O-2

:

Anal

yze

the

conc

epts

of M

agne

tic fi

eld

and

Max

wel

l’s e

quat

ions

in th

e re

al w

orld

app

licat

ion.

2

60

60

H

M

-

- -

- -

- -

- -

- -

- L

CL

O-3

:

Tran

slat

e th

e ph

enom

enon

of g

uide

d w

ave

prop

agat

ion

and

its m

ode

of p

ropa

gatio

n.

1 60

60

H

M

- -

- -

- -

- -

- -

- -

L C

LO

-4 :

D

escr

ibe

the

impo

rtanc

e of

tran

smis

sion

line

theo

ry a

pplic

able

to lo

w fr

eque

ncy

trans

mis

sion

line

s.

1 60

60

M

H

- -

- -

- -

- -

- -

- -

L C

LO

-5 :

So

lve

trans

mis

sion

line

par

amet

er a

nd im

peda

nce

mat

chin

g th

roug

h an

alyt

ical

and

gra

phic

al m

etho

ds.

2 60

60

M

H

- -

- -

- -

- -

- -

- -

M

CL

O-6

:

Dem

onst

rate

how

ele

ctro

mag

netic

wav

es a

re g

ener

ated

usi

ng M

axw

ell’s

equ

atio

ns a

nd h

ow T

rans

mis

sion

line

s ar

e us

ed to

tra

nsfe

r ele

ctro

mag

netic

ene

rgy

from

one

poi

nt to

ano

ther

with

min

imum

loss

es o

ver a

wid

eban

d of

freq

uenc

ies.

2

60

60

M

H

-

- -

- -

- -

- -

L -

- H

Du

rati

on

(h

ou

r)

Ele

ctro

stat

ics

Mag

net

ost

atic

s an

d M

axw

ells

Eq

uat

ion

s E

lect

rom

agn

etic

Wav

es a

nd

W

aveg

uid

es

Tra

nsm

issi

on

Lin

e T

heo

ry

Tra

nsm

issi

on

Lin

e C

alcu

lato

r an

d

Imp

edan

ce M

atch

ing

9 9

9 9

9

S-1

S

LO-1

In

trodu

ctio

n

Ener

gy d

ensi

ty in

ele

ctro

stat

ic fi

eld

Intro

duct

ion

Tran

smis

sion

line

par

amet

ers

Intro

duct

ion

SLO

-2

Rec

tang

ular

co-

ordi

nate

Pr

oble

m d

iscu

ssio

n.

Wav

es in

gen

eral

Tr

ansm

issi

on li

ne p

aram

eter

s Sm

ith c

hart

Intro

duct

ion

S-2

S

LO-1

C

ylin

dric

al &

Sph

eric

al C

o-or

dina

te

Biot

sav

art l

aw-M

agne

tic fi

eld

inte

nsity

due

to

Infin

ite li

ne c

harg

e Pl

ane

wav

e in

loss

less

die

lect

ric

Tran

smis

sion

line

equ

ival

ent c

ircui

t R

efle

ctio

n co

effic

ient

, Sta

ndin

g w

ave

ratio

In

put i

mpe

danc

e ca

lcul

atio

n in

sm

ith c

hart

SLO

-2

Rev

iew

of v

ecto

r cal

culu

s H

- due

fini

te a

nd s

emi f

inite

line

cha

rge

Plan

e w

ave

in fr

ee s

pace

Ex

plan

atio

n Pr

actic

e pr

oble

ms.

S-3

S

LO-1

C

oulo

mb’

s La

w a

nd fi

eld

inte

nsity

Am

pere

’s c

ircui

tal l

aw&

appl

icat

ion:

Infin

ite

line

curre

nt

Plan

e w

ave

in g

ood

cond

ucto

r Tr

ansm

issi

on li

ne e

quat

ion

deriv

atio

n Si

ngle

stu

b m

atch

ing

Intro

duct

ion

SLO

-2

Prob

lem

bas

ed o

n co

ulom

b’s

law

In

finite

She

et c

urre

nt

Prob

lem

s ba

sed

on p

lane

wav

es in

lo

ssle

ss, f

ree

spac

e an

d go

od c

ondu

ctor

Pr

oble

m d

iscu

ssio

n.

Proc

edur

e fo

r sin

gle

stub

mat

chin

g

S-4

S

LO-1

El

ectri

c fie

ld d

ue to

con

tinuo

us c

harg

e di

strib

utio

n-.C

once

pt

Infin

itely

long

coa

xial

Tra

nsm

issi

on li

ne

Rec

tang

ular

wav

egui

de

Tran

smis

sion

line

cha

ract

eris

tics:

loss

less

lin

e Pr

oble

ms

solv

ing

in s

mith

cha

rt

SLO

-2

Der

ivat

ion

of E

due

Infin

ite L

ine

char

ge

Prob

lem

bas

ed o

n AC

L.

Rec

tang

ular

wav

egui

de-P

robl

ems

Dis

torti

onle

ss li

ne.

Prob

lem

s so

lvin

g in

sm

ith c

hart

S-5

S

LO-1

El

ectri

c fie

ld d

ue to

she

et c

harg

e M

agne

tic fl

ux d

ensi

ty

Tran

sver

se E

lect

ric (T

E) m

ode

Inpu

t im

peda

nce

deriv

atio

n Im

peda

nce

mat

chin

g us

ing

Qua

rter w

ave

trans

form

er

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

17

SLO

-2

Prob

lem

bas

ed o

n sh

eet c

harg

e Pr

oble

m b

ased

on

mag

netic

fiel

d an

d flu

x.

Tran

sver

se E

lect

ric (T

E) m

ode-

prob

lem

s Pr

oble

ms

for i

nput

impe

danc

e ca

lcul

atio

n.

Prob

lem

s.

S-6

S

LO-1

El

ectri

c fie

ld d

ue to

vol

ume

char

ge

Max

wel

l’s e

quat

ion

for s

tatic

fiel

d Tr

ansv

erse

Ele

ctric

(TE)

mod

e St

andi

ng w

ave

ratio

Si

ngle

stu

b tu

ner

SLO

-2

Elec

tric

flux

dens

ity

Fara

day’

s la

w

Tran

sver

se E

lect

ric (T

E) m

ode-

Prob

lem

s C

alcu

latio

n of

sta

ndin

g w

ave

ratio

. Pr

oble

m d

iscu

ssio

n

S-7

S

LO-1

G

auss

law

app

licat

ion-

poin

t cha

rge

Tran

sfor

mer

EM

F W

ave

prop

agat

ion

in g

uide

R

efle

ctio

n co

effic

ient

Sl

otte

d Li

ne (I

mpe

danc

e M

easu

rem

ent)

SLO

-2

Elec

tric

flux

due

infin

ite li

ne c

harg

e M

otio

nal E

MF

Prob

lem

dis

cuss

ion

Prob

lem

dis

cuss

ion.

Pr

oble

m d

iscu

ssio

n

S-8

S

LO-1

El

ectri

c flu

x du

e sh

eet c

harg

e D

ispl

acem

ent c

urre

nt.

Pow

er T

rans

mis

sion

Sh

orte

d lin

e, o

pen

circ

uite

d lin

e Tr

ansm

issi

on L

ines

as

circ

uit E

lem

ents

SLO

-2

Elec

tric

flux

due

coax

ial c

able

M

axw

ell’s

equ

atio

n in

tim

e va

ryin

g fie

ld

Cal

cula

tion

of P

avg

and

Ptot

al

Mat

ched

line

Pr

oble

m d

iscu

ssio

n

S-9

S

LO-1

R

elat

ion

betw

een

E&V

Tim

e va

ryin

g po

tent

ial c

once

pts

Pow

er a

ttenu

atio

n Po

wer

cal

cula

tions

Ad

ditio

nal s

mith

cha

rt pr

oble

m s

olvi

ng.

SLO

-2

Elec

tric

dipo

le a

nd fl

ux li

nes

Tim

e va

ryin

g po

tent

ial d

eriv

atio

n.

Cal

cula

tion

of α

TE a

nd α

TE

Prob

lem

dis

cuss

ion.

Ad

ditio

nal s

mith

cha

rt pr

oble

m s

olvi

ng.

Lea

rnin

g

Res

ou

rces

1.

Mat

thew

N. O

. Sad

iku.

, S. V

. Kul

karn

i, El

emen

ts o

f Ele

ctro

mag

netic

s, 6

th e

d.,

Oxf

ord

Uni

vers

ity P

ress

, 201

5 2.

G

. S. N

. Raj

u, E

lect

rom

agne

tic F

ield

The

ory

and

Tran

smis

sion

Lin

es, P

ears

on E

duca

tion,

200

6 3.

N

anna

pane

ni N

aray

ana

Rao

, Prin

cipl

es o

f Eng

inee

ring

Elec

trom

agne

tics,

6th e

d.,

Pear

son

Educ

atio

n, 2

016

4.

Willi

am H

. Hay

t,Jr.,

Joh

n A.

Buck

., En

gine

erin

g El

ectro

mag

netic

s, 8

th e

d., T

ata

McG

raw

-Hill

2012

5.

Jo

hn D

.Ryd

er, N

etw

orks

, Lin

es a

nd F

ield

s, P

HI,

2009

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. E

swar

an, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

18

Co

urs

e C

od

e 18

EC

C20

1J

Co

urs

e N

ame

AN

ALO

G E

LEC

TR

ON

IC C

IRC

UIT

S

Co

urs

e C

ateg

ory

C

Pr

ofes

sion

al C

ore

L T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18EC

C10

2J

Co

-req

uis

ite

Co

urs

es

18EC

C20

2J

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Und

erst

and

the

oper

atio

n an

d de

sign

of B

JT a

mpl

ifier

circ

uits

for a

giv

en s

peci

ficat

ion

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

oper

atio

n an

d de

sign

of M

OSF

ET a

mpl

ifier

circ

uits

for a

giv

en s

peci

ficat

ion





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Und

erst

and

the

effe

cts

of n

egat

ive

feed

back

on

ampl

ifier

circ

uits

, and

ana

lyze

the

diffe

rent

RC

and

LC

osc

illato

r circ

uits

to

det

erm

ine

the

frequ

ency

of o

scilla

tion

CL

R-4

:

Und

erst

and

the

oper

atio

n an

d de

sign

of v

ario

us ty

pes

of p

ower

am

plifi

er c

ircui

ts.

CL

R-5

:

Und

erst

and

how

mat

ched

tran

sist

or c

hara

cter

istic

s ar

e us

ed in

the

IC d

esig

n an

d to

be

able

to d

esig

n BJ

T an

d M

OSF

ET

curre

nt s

ourc

es.

CL

R-6

:

Gai

n ha

nds-

on e

xper

ienc

e to

put

theo

retic

al c

once

pts

lear

ned

in th

e co

urse

to p

ract

ice.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Anal

yze

and

desi

gn b

ipol

ar a

mpl

ifier

circ

uits

to m

eet c

erta

in s

peci

ficat

ions

, and

to A

naly

ze th

e fre

quen

cy re

spon

se o

f am

plifi

er c

ircui

ts, t

akin

g in

to a

ccou

nt v

ario

us c

ircui

t cap

acito

rs, t

o de

term

ine

the

band

wid

th o

f the

circ

uit.

2,3

70

70

L

M

H

- -

- -

- -

- -

- -

- -

CL

O-2

:

Anal

yze

and

desi

gn M

OSF

ET a

mpl

ifier

circ

uits

to m

eet c

erta

in s

peci

ficat

ions

, and

to A

naly

ze th

e fre

quen

cy re

spon

se o

f am

plifi

er c

ircui

ts, t

akin

g in

to a

ccou

nt v

ario

us c

ircui

t cap

acito

rs, t

o de

term

ine

the

band

wid

th o

f the

circ

uit.

2,3

70

70

L

M

H

- -

- -

- -

- -

- -

- -

CL

O-3

:

Und

erst

and

the

char

acte

ristic

s an

d pr

inci

ples

of f

eedb

ack

ampl

ifier

circ

uits

and

osc

illato

r circ

uits

to a

naly

ze a

nd d

esig

n ci

rcui

ts to

mee

t cer

tain

spe

cific

atio

ns.

2,3

70

70

L

M

H

- -

- -

- -

- -

- -

- -

CL

O-4

:

Anal

yze

thre

e pr

inci

ple

clas

ses

of p

ower

am

plifi

ers,

and

det

erm

ine

the

max

imum

pos

sibl

e co

nver

sion

effi

cien

cy o

f eac

h ty

pe o

f pow

er a

mpl

ifier

2,

3 70

70

L M

H

-

- -

- -

- -

- -

- -

-

CL

O-5

:

Des

ign

the

basi

c ci

rcui

t bui

ldin

g bl

ocks

that

are

use

d in

the

desi

gn o

f IC

am

plifi

ers,

nam

ely

curre

nt m

irror

s an

d so

urce

s 2,

3 70

70

L M

H

-

- -

- -

- -

- -

- -

-

CL

O-6

:

Anal

yze

and

desi

gn a

nalo

g el

ectro

nic

circ

uits

usi

ng d

iscr

ete

com

pone

nts,

and

take

mea

sure

men

t of v

ario

us a

nalo

g ci

rcui

ts

to c

ompa

re e

xper

imen

tal r

esul

ts in

the

labo

rato

ry w

ith th

eore

tical

ana

lysi

s.

3 90

80

- -

H

- M

-

- -

M

- -

M

H

L -

Dur

atio

n (h

our)

B

JT A

mp

lifie

rs

FE

T A

mp

lifie

rs

Fee

db

ack

amp

lifie

s &

Osc

illat

ors

O

scill

ato

rs &

Po

wer

Am

plif

iers

IC

Bia

sin

g &

Am

plif

iers

wit

h A

ctiv

e L

oad

15

15

15

15

15

S-1

S

LO-1

O

verv

iew

of D

C a

naly

sis

of B

JT c

ircui

ts

Ove

rvie

w o

f FET

DC

circ

uit a

naly

sis

Basi

c fe

edba

ck c

once

pts,

gen

eral

fe

edba

ck s

truct

ure

Cry

stal

Osc

illato

rs

BJT

curre

nt s

ourc

es: C

asco

de c

urre

nt

sour

ce, W

idla

r cur

rent

sou

rce

SLO

-2

Ove

rvie

w o

f BJT

mod

els

Prob

lem

sol

ving

Pr

oper

ties

of n

egat

ive

feed

back

Pr

oble

m s

olvi

ng

Mul

ti-tra

nsis

tor c

urre

nt s

ourc

e

Prob

lem

sol

ving

S-2

S

LO-1

AC

load

line

ana

lysi

s G

raph

ical

ana

lysi

s, lo

ad li

nes,

and

sm

all-

sign

al m

odel

s Fe

edba

ck T

opol

ogie

s: V

olta

ge-S

erie

s &

Cur

rent

-Ser

ies

feed

back

con

nect

ions

N

egat

ive-

resi

stan

ce o

scilla

tor

FET

curre

nt s

ourc

es: 2

-tran

sist

or M

OSF

ET

curre

nt s

ourc

e

SLO

-2

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

S-3

S

LO-1

AC

ana

lysi

s of

Com

mon

-Em

itter

BJT

am

plifi

er c

onfig

. usi

ng h

ybrid

-π m

odel

AC

ana

lysi

s of

Com

mon

-Sou

rce

MO

SFET

am

plifi

er c

onfig

urat

ion

Feed

back

Top

olog

ies:

Vol

tage

-Shu

nt &

C

urre

nt-S

hunt

feed

back

con

nect

ions

Po

wer

Am

plifi

ers:

Def

initi

ons

and

ampl

ifier

ty

pes

FET

curre

nt s

ourc

es: C

asco

de c

urre

nt

mirr

or a

nd W

ilson

cur

rent

mirr

or

SLO

-2

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

Q

poi

nt p

lace

men

t Pr

oble

m s

olvi

ng

S

4-5

SLO

-1

Lab

1: L

earn

ing

to d

esig

n am

plifi

er a

nd

osci

llato

r circ

uits

La

b 4:

Des

ign

& an

alyz

e di

ffere

ntia

l am

plifi

er w

ith re

sist

ive

load

La

b 7:

Des

ign

and

anal

yze

RC

osc

illato

rs

Lab

10: B

JT &

FET

Cur

rent

Sou

rces

La

b 13

: Des

ign

and

anal

yze

diffe

rent

ial

ampl

ifier

with

act

ive

load

S

LO-2

S-6

S

LO-1

AC

ana

lysi

s of

Com

mon

-Bas

e BJ

T am

plifi

er c

onfig

urat

ion

usin

g hy

brid

-π

mod

el

AC a

naly

sis

of C

omm

on-G

ate

MO

SFET

am

plifi

er c

onfig

urat

ion

Prac

tical

Fee

dbac

k Am

plifi

er C

ircui

ts

Max

imum

dis

sipa

tion

hype

rbol

a An

alys

is o

f CE

BJT

ampl

ifier

circ

uit w

ith

activ

e lo

ad

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

19

SLO

-2

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

H

eat s

ink

Prob

lem

sol

ving

S-7

S

LO-1

AC

ana

lysi

s of

Com

mon

-Col

lect

or B

JT

ampl

ifier

con

fig. u

sing

hyb

rid-π

mod

el

AC a

naly

sis

of C

omm

on-D

rain

MO

SFET

am

plifi

er c

onfig

urat

ion

Osc

illato

rs: P

rinci

ples

of O

scilla

tion

Cla

ss A

am

plifi

er

Anal

ysis

of C

S FE

T am

plifi

er c

ircui

t with

ac

tive

load

SLO

-2

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Type

s of

Osc

illato

rs

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

S-8

S

LO-1

M

ulti-

stag

e am

plifi

er c

onfig

urat

ions

: CE

- C

E, C

E - C

C a

mpl

ifier

s Bi

FET

ampl

ifier

con

figur

atio

n Au

dio

Freq

uenc

y O

scilla

tors

: RC

Pha

se-

Shift

Osc

illato

r C

lass

B a

nd C

lass

AB

push

-pul

l am

plifi

ers

DC

and

sm

all-s

igna

l ana

lysi

s of

bas

ic B

JT

diffe

rent

ial p

airs

SLO

-2

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

S

9-10

S

LO-1

La

b 2:

Des

ign

and

anal

yze

BJT

ampl

ifier

co

nfig

urat

ions

La

b 5:

Des

ign

and

anal

yze

nega

tive

feed

back

am

plifi

er c

onfig

urat

ions

La

b 8:

Des

ign

and

anal

yze

LC o

scilla

tors

La

b 11

: Des

ign

and

anal

yze

BJT

CE

ampl

ifier

with

act

ive

load

La

b 14

: Mod

el P

ract

ical

Exa

min

atio

n S

LO-2

S-1

1 S

LO-1

M

ulti-

stag

e am

plifi

er c

onfig

urat

ions

: CE

- C

B, a

nd C

C -

CC

am

plifi

ers

Low

Fre

quen

cy re

spon

se a

naly

sis

of a

ba

sic

FET

CS

ampl

ifier

Au

dio

Freq

uenc

y O

scilla

tors

: Wei

n Br

idge

O

scilla

tor

Cla

ss C

am

plifi

ers

DC

and

sm

all-s

igna

l ana

lysi

s of

bas

ic F

ET

diffe

rent

ial p

airs

SLO

-2

Prob

lem

sol

ving

Pr

oble

m S

olvi

ng

Prob

lem

Sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

S-1

2 S

LO-1

Lo

w F

requ

ency

resp

onse

ana

lysi

s of

a

basi

c BJ

T C

E am

plifi

er

Hig

h Fr

eque

ncy

resp

onse

ana

lysi

s of

a

basi

c FE

T C

S am

plifi

er

Rad

io F

requ

ency

Osc

illato

rs: H

artle

y O

scilla

tor

Cla

ss D

and

Cla

ss E

am

plifi

ers

Anal

ysis

of B

JT d

iffer

entia

l am

plifi

er w

ith

activ

e lo

ad

SLO

-2

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Prob

lem

sol

ving

Am

plifi

er d

isto

rtion

s Pr

oble

m s

olvi

ng

S-1

3 S

LO-1

H

igh

Freq

uenc

y re

spon

se a

naly

sis

of a

ba

sic

BJT

CE

ampl

ifier

D

esig

n pr

oble

ms

in M

OSF

ET a

mpl

ifier

co

nfig

urat

ions

R

adio

Fre

quen

cy O

scilla

tors

: Col

pitts

&

Cla

pp O

scilla

tors

IC B

iasi

ng &

Am

plifi

ers

with

Act

ive

Load

: BJ

T cu

rrent

sou

rces

: 2- &

3-tr

ansi

stor

cu

rrent

sou

rces

Anal

ysis

of F

ET d

iffer

entia

l am

plifi

er w

ith

activ

e lo

ad

SLO

-2

Prob

lem

Sol

ving

O

pera

tiona

l vol

tage

leve

ls

Prob

lem

sol

ving

Pr

oble

m s

olvi

ng

Prob

lem

sol

ving

S

14-1

5 S

LO-1

La

b 3:

Des

ign

and

anal

yze

mul

tista

ge

ampl

ifier

con

figur

atio

ns

Lab

6: D

esig

n an

d an

alyz

e M

OSF

ET

ampl

ifier

con

figur

atio

ns

Lab

9: C

lass

es o

f pow

er a

mpl

ifier

(e

ffici

ency

cal

cula

tion)

La

b 12

: Des

ign

and

anal

yze

FET

CS

ampl

ifier

with

act

ive

load

La

b 15

: End

Sem

este

r Pra

ctic

al

Exam

inat

ion

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

Dav

id A

. Bel

l, El

ectro

nic

Dev

ices

and

Circ

uits

, 5th

ed.

, Oxf

ord

Uni

vers

ity P

ress

, 201

5 2.

D

onal

d N

eam

en, E

lect

roni

c C

ircui

ts: A

naly

sis

and

Des

ign,

3rd

ed.

, McG

raw

-Hill

Educ

atio

n, 2

011

3.

Muh

amm

ad R

ashi

d, M

icro

elec

troni

c C

ircui

ts: A

naly

sis

& D

esig

n, 2

nd e

d., C

enga

ge L

earn

ing,

201

0 4.

Ad

el S

. Sed

ra, K

enne

th C

. Sm

ith, M

icro

elec

troni

c C

ircui

ts: T

heor

y an

d Ap

plic

atio

ns, O

UP,

201

4

5.

Rob

ert L

. Boy

lest

ad, L

ouis

Nas

hels

ky, E

lect

roni

c D

evic

es a

nd C

ircui

t The

ory,

11th

ed.

, Pea

rson

Ed

ucat

ion,

201

3 6.

Al

bert

P. M

alvi

no, D

avid

J. B

ates

, Ele

ctro

nic

Prin

cipl

es, 8

th e

d., T

ata

McG

raw

Hill,

201

5

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

r. L

evel

1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Mr.

Man

ikan

dan

AVM

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

M. S

ange

etha

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

20

Co

urs

e C

od

e 18

EC

C20

2J

Co

urs

e N

ame

LIN

EA

R IN

TE

GR

AT

ED

CIR

CU

ITS

C

ou

rse

Cat

ego

ry

C

Prof

essi

onal

Cor

e L

T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18EC

C10

2J

Co

-req

uis

ite

Co

urs

es

18EC

C20

1J

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Stud

y th

e ba

sic

prin

cipl

es, c

onfig

urat

ions

and

pra

ctic

al li

mita

tions

of o

p-am

p

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

vario

us li

near

and

non

-line

ar a

pplic

atio

ns o

f op-

amp





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Und

erst

and

the

oper

atio

n an

d an

alys

is o

f op-

amp

osci

llato

rs, s

ingl

e ch

ip o

scilla

tors

and

freq

uenc

y ge

nera

tors

CL

R-4

:

Iden

tify

the

activ

e fil

ter t

ypes

, filt

er re

spon

se c

hara

cter

istic

s, fi

lter p

aram

eter

s an

d IC

vol

tage

regu

lato

rs.

CL

R-5

:

Gai

n kn

owle

dge

on d

ata

conv

erte

r ter

min

olog

y, it

s pe

rform

ance

par

amet

ers,

and

var

ious

circ

uit a

rrang

emen

ts fo

r A/D

an

d D

/A c

onve

rsio

ns.

CL

R-6

:

Gai

n ha

nds-

on e

xper

ienc

e to

put

theo

retic

al c

once

pts

lear

ned

in th

e co

urse

to p

ract

ice.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Infe

r the

DC

and

AC

cha

ract

eris

tics

of o

pera

tiona

l am

plifi

ers

and

its e

ffect

on

outp

ut a

nd th

eir c

ompe

nsat

ion

tech

niqu

es

3 80

70

H

M

- -

- -

- -

- -

- -

- -

- C

LO

-2 :

El

ucid

ate

and

desi

gn th

e lin

ear a

nd n

on-li

near

app

licat

ions

of a

n op

amp

and

spec

ial a

pplic

atio

n IC

s 3

85

75

-

M

H

- -

- -

- -

- -

- -

- -

CL

O-3

:

Expl

ain

and

com

pare

the

wor

king

of m

ultiv

ibra

tors

usi

ng s

peci

al a

pplic

atio

n IC

555

and

gen

eral

pur

pose

opa

mp

3 75

70

- M

H

-

- -

- -

- -

- -

- -

- C

LO

-4 :

C

lass

ify a

nd c

ompr

ehen

d th

e w

orki

ng p

rinci

ple

of d

ata

conv

erte

rs a

nd a

ctiv

e fil

ters

3

85

80

-

M

H

- -

- -

- -

- -

- -

- -

CL

O-5

:

Illus

trate

the

func

tion

of a

pplic

atio

n sp

ecifi

c IC

s su

ch a

s Vo

ltage

regu

lato

rs, P

LL a

nd it

s ap

plic

atio

n in

com

mun

icat

ion

3 85

75

- M

H

-

- -

- -

- -

- -

M

- H

CL

O-6

:

Anal

yze

and

desi

gn e

lect

roni

c ci

rcui

ts a

nd s

yste

ms

usin

g lin

ear I

Cs,

and

take

mea

sure

men

t of v

ario

us a

nalo

g ci

rcui

ts to

co

mpa

re e

xper

imen

tal r

esul

ts in

the

labo

rato

ry w

ith th

eore

tical

ana

lysi

s 3

85

75

-

M

H

- M

-

- -

M

- -

- H

L

- D

urat

ion

(hou

r)

15

15

15

15

15

S-1

S

LO-1

O

p-am

p sy

mbo

l, te

rmin

als,

pac

kage

s

Basi

c op

-am

p ci

rcui

ts: I

nver

ting

& N

on-

inve

rting

vol

tage

am

plifi

ers

Wav

efor

m G

ener

ator

s: S

ine-

wav

e G

ener

ator

s - D

esig

n Fi

lters

: Com

paris

on b

etw

een

Pass

ive

and

Activ

e N

etw

orks

D

igita

l to

Anal

og C

onve

rsio

n: D

AC

Spec

ifica

tions

SLO

-2

Op-

amp-

Spec

ifica

tions

Vo

ltage

follo

wer

Im

plem

enta

tion

& S

olvi

ng p

robl

ems

Activ

e N

etw

ork

Des

ign

Solv

ing

prob

lem

s

S-2

S

LO-1

Bl

ock

diag

ram

Rep

rese

ntat

ion

of o

p-am

p

Sum

min

g, s

calin

g &

aver

agin

g am

plifi

ers,

Sq

uare

Wav

e ge

nera

tors

- Des

ign

Filte

r App

roxi

mat

ions

W

eigh

ted

Res

isto

r DAC

SLO

-2

Idea

l op-

amp

& pr

actic

al o

p-am

p - O

pen

loop

& c

lose

d lo

op c

onfig

urat

ions

AC

am

plifi

ers

Impl

emen

tatio

n &

Solv

ing

prob

lem

s D

esig

n of

LPF

& S

olvi

ng p

robl

ems

Solv

ing

prob

lem

s

S-3

S

LO-1

D

C p

erfo

rman

ce c

hara

cter

istic

s of

op-

amp

Line

ar A

pplic

atio

ns: I

nstru

men

tatio

n Am

plifi

ers

Tria

ngle

wav

e ge

nera

tors

D

esig

n of

HPF

& S

olvi

ng p

robl

ems

R-2

R L

adde

r DAC

SLO

-2

Solv

ing

Prob

lem

s In

stru

men

tatio

n Am

plifi

ers,

Sol

ving

Pr

oble

ms

Saw

-toot

h W

ave

gene

rato

rs.

Des

ign

of B

PF&

Solv

ing

prob

lem

s So

lvin

g pr

oble

ms

S

4-5

SLO

-1

Lab-

1:Ba

sic

op-a

mp

circ

uits

La

b 4:

Com

para

tors

La

b 7:

Wav

efor

m g

ener

ator

s: u

sing

op-

amp

& 55

5 Ti

mer

La

b 10

: Des

ign

of L

PF, H

PF, B

PF a

nd

Band

Rej

ect F

ilter

s La

b 13

: Fla

sh T

ype

ADC

S

LO-2

S-6

S

LO-1

AC

per

form

ance

cha

ract

eris

tics

of o

p-am

p V-

to-I

Con

verte

rs

IC 5

55 T

imer

: C

ircui

t sch

emat

ic

Des

ign

of B

and

Rej

ect F

ilter

s

Inve

rted

R-2

R L

adde

r DAC

SLO

-2

Solv

ing

Prob

lem

s I-t

o-V

conv

erte

rs

Ope

ratio

n an

d its

app

licat

ions

So

lvin

g pr

oble

ms

Mon

olith

ic D

AC

S-7

S

LO-1

Fr

eque

ncy

resp

onse

D

iffer

entia

tors

IC

555

Tim

er: M

onos

tabl

e op

erat

ion

St

ate

Varia

ble

Filte

rs –

All

Pass

Filt

ers,

An

alog

to D

igita

l con

vers

ion:

AD

C

spec

ifica

tions

SLO

-2

Freq

uenc

y re

spon

se

Inte

grat

ors

Appl

icat

ions

& S

olvi

ng p

robl

ems

Solv

ing

prob

lem

s So

lvin

g pr

oble

ms

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

21

S-8

S

LO-1

Fr

eque

ncy

com

pens

atio

n N

on-li

near

App

licat

ions

: Pre

cisi

on

Rec

tifie

rs

IC 5

55 T

imer

: Ast

able

ope

ratio

n

Switc

hed

Cap

acito

r Filt

ers.

R

amp

Type

AD

C

SLO

-2

Freq

uenc

y co

mpe

nsat

ion

Wav

e Sh

apin

g C

ircui

ts (C

lippe

r and

C

lam

pers

) Ap

plic

atio

ns &

Sol

ving

pro

blem

s So

lvin

g pr

oble

ms

Solv

ing

prob

lem

s

S

9-10

S

LO-1

La

b 2:

Inte

grat

ors

and

Diff

eren

tiato

rs

Lab

5: W

ave

shap

ing

circ

uits

La

b 8:

Wav

efor

m g

ener

ator

s: u

sing

op-

amp

& 55

5 Ti

mer

La

b 11

: IC

Vol

tage

regu

lato

rs

Lab

14: S

imul

atio

n ex

perim

ents

usi

ng E

DA

tool

s S

LO-2

S-1

1 S

LO-1

Ba

sic

op-a

mp

inte

rnal

sch

emat

ic

Log

and

Antil

og A

mpl

ifier

s,

PLL:

Ope

ratio

n of

the

Basi

c PL

L Vo

ltage

Reg

ulat

ors:

Bas

ics

of V

olta

ge

Reg

ulat

or

Succ

essi

ve A

ppro

xim

atio

n AD

C

SLO

-2

oper

atio

ns o

f blo

cks

Anal

og v

olta

ge m

ultip

lier c

ircui

t and

its

appl

icat

ions

, C

lose

d lo

op a

naly

sis

of P

LL

Spec

ifica

tions

and

cha

ract

eris

tic

para

met

ers

Solv

ing

prob

lem

s

S-1

2 S

LO-1

Ba

sic

op-a

mp

inte

rnal

sch

emat

ic

Ope

ratio

nal T

rans

-Con

duct

ance

Am

plifi

er

(OTA

) Vo

ltage

Con

trolle

d O

scilla

tor

Line

ar V

olta

ge R

egul

ator

s us

ing

Op-

amp,

D

ual S

lope

AD

C

SLO

-2

oper

atio

ns o

f blo

cks

Com

para

tors

: op

erat

ion

Solv

ing

prob

lem

s IC

Reg

ulat

ors

(78x

x, 7

9xx,

LM

317

, LM

33

7, 7

23),

Flas

h Ty

pe A

DC

,

S-1

3 S

LO-1

R

evie

w o

f dat

a sh

eet o

f an

op-a

mp.

C

ompa

rato

rs a

pplic

atio

ns

PLL

appl

icat

ions

Sw

itchi

ng R

egul

ator

s -o

pera

tion

Solv

ing

prob

lem

s on

Fla

sh T

ype

ADC

,

SLO

-2

Solv

ing

Prob

lem

s Sa

mpl

e an

d H

old

circ

uit.

Solv

ing

prob

lem

s Ty

pes

Mon

olith

ic A

DC

S

14-1

5 S

LO-1

La

b 3:

Rec

tifie

rs

Lab

6: W

avef

orm

gen

erat

ors:

usi

ng o

p-am

p &

555

Tim

er

Lab

9: D

esig

n of

LPF

, HPF

, BPF

and

Ban

d R

ejec

t Filt

ers

Lab

12: R

-2R

ladd

er D

AC

Lab

15: S

imul

atio

n ex

perim

ents

usi

ng E

DA

tool

s S

LO-2

L

earn

ing

R

eso

urc

es

1.

Ram

akan

t A. G

ayak

wad

, Op-

Amps

and

Lin

ear I

nteg

rate

d C

ircui

ts, 4

th e

d., P

rent

ice

Hal

l, 20

00

2.

Dav

id A

. Bel

l, O

pera

tiona

l Am

plifi

ers

and

Line

ar IC

s, 3

rd e

d., O

UP,

201

3 3.

R

oy C

houd

hury

, Sha

il Ja

in, L

inea

r Int

egra

ted

Circ

uits

, 4th

ed.

, New

Age

Inte

rnat

iona

l Pub

lishe

rs, 2

014

4.

Rob

ert F

. Cou

ghlin

, Fre

deric

k F.

Dris

coll,

Ope

ratio

nal-A

mpl

ifier

s an

d Li

near

Inte

grat

ed C

ircui

ts, 6

th e

d.,

Pren

tice

Hal

l, 20

01

5.

Serg

io F

ranc

o, D

esig

n w

ith o

pera

tiona

l am

plifi

er a

nd a

nalo

g in

tegr

ated

circ

uits

, McG

raw

Hill,

199

7

6.

LABO

RAT

OR

Y M

ANU

AL, D

epar

tmen

t of E

CE,

SR

M U

nive

rsity

7.

D

avid

A B

ell,

Labo

rato

ry M

anua

l for

Ope

ratio

nal A

mpl

ifier

s &

Line

ar IC

s, 2

nd e

d., D

.A. B

ell,

2001

8.

D

avid

La

Lond

, Exp

erim

ents

in P

rinci

ples

of E

lect

roni

c D

evic

es a

nd C

ircui

ts, D

elm

ar P

ublis

hers

, 199

3 9.

M

uham

med

H R

ashi

d, In

trodu

ctio

n to

PSp

ice

usin

g O

rCAD

for c

ircui

ts a

nd e

lect

roni

cs, 3

rd e

d., P

ears

on,

2004

10

. L.

K. M

ahes

hwar

i, M

. M. S

. Ana

nd, L

abor

ator

y Ex

perim

ents

and

PSP

ICE

Sim

ulat

ions

in A

nalo

g El

ectro

nics

, PH

I, 20

06

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Mr.

Man

ikan

dan

AVM

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

M. S

ange

etha

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

22

Co

urs

e C

od

e 18

EC

C20

3J

Co

urs

e N

ame

Mic

ropr

oces

sor,

Mic

roco

ntro

ller

and

Inte

rfac

ing

Tec

hniq

ues

Co

urs

e C

ateg

ory

C

Pr

ofes

sion

al C

ore

L T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18E

CC

103J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

E204

J, 1

8EC

E205

J

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Und

erst

and

basi

c ar

chite

ctur

e of

Inte

l 808

6 m

icro

proc

esso

r and

Inte

l 805

1 M

icro

cont

rolle

r

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Fam

iliariz

e th

e st

uden

ts w

ith th

e pr

ogra

mm

ing

and

inte

rfaci

ng o

f mic

ropr

oces

sors

and

mic

roco

ntro

llers

with

mem

ory

and

perip

hera

l chi

ps





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Inte

rface

a m

icro

proc

esso

r / m

icro

cont

rolle

r to

exte

rnal

I/O

dev

ices

and

per

form

I/O

dev

ice

prog

ram

min

g in

ass

embl

y

CL

R-4

:

Use

the

com

pute

r to

writ

e an

d as

sem

ble

ALPs

and

als

o ru

n th

em b

y do

wnl

oadi

ng th

em to

the

targ

et m

icro

proc

esso

r

CL

R-5

:

Und

erst

and

the

hard

war

e / s

oftw

are

inte

rrupt

s an

d th

eir a

pplic

atio

ns, a

nd a

s w

ell

the

seria

l por

t pro

gram

min

g

CL

R-6

:

Prov

ide

stro

ng fo

unda

tion

for d

esig

ning

real

wor

ld a

pplic

atio

ns u

sing

mic

ropr

oces

sors

and

mic

roco

ntro

llers

.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Appl

y a

basi

c co

ncep

t of d

igita

l fun

dam

enta

ls to

Mic

ropr

oces

sor b

ased

per

sona

l com

pute

r sys

tem

1

60

70

-

H

- -

L -

- -

- -

-

- -

- C

LO

-2 :

So

lve

basi

c bi

nary

mat

h op

erat

ions

usi

ng th

e m

icro

proc

esso

r. / m

icro

cont

rolle

r 2

60

70

M

-

- -

-

- -

- -

- M

-

- -

CL

O-3

:

Dem

onst

rate

pro

gram

min

g pr

ofic

ienc

y us

ing

the

vario

us a

ddre

ssin

g m

odes

of t

he ta

rget

mic

ropr

oces

sor /

mic

roco

ntro

ller

3 60

70

- M

H

-

H

- -

- -

- -

-

- L

CL

O-4

:

Dis

tingu

ish

and

anal

yze

the

prop

ertie

s of

Mic

ropr

oces

sors

& M

icro

cont

rolle

rs.

1 60

70

- M

-

-

- -

- -

- -

H

- -

- C

LO

-5 :

Ill

ustra

te th

eir p

ract

ical

kno

wle

dge

thro

ugh

labo

rato

ry e

xper

imen

ts.

3 60

70

- M

M

-

H

- -

- -

H

-

- -

H

CL

O-6

:

Des

ign,

inte

rface

and

pro

gram

mem

ory

chip

s an

d va

rious

per

iphe

ral c

hips

with

mic

ropr

oces

sor /

mic

roco

ntro

ller

3 60

70

- -

M

- H

-

- -

-

- H

L

- M

L

earn

ing

Un

it /

Mo

du

le 1

:

Inte

l 808

6 –

Arc

hit

ectu

re, S

ign

als

and

F

eatu

res

Lea

rnin

g U

nit

/ M

od

ule

2:

P

rog

ram

min

g w

ith

Inte

l 808

6

Lea

rnin

g U

nit

/ M

od

ule

3:

80

86 In

terf

acin

g w

ith

Mem

ory

an

d

Pro

gra

mm

able

Dev

ices

Lea

rnin

g U

nit

/ M

od

ule

4:

In

tel 8

051

– A

rch

itec

ture

an

d

Pro

gra

mm

ing

Lea

rnin

g U

nit

/ M

od

ule

5:

In

terf

acin

g o

f 80

51

Du

rati

on

(h

ou

r)

15

15

15

15

15

S-1

SL

O-1

In

trodu

ctio

n: H

isto

ry o

f com

pute

rs, B

lock

di

agra

m o

f a m

icro

com

pute

r Ad

dres

sing

mod

es o

f 808

6 Se

mic

ondu

ctor

mem

ory

inte

rfaci

ng

Intro

duct

ion:

Diff

eren

ces

betw

een

mic

ropr

oces

sor a

nd m

icro

cont

rolle

r 80

51 p

aral

lel p

orts

, and

SL

O-2

In

tel 8

0x86

evo

lutio

ns

D

ynam

ic R

AM in

terfa

cing

In

tel’s

fam

ily o

f 8-b

it m

icro

cont

rolle

rs, a

nd

feat

ure

of 8

051

mic

roco

ntro

ller

its p

rogr

amm

ing

S-2

SL

O-1

Fe

atur

es o

f 808

6 m

icro

proc

esso

r In

stru

ctio

n Se

t of 8

086:

Dat

a Tr

ansf

er

Inst

ruct

ions

Pr

ogra

mm

able

Per

iphe

ral I

nter

face

825

5 Ar

chite

ctur

e of

805

1 80

51 ti

mer

s, a

nd

SL

O-2

R

egis

ter o

rgan

izat

ion

of 8

086

Exam

ple

prog

ram

s In

terfa

cing

825

5 w

ith 8

086

and

prog

ram

min

g Ar

chite

ctur

e of

805

1 its

pro

gram

min

g

S-3

SL

O-1

Ar

chite

ctur

e of

808

6 D

ata

Con

vers

ion

Inst

ruct

ions

, Arit

hmet

ic

Inst

ruct

ions

In

terfa

cing

AD

C w

ith 8

086

and

prog

ram

min

g Si

gnal

des

crip

tions

of 8

051

8051

inte

rrupt

s, a

nd

SL

O-2

Ar

chite

ctur

e of

808

6 Ex

ampl

e pr

ogra

ms

Inte

rfaci

ng D

AC w

ith 8

086

and

prog

ram

min

g Si

gnal

des

crip

tions

of 8

051

its p

rogr

amm

ing

S-4,

5

SL

O-1

L

ab-1

: (a

) L

earn

ing

to

Pro

gra

m w

ith

80

86 p

roce

sso

r ki

t; L

earn

ing

th

e h

ard

war

e fe

atu

res

of

the

8086

p

roce

sso

r ki

t

Lab

-4:

Gen

eral

Pu

rpo

se P

rog

ram

min

g

in 8

086

Lab

-7:

Inte

rfac

ing

DA

C /

AD

C w

ith

808

6 / 8

051

Lab

-10:

Pro

gra

mm

ing

tim

er /

cou

nte

r in

80

86 /

8051

L

ab-1

3: S

imu

lati

on

of

8051

usi

ng

Kei

l S

oft

war

e S

LO

-2

S-6

SL

O-1

In

stru

ctio

n qu

eue

and

pipe

linin

g Lo

gica

l ins

truct

ions

and

Pro

cess

or c

ontro

l in

stru

ctio

ns

Step

per M

otor

inte

rfaci

ng –

con

cept

R

egis

ter s

et o

f 805

1 80

51 s

eria

l por

t, an

d

SL

O-2

Se

gmen

tatio

n of

mem

ory

used

with

808

6 Ex

ampl

e pr

ogra

ms

Exam

ple

prog

ram

s O

pera

tiona

l fea

ture

s of

805

1 its

pro

gram

min

g

S-7

SL

O-1

M

etho

ds o

f gen

erat

ing

phys

ical

add

ress

in

8086

St

ring

inst

ruct

ions

Pr

ogra

mm

able

Inte

rval

Tim

er 8

254

Mem

ory

and

I/O a

ddre

ssin

g by

805

1 In

terfa

cing

pro

gram

mem

ory

with

808

6

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

23

SL

O-2

Pi

n si

gnal

s of

808

6: C

omm

on s

igna

ls

Exam

ple

prog

ram

s In

terfa

cing

825

4 w

ith 8

086

and

prog

ram

min

g In

terru

pts

and

Stac

k of

805

1 In

terfa

cing

dat

a m

emor

y w

ith 8

086

S-8

SL

O-1

M

inim

um m

ode

sign

als

Bran

ch In

stru

ctio

ns

Prog

ram

mab

le In

terru

pt C

ontro

ller 8

259

Addr

essi

ng m

odes

of 8

051

Inte

rfaci

ng in

put d

evic

es: p

ush-

butto

n /

mat

rix k

eypa

d

SL

O-2

M

axim

um m

ode

sign

als

Exam

ple

prog

ram

s In

terfa

cing

825

9 w

ith 8

086

and

prog

ram

min

g Ex

ampl

e pr

ogra

ms

Exam

ple

prog

ram

s

S-9,

10

SL

O-1

La

b-2:

Gen

eral

Pur

pose

Pro

gram

ing

in

8086

La

b-5:

Sim

ula

tio

n o

f 80

86 u

sin

g M

AS

M

So

ftw

are

/ 808

6 E

mu

lato

r L

ab-8

: In

terf

acin

g D

C m

oto

r / s

tep

per

m

oto

r / s

ervo

mo

tor

wit

h 8

086

/ 805

1 L

ab-1

1: P

rog

ram

min

g in

terr

up

ts in

80

86 /

805

1 L

ab-1

4: M

od

el P

ract

ical

Exa

m

SL

O-2

S-11

SL

O-1

M

inim

um m

ode

8086

sys

tem

, and

As

sem

bly

Lang

uage

Pro

gram

min

g of

80

86

Prog

ram

mab

le K

eybo

ard

/ Dis

play

C

ontro

ller 8

279

8051

Inst

ruct

ion

Set:

Arith

met

ic a

nd

Logi

cal I

nstru

ctio

ns

Inte

rfaci

ng d

ispl

ay d

evic

es: L

ED /

7-se

gmen

t / L

CD

dis

play

s

SLO

-2

Tim

ings

As

sem

bly

Lang

uage

Pro

gram

min

g of

80

86

Inte

rfaci

ng 8

279

with

808

6 an

d pr

ogra

mm

ing

Exam

ple

Prog

ram

s Ex

ampl

e pr

ogra

ms

S-12

SL

O-1

M

axim

um m

ode

8086

sys

tem

, and

St

ack

stru

ctur

e, a

nd

Prog

ram

mab

le C

omm

unic

atio

n In

terfa

ce

8251

USA

RT

Dat

a Tr

ansf

er In

stru

ctio

ns

Inte

rfaci

ng D

AC

SLO

-2

Tim

ings

re

late

d pr

ogra

mm

ing

Inte

rfaci

ng 8

251

with

808

6 an

d pr

ogra

mm

ing

Exam

ple

Prog

ram

s In

terfa

cing

AD

C

S-13

SL

O-1

In

tel 8

088

Mic

ropr

oces

sor:

Pins

sig

nals

an

d Ar

chite

ctur

e In

terru

pt s

truct

ure,

and

D

MA

Con

trolle

r 825

7 Bo

olea

n Va

riabl

e In

stru

ctio

ns a

nd B

ranc

h In

stru

ctio

ns

Inte

rfaci

ng D

C m

otor

/ st

eppe

r mot

or /

serv

o m

otor

SLO

-2

Diff

eren

ces

betw

een

8086

& 8

088

mic

ropr

oces

sors

re

late

d pr

ogra

mm

ing

Inte

rfaci

ng 8

257

with

808

6 an

d pr

ogra

mm

ing

Exam

ple

Prog

ram

s Ex

ampl

e pr

ogra

ms

S-14

,15

SLO

-1

Lab

-3:

Gen

eral

Pur

pose

Pro

gram

ing

in

8086

L

ab-6

: In

terf

acin

g 8

255

wit

h 8

086

/ 805

1 L

ab-9

: G

ener

al P

urp

ose

Pro

gra

mm

ing

in

805

1 L

ab-1

0: P

rog

ram

min

g s

eria

l co

mm

un

icat

ion

in 8

086

/ 805

1 L

ab-1

5: E

nd

-Sem

este

r E

xam

SL

O-2

L

earn

ing

R

eso

urc

es

1.

K. M

. Bhu

rcha

ndi a

nd A

. K. R

ay, "

Adva

nced

Mic

ropr

oces

sors

and

Per

iphe

rals

-with

AR

M a

nd

an In

trodu

ctio

n to

Mic

roco

ntro

llers

and

Inte

rfaci

ng ",

Tat

a M

cGra

w H

ill, 3

rd e

ditio

n 20

15

2.

Muh

amm

adAl

i Maz

idi a

nd J

anic

e G

illisp

ieM

azid

i, "T

he 8

051

- Mic

roco

ntro

ller a

nd E

mbe

dded

sy

stem

s", 7

th E

ditio

n, P

ears

on E

duca

tion,

201

1.

3.

Dou

ghla

s.V.

Hal

l, “M

icro

proc

esso

r and

Inte

rfaci

ng :

Prog

ram

min

g an

d H

ardw

are”

, 3rd

ed

ition

, McG

raw

Hill,

201

5

4.

Kenn

eth.

J.Ay

ala,

“805

1 M

icro

cont

rolle

r Arc

hite

ctur

e, P

rogr

amm

ing

and

Appl

icat

ions

”, 3r

d ed

ition

, Tho

mso

n,

2007

5.

Su

brat

agho

shal

“ 80

51 M

icro

cont

rolle

r Int

erna

ls In

stru

ctio

ns ,P

rogr

amm

ing

And

Inte

rfaci

ng”,2

nd e

ditio

n Pe

arso

n 20

10

6.

Yu-c

heng

Liu

, Gle

nn A

.Gib

son,

“Mic

roco

mpu

ter s

yste

ms:

The

808

6/80

88 fa

mily

-Arc

hite

ctur

e,pr

ogra

mm

ing

and

desi

gn”,2

nd e

ditio

n, P

rent

ice

Hal

l of I

ndia

,200

7 L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Mr.

Man

ikan

dan

AVM

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

24

Co

urs

e C

od

e 18

EC

C20

4J

Co

urs

e N

ame

DIG

ITA

L S

IGN

AL

PR

OC

ES

SIN

G

Co

urs

e C

ateg

ory

C

Pr

ofes

sion

al C

ore

L T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18E

CC

104T

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

E243

J, 1

8EC

E244

J, 1

8EC

E245

T

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Und

erst

and

the

oper

atio

ns in

volv

ed in

dig

ital c

onve

rsio

n of

ana

log

sign

als.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Rea

lize

a di

gita

l filt

er in

dire

ct, c

asca

de a

nd p

aral

lel f

orm

s.

Perfo

rm e

ffici

ent c

ompu

tatio

n of

DFT

usi

ng ra

dix

2 FF

T





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Des

ign

digi

tal F

IR fi

lter u

sing

win

dow

ing

tech

niqu

e an

d fre

quen

cy s

ampl

ing

met

hods

.

C

LR

-4 :

D

esig

n IIR

filte

rs u

sing

bot

h di

rect

met

hod

and

met

hod

invo

lvin

g co

nver

sion

of a

nalo

g fil

ter t

o di

gita

l filt

er

CL

R-5

:

Und

erst

and

sam

plin

g ra

te c

onve

rsio

n an

d ap

ply

it fo

r app

licat

ions

like

QM

F, s

ub b

and

codi

ng.

CL

R-6

:

Util

ize

the

tech

niqu

es fo

r dig

ital c

onve

rsio

ns, f

ilter

des

igns

and

mul

ti ra

te s

igna

l pro

cess

ing

to s

olve

real

tim

e pr

oble

ms

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Det

erm

ine

the

know

ledg

e of

sam

plin

g an

d qu

antiz

atio

n an

d un

ders

tand

the

erro

rs th

at a

rise

due

to q

uant

izat

ion.

1

80

70

H

-

- -

- -

- -

- -

- -

- -

- C

LO

-2 :

U

nder

stan

d th

e co

ncep

t of D

FT a

nd it

s ef

ficie

nt c

ompu

tatio

n by

usi

ng F

FT a

lgor

ithm

. 1

75

70

-

M

- -

- -

- -

- -

- -

- -

C

LO

-3 :

D

esig

n FI

R fi

lters

usi

ng s

ever

al m

etho

ds

3 75

70

- M

H

-

- -

- -

- -

- -

- -

H

CL

O-4

:

Des

ign

IIR fi

lters

usi

ng s

ever

al m

etho

ds

3 75

70

-

H

- -

- -

- -

- -

- -

- H

C

LO

-5 :

D

iscu

ss t

he b

asic

s of

mul

tirat

e D

SP a

nd it

s ap

plic

atio

ns.

1 70

70

- M

-

- -

- -

- -

- -

- -

- -

CL

O-6

:

Appl

y th

e co

ncep

ts o

f dig

ital f

ilter

des

igns

and

mul

ti ra

te s

igna

l pro

cess

ing

for r

eal t

ime

sign

als

2 70

70

- M

-

- -

- -

- -

- -

- M

-

-

L

earn

ing

Un

it /

Mo

du

le 1

:

Sig

nal

s an

d W

avef

orm

s L

earn

ing

Un

it /

Mo

du

le 2

:

Fre

qu

ency

Tra

nsf

orm

atio

ns

Lea

rnin

g U

nit

/ M

od

ule

3:

F

IR F

ilter

s L

earn

ing

Un

it /

Mo

du

le 4

:

IIR F

ilter

s L

earn

ing

Un

it /

Mo

du

le 5

:

Mu

ltir

ate

sig

nal

Pro

cess

ing

Dur

atio

n (h

our)

15

15

15

15

15

S-1

SLO

-1

Basi

c El

emen

ts o

f DSP

R

ealiz

atio

n of

dig

ital f

ilter

s D

irect

form

of

real

izat

ion

Des

ign

of L

inea

r Pha

se F

IR fi

lters

G

ener

al c

onsi

dera

tion

Des

ign

of d

igita

l IIR

filte

rs

Com

paris

on o

f FIR

and

IIR

filte

rs

Intro

duct

ion

to M

ultir

ate

sign

al p

roce

ssin

g

SLO

-2

Adva

ntag

es a

nd a

pplic

atio

ns o

f DSP

C

asca

de fo

rm o

f rea

lizat

ion

Cau

salit

y an

d its

impl

icat

ion

Cha

ract

eris

tics

of p

ract

ical

freq

uenc

y se

lect

ive

filte

rs

Anal

og II

R fi

lter d

esig

n D

ecim

atio

n

S-2

SLO

-1

Con

tinuo

us T

ime

vs D

iscr

ete

time

sign

als

Para

llel f

orm

of r

ealiz

atio

n Fr

eque

ncy

resp

onse

of s

ymm

etric

FIR

fil

ter

Prop

ertie

s of

But

terw

orth

filte

rs

Inte

rpol

atio

n

SLO

-2

Con

tinuo

us v

alue

d vs

dis

cret

e va

lued

si

gnal

s In

trodu

ctio

n to

DFT

N

is o

dd

Prop

ertie

s of

che

bysh

ev fi

lters

C

ompa

rison

of B

utte

rwor

th a

nd

cheb

yshe

v fil

ters

Sp

ectru

m o

f int

erpo

late

d si

gnal

S-3

SLO

-1

Con

cept

s of

freq

uenc

y in

ana

log

sign

als

Com

puta

tion

of D

FT

Freq

uenc

y re

spon

se o

f sym

met

ric F

IR

filte

r An

alog

IIR

filte

r des

ign

Sam

plin

g ra

te c

onve

rsio

n by

a ra

tiona

l fa

ctor

I/D

SLO

-2

Con

tinuo

us a

nd d

iscr

ete

time

sinu

soid

al

sign

als

Prop

ertie

s of

DFT

Per

iodi

city

, lin

earit

y an

d sy

mm

etry

pro

perti

es

N is

eve

n D

esig

n of

low

pas

s Bu

tterw

orth

filte

r An

ti-al

iasi

ng a

nd a

nti-i

mag

ing

filte

rs

S-4

SLO

-1

Lab

1 :

Gen

erat

ion

of

bas

ic s

ign

als

Lab

7:

Lin

ear

con

volu

tio

n

Lab

13:

Des

ign

of

dig

ital

FIR

Lo

w P

ass

and

Hig

h P

ass

filt

er u

sin

g r

ecta

ng

ula

r w

ind

ow

Lab

19:

Des

ign

of

anal

og

Bu

tter

wo

rth

fi

lter

L

ab 2

5: In

terp

ola

tio

n

SLO

-2

S-5

SLO

-1

Lab

2:

Un

it s

tep

, ram

p a

nd

imp

uls

e L

ab 8

: C

ircu

lar

con

volu

tio

n

Lab

14:

Des

ign

of

dig

ital

FIR

Ban

d P

ass

and

Ban

d S

top

filt

er u

sin

g r

ecta

ng

ula

r w

ind

ow

Lab

20:

Des

ign

of

anal

og

Ch

ebys

hev

fi

lter

L

ab 2

6: E

ffec

t o

f in

terp

ola

tio

n in

fr

equ

ency

do

mai

n

SLO

-2

S-6

SLO

-1

Sam

plin

g of

ana

log

sign

als

Sam

plin

g th

eore

m

Circ

ular

con

volu

tion

Freq

uenc

y re

spon

se o

f ant

isym

met

ric F

IR

filte

r An

alog

IIR

filte

r des

ign

Po

lyph

ase

stru

ctur

e of

dec

imat

or

Poly

phas

e de

cim

atio

n us

ing

z tra

nsfo

rm

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

25

SLO

-2

Alia

sing

Qua

ntiz

atio

n of

con

tinuo

us

ampl

itude

sig

nals

M

atrix

met

hod

and

conc

entri

c ci

rcle

m

etho

d N

is o

dd a

nd N

is e

ven

Des

ign

of lo

w p

ass

Che

bysh

ev f

ilter

Po

lyph

ase

stru

ctur

e of

inte

rpol

ator

Po

lyph

ase

inte

rpol

atio

n us

ing

z tra

nsfo

rm

S-7

SLO

-1

Anal

og to

dig

ital c

onve

rsio

n Sa

mpl

e an

d ho

ld,

Effic

ient

Com

puta

tion

of th

e D

FT

Des

ign

of F

IR fi

lters

Fou

rier s

erie

s m

etho

d D

esig

n of

dig

ital f

ilter

s Im

puls

e in

varia

nce

met

hod

Adva

ntag

es o

f mul

tirat

e D

SP

SLO

-2

Qua

ntiz

atio

n an

d co

ding

D

ivid

e an

d C

onqu

er A

ppro

ach

to

Com

puta

tion

of t

he D

FT U

sing

FFT

Nee

d fo

r filt

er d

esig

n us

ing

win

dow

C

ompa

rison

of v

ario

us w

indo

win

g te

chni

ques

Des

ign

of d

igita

l filt

ers

Bilin

ear

trans

form

atio

n Ap

plic

atio

ns o

f mul

tirat

e D

SP

S-8

SLO

-1

Ove

rsam

plin

g A/

D c

onve

rters

N

Poi

nt D

FT D

ecim

atio

n-in

-Tim

e FF

T R

adix

-2 F

FT A

lgor

ithm

Fi

lter D

esig

n us

ing

win

dow

ing

tech

niqu

e D

esig

n of

dig

ital f

ilter

s Im

puls

e in

varia

nce

met

hod

Prac

tical

App

licat

ions

of m

ultir

ate

DSP

SLO

-2

Dig

ital t

o an

alog

con

vers

ion

Sam

ple

and

hold

N

Poi

nt D

FT D

ecim

atio

n-in

-Fre

quen

cy

FFT

Rec

tang

ular

win

dow

D

esig

n of

dig

ital f

ilter

s Bi

linea

r tra

nsfo

rmat

ion

inte

rfaci

ng o

f dig

ital s

yste

ms

with

diff

eren

t sa

mpl

ing

rate

s

S-9

SLO

-1

Lab

3: G

ener

atio

n of

wav

efor

ms

Lab9

: Aut

ocor

rela

tion

and

cros

s co

rrela

tion

Lab

15: D

esig

n of

dig

ital F

IR L

ow P

ass

and

Hig

h Pa

ss fi

lter u

sing

Han

ning

and

H

amm

ing

win

dow

Lab

21: D

esig

n of

dig

ital B

utte

rwor

th fi

lter

usin

g im

puls

e in

varia

nce

met

hod

Lab

27: D

ecim

atio

n SL

O-2

S-10

SL

O-1

L

ab 4

: C

on

tin

uo

us

and

dis

cret

e ti

me

Lab

10:

Sp

ectr

um

an

alys

is u

sin

g D

FT

L

ab 1

6: D

esig

n o

f d

igit

al F

IR B

and

P

ass

and

Ban

d S

top

filt

er u

sin

g

Han

nin

g a

nd

Ham

min

g w

ind

ow

Lab

22:

Des

ign

of

dig

ital

Bu

tter

wo

rth

fi

lter

usi

ng

bili

nea

r tr

ansf

orm

atio

n

Lab

28:

Eff

ect

of

dec

imat

ion

in

freq

uen

cy d

om

ain

SL

O-2

S-11

SL

O-1

O

vers

ampl

ing

D/A

con

verte

rs

Rad

ix-2

FFT

Alg

orith

m Im

plem

enta

tion

of

FFT

Usi

ng D

IT

Filte

r Des

ign

usin

g w

indo

win

g te

chni

que

Han

ning

win

dow

D

esig

n of

dig

ital C

heby

shev

filte

rs

Prac

tical

App

licat

ions

of m

ultir

ate

DSP

Su

b ba

nd c

odin

g of

spe

ech

sign

als

SLO

-2

Qua

ntiz

atio

n no

ise

Impl

emen

tatio

n of

FFT

Usi

ng D

IF

Filte

r Des

ign

usin

g w

indo

win

g te

chni

que

Ham

min

g w

indo

w

Impu

lse

inva

rianc

e m

etho

d Fi

lter b

anks

An

alys

is fi

lter b

ank

S-12

SL

O-1

Er

rors

due

to tr

unca

tion

ID

FT

Filte

r Des

ign

usin

g w

indo

win

g te

chni

que

Des

ign

of d

igita

l Che

bysh

ev fi

lters

Sy

nthe

sis

filte

r ban

k

SLO

-2

Prob

abilit

y of

erro

r U

sing

DIT

FFT

Bl

ackm

ann

win

dow

Bi

linea

r tra

nsfo

rmat

ion

Subb

and

codi

ng fi

lterb

ank

S-13

SL

O-1

Er

rors

due

to ro

undi

ng

IDFT

D

esig

n of

FIR

filte

rs

Freq

uenc

y tra

nsfo

rmat

ion

in a

nalo

g do

mai

n Q

uadr

atur

e M

irror

Filt

er

SLO

-2

Prob

abilit

y of

erro

r U

sing

DIF

FFT

Fr

eque

ncy

sam

plin

g m

etho

d Fr

eque

ncy

trans

form

atio

n in

dig

ital

dom

ain

Alia

s fre

e fil

ter b

ank

S-14

SL

O-1

L

ab 5

: S

tud

y o

f sa

mp

ling

th

eore

m

Lab

11:

Eff

icie

nt

com

pu

tati

on

of

DF

T

usi

ng

FF

T

Lab

17:

Des

ign

of

dig

ital

FIR

Lo

w P

ass,

H

igh

Pas

s, B

and

pas

s an

d b

and

sto

p

filt

er u

sin

g B

lack

man

n w

ind

ow

Lab

23:

Des

ign

of

dig

ital

Ch

ebys

hev

fi

lter

usi

ng

imp

uls

e in

vari

ance

met

ho

d

Lab

29:

Des

ign

of

anti

-alia

sin

g f

ilter

SL

O-2

S-15

SL

O-1

L

ab 6

: A

liasi

ng

eff

ects

L

ab12

: C

om

pu

tati

on

of

IDF

T

Lab

18:

Des

ign

of

dig

ital

FIR

filt

er

usi

ng

fre

qu

ency

sam

plin

g m

eth

od

L

ab 2

4: D

esig

n o

f d

igit

al C

heb

ysh

ev

filt

er u

sin

g b

ilin

ear

tran

sfo

rmat

ion

L

ab 3

0: D

esig

n o

f an

ti-i

mag

ing

filt

er

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

John

G. P

roak

is, D

imitr

is G

. Man

olak

is, “

Dig

ital S

igna

l Pro

cess

ing,

Prin

cipl

es, A

lgor

ithm

s an

d Ap

plic

atio

ns”,

Pear

son

Educ

atio

n, 4

th e

ditio

n, 2

014

2.

Alan

V. O

ppen

heim

, Ron

ald

W. S

chaf

er,

“Dis

cret

e-Ti

me

Sign

al P

roce

ssin

g”, P

ears

on

Educ

atio

n, 1

st e

ditio

n, 2

015

3.

Sanj

it M

itra,

“Dig

ital S

igna

l Pro

cess

ing

–A C

ompu

ter B

ased

App

roac

h”, M

cGra

w H

ill, In

dia,

4th

Edi

tion,

201

3.

4.

Fred

ric J

. Har

ris, “

Mul

tirat

e Si

gnal

Pro

cess

ing

for C

omm

unic

atio

n Sy

stem

s”,1

st e

ditio

n, P

ears

on E

duca

tion,

20

07

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

26

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

E

xper

ts fr

om In

dust

ry

Exp

erts

from

Hig

her

Tec

hnic

al In

stitu

tions

In

tern

al E

xper

ts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

D

r. M

.S. V

asan

thi,,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

27

Co

urs

e C

od

e 18

EC

C20

5J

Co

urs

e N

ame

AN

ALO

G A

ND

DIG

ITA

L C

OM

MU

NIC

AT

ION

C

ou

rse

Cat

ego

ry

C

Prof

essi

onal

Cor

e L

T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18M

AB

203T

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

C30

1T, 1

8EC

C30

2J, 1

8EC

E221

T &

18EC

E223

T

Co

urs

e O

ffer

ing

Dep

artm

ent

EC

E D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Intro

duce

and

Und

erst

and

the

need

for m

odul

atio

n, v

ario

us A

mpl

itude

mod

ulat

ors/

dem

odul

ator

s, fr

eque

ncy

mod

ulat

ors

and

dem

odul

ator

s

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Com

preh

end

the

radi

o tra

nsm

itter

s an

d re

ceiv

ers

usin

g th

e m

odul

ator

s an

d de

mod

ulat

ors

and

to a

naly

ze th

e no

ise

perfo

rman

ce





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Intro

duce

bas

ics

of D

igita

l mod

ulat

ion

and

dete

ctio

n te

chni

ques

CL

R-4

:

Anal

yze

the

pass

ban

d da

ta tr

ansm

issi

on te

chni

ques

in te

rms

of p

roba

bilit

y of

erro

r

CL

R-5

:

Intro

duce

bas

ics

of s

prea

d sp

ectru

m te

chni

ques

and

info

rmat

ion

theo

ry c

once

pts

CL

R-6

:

Gai

n ha

nds-

on e

xper

ienc

e to

put

theo

retic

al c

once

pts

lear

ned

in th

e co

urse

to p

ract

ice.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Und

erst

and

the

conc

epts

of a

nalo

g m

odul

atio

n an

d de

mod

ulat

ion

tech

niqu

es

2 80

70

M

- -

- -

- -

- -

H

- -

H

- -

CL

O-2

:

Lear

n th

e fu

nctio

n of

rad

io tr

ansm

itter

s an

d re

ceiv

ers

and

fam

iliar

ize

with

noi

se p

erfo

rman

ce o

f var

ious

rec

eive

rs

2 85

75

- M

H

-

- -

- -

- -

- -

H

- -

CL

O-3

:

Und

erst

and

vario

us d

igita

l mod

ulat

ion

sche

mes

and

mat

ched

filte

r rec

eive

r 2

75

70

M

-

- -

- -

- -

- -

- -

- M

H

C

LO

-4 :

U

nder

stan

d an

d an

alyz

e va

rious

dig

ital p

ass

band

dat

a tra

nsm

issi

on s

chem

es

2 85

80

- -

- M

-

- -

- -

- -

- -

M

- C

LO

-5 :

U

nder

stan

ding

dat

a tra

nsm

issi

on u

sing

spr

ead

spec

trum

and

erro

r cod

ing

tech

niqu

es

2 85

75

- H

-

- -

- -

- -

- -

- M

-

H

CL

O-6

:

Anal

yze

the

oper

atio

n of

ana

log

and

digi

tal c

omm

unic

atio

n sy

stem

s an

d ta

ke m

easu

rem

ent o

f var

ious

com

mun

icat

ion

syst

ems

to c

ompa

re e

xper

imen

tal r

esul

ts in

the

labo

rato

ry w

ith th

eore

tical

ana

lysi

s 2

85

75

-

- H

-

H

- -

- H

-

- M

-

M

H

A

nal

og

Mo

du

lati

on

R

adio

Tra

nsm

itte

rs a

nd

Rec

eive

rs

Dig

ital

Mo

du

lati

on

Sys

tem

an

d

Bas

eban

d D

etec

tio

n

Pas

sban

d D

ata

Tra

nsm

issi

on

S

pre

ad S

pec

tru

m T

ech

niq

ues

an

d

Info

rmat

ion

th

eory

Co

nce

pts

Du

rati

on

(h

ou

r)

15

15

15

15

15

S-1

SL

O-1

M

odul

atio

n, N

eed

for

Mod

ulat

ion,

A

M tr

ansm

itter

: Lo

w L

evel

, P

ulse

mod

ulat

ion

syst

ems,

Ove

rvie

w o

f P

AM

,PW

M,P

PM

O

verv

iew

of A

SK

, FS

K, P

SK

S

prea

d sp

ectr

um C

omm

unic

atio

ns,

Fre

quen

cy H

oppi

ng S

prea

d S

pect

rum

(F

HS

S)

SL

O-2

A

mpl

itude

Mod

ulat

ion,

Typ

es o

f Am

plitu

de

Mod

ulat

ion

AM

tran

smitt

er :

Hig

h Le

vel T

rans

mitt

er

Pul

se m

odul

atio

n sy

stem

s, O

verv

iew

of

PA

M,P

WM

,PP

M

Ove

rvie

w o

f AS

K, F

SK

, PS

K

Spr

ead

spec

trum

Com

mun

icat

ions

, F

requ

ency

Hop

ping

Spr

ead

Spe

ctru

m

(FH

SS

)

S-2

S

LO

-1

Dou

ble

side

band

Ful

l car

rier

FM

tran

smitt

er: D

irect

Met

hod

P

ulse

mod

ulat

ion

syst

ems,

Sam

plin

g an

d qu

antiz

atio

n G

ener

atio

n, S

igna

l Spa

ce D

iagr

am a

nd

dete

ctio

n of

FS

K

Dire

ct S

eque

nce

Spr

ead

Spe

ctru

m (

DS

SS

)

SL

O-2

D

oubl

e si

deba

nd F

ull c

arrie

r F

M tr

ansm

itter

: Dire

ct M

etho

d P

ulse

mod

ulat

ion

syst

ems,

Sam

plin

g an

d qu

antiz

atio

n G

ener

atio

n, S

igna

l Spa

ce D

iagr

am a

nd

dete

ctio

n of

FS

K

Dire

ct S

eque

nce

Spr

ead

Spe

ctru

m (

DS

SS

)

S-3

SL

O-1

D

oubl

e si

deba

nd S

uppr

esse

d ca

rrie

r F

M tr

ansm

itter

: Ind

irect

Met

hod

PC

M s

yste

ms

Pro

babi

lity

of E

rror

for

FS

K

Dire

ct S

eque

nce

Spr

ead

Spe

ctru

m (

DS

SS

)

SL

O-2

S

ingl

e si

deba

nd S

uppr

esse

d ca

rrie

r, V

SB

F

M tr

ansm

itter

: Ind

irect

Met

hod

Ban

dwid

th o

f PC

M, P

CM

TD

M s

igna

l m

ultip

lexi

ng, L

imita

tions

of P

CM

sys

tem

P

roba

bilit

y of

Err

or fo

r F

SK

C

ode

Div

isio

n M

ultip

le A

cces

s of

DS

SS

S

4-5

SL

O-1

L

ab-1

: A

M m

od

ula

tor

and

Dem

od

ula

tor

Lab

-4:

Pre

em

ph

asis

an

d D

e-em

ph

asis

L

ab-7

: D

PC

M a

nd

its

Dem

od

ula

tio

n

Lab

-10:

QP

SK

Mo

du

lati

on

an

d

Dem

od

ula

tio

n

Lab

-13:

Min

i Pro

ject

S

LO

-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

28

S-6

S

LO

-1

Gen

erat

ion

of A

M w

aves

: Lin

ear

met

hod-

Col

lect

or m

odul

ator

C

lass

ifica

tion

of r

adio

rec

eive

r, F

unct

ions

an

d C

hara

cter

istic

s of

rad

io r

ecei

ver

Dat

a fo

rmat

ting

Gen

erat

ion,

Det

ectio

n, S

igna

l Spa

ce

Dia

gram

of P

SK

C

ode

Div

isio

n M

ultip

le A

cces

s of

DS

SS

SL

O-2

G

ener

atio

n of

AM

wav

es: L

inea

r m

etho

d-

Col

lect

or m

odul

ator

T

uned

Rad

io F

requ

ency

rec

eive

r D

ata

form

attin

g G

ener

atio

n, D

etec

tion,

Sig

nal S

pace

D

iagr

am o

f PS

K

OF

DM

Com

mun

icat

ion

S-7

S

LO

-1

Non

-line

ar M

odul

atio

n-B

alan

ced

Mod

ulat

or

Supe

r-het

erod

yne

rece

iver

- AM

D

iffer

entia

l PC

M (

DP

CM

) P

roba

bilit

y of

Err

or fo

r P

SK

O

FD

M C

omm

unic

atio

n

SL

O-2

N

on-li

near

Mod

ulat

ion-

Bal

ance

d M

odul

ator

Sup

er-h

eter

odyn

e re

ceiv

er- A

M

Diff

eren

tial P

CM

(D

PC

M)

Pro

babi

lity

of E

rror

for

PS

K

OF

DM

Com

mun

icat

ion

S-8

S

LO-1

D

emod

ulat

ion

of A

M w

aves

: Li

near

dio

de

dete

ctor

Su

per-h

eter

odyn

e re

ceiv

er- F

M

Del

ta m

odul

atio

n (D

M)

Gen

erat

ion,

sig

nal s

pace

dia

gram

and

de

tect

ion

of Q

PS

K

Mea

sure

s of

Info

rmat

ion

SLO

-2

Dem

odul

atio

n of

AM

wav

es :

Line

ar d

iode

de

tect

or

Supe

r-het

erod

yne

rece

iver

- FM

D

elta

mod

ulat

ion

(DM

), N

oise

in D

M

Gen

erat

ion,

sig

nal s

pace

dia

gram

and

de

tect

ion

of Q

PS

K

Mea

sure

s of

Info

rmat

ion

S

9-10

SLO

-1

Lab

-2:

DS

B-S

C

mo

du

lato

r an

d

dem

od

ula

tor

Lab

-5:

PA

M,P

PM

,PW

M m

od

ula

tio

n a

nd

d

emo

du

lati

on

L

ab-8

: D

M a

nd

its

Dem

od

ula

tio

n

Lab

-11:

D

PS

K

Mo

du

lati

on

an

d

Dem

od

ula

tio

n

Lab

-14:

Mo

del

Pra

ctic

al E

xam

S

LO-2

S-1

1 S

LO-1

F

requ

ency

mod

ulat

ion,

Typ

es o

f FM

So

urce

s of

Noi

se

Dem

odul

atio

n an

d de

tect

ion

proc

ess

Pro

babi

lity

of E

rror

for

QP

SK

S

ourc

e en

codi

ng,

Sha

nnon

’s

Cha

nnel

capa

city

theo

rem

SLO

-2

Nar

row

Ban

d F

M, W

ide

Ban

d F

M, P

hase

m

odul

atio

n So

urce

s of

Noi

se

Dem

odul

atio

n an

d de

tect

ion

proc

ess

Pro

babi

lity

of E

rror

for

QP

SK

Sha

nnon

’s C

hann

el c

apac

ity th

eore

m

S-1

2 S

LO-1

G

ener

atio

n of

Nar

row

band

FM

N

oise

in A

M (E

nvel

ope

Det

ectio

n),

Max

imum

like

lihoo

d re

ceiv

er s

truc

ture

, M

atch

ed fi

lter

rece

iver

Gen

erat

ion,

si

gnal

sp

ace

diag

ram

an

d

dete

ctio

n of

π/4

QP

SK

Li

near

blo

ck c

odes

SLO

-2

Gen

erat

ion

of N

arro

wba

nd F

M

Noi

se in

AM

(Env

elop

e D

etec

tion)

, M

axim

um li

kelih

ood

rece

iver

str

uctu

re,

Mat

ched

filte

r re

ceiv

er

Gen

erat

ion,

sig

nal s

pace

dia

gram

and

de

tect

ion

of π

/4Q

PS

K

Line

ar b

lock

cod

es

S-1

3 S

LO-1

D

emod

ulat

ion

of F

M :

Fos

ter

seel

y di

scrim

inat

or

Noi

se in

FM

P

roba

bilit

y er

ror

of th

e M

atch

ed fi

lter,

Inte

r sy

mbo

l int

erfe

renc

e, E

ye p

atte

rn

Gen

erat

ion,

sig

nal s

pace

dia

gram

and

de

tect

ion

of Q

AM

Cyc

lic c

odes

SLO

-2

Dem

odul

atio

n of

FM

: F

oste

r se

ely

disc

rimin

ator

Th

resh

old

effe

ct, P

re-e

mph

asis

and

De-

emph

asis

P

roba

bilit

y er

ror

of th

e M

atch

ed fi

lter,

Inte

r sy

mbo

l int

erfe

renc

e, E

ye p

atte

rn

Gen

erat

ion,

sig

nal s

pace

dia

gram

and

de

tect

ion

of Q

AM

Cyc

lic c

odes

S

14-1

5

SLO

-1

Lab

-3:

FM

Mo

du

lato

r an

d D

emo

du

lato

r L

ab-6

: P

uls

e C

od

e M

od

ula

tio

n

and

D

emo

du

lati

on

L

ab-9

: P

SK

Mo

du

lati

on

an

d

Dem

od

ula

tio

n

Lab

-12:

B

ER

p

erfo

rman

ce

anal

ysis

o

f va

rio

us

Mo

du

lati

on

Sch

emes

L

ab-1

5: U

niv

ersi

ty P

ract

ical

Exa

m

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

Sim

on H

ayki

n an

d M

icha

el M

oher

, “C

omm

unic

atio

n Sy

stem

s,” 5

th e

ditio

n, J

ohn

Wile

y &

Sons

, 20

13

2.

Sin

gh. R

. P &

Sap

re. S

. D, “

Com

mun

icat

ion

Sys

tem

s: A

nalo

g &

Dig

ital,”

3rd

edi

tion,

McG

raw

Hill

Educ

atio

n, S

even

th R

eprin

t, 20

16.

3.

Sim

on H

ayki

n, “

Com

mun

icat

ion

Sys

tem

s”, J

ohn

Wile

y &

Son

s, 4

th E

ditio

n, 2

0008

. 4.

B

erna

rd S

klar

, “D

igita

l Com

mun

icat

ion,

Fun

dam

enta

ls a

nd A

pplic

atio

n”, P

ears

on E

duca

tion

Asi

a,

2nd

Edi

tion,

200

1

5.

Tau

b &

Sch

illin

g, “

Prin

cipl

e of

Com

mun

icat

ion

Sys

tem

s”, M

cGra

w H

ill In

c, 2

nd E

ditio

n, 2

003.

6.

Jo

hn G

. Pro

akis

, “D

igita

l Com

mun

icat

ion”

, McG

raw

Hill

Inc,

5th

Edi

tion,

200

8.

7.

B.P

. Lat

hi, “

Mod

ern

Dig

ital a

nd A

nalo

g C

omm

unic

atio

n S

yste

m”,

Oxf

ord

Uni

vers

ity P

ress

, 3rd

Edi

tion,

200

5.

8.

Shu

Lin

, D

anie

l C

oste

llo,

“Err

or c

ontr

ol c

odin

g –

Fun

dam

enta

ls a

nd A

pplic

atio

ns”,

Pre

ntic

e H

all,

Upp

er

Sad

dle

Riv

er, N

J, 2

nd E

ditio

n, 2

004.

9.

La

b M

anua

l

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

29

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

M

rs. S

. Vas

anth

adev

Sur

yaka

la, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

30

Co

urs

e C

od

e 18

EC

C20

6J

Co

urs

e N

ame

VLS

I Des

ign

Co

urs

e C

ateg

ory

C

Pr

ofes

sion

al C

ore

L T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18E

CC

103J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

E301

J

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Use

Ver

ilog

HD

L as

a d

esig

n-en

try la

ngua

ge fo

r FPG

A in

ele

ctro

nic

desi

gn a

utom

atio

n of

dig

ital c

ircui

ts

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Des

ign,

con

stru

ct a

nd s

imul

ate

VLSI

add

ers

and

mul

tiplie

rs.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Und

erst

and

MO

SFET

ope

ratio

n

CL

R-4

:

Impl

emen

t a g

iven

logi

c fu

nctio

n us

ing

appr

opria

te lo

gic

styl

es fo

r im

prov

ed p

erfo

rman

ce

CL

R-5

:

Und

erst

and

the

basi

c pr

oces

ses

in IC

fabr

icat

ion,

ste

ps in

the

fabr

icat

ion

of M

OS

ICs,

and

as

wel

l the

layo

ut d

esig

n ru

les.

CL

R-6

:

Use

mod

ern

engi

neer

ing

tool

s su

ch a

s H

SPIC

E / M

odel

sim

/ Xi

linx

to c

arry

out

des

ign

expe

rimen

ts a

nd g

ain

expe

rienc

e w

ith th

e de

sign

and

ana

lysi

s of

MO

S ci

rcui

ts a

nd s

yste

ms.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Des

ign

and

impl

emen

t dig

ital c

ircui

ts u

sing

Ver

ilog

HD

L to

sim

ulat

e an

d ve

rify

the

desi

gns.

3

85

75

-

H

H

- H

-

- -

- -

- -

- -

- C

LO

-2 :

D

esig

n ge

nera

l VLS

I sys

tem

com

pone

nts,

add

er c

ells

and

mul

tiplie

rs to

add

ress

the

desi

gn o

f dat

apat

h su

bsys

tem

. 3

85

75

-

H

H

- H

-

- -

- -

- -

- -

- C

LO

-3 :

Ex

amin

e th

e ch

arac

teris

tics

of M

OS

trans

isto

rs

2 80

70

H

M

- -

- -

- -

- -

- -

- -

- C

LO

-4 :

An

alyz

e C

MO

S in

verte

r and

oth

er c

ompl

ex lo

gic

gate

s de

sign

ed u

sing

diff

eren

t log

ic s

tyle

s 2

80

70

-

L L

- -

- -

- -

- -

- -

- -

CL

O-5

:

Expl

ain

how

the

trans

isto

rs a

re b

uilt,

and

und

erst

and

the

phys

ical

impl

emen

tatio

n of

circ

uits

. 2

80

70

-

L L

- -

- -

- -

- -

- -

- -

CL

O-6

:

Use

HSP

ICE

com

pute

r ana

lysi

s pr

ogra

m a

nd V

erilo

g H

DL

for s

imul

atio

n an

d an

alys

is o

f MO

S ci

rcui

ts a

nd b

uild

ing

bloc

ks

3 85

75

- M

M

-

H

- -

- H

M

L

M

- -

M

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1:

In

tro

du

ctio

n t

o V

erilo

g H

DL

& C

od

ing

L

earn

ing

Un

it /

Mo

du

le 2

:

Su

bsy

stem

Des

ign

L

earn

ing

Un

it /

Mo

du

le 3

:

MO

S T

ran

sist

or

Lea

rnin

g U

nit

/ M

od

ule

4:

C

MO

S In

vert

er a

nd

Cir

cuit

Des

ign

S

tyle

s

Lea

rnin

g U

nit

/ M

od

ule

5:

IC

Fab

rica

tio

n

15

15

15

15

15

S-1

SL

O-1

In

trodu

ctio

n to

HD

L &

Veril

og H

DL

Gen

eral

VL

SI S

yste

m C

om

po

nen

ts:

Mul

tiple

xers

G

ener

ic o

verv

iew

of

the

MO

S d

evic

e:

MO

S tra

nsis

tor s

ymbo

ls

CM

OS

Inve

rter

Ch

arac

teri

stic

s:

Ope

ratio

n an

d pr

oper

ties

of s

tatic

CM

OS

in

vert

er

Pro

per

ties

of

bas

ic m

ater

ials

use

d in

m

icro

elec

tro

nic

s: S

ilicon

, Silic

on d

ioxi

de

SL

O-2

In

trodu

ctio

n to

Ver

ilog

HD

L, m

odul

es a

nd

ports

D

ecod

ers

MO

S st

ruct

ure

dem

onst

ratin

g (a

) ac

cum

ulat

ion,

(b) d

eple

tion,

and

(c

) inv

ersi

on;

nMO

S tra

nsis

tor d

emon

stra

ting

cuto

ff,

linea

r, an

d sa

tura

tion

regi

ons

of o

pera

tion

VTC

of s

tatic

CM

OS

inve

rter

Poly

silic

on a

nd S

ilicon

Nitr

ide

S-2

SL

O-1

L

exic

al C

on

ven

tio

ns:

Whi

te S

pace

and

C

omm

ents

, Ope

rato

rs

Com

para

tors

M

OS

Tra

nsi

sto

r u

nd

er S

tati

c C

on

dit

ion

s: T

he th

resh

old

volta

ge

DC

Inve

rter C

alcu

latio

ns

Bas

ic P

roce

sses

in In

teg

rate

d-C

ircu

it

Fab

rica

tio

n:

Waf

er F

orm

atio

n,

Phot

olith

ogra

phy,

Wel

l and

Cha

nnel

Fo

rmat

ion

SL

O-2

N

umbe

rs, S

tring

s, Id

entif

iers

, Sys

tem

N

ames

, and

Key

wor

ds

prio

rity

enco

der

Res

istiv

e op

erat

ion

Sym

met

rical

Inve

rter

Silic

on D

ioxi

de (S

iO2)

, Iso

latio

n, G

ate

Oxi

de

S-3

SL

O-1

V

erilo

g D

ata

Typ

es: N

ets,

Reg

iste

r Va

riabl

es, C

onst

ants

sh

ift a

nd ro

tate

ope

ratio

ns

Satu

ratio

n re

gion

In

verte

r sw

itchi

ng c

hara

cter

istic

s G

ate

and

Sour

ce/D

rain

For

mat

ions

, C

onta

cts

and

Met

alliz

atio

n, P

assi

vatio

n,

Met

rolo

gy

SL

O-2

R

efer

enci

ng A

rrays

of N

ets

or R

egs

Ad

der

s: S

tand

ard

adde

r cel

ls

Cur

rent

-vol

tage

cha

ract

eris

tics

Out

put c

apac

itanc

e S

om

e R

ecu

rrin

g P

roce

ss

Ste

ps:

Diff

usio

n an

d Io

n Im

plan

tatio

n,

Dep

ositi

on, E

tchi

ng, P

lana

rizat

ion

S-4,

5

SL

O-1

L

ab-0

: V

erilo

g O

per

ato

rs:

L

ab-3

:Des

ign

usin

g FS

M a

nd A

SM c

harts

Lab

-6: R

ealiz

atio

n of

VLS

I mul

tiplie

rs -

I L

ab-9

:Des

ign

and

Anal

ysis

of C

MO

S La

b-12

: Des

ign

and

Anal

ysis

of 4

-inpu

t

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

31

SL

O-2

Arith

met

ic O

pera

tors

, Bitw

ise

Ope

rato

rs,

Red

uctio

n O

pera

tors

, Log

ical

Ope

rato

rs,

Rel

atio

nal O

pera

tors

, Shi

ft O

pera

tors

, C

ondi

tiona

l Ope

rato

r, C

onca

tena

tion

Ope

rato

r, Ex

pres

sion

s an

d O

pera

nds,

O

pera

tor P

rece

denc

e

Inve

rter u

sing

HSP

ICE

Dyn

amic

NAN

D g

ate

usin

g H

SPIC

E

S-6

SL

O-1

V

erilo

g m

od

ellin

g:

Gat

e-le

vel m

odel

ling

Rip

ple

Car

ry A

dder

(RC

A)

Dyn

amic

beh

avio

r: M

OSF

ET

Cap

acita

nces

, viz

., M

OS

stru

ctur

e ca

paci

tanc

es

Sec

on

dar

y P

aras

itic

Eff

ects

:Lea

kage

C

urre

nts,

Par

asiti

c R

esis

tanc

es

Sim

plifi

ed C

MO

S Pr

oces

s flo

w

SL

O-2

R

ealiz

atio

n of

Com

bina

tiona

l and

se

quen

tial c

ircui

ts

Car

ry L

ook-

Ahea

d Ad

der (

CLA

) C

hann

el c

apac

itanc

e an

d Ju

nctio

n (o

r, de

plet

ion)

cap

acita

nces

In

verte

r lay

out

S-7

SL

O-1

C

ompi

latio

n an

d si

mul

atio

n of

Ver

ilog

code

C

arry

Sel

ect A

dder

(CSL

) Pa

rasi

tic R

esis

tanc

es, v

iz.,

Dra

in a

nd

Sour

ce R

esis

tanc

e, C

onta

ct R

esis

tanc

e P

ow

er-D

elay

Pro

du

ct: S

tatic

Pow

er

Con

sum

ptio

n L

ayo

ut

des

ign

ru

les:

Wel

l rul

es,

trans

isto

r rul

es

SL

O-2

Te

st b

ench

C

arry

Sav

e Ad

der (

CSA

) N

on

-id

eal I

-V e

ffec

ts: M

obilit

y D

egra

datio

n, V

eloc

ity S

atur

atio

n D

ynam

ic P

ower

Con

sum

ptio

n, T

otal

Po

wer

Con

sum

ptio

n, P

DP

Con

tact

rule

s, m

etal

rule

s, v

ia ru

les

and

othe

r rul

es

S-8

SL

O-1

D

ataf

low

mod

ellin

g C

arry

Ski

p Ad

der (

CSK

) C

hann

el L

engt

h M

odul

atio

n, T

hres

hold

Vo

ltage

Effe

cts

CM

OS

Cir

cuit

Des

ign

Sty

les:

Stat

ic

CM

OS

logi

c st

yles

G

ate

Layo

uts

SL

O-2

R

ealiz

atio

n of

Com

bina

tiona

l and

se

quen

tial c

ircui

ts

Car

ry B

ypas

s Ad

der (

CBA

) Le

akag

e, T

empe

ratu

re D

epen

denc

e,

Geo

met

ry D

epen

denc

e, S

ubth

resh

old

Cur

rent

CM

OS

circ

uits

, pse

udo-

nMO

S, tr

ista

te

circ

uits

, clo

cked

CM

OS

circ

uits

St

ick

diag

ram

s

S-9,

10

SL

O-1

L

ab-1

:Rea

lizat

ion

of c

ombi

natio

nal a

nd

sequ

entia

l circ

uits

usi

ng g

ate-

leve

l and

da

taflo

w m

odel

ing

Lab

-4:R

ealiz

atio

n of

VLS

I add

ers

- I

Lab

-7: R

ealiz

atio

n of

VLS

I mul

tiplie

rs -

II

Lab

-10:

(a) D

esig

n an

d An

alys

is o

f co

mpl

ex C

MO

S ga

te u

sing

HSP

ICE

(b) D

esig

n an

d An

alys

is o

f Pse

udo-

NM

OS

gate

s us

ing

HSP

ICE

Lab-

13: M

odel

Pra

ctic

al E

xam

inat

ion

SL

O-2

S-11

SL

O-1

Be

havi

oral

mod

ellin

g

Mu

ltip

liers

: O

verv

iew

of m

ultip

licat

ion

(uns

igne

d m

ultip

licat

ion,

shi

ft/ad

d m

ultip

licat

ion

algo

rithm

s, m

ultip

licat

ion

of

sign

ed n

umbe

rs, t

ypes

of m

ultip

lier

arch

itect

ures

)

Sh

ort

-ch

ann

el M

OS

FE

TS

: Hot

car

riers

, Li

ghtly

-Dop

ed D

rain

(LD

D)

Diff

eren

tial C

asca

de V

olta

ge S

witc

h Lo

gic

(DC

VSL)

, Pas

s Tr

ansi

stor

Log

ic (P

TL)

CM

OS

Pro

cess

En

han

cem

ents

: Tr

ansi

stor

s (M

ultip

le T

hres

hold

Vol

tage

s an

d O

xide

Thi

ckne

sses

, Silic

on-o

n-In

sula

tor,

Hig

h-k

Gat

e D

iele

ctric

s, H

ighe

r M

obilit

y, P

last

ic T

rans

isto

rs,)

SLO

-2

Rea

lizat

ion

of C

ombi

natio

nal a

nd

sequ

entia

l circ

uits

Br

aun

mul

tiplie

r M

OSF

ET s

calin

g D

ynam

ic C

MO

S lo

gic

sty

les:

Bas

ic

dyna

mic

logi

c

S-12

SLO

-1

Switc

h-le

vel m

odel

ling

Baug

h-W

oole

y m

ultip

lier

Sh

ort

-ch

ann

el e

ffec

ts: N

egat

ive

Bias

Te

mpe

ratu

re In

stab

ility

(NBT

I), o

xide

br

eakd

own

Sign

al in

tegr

ity is

sues

in d

ynam

ic d

esig

n In

terc

onne

cts

SLO

-2

Rea

lizat

ion

of M

oS c

ircui

ts

Wal

lace

Tre

e m

ultip

lier

Dra

in-In

duce

d Ba

rrier

Low

erin

g (D

IBL)

, G

ate-

Indu

ced

Dra

in L

eaka

ge (G

IDL)

, G

ate

Tunn

el C

urre

nt

Sign

al in

tegr

ity is

sues

in d

ynam

ic d

esig

n C

ircui

t ele

men

ts

S-13

SL

O-1

D

esig

n us

ing

FSM

Bo

oth

mul

tiplie

r Tu

toria

ls

Do

min

o L

og

ic C

ircu

its:

Diff

eren

tial

Dom

ino

logi

c, m

ultip

le-o

utpu

t dom

ino

Beyo

nd c

onve

ntio

nal C

MO

S

SLO

-2

Rea

lizat

ion

of s

eque

ntia

l circ

uits

Bo

oth

mul

tiplie

r Tu

toria

ls

Com

poun

d do

min

o, N

OR

A, T

SPC

Tu

toria

ls

S-14

, 15

SLO

-1

Lab-

2: (a

) Rea

lizat

ion

of d

igita

l circ

uits

us

ing

beha

vior

al m

odel

ing

(b) R

ealiz

atio

n of

MO

S ci

rcui

ts u

sing

sw

itch-

leve

l mde

ling

Lab

-5:R

ealiz

atio

n of

VLS

I add

ers

- II

Lab-

8: R

ealiz

atio

n of

RAM

& R

OM

Lab

-11:

(a) D

esig

n an

d An

alys

is o

f AN

D/N

AND

gat

e in

DC

VSL

usin

g SP

ICE

(b) D

esig

n an

d An

alys

is o

f Pas

s-Tr

ansi

stor

gat

es a

nd C

PL g

ates

usi

ng

HSP

ICE

Lab-

14: E

nd-S

emes

ter P

ract

ical

Ex

amin

atio

n SL

O-2

Lea

rnin

g

Res

ou

rces

1.

Jan

Rab

aey,

Ana

ntha

Cha

ndra

kasa

n, B

Nik

olic

, “D

igita

l Int

egra

ted

Circ

uits

: A D

esig

n Pe

rspe

ctiv

e”. S

econ

d Ed

ition

, Feb

200

3, P

rent

ice

Hal

l of I

ndia

. 2.

W

este

, Har

ris, “

CM

OS

VLSI

Des

ign:

A C

ircui

ts a

nd S

yste

ms

Pers

pect

ive”

, 4th

edi

tion,

Add

isio

n-W

esle

y, 2

011.

3.

W

ayne

Wol

f, “M

oder

n VL

SI D

esig

n: IP

-bas

ed D

esig

n”, 4

th e

ditio

n, P

HI,

2009

.

4.

R. J

acob

Bak

er, “

CM

OS

Circ

uit D

esig

n, L

ayou

t, an

d Si

mul

atio

n”, W

iley,

(3/e

), 20

10.

5.

John

P. U

yem

ura,

“CM

OS

Logi

c C

ircui

t Des

ign”

, Klu

wer

, 200

1.

6.

S. P

alni

tkar

, Ve

rilog

HD

L –

A G

uide

to D

igita

l Des

ign

and

Synt

hesi

s, P

ears

on ,

2003

7.

Pa

ul. R

.Gra

y, R

ober

t G. M

eyer

, “An

alys

is a

nd D

esig

n of

Ana

log

Inte

grat

ed C

ircui

ts”,

Wile

y, (4

/e),

2001

. 8.

M

.D.C

iletti

, M

odel

ing,

Syn

thes

is a

nd R

apid

Pro

toty

ping

with

the

Veril

og H

DL,

Pre

ntic

e H

all,

1999

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

32

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Mr.

Man

ikan

dan

AVM

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

J. M

anju

la, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

33

Co

urs

e C

od

e 18

EC

C30

1T

Co

urs

e N

ame

Wire

less

Com

mun

icat

ion

Co

urs

e C

ateg

ory

C

Pr

ofes

sion

al C

ore

L T

P

C

3 1

0 4

P

re-r

equ

isit

e C

ou

rses

18

EC

C20

5J, 1

8EC

C10

5T

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

18

ECE2

20T

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

the

elem

ents

of

Wire

less

Com

mun

icat

ion

and

mob

ile c

omm

unic

atio

ns

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

Mob

ile R

adio

Wav

e Pr

opag

atio

n - L

arge

Sca

le F

adin

g





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO–1: Professional Achievement PSO – 2: Project Management

Techniques


CL

R-3

:

Anal

yze

how

to a

pply

Mob

ile R

adio

Wav

e Pr

opag

atio

n - S

mal

l Sca

le F

adin

g

C

LR

-4 :

St

udy

the

Cap

acity

and

Div

ersi

ty c

once

pts

in w

irele

ss c

omm

unic

atio

ns

CL

R-5

:

Acqu

ire th

e kn

owle

dge

of W

irele

ss S

yste

m a

nd S

tand

ards

CL

R-6

:

Und

erst

and

and

desi

gn v

ario

us w

irele

ss s

yste

ms

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Acqu

ire th

e kn

owle

dge

of W

irele

ss c

omm

unic

atio

n an

d ba

sic

cellu

lar c

once

pts

2 75

60

H

- -

- -

- -

- -

- -

M

M

- L

CL

O-2

:

Und

erst

and`

the

esse

ntia

l Rad

io w

ave

prop

agat

ion

and

mob

ile c

hann

el m

odel

s 2

75

60

H

H

H

H

-

- -

- -

- -

M

M

- H

C

LO

-3 :

Fa

milia

rize

abou

t Var

ious

per

form

ance

ana

lysi

s of

mob

ile c

omm

unic

atio

n sy

stem

. 2

75

60

H

H

H

-

- -

- -

- -

- -

- -

H

CL

O-4

:

Atta

in th

e kn

owle

dge

of D

iver

sity

and

cap

acity

con

cept

s 2

75

60

H

H

-

- -

- -

- -

- -

- -

- H

C

LO

-5 :

Be

fam

iliar w

ith th

e va

rious

sta

ndar

ds o

f Mob

ile C

omm

unic

atio

n Sy

stem

s 2

75

60

H

-

- -

- -

- -

- -

- M

M

-

L C

LO

-6 :

Ex

plor

e th

e va

rious

con

cept

s of

wire

less

com

mun

icat

ion,

its

desi

gn w

ith re

spec

t to

fadi

ng a

nd li

nk p

erfo

rman

ce

2 75

60

H

H

H

H

M

- -

- -

M

- M

M

-

H

Du

rati

on

(h

ou

r)

Wir

eles

s co

mm

un

icat

ion

: M

ob

ile

com

mu

nic

atio

ns

Lar

ge

Sca

le F

adin

g

Sm

all S

cale

Fad

ing

Im

pro

vem

ent

on

Lin

k p

erfo

rman

ce

Wir

eles

s sy

stem

s an

d s

tan

dar

ds

12

12

12

12

12

S-1

S

LO

-1

Intr

oduc

tion

to w

irele

ss c

omm

unic

atio

n an

d m

obile

rad

io c

omm

unic

atio

n In

trod

uctio

n to

Rad

io w

ave

Pro

paga

tion

Intr

oduc

tion

Sm

all s

cale

mul

tipat

h pr

opag

atio

n In

trod

uctio

n to

div

ersi

ty, e

qual

izat

ion

and

capa

city

A

MP

S V

oice

mod

ulat

ion

Pro

cess

S

LO

-2

Cla

ssifi

catio

n of

wire

less

com

mun

icat

ions

-

sim

plex

, hal

f dup

lex,

dul

l dup

lex

Larg

e sc

ale

and

smal

l sca

le fa

ding

Im

puls

e re

spon

se m

odel

of m

ultip

ath

chan

nel

S-2

S

LO

-1

Pag

ing

and

Cor

dles

s sy

stem

s F

riis

tran

smis

sion

equ

atio

n- F

ree

spac

e pr

opag

atio

n m

odel

- p

athl

oss

mod

el

Impu

lse

resp

onse

mod

el o

f mul

tipat

h ch

anne

l S

pace

div

ersi

ty

GS

M s

yste

m a

rchi

tect

ure

and

its in

terf

aces

S

LO

-2

Cel

lula

r te

leph

one

syst

ems

Sm

all s

cale

mul

tipat

h m

easu

rem

ents

-

Dire

ct P

ulse

mea

sure

men

t S

cann

ing

dive

rsity

S-3

S

LO

-1

Tim

ing

diag

ram

- la

ndlin

e to

mob

ile

Tw

o R

ay m

odel

Sm

all s

cale

mul

tipat

h m

easu

rem

ents

-

Slid

ing

corr

elat

or m

easu

rem

ent

Max

imal

rat

io c

ombi

ner

GS

M fr

ame

stru

ctur

e S

LO

-2

Tim

ing

diag

ram

- m

obile

to m

obile

S

mal

l sca

le m

ultip

ath

mea

sure

men

ts -

S

wep

t fre

quen

cy m

easu

rem

ent

Equ

al g

ain

dive

rsity

S-4

S

LO

-1

Bas

ic a

nten

na p

aram

eter

s, F

ar fi

eld

and

near

fiel

d S

impl

ified

pat

hlos

s m

odel

P

aram

eter

s of

mob

ile m

ultip

ath

chan

nels

-

Tim

e di

sper

sion

and

Coh

eren

t ban

dwid

th

Rak

e R

ecei

ver

GS

M s

peec

h op

erat

ions

inpu

t - o

utpu

t S

LO

-2

Fre

quen

cy r

euse

, sec

tore

d an

d om

ni-

dire

ctio

nal a

nten

nas

E

mpe

rical

mod

el -

Oku

mar

a

S-5

S

LO

-1

Cha

nnel

ass

ignm

ent s

trat

egie

s E

mpe

rical

mod

el -

Hat

a m

odel

P

aram

eter

s of

mob

ile m

ultip

ath

chan

nels

-

Dop

pler

spr

ead

and

Coh

eren

t tim

e C

apac

ity in

AW

GN

F

orw

ard

CD

MA

pro

cess

S

LO

-2

Han

doff

and

its ty

pes

Em

peric

al m

odel

- W

alfis

h an

d be

rton

i m

odel

S-6

S

LO

-1

Inte

rfer

ence

and

sys

tem

cap

acity

P

iece

wis

e lin

ear

mod

el -

log

norm

al m

odel

T

ypes

of f

adin

g: F

lat a

nd F

requ

ency

se

lect

ive

fadi

ng

Cap

acity

of f

lat f

adin

g ch

anne

ls

R

ever

se C

DM

A P

roce

ss

SL

O-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

34

S-7

S

LO

-1

Tru

nkin

g an

d G

rade

of S

ervi

ce

Sha

dow

ing

Typ

es o

f fad

ing:

Fla

t and

Fre

quen

cy

sele

ctiv

e fa

ding

E

qual

izer

and

its

mod

e M

ultic

arrie

r m

odul

atio

n S

LO

-2

Com

bine

d pa

thlo

ss a

nd s

hado

win

g

S-8

S

LO

-1

Cel

l spl

ittin

g

Out

age

Pro

babi

lty

Typ

es o

f fad

ing:

Fas

t and

Slo

w fa

ding

A

dapt

ive

equa

lizer

blo

ck d

iagr

am

OF

DM

Tra

nsm

itter

Blo

ck d

iagr

am

SL

O-2

S-9

S

LO

-1

Sec

torin

g C

ell C

over

age

Are

a T

ypes

of f

adin

g: F

ast a

nd S

low

fadi

ng

Typ

es o

f Equ

aliz

ers

- el

emen

tary

leve

l onl

y O

FD

M R

ecei

ver

Blo

ck d

iagr

am

SL

O-2

S-1

0 S

LO

-1

Mic

roce

ll zo

ne c

once

pts

So

lvin

g pr

oble

ms

– Br

ewst

er a

ngle

R

icea

n di

strib

utio

n In

trod

uctio

n to

MIM

O a

nten

nas

Impo

rtan

ce o

f Cyc

lic P

refix

S

LO

-2

S-1

1 S

LO

-1

Um

brel

la c

ells

So

lvin

g pr

oble

ms

–em

piric

al m

odel

R

ayle

igh

dist

ribut

ion

Intr

oduc

tion

to M

IMO

ant

enna

s C

ase

stud

y -

Mod

ern

ante

nnas

S

LO

-2

S-1

2 S

LO

-1

Solv

ing

Prob

lem

s So

lvin

g pr

oble

ms

– fri

is tr

ansm

issi

on

form

ula

Solv

ing

prob

lem

s –

Dop

pler

effe

ct

Cas

e st

udy

:Rec

ent t

rend

s in

Div

ersi

ty a

nd

MIM

O a

nten

nas

Cas

e st

udy

- M

oder

n an

tenn

as

SL

O-2

Lea

rnin

g

Res

ou

rces

1.

Rap

papo

rt.T.

S.,

”Wire

less

Com

mun

icat

ions

: Prin

cipl

es a

nd P

ract

ice”

, 2nd

Edi

tion,

Pea

rson

, 201

1.

2.

John

D K

raus

, R

onal

d J

Mar

hefk

a, A

hmed

S K

han

“Ant

enna

and

Wav

e Pr

opag

atio

n”, 4

th E

ditio

n, T

ata

McG

raw

Hill,

201

0

3.

Con

stan

tine

Bala

nis.

A, “

Ante

nna

Theo

ry: A

naly

sis

and

Des

ign”

, 3rd

Edi

tion,

Joh

n W

iley,

201

2.

4.

Andr

eas.

F.M

olis

ch.,

"Wire

less

Com

mun

icat

ions

", W

iley,

2nd

Edi

tion-

2005

, Rep

rint-2

014

5.

Andr

ea G

olds

mith

, “ W

irele

ss C

omm

unic

atio

ns”,

Cam

brid

ge U

nive

rsity

Pre

ss, A

ug 2

005

6.

Schi

ller,

"Mob

ile C

omm

unic

atio

ns",

Pear

son

Educ

atio

n As

ia L

td.,

Rep

rint 2

012

7.

Lee

W.C

.Y.,

" Mob

ile C

omm

unic

atio

ns E

ngin

eerin

g: T

heor

y an

d Ap

plic

atio

ns",

McG

raw

Hill,

New

Yor

k,

2nd

Editi

on, 1

998

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

Sand

eep

Kum

ar P

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

T. R

amar

ao, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

35

Co

urs

e C

od

e

18

EC

C30

2J

Co

urs

e N

ame

Mic

row

ave

& O

ptic

al C

omm

unic

atio

ns

Co

urs

e C

ateg

ory

C

P

rofe

ssio

nal

Co

re

L T

P

C

3 0

2 4

Pre

-req

uis

ite

Co

urs

es

18EC

C20

5J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

18

ECE2

26T

& 18

ECE3

23T

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Iden

tify

Mic

row

ave

activ

e de

vice

s an

d M

icro

wav

e ge

nera

tors

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Anal

yze

Mic

row

ave

pass

ive

devi

ces





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Expl

ore

Mic

row

ave

Mea

sure

men

ts

CL

R-4

:

Anal

yze

Opt

ical

Fib

ers

Opt

ical

Sou

rces

, Am

plifi

er a

nd T

rans

mitt

er O

ptic

al D

etec

tors

, R

ecei

ver a

nd P

erfo

rman

ce

Mea

sure

men

ts

CL

R-5

:

Expl

ore

Opt

ical

Com

mun

icat

ion

Syst

em D

esig

n an

d C

once

pts

CL

R-6

:

Anal

yze

Mic

row

ave

and

optic

al c

ompo

nent

s

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Acq

uire

kno

wle

dge

on th

e th

eory

of m

icro

wav

e tr

ansm

issi

on, m

icro

wav

e ge

nera

tors

and

ass

ocia

ted

com

pone

nts.

2

80

70

H

-

- L

- -

- -

- -

- -

- -

L C

LO

-2 :

A

naly

se m

icro

wav

e pa

ssiv

e de

vice

s an

d co

mpo

nent

s.

2 80

70

H

M

H

H

- -

- -

- -

- -

L -

M

CL

O-3

:

Und

erst

and

mic

row

ave

mea

sure

men

ts a

nd a

ssoc

iate

d te

chni

ques

with

equ

ipm

ent

2 80

70

H

M

H

M

- -

- -

- -

- -

M

- H

C

LO

-4 :

F

amili

ariz

e w

ith th

e fu

ndam

enta

ls o

f lig

ht tr

ansm

issi

on th

roug

h fib

er

2 80

70

H

H

- M

-

- -

- -

- -

- L

- L

CL

O-5

:

Des

ign

a ba

sic

optic

al c

omm

unic

atio

n sy

stem

. 2

80

70

H

H

-

H

- -

- -

- -

- -

M

- M

CL

O-6

: U

nder

stan

d th

e w

orki

ng p

rinci

ple

of m

icro

wav

e co

mpo

nent

s , M

icro

wav

e m

easu

rem

ents

, opt

ical

sou

rces

, det

ecto

r an

d fib

ers

2 80

70

H

H

H

H

- -

- -

- -

- -

M

- H

Du

rati

on

(h

ou

r)

15

15

15

15

15

S-1

S

LO

-1

Intr

oduc

tion

to m

icro

wav

es a

nd o

ptic

al

com

mun

icat

ions

Hig

h fr

eque

ncy

para

met

ers:

S p

aram

eter

s an

d S

mat

rix a

naly

sis

for

N-p

ort m

icro

wav

e de

vice

Im

peda

nce

mat

chin

g.

Ele

men

ts o

f Opt

ical

fibe

r co

mm

unic

atio

n P

oint

-to-

Poi

nt li

nk –

Ana

log

syst

em d

esig

n co

nsid

erat

ions

and

des

ign

step

s S

LO

-2

S-2

S

LO

-1

His

tory

of M

icro

wav

e E

ngin

eerin

g,

Mic

row

ave

tran

smis

sion

and

App

licat

ions

; M

axw

ell E

quat

ions

D

irect

iona

l cou

pler

V

SW

R a

nd Im

peda

nce

mea

sure

men

t F

unct

iona

l blo

ck d

iagr

am o

f a T

rans

mitt

er

and

rece

iver

mod

ule

Poi

nt-t

o-P

oint

link

– D

igita

l sys

tem

des

ign

cons

ider

atio

ns a

nd d

esig

n st

eps

SL

O-2

S-3

S

LO

-1

Mic

row

ave

Tub

es

E a

nd H

pla

ne T

ee

Mea

sure

men

t of P

ower

O

ptic

al fi

ber

stru

ctur

e, L

ight

Pro

paga

tion

in

Opt

ical

fibe

rs: R

ay th

eory

, T

otal

Inte

rnal

re

flect

ion,

Ske

w r

ays

Dig

ital L

ink

Des

ign:

Lin

k po

wer

bud

get

SL

O-2

K

lyst

ron

ampl

ifier

S-4

-5

SL

O-1

L

ab-

1 C

har

acte

rist

ics

of

Ref

lex

Kly

stro

n

Lab

- 4

Gai

n a

nd

rad

iati

on

pat

tern

of

Ho

rn a

nte

nn

a L

ab-

7 P

ract

ice

sess

ion

L

ab-

10 M

easu

rem

ent

of

Nu

mer

ical

A

per

ture

, pro

pag

atio

n a

nd

ben

din

g

loss

es o

f o

pti

cal f

iber

Lab

- 13

Des

ign

of

bas

ic O

pti

cal

Co

mm

un

icat

ion

sys

tem

usi

ng

co

mp

uta

tio

nal

to

ol

SL

O-2

S-6

S

LO

-1

Ref

lex

Kly

stro

n os

cilla

tors

M

agic

Tee

M

easu

rem

ent o

f F

requ

ency

and

Q fa

ctor

O

ptic

al S

ourc

es: L

ight

sou

rce

mat

eria

ls,

LED

Str

uctu

res

Ris

e tim

e bu

dget

S

LO

-2

S-7

S

LO

-1

Mag

netr

on o

scill

ator

s M

icro

wav

e C

ircul

ator

s, Is

olat

ors

Inse

rtio

n lo

ss m

easu

rem

ents

LE

D C

hara

cter

istic

s O

verv

iew

of A

nalo

g lin

ks: R

adio

ove

r F

iber

; S

LO

-2

S-8

S

LO

-1

Mic

row

ave

Bip

olar

Tra

nsis

tors

F

ield

eff

ect

tran

sist

or

Atte

nuat

ors

and

Pha

se S

hifte

rs

Atte

nuat

ion

mea

sure

men

ts

Sem

icon

duct

or L

aser

Dio

de, L

aser

C

hara

cter

istic

s K

ey li

nk p

aram

eter

s S

LO

-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

36

S-9

-10

SL

O-1

L

ab-

2 S

tud

y o

f p

ow

er d

istr

ibu

tio

n in

D

irec

tio

nal

co

up

ler,

E p

lan

e, H

pla

ne

and

Mag

ic T

ee

Lab

- 5

Ch

arac

teri

stic

s o

f fi

lter

s,

Mic

rost

rip

pat

ch a

nte

nn

a an

d p

aral

lel

line

cou

ple

r

Lab

- 8

DC

ch

arac

teri

stic

s o

f L

ED

an

d

Las

er d

iod

e L

ab-

11 A

nal

ysis

of

An

alo

g o

pti

cal l

ink

Lab

- 14

Pra

ctic

e S

essi

on

S

LO

-2

S-1

1 S

LO

-1

IMP

AT

T, T

RA

PA

TT

and

Tun

nel d

iode

R

ecta

ngul

ar W

aveg

uide

s M

easu

rem

ent o

f Sca

tterin

g pa

ram

eter

s O

ptic

al D

etec

tors

: PIN

and

AP

D p

hoto

de

tect

or

Mul

ticha

nnel

Sys

tem

: Nee

d fo

r m

ultip

lexi

ng

SL

O-2

O

pera

tiona

l prin

cipl

es o

f WD

M, D

WD

M

S-1

2 S

LO

-1

Gun

n di

ode

Rec

tang

ular

Wav

egui

des

Mea

sure

men

t of S

catte

ring

para

met

ers

Res

pons

ivity

and

effi

cien

cy o

f AP

D

WD

M C

ompo

nent

s: C

oupl

er/S

plitt

er, F

abry

P

erot

Filt

er

SL

O-2

S-1

3 S

LO

-1

Gun

n O

scill

atio

n m

odes

P

ower

Div

ider

s F

unct

ioni

ng d

etai

ls o

f Vec

tor

Net

wor

k A

naly

zer;

Sig

nal A

naly

zer;

Spe

ctru

m

anal

yzer

s F

iber

atte

nuat

ion

and

disp

ersi

on

WD

M C

ompo

nent

s: O

ptic

al M

EM

S

switc

hes

SL

O-2

S-1

4-15

SL

O-1

L

ab-

3 Im

ped

ance

mea

sure

men

t b

y sl

ott

ed li

ne

met

ho

d

Lab

- 6

Des

ign

of

RF

Filt

ers

and

A

mp

lifie

r u

sin

g c

om

pu

tati

on

al t

oo

l L

ab-

9 D

C c

har

acte

rist

ics

of

PIN

an

d

AP

D p

ho

to-d

iod

e L

ab-

12 A

nal

ysis

of

Dig

ital

op

tica

l lin

k

Lab

- 15

Stu

dy

exp

erim

ent

- G

un

n D

iod

e (M

icro

wav

e) a

nd

Op

tica

l WD

MA

(O

pti

cal)

S

LO

-2

Lea

rnin

g

Res

ou

rces

1.

Dav

id M

. Poz

ar, “

Mic

row

ave

Eng

inee

ring”

, 4th

Edi

tion,

Joh

n W

iley

& S

ons,

201

2.

2.

Dav

id M

. Poz

ar, “

Mic

row

ave

& R

F D

esig

n of

Wire

less

Sys

tem

s”, J

ohn

Wile

y &

Son

s, 2

001.

3.

S

amue

l Y. L

iao,

“M

icro

wav

e D

evic

es a

nd C

ircui

ts”,

3rd

Edi

tion,

Pea

rson

Edu

catio

n, 2

013.

4.

R

ober

t. E

. Col

lin, “

Fou

ndat

ions

for

Mic

row

ave

Eng

inee

ring”

, 2nd

edi

tion,

Wile

y, R

eprin

t 201

4.

5.

Ann

apur

na D

as, S

isir

K. D

as, “

Mic

row

ave

Eng

inee

ring”

, 3rd

Ed.

, McG

raw

Hill

, 201

5.

6.

I. H

unte

r, “

The

ory

and

desi

gn o

f mic

row

ave

filte

rs”,

The

Inst

itutio

n of

Eng

inee

ring

&T

echn

olog

y,

2001

. 7.

K

eise

r G

, “O

ptic

al F

iber

Com

mun

icat

ion

Sys

tem

s”, 5

th E

ditio

n, 6

th R

eprin

t, M

cGra

w H

ill

Edu

catio

n (I

ndia

), 2

015.

8.

Viv

ekan

and

Mis

hra,

Sun

ita P

. Uga

le, “

Fib

er O

ptic

Com

mun

icat

ion:

Sys

tem

s an

d C

ompo

nent

s”, W

iley-

Indi

a,

1st e

ditio

n, 2

013

9.

Dja

far.

K. M

ynba

ev a

nd L

owel

l and

Sch

eine

r, “

Fib

er O

ptic

Com

mun

icat

ion

Tec

hnol

ogy”

, Pea

rson

Edu

catio

n A

sia,

9th

impr

essi

on, 2

013

10.

John

M. S

enio

r, “

Opt

ical

fibe

r C

omm

unic

atio

ns: P

rinci

ples

and

Pra

ctic

e”, P

ears

on E

duca

tion,

3rd

Edi

tion,

20

09

11.

R.P

. Kha

re, “

Fib

er O

ptic

s an

d O

ptoe

lect

roni

cs”,

Oxf

ord

Uni

vers

ity P

ress

, 200

7.

12.

12. R

ajiv

Ram

asw

ami,

Kum

ar N

. Siv

aran

jan,

Gal

en H

.Sas

aki "

Opt

ical

Net

wor

ks A

pra

ctic

al p

ersp

ectiv

e",

3nd

editi

on, 2

013

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. S

ande

ep K

umar

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

T. R

amar

ao, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

37

Co

urs

e C

od

e 18

EC

C30

3J

Co

urs

e N

ame

Com

pute

r C

omm

unic

atio

n N

etw

orks

C

ou

rse

Cat

ego

ry

C

Prof

essi

onal

Cor

e L

T

P

C

3 0

2 4

P

re-r

equ

isit

e C

ou

rses

18

CSS

101J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

E320

T

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Intro

duce

the

basi

c co

ncep

ts in

the

field

of c

ompu

ter n

etw

orks

.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

func

tiona

l asp

ects

of O

SI m

odel

arc

hite

ctur

e.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Acqu

ire k

now

ledg

e of

the

Net

wor

k La

yer p

roto

cols

C

LR

-4 :

An

alyz

e th

e va

rious

issu

es a

nd c

halle

nges

of T

rans

port

Laye

r.

CL

R-5

:

Fam

iliariz

e th

e va

rious

App

licat

ion

Laye

r Pro

toco

ls.

CL

R-6

: U

tiliz

e th

e ne

twor

king

con

cept

s to

ana

lyze

the

perfo

rman

ce o

f Rou

ting

prot

ocol

s.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expr

ess

the

basi

c se

rvic

es a

nd c

once

pts

rela

ted

to in

tern

etw

orki

ng.

1 60

65

- -

- -

- -

H

- -

- -

M

- -

- C

LO

-2 :

Ex

plai

n th

e ba

sic

OSI

mod

el a

rchi

tect

ure

and

its lo

wer

laye

r fun

ctio

ns.

1 60

65

- -

M

- -

- L

- -

- -

- -

- H

C

LO

-3 :

Ill

ustra

te th

e va

rious

Net

wor

k La

yer c

once

pts,

mec

hani

sms

and

prot

ocol

s.

2 65

65

- -

H

- -

L M

-

- -

- -

- -

- C

LO

-4 :

D

escr

ibe

the

serv

ices

and

tech

niqu

es o

f Tra

nspo

rt La

yer.

1 60

65

- -

- -

- -

M

- -

- -

- -

- H

C

LO

-5 :

D

iscu

ss th

e va

rious

ser

vice

s an

d pr

otoc

ols

in A

pplic

atio

n La

yer.

1 60

65

- -

M

- -

- -

- -

- -

- -

- H

C

LO

-6 :

An

alyz

e th

e va

rious

Net

wor

king

con

cept

s an

d R

outin

g pr

otoc

ols.

2

60

65

-

- -

- L

- -

- -

- -

M

- -

H

Du

rati

on

(h

ou

r)

DA

TA

CO

MM

UN

ICA

TIO

N &

N

ET

WO

RK

ING

BA

SIC

S

OS

I LO

WE

R L

AY

ER

S

NE

TW

OR

K L

AY

ER

T

RA

NS

PO

RT

LA

YE

R

AP

PL

ICA

TIO

N L

AY

ER

15

15

15

15

15

S-1

S

LO

-1

Intr

oduc

tion

to D

ata

Com

mun

icat

ion

and

Net

wor

king

N

etw

ork

mod

els

In

trodu

ctio

n to

Net

wor

k La

yer

Intro

duct

ion

to T

rans

port

Laye

r In

trodu

ctio

n to

App

licat

ion

Laye

r

SL

O-2

D

ata

tran

sfer

mod

es-S

eria

l and

Par

alle

l tr

ansm

issi

on

OS

I lay

er a

rchi

tect

ure

Nee

d fo

r In

tern

etw

orki

ng

TCP/

IP M

odel

Ap

plic

atio

n La

yer P

arad

igm

s

S-2

S

LO

-1

Pro

toco

ls &

Sta

ndar

ds

Dat

a Li

nk L

ayer

-Int

rodu

ctio

n Ad

dres

sing

-Cla

ssfu

l U

ser D

atag

ram

Pro

toco

l(UD

P)

Clie

nt S

erve

r Int

erac

tion

SL

O-2

La

yere

d A

rchi

tect

ure

Li

nk L

ayer

Add

ress

ing

Addr

essi

ng-C

lass

ful

Use

r Dat

agra

m P

roto

col(U

DP)

C

lient

Ser

ver I

nter

actio

n

S-3

S

LO

-1

Prin

cipl

es o

f Lay

erin

g &

Des

crip

tion

Err

or D

etec

tion

Ad

dres

sing

-Cla

ssle

ss

Tran

smis

sion

Con

trol P

roto

col(T

CP)

SI

P

SL

O-2

B

rief d

escr

iptio

n o

f con

cept

s in

OS

I &

T

CP

/IP m

odel

E

rror

Det

ectio

n

Addr

essi

ng-C

lass

less

Tr

ansm

issi

on C

ontro

l Pro

toco

l(TC

P)

SIP

S

4-5

SL

O-1

L

ab 1

:To

bu

ild a

nd

co

nfi

gu

re a

sim

ple

n

etw

ork

of

fou

r n

od

es c

on

nec

ted

wit

h

po

int-

to-p

oin

t lin

ks.

Lab

4:

To

sim

ula

te t

oke

n r

ing

pro

toco

l an

d t

o s

tud

y it

s p

erfo

rman

ce.

Lab

7:T

o s

imu

late

CS

MA

/CA

pro

toco

l an

d t

o s

tud

y it

s p

erfo

rman

ce

Lab

10:

Imp

lem

enta

tio

n a

nd

stu

dy

of

Sel

ecti

ve R

epea

t p

roto

col.

Lab

13:

Cre

ate

a S

ock

et (

TC

P&

UD

P)

bet

wee

n t

wo

co

mp

ute

rs a

nd

en

able

file

tr

ansf

er b

etw

een

th

em.

SL

O-2

S-6

S

LO

-1

Sw

itchi

ng T

ypes

- C

ircui

t- &

Pac

ket

switc

hing

E

rror

Cor

rect

ion

Net

wor

k La

yer P

roto

col-I

PV4

TCP

Serv

ices

& F

eatu

res

Com

pres

sion

Tec

hniq

ues

SL

O-2

S

witc

hing

Typ

es-

Mes

sage

sw

itchi

ng,

Com

paris

on o

f sw

itchi

ng ty

pes

Err

or C

orre

ctio

n In

tern

et P

roto

col(I

P)-IP

V4

TCP

Serv

ices

& F

eatu

res

Com

pres

sion

Tec

hniq

ues

S-7

S

LO

-1

LAN

, MA

N &

WA

N

Dat

a lin

k co

ntro

l-LLC

In

tern

et P

roto

col(I

P)-IP

V6

Con

gest

ion

Con

trol

Intro

duct

ion

to C

rypt

ogra

phy

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

38

SL

O-2

LA

N, M

AN

& W

AN

D

ata

link

cont

rol-L

LC

Inte

rnet

Pro

toco

l(IP)

-IPV6

C

onge

stio

n C

ontro

l Ty

pes,

Atta

cks

and

Serv

ices

S-8

S

LO

-1

Net

wor

k to

polo

gies

-Typ

es

Dat

a lin

k co

ntro

l-MA

C

Rou

ting

Prot

ocol

s- D

ista

nce

Vect

or&

Link

St

ate

Con

gest

ion

Con

trol

DES

SL

O-2

C

ompa

rison

of t

opol

ogie

s D

ata

link

cont

rol-M

AC

R

outin

g Is

sues

-Del

iver

y, F

orw

ardi

ng a

nd

Rou

ting

Con

gest

ion

Con

trol

DES

S

9-10

SL

O-1

L

ab 2

: T

o s

imu

late

sta

r an

d b

us

net

wo

rk

top

olo

gie

s.

Lab

5:I

mp

lem

enta

tio

n o

f E

rro

r d

etec

tio

n

and

Co

rrec

tio

n s

chem

e.

Lab

8:

Imp

lem

enta

tio

n a

nd

stu

dy

of

sto

p a

nd

wai

t p

roto

cols

L

ab 1

1: T

o c

on

fig

ure

a n

etw

ork

usi

ng

L

ink

Sta

te R

ou

tin

g p

roto

col .

L

ab 1

4: Im

ple

men

tati

on

of

Dat

a E

ncr

ypti

on

an

d D

ecry

pti

on

. S

LO

-2

S-1

1 S

LO

-1

IEEE

sta

ndar

ds fo

r LAN

-Eth

erne

t Fl

ow &

Erro

r Con

trol P

roto

col

Rou

ting

Info

rmat

ion

Pro

toco

l-RIP

Q

OS-

Qua

lity

of S

ervi

ce

RSA

SL

O-2

Ty

pes

of E

ther

net

Flow

& E

rror C

ontro

l Pro

toco

l R

outin

g In

form

atio

n P

roto

col-R

IP

QO

S-Q

ualit

y of

Ser

vice

R

SA

S-1

2 S

LO

-1

Toke

n Bu

s AR

Q S

chem

es

Ope

n Sh

orte

st P

ath

Firs

t-OSP

F Te

chni

ques

to im

prov

e Q

OS

Emai

l

SL

O-2

To

ken

Rin

g AR

Q S

chem

es

Ope

n Sh

orte

st P

ath

Firs

t-OSP

F Te

chni

ques

to im

prov

e Q

OS

FT

P

S-1

3 S

LO

-1

FDD

I H

DLC

Bo

rder

Gat

eway

Pro

toco

l-BG

P Te

chni

ques

to im

prov

e Q

OS

HTT

P

SL

O-2

FD

DI

HD

LC

Bord

er G

atew

ay P

roto

col-B

GP

Tech

niqu

es to

impr

ove

QO

S SN

MP

S

14-1

5

SL

O-1

L

ab 3

:To

sim

ula

te t

oke

n b

us

pro

toco

l an

d t

o s

tud

y it

s p

erfo

rman

ce.

Lab

6:T

o s

imu

late

CS

MA

/CD

pro

toco

l an

d t

o s

tud

y it

s p

erfo

rman

ce

Lab

9:

Imp

lem

enta

tio

n a

nd

stu

dy

of

Go

b

ack

N p

roto

col.

Lab

12:

To

co

nfi

gu

re a

net

wo

rk u

sin

g

Dis

tan

ce V

ecto

r R

ou

tin

g p

roto

col.

Lab

15:

Min

i Pro

ject

S

LO

-2

Lea

rnin

g

Res

ou

rces

1.

Beh

rouz

A.F

ehro

uzan

, “D

ata

com

mun

icat

ion

& N

etw

orki

ng”,

Mc-

Gra

w H

ill, 5

th E

ditio

n R

eprin

t, 2 0

14.

2.

And

rew

S.T

anen

baum

, “C

ompu

ter

Net

wor

ks”,

Pea

rson

Edu

catio

n In

dia,

5th

Edi

tion,

201

3.

3.

Will

iam

Sta

lling

s, “

Dat

a &

Com

pute

r C

omm

unic

atio

n”, P

ears

on E

duca

tion

Indi

a, 1

0th E

ditio

n, 2

014.

4.

Ja

mes

F. K

uros

e, K

eith

W. R

oss,

“C

ompu

ter

Net

wor

king

: A T

op–D

own

App

roac

h F

eatu

ring

the

Inte

rnet

”,

Pea

rson

Edu

catio

n,6th

Edi

tion,

201

3.

5 .

“Lab

Man

ual”

, Dep

artm

ent o

f EC

E, S

RM

Inst

itute

of S

cien

ce a

nd T

echn

olog

y

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Ms.

T. R

amya

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

39

Cou

rse

C

ode

18E

CC

350T

C

ours

e N

ame

CO

MP

RE

HE

NS

ION

C

ours

e

Cat

egor

y C

P

rofe

ssio

nal C

ore

L

T

P

C

0 1

0 1

Pre

-req

uisi

te

Cou

rses

N

IL

Co-

requ

isite

C

ours

es

NIL

P

rogr

essi

ve C

ours

es

NIL

Cou

rse

Offe

ring

Dep

artm

ent

Ele

ctro

nics

and

Com

mun

icat

ion

Eng

inee

ring

Dat

a B

ook

/ Cod

es/S

tand

ards

N

il C

ours

e Le

arni

ng R

atio

nale

(C

LR):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lear

ning

Pro

gram

Lea

rnin

g O

utco

mes

(P

LO)

CLR

-1 :

Acq

uire

ski

lls to

sol

ve re

al w

orld

pro

blem

s in

Ana

log

and

Dig

ital E

lect

roni

cs (D

iscr

ete

& IC

)

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CLR

-2 :

Acq

uire

ski

lls to

sol

ve re

al w

orld

pro

blem

s in

Ana

log

and

Dig

ital C

omm

unic

atio

n





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO - 1

PSO - 2

PSO - 3

CLR

-3 :

Acq

uire

ski

lls to

sol

ve re

al w

orld

pro

blem

s in

Sig

nals

& S

yste

ms,

and

DSP

C

LR-4

: A

cqui

re s

kills

to s

olve

real

wor

ld p

robl

ems

in M

icro

proc

esso

rs &

Mic

roco

ntro

llers

, and

VLS

I Des

ign

CLR

-5 :

Acq

uire

ski

lls to

sol

ve re

al w

orld

pro

blem

s in

Ele

ctro

mag

netic

s an

d Tr

ansm

issi

on L

ines

CLR

-6 :

Acq

uire

ski

lls to

sol

ve re

al w

orld

pro

blem

s in

Mic

row

ave

and

Opt

ical

Com

mun

icat

ions

Cou

rse

Lear

ning

Out

com

es

(CLO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CLO

-1 :

Prac

tice

and

gain

con

fiden

ce a

nd c

ompe

tenc

e to

sol

ve p

robl

ems

in A

nalo

g an

d D

igita

l Ele

ctro

nics

(Dis

cret

e &

IC)

3 85

80

H

H

H

L L

L L

L L

L L

L M

L

M

CLO

-2 :

Prac

tice

and

gain

con

fiden

ce a

nd c

ompe

tenc

e to

sol

ve p

robl

ems

in A

nalo

g an

d D

igita

l Com

mun

icat

ion

3 85

80

H

H

M

L L

L L

L L

L L

L M

M

M

C

LO-3

: Pr

actic

e an

d ga

in c

onfid

ence

and

com

pete

nce

to s

olve

pro

blem

s in

Sig

nals

& S

yste

ms,

and

DSP

3

85

80

H

H

M

L

L L

L L

L L

L L

M

L M

C

LO-4

: Pr

actic

e an

d ga

in c

onfid

ence

and

com

pete

nce

to s

olve

pro

blem

s in

Mic

ropr

oces

sors

& M

icro

cont

rolle

rs, a

nd V

LSI D

esig

n 3

85

80

H

H

M

L

L L

L L

L L

L L

M

M

M

CLO

-5 :

Prac

tice

and

gain

con

fiden

ce a

nd c

ompe

tenc

e to

sol

ve p

robl

ems

in E

lect

rom

agne

tics

and

Tran

smis

sion

Lin

es

3 85

80

H

H

H

L L

L L

L L

L L

L M

L

M

CLO

-6 :

Prac

tice

and

gain

con

fiden

ce a

nd c

ompe

tenc

e to

sol

ve p

robl

ems

in M

icro

wav

e an

d O

ptic

al C

omm

unic

atio

ns

3 85

80

H

H

M

L L

L L

L L

L L

L M

M

M

D

urat

ion

(hou

r)

3 3

3 3

3

S-1

S

LO-1

T

uto

rial

on

Ana

log

Elec

troni

cs (D

iscr

ete

& IC

) T

uto

rial

on

Dig

ital

Co

mm

un

icat

ion

T

uto

rial

on

Mic

rop

roce

sso

rs &

In

terf

acin

g

Tu

tori

al o

n T

ran

smis

sio

n L

ines

T

uto

rial

on

Op

tica

l Co

mm

un

icat

ion

SLO

-2

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Prob

lem

Sol

ving

S-2

S

LO-1

T

uto

rial

on

Dig

ital

Ele

ctro

nic

s T

uto

rial

on

Sig

nal

s an

d S

yste

ms

Tu

tori

al o

n M

icro

con

tro

llers

&

Inte

rfac

ing

T

uto

rial

on

VL

SI D

esig

n

Mod

el T

est

SLO

-2

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Mod

el T

est

S-3

S

LO-1

T

uto

rial

on

An

alo

g C

om

mu

nic

atio

n

Tu

tori

al o

n D

igit

al S

ign

al P

roce

ssin

g

Tu

tori

al o

n E

lect

rom

agn

etic

s T

uto

rial

on

Mic

row

ave

Co

mm

un

icat

ion

Fi

nal T

est

SLO

-2

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Fina

l Tes

t Le

arni

ng

Res

ourc

es

1. R

.S.K

hurm

i, J.

K.G

upta

, Mec

hani

cal E

ngin

eerin

g: C

onve

ntio

nal a

nd O

bjec

tive

Type

s, S

.Cha

nd &

Co.

, 20

18

2. R

.K.J

ain,

Con

vent

iona

l & O

bjec

tive

Type

Que

stio

n &

Answ

ers

on M

echa

nica

l Eng

inee

ring

for C

ompe

titio

ns,

Khan

na P

ublis

hers

, 201

4 Le

arni

ng A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r -

40%

-

30%

-

30%

-

30%

-

30%

U

nder

stan

d

Leve

l 2

App

ly

- 40

%

- 40

%

- 40

%

- 40

%

- 40

%

Ana

lyze

Leve

l 3

Eva

luat

e -

20%

-

30%

-

30%

-

30%

-

30%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

40

Cou

rse

Des

igne

rs

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

M

r. M

anik

anda

n AV

M, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

D

r. V.

Nith

ya, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

41

B. T

ech

in E

lect

ron

ics

and

Co

mm

un

icat

ion

En

gin

eeri

ng

2018

Reg

ula

tio

ns

P

rofe

ssio

nalE

lect

ive

Cou

rses

(E

)

D

epar

tmen

t of E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g S

RM

Inst

itute

of S

cien

ce a

nd T

echn

olog

y S

RM

Nag

ar, K

atta

nkul

athu

r –

6032

03, K

anch

eepu

ram

Dis

tric

t, T

amiln

adu

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

42

Co

urs

e C

od

e 18

EC

E20

1J

Co

urs

e N

ame

PY

TH

ON

AN

D S

CIE

NT

IFIC

PY

TH

ON

C

ou

rse

Cat

ego

ry

E P

rofe

ssio

nal E

lect

ive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

andi

ng th

e py

thon

lang

uage

con

stru

ct a

nd a

pply

them

for s

cien

tific

com

puta

tion

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Appl

y py

thon

vec

tor ,

list a

nd p

lot c

once

pt to

sol

ve c

urve

fitti

ng





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Appl

ying

Dic

tiona

ry c

once

pt t

o m

odel

Pol

ynom

ials

CL

R-4

:

Cre

ate

insi

ghts

to d

iffer

ence

equ

atio

n ba

sed

syst

em m

odel

and

sol

ving

them

with

pyt

hon

CL

R-5

:

Anal

yze

Mon

te C

arlo

Sim

ulat

ion

for c

ompu

ting

Prob

abilit

ies

CL

R-6

:

Cre

ate

insi

ghts

to th

e co

ncep

ts a

nd p

rogr

amm

ing

of S

ciPy

, num

py, m

atpl

otlib

to

solv

e sc

ient

ific

prob

lem

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Res

tate

pyt

hon

lang

uage

to c

ompu

te fo

rmul

a an

d sc

ient

ific

prob

lem

1

60

60

H

-

- -

M

- -

- -

- -

- -

- L

CL

O-2

:

Tran

slat

e m

athe

mat

ical

mod

els

and

syst

em u

sing

diff

eren

ce e

quat

ions

1

60

60

H

M

-

- M

-

- -

- -

- -

- -

L C

LO

-3 :

Ex

amin

e ti

me

sequ

ence

con

cept

for g

ener

atio

n an

d pr

oces

sing

of a

udio

sig

nal b

y py

thon

2

60

60

M

-

- H

M

-

- -

- -

- -

- -

M

CL

O-4

:

Dem

onst

rate

pyt

hon

lang

uage

to s

olve

Poly

nom

ials

2 60

60

M

H

- -

M

- -

- -

- -

- -

- L

CL

O-5

:

Appl

y py

thon

lang

uage

con

stru

ct t

o co

mpu

te p

roba

bilit

y by

Mon

te C

arlo

Sim

ulat

ion

,gam

e de

sign

and

dyn

amic

rand

om

mot

ion

crea

tion

2

60

60

H

-

H

- M

-

- -

- -

- -

- -

H

CL

O-6

:

Solv

e st

atis

tical

ana

lysi

s , c

orre

latio

n co

effic

ient

ana

lysi

s , S

olvi

ng e

quat

ions

-Lin

ear l

east

squ

ares

sol

utio

ns a

nd s

igna

l pr

oces

sing

pro

blem

s us

ing

SciP

y, n

umpy

, mat

plot

lib

2 60

60

- M

-

- H

-

- -

- -

- -

- -

H

Du

rati

on

(h

ou

r)

So

lvin

g S

imp

le F

orm

ula

An

d S

cien

tifi

c P

rob

lem

P

lots

, Arr

ay a

nd

Dif

fere

nce

Eq

uat

ion

M

od

ellin

g

File

I/O

, Po

lyn

om

ials

an

d W

eb

Pro

gra

mm

ing

R

and

om

Pro

cess

an

d G

ame

Pro

gra

mm

ing

S

ciP

y ,N

um

py

and

Sig

nal

Pro

cess

ing

12

12

12

12

12

S-1

SL

O-1

C

ompu

ting

with

For

mul

as- U

sing

a

Prog

ram

as

a C

alcu

lato

r

Vect

ors,

Mat

hem

atic

al O

pera

tions

on

Vect

ors,

Vect

or A

rithm

etic

s an

d Ve

ctor

Fu

nctio

n

Rea

ding

Dat

a fro

m F

ile-L

ine

by

Line

,Rea

ding

a M

ixtu

re o

f Tex

t and

N

umbe

rs

Dra

win

g R

ando

m N

umbe

rs-U

nifo

rmly

D

istri

bute

d R

ando

m N

umbe

rs

SciP

y, n

umpy

,mat

plot

lib

SL

O-2

U

sing

Var

iabl

es,F

orm

attin

g Te

xt a

nd

Num

bers

Ar

rays

in P

ytho

n Pr

ogra

ms-

Usi

ng L

ists

for

Col

lect

ing

Func

tion

Dat

a M

akin

g D

ictio

narie

s C

ompu

ting

the

Mea

n an

d St

anda

rd

Dev

iatio

n Ba

sic

arra

y m

etho

ds in

num

py,C

hang

ing

the

shap

e of

an

arra

y

S-2

SL

O-1

C

elsi

us-F

ahre

nhei

t Con

vers

ion,

C

urve

Plo

tting

-The

Sci

Tool

s an

d Ea

syvi

z Pa

ckag

es

Dic

tiona

ry O

pera

tions

Th

e G

auss

ian

or N

orm

al D

istri

butio

n-D

raw

ing

a R

ando

m E

lem

ent f

rom

a L

ist

Max

imum

and

min

imum

val

ues

SL

O-2

Ev

alua

ting

Stan

dard

Mat

hem

atic

al

Func

tions

,Typ

e C

onve

rsio

n

Plot

ting

a Si

ngle

Cur

ve,D

ecor

atin

g th

e Pl

ot,P

lotti

ng M

ultip

le C

urve

s,C

ontro

lling

Line

Sty

les

Poly

nom

ials

as

Dic

tiona

ries,

File

Dat

a in

D

ictio

narie

s,Fi

le D

ata

in N

este

d D

ictio

narie

s D

raw

ing

rand

om in

terg

er

Rea

ding

and

writ

ing

an a

rray

to a

fle

S-3

-4

SL

O-1

L

ab 1

:pro

gra

mm

ing

on

fo

rmu

la a

nd

S

tan

dar

d M

ath

emat

ical

Fu

nct

ion

s-E

valu

ate

a G

auss

ian

fu

nct

ion

,Co

mp

ute

th

e ai

r re

sist

ance

on

a f

oo

tbal

l

Lab

4:

Cur

ve P

lotti

ng

Lab

7:r

ead

ing

stu

den

t m

arks

file

into

a

dic

tio

nar

y d

ata

wit

h t

he

stu

den

t n

ame

as k

ey a

nd

co

mp

uti

ng

th

e av

erag

e g

rad

es

Lab

10:

rea

l car

d g

ames

L

ab 1

3: n

um

py

file

rea

din

g a

nd

dat

a an

alys

is

SL

O-2

S-5

S

LO

-1

Com

plex

Num

bers

,Com

plex

Arit

hmet

ic’s

in

Pyth

on

Num

eric

al P

ytho

n Ar

rays

man

ipul

atio

ns

Strin

gs-C

omm

on O

pera

tions

on

Strin

gs

Com

putin

g Pr

obab

ilitie

s-Pr

inci

ples

of

Mon

te C

arlo

Sim

ulat

ion

Stat

istic

al m

etho

ds in

num

py

SL

O-2

In

put D

ata-

Rea

ding

Key

boar

d In

put-

Rea

ding

from

the

Com

man

d Li

ne

Hig

her-D

imen

sion

al A

rrays

-Tw

o-D

imen

sion

al N

umer

ical

Pyt

hon

Arra

ys

Rea

ding

Coo

rdin

ates

Th

row

ing

Dic

e,R

ollin

g Tw

o D

ice

gam

e St

atis

tical

met

hods

in n

umpy

S-6

S

LO

-1

Mak

ing

Mod

ules

,Col

lect

ing

Func

tions

in a

M

odul

e Fi

le

Mat

rix O

bjec

ts

Rea

ding

Dat

a fro

m W

eb P

ages

-Abo

ut W

eb

Page

s D

raw

ing

Balls

from

a H

at

His

togr

ams

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

43

SL

O-2

U

sing

Mod

ules

M

athe

mat

ical

Mod

els

Base

d on

Diff

eren

ce

Equa

tions

-Inte

rest

Rat

es

Acce

ss W

eb P

ages

in P

rogr

ams-

Rea

ding

Pu

re T

ext F

iles,

Si

mpl

e G

ames

- Gue

ssin

g a

Num

ber

Solv

ing

equa

tions

-Lin

ear l

east

squ

ares

so

lutio

ns-B

eer-L

ambe

rt La

w

S-7

-8

SL

O-1

L

ab 2

: p

rog

ram

on

Mak

ing

Mo

du

les

and

u

sin

g t

hem

L

ab 5

:An

imat

ing

a F

un

ctio

n-

tem

per

atu

re o

n e

arth

Lab

8:r

ead

ing

web

tem

per

atu

re t

ext

file

in

to D

icti

on

arie

s a

nd

co

mp

uti

ng

av

erag

e T

emp

erat

ure

L

ab 1

1: S

imp

le G

ames

L

ab 1

4: t

he

corr

elat

ion

co

effi

cien

t b

etw

een

pre

ssu

re a

nd

tem

per

atu

re

SL

O-2

S-9

SL

O-1

w

hile

loop

s an

d fo

r loo

ps

the

Fact

oria

l as

a D

iffer

ence

Equ

atio

n Ex

tract

ing

Dat

a fro

m a

n H

TML

Page

R

ando

m W

alk

in O

ne S

pace

Dim

ensi

on

One

-Dim

ensi

onal

Fas

t Fou

rier T

rans

form

s

SL

O-2

Li

sts

and

list m

anip

ulat

ion

G

row

th o

f a P

opul

atio

n, P

ayba

ck o

f a

Loan

, Mak

ing

a Li

ving

from

a F

ortu

ne

Writ

ing

a Ta

ble

to F

ile,R

eadi

ng a

nd W

ritin

g Sp

read

shee

t File

s

Basi

c Im

plem

enta

tion,

vis

ualiz

atio

n an

d C

ompu

ting

Stat

istic

s of

the

Parti

cle

Posi

tions

Mat

plot

lib b

asic

s-Pl

ottin

g on

a s

ingl

e ax

es

obje

ct, s

catte

r plo

t,Bar

cha

rts a

nd p

ie

char

ts

S-1

0

SL

O-1

Lo

ops

with

Lis

t Ind

ices

,Nes

ted

List

s Lo

gist

ic G

row

th,P

rogr

amm

ing

with

Sou

nd

Writ

ing

Soun

d to

File

,Rea

ding

Sou

nd fr

om

File

,

Rep

rese

ntin

g a

Func

tion

as a

Cla

ss a

nd

man

ipul

atio

n R

ando

m W

alk

in T

wo

Spac

e D

imen

sion

s C

hoos

ing

the

Leng

th o

f the

DFT

SL

O-2

Tu

ples

,Fun

ctio

ns,L

ambd

a Fu

nctio

ns,If

Te

sts

Play

ing

Man

y N

otes

Ba

nk A

ccou

nts

as c

lass

,A C

lass

for

Solv

ing

OD

Es

Basi

c Im

plem

enta

tion,

vis

ualiz

atio

n an

d C

ompu

ting

Stat

istic

s of

the

Parti

cle

Posi

tions

Fi

lters

in S

igna

l Pro

cess

ing

S-1

1-12

SL

O-1

L

ab 3

: P

rog

ram

min

g o

n li

st a

nd

loo

ps

Lab

6:

So

un

d g

ener

ated

by

fo

rmu

la a

nd

d

iffe

ren

ce e

qu

atio

n

Lab

9:

Pro

gra

mm

ing

on

cla

ss

Lab

12:

Ran

do

m W

alk

in O

ne

Sp

ace

Dim

ensi

on

or

Tw

o S

pac

e D

imen

sio

ns

Lab

15:

Nu

mp

y si

gn

al p

roce

ssin

g

SL

O-2

Lea

rnin

g

Res

ou

rces

1.

Han

s Pe

tter L

angt

ange

n,” A

Prim

er o

n Sc

ient

ific

Prog

ram

min

g w

ith P

ytho

n”, S

prin

ger,

2000

.

2.

Chr

istia

n H

ill, “

Lear

ning

Sci

entif

ic P

rogr

amm

ing

with

Pyt

hon”

,Cam

brid

ge U

nive

rsity

Pre

ss, 2

015.

3.

Juan

Nun

ez-Ig

lesi

as, S

téfa

n va

n de

r Wal

t, an

d H

arrie

t Das

hnow

Ele

gant

Sci

Py T

e Ar

t of S

cien

tific

Pyt

hon,

O

’Rei

lly M

edia

, 201

7.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

E

xper

ts fr

om In

dust

ry

Exp

erts

from

Hig

her

Tec

hnic

al In

stitu

tions

In

tern

al E

xper

ts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. V

ijaya

kum

ar ,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

44

Co

urs

e C

od

e 18

EC

E20

2T

Co

urs

e N

ame

Mic

ro-

and

Nan

o-F

abric

atio

n T

echn

olog

ies

Co

urs

e C

ateg

ory

E

P

rofe

ssio

nal E

lect

ive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Prov

ide

lear

ners

a s

yste

mat

ic o

verv

iew

of m

icro

and

nan

o fa

bric

atio

n pr

oces

ses

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Gai

n un

ders

tand

ing

of li

thog

raph

y, e

tchi

ng a

nd io

n im

plan

tatio

n m

etho

ds to

fabr

icat

e, s

truct

ure

and

mod

ify th

e la

yer





Problem Analysis


Analysis, Design,

Research

Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Achievement PSO – 2: Project

Management Techniques PSO – 3: Analyze &

Research

CL

R-3

:

Und

erst

and

thin

film

fabr

icat

ion

tech

niqu

es in

clud

ing

PVD

and

CVD

and

to a

pply

the

know

ledg

e to

film

form

atio

n

CL

R-4

:

Appl

y th

e kn

owle

dge

of m

icro

fabr

icat

ion

tech

nolo

gy to

the

field

s of

gen

eral

mic

roel

ectro

nics

sys

tem

s

CL

R-5

:

Lear

n th

e si

gnifi

cant

adv

ance

s in

mol

ecul

ar e

ngin

eerin

g

CL

R-6

:

Emba

rk o

n bu

ildin

g m

icro

/ nan

o st

ruct

ures

app

licab

le to

thei

r nee

ds.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Exam

ine

the

vario

us la

yerin

g Te

chno

logi

es

2 80

70

H

- -

- -

- -

- -

- -

- M

-

C

LO

-2 :

Sh

ow h

ow th

e pa

ttern

gen

erat

ion

is d

one

usin

g Li

thog

raph

y Te

chni

ques

2

85

75

H

-

M

- -

- -

- -

- -

- M

-

CL

O-3

:

Illus

trate

the

know

ledg

e on

par

ticle

sou

rces

, Opt

ics

and

Inte

ract

ion

2 75

70

H

- M

-

- -

- -

- -

- -

- -

H

CL

O-4

:

Expl

ain

the

devi

ce a

nd c

ircui

t fab

ricat

ion

Tech

niqu

es

2 85

80

H

M

-

- -

- -

- -

- -

- -

H

CL

O-5

:

Infe

r abo

ut n

ew a

nd a

dvan

ces

in fa

bric

atio

n Te

chno

logi

es

2 85

75

H

- -

- -

- -

M

- -

- M

-

- H

CL

O-6

:

Exam

ine

the

limita

tions

and

tool

s of

mic

ro, n

anof

abric

atio

n.

2 80

70

H

- -

- -

- -

- -

- -

L M

-

H

Du

rati

on

(h

ou

r)

Cry

stal

Gro

wth

, Ep

itax

y, O

xid

atio

n

Lit

ho

gra

ph

ic P

roce

sses

D

epo

siti

on

, Dif

fusi

on

, Io

n im

pla

nta

tio

n

Dev

ice

Cir

cuit

Fab

rica

tio

n

Mo

lecu

lar

Nan

ote

chn

olo

gy

9

9

9

9

9

S-1

S

LO

-1

Sta

rtin

g M

ater

ials

Ph

otor

eact

ive

Mat

eria

ls

Vacc

um E

vapo

ratio

n Is

olat

ion

Dire

cted

Sel

f Ass

embl

y

SL

O-2

G

row

th fr

om M

elt (

Czo

chra

lski

Tec

hniq

ue)

Imag

e R

ever

sal

Sput

ter D

epos

ition

Se

lf Al

ignm

ent

Dev

ice

Asse

mbl

y

S-2

S

LO

-1

Con

side

ratio

ns fo

r P

aper

Cry

stal

Gro

wth

Pa

ttern

Gen

erat

ion

Che

mic

al V

apou

r Dep

ositi

on

Loca

l Oxi

datio

n-Tr

ench

Tec

hniq

ue

Elec

trost

atic

SL

O-2

C

ysta

l Orie

ntat

ion,

Cry

stal

har

deni

ng

Tec

hniq

ues

Mas

k M

akin

g G

row

th H

abit

Pla

nariz

atio

n Te

mpl

ated

sel

f ass

embl

y

S-3

S

LO

-1

Dop

ing,

Dis

loca

tion

Patte

rn T

rans

fer

Fim

s fo

r pro

tect

ion

& M

asks

M

etal

izat

ion

Col

loid

s &

Nan

opar

ticle

s

SL

O-2

M

olec

ular

Bea

m E

pita

xy

Opt

ical

Prin

ting

Self-

alig

ned

Mas

ks

Get

terin

g Bl

ock

Cop

olym

ers

S-4

S

LO

-1

Gas

Sou

rce

MBE

Ad

vanc

ed T

echn

ique

s Fi

lms

for D

opin

g N

IOS

-bas

ed M

icro

Circ

uits

D

NA

Nan

ostru

ctur

es

SL

O-2

Va

pour

Pha

se E

pita

xy

Shor

t Wav

e le

ngth

s D

opar

t Sou

rces

P

,n C

hann

el T

rans

isto

rs

Scan

ning

pro

be li

thog

raph

y Te

chni

ques

S

5-6

SL

O-1

V

PE

Pro

cess

to S

ilico

n M

ultil

ayer

Res

ists

Fi

lms

for O

hmic

con

tact

s C

ompl

emen

tary

Tra

nsis

tors

Lo

cal A

nodi

c O

xida

tion

SL

O-2

VP

E Pr

oces

s fo

r GaA

s Ph

ase

Shift

ing

Mas

ks

Wet

Che

mic

al e

tchi

ng

Mem

ory

Dev

ices

Sc

ribin

g

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

45

S-7

S

LO

-1

Liqu

id P

hase

Epi

taxy

El

ectro

n Be

am T

echn

ique

s An

isot

ropi

c Ef

fect

s S

OI D

evic

es

Atom

ic M

anip

ulat

ion

SL

O-2

LP

E Sy

stem

Lo

n-Be

am T

echn

ique

s D

ry P

hysi

cal E

tchi

ng

BJT

bas

ed S

ilico

n M

icro

Circ

uits

SP

M S

cann

ing

Prob

e M

icro

scop

y

S-8

S

LO

-1

Ther

mal

Oxi

datio

n of

Silic

on

X R

ay P

rintin

g D

ry C

hem

ical

Etc

hing

T

he b

urie

d la

yer

Eras

able

Ele

ctro

stat

ic L

ithog

raph

y

SL

O-2

Ki

netic

s of

Oxi

de G

row

th

Prob

lem

are

as- d

efec

ts

Rea

ctiv

e Lo

n Et

chin

g p-

n-p

Tra

nsis

tor

Lim

its to

Nan

o Fa

bric

atio

n

S-9

SLO

-1

Oxi

datio

n Sy

stem

Fe

atur

e si

ze c

ontro

l & a

niso

tropi

c Et

ch

Mec

hani

sm

Pene

tratio

n ra

nge

&Tra

nsve

rse

effe

cts

Fie

ld E

ffect

Tra

nsis

tor

Li

mits

to M

SO D

evic

es

SLO

-2

Hal

ogen

ic O

xida

tion

Lift

off T

echn

ique

s An

neal

ing

BIC

MO

S In

tegr

ated

Circ

uits

Li

mits

for P

atte

rn G

ener

atio

n

SLO

-2

Ano

dix

Oxi

datio

n P

lasm

a P

roce

sses

P

lasm

a re

acto

r R

elat

ive

Pla

sma

etch

ing

Tec

hniq

ue

Ion

Impl

anta

tion

syst

ems

Hig

h en

ergy

, hig

h cu

rren

t Inp

lant

s S

elf A

ligne

d T

echn

olog

y T

he H

eter

o ju

nctio

n B

ipol

ar T

rans

isto

r N

anof

abric

atio

n T

ools

Lea

rnin

g

Res

ou

rces

1.

Sora

b. K

. Gan

dhi,

"VLS

I Fab

ricat

ion

and

Prin

cipl

es",

McG

raw

Hill,

200

5 2.

Sa

mi F

rans

sila

, “In

trodu

ctio

n to

Mic

rofa

bric

atio

n”, W

iley

Publ

icat

ions

, 201

0 3.

R

icha

rd C

.Jae

ger,

“Intro

duct

ion

to M

icro

elec

troni

c Fa

bric

atio

n”, P

rent

ice

hall,

200

2 4.

Iv

or B

rodi

e &

Juliu

s J.

Mur

ay,”T

he P

hysi

cs o

f Mic

ro/ N

ano-

Fab

ricat

ion”

Spr

inge

r, 19

92

5.

Bo C

ui, “

Rec

ent a

dvan

ces

in N

anof

abric

atio

n Te

chni

ques

and

App

licat

ions

”, In

Tech

Pub

lishe

r, 20

11

6.

A G

Dav

ies

and

J M

T T

hom

pson

, “Ad

vanc

es in

Nan

oeng

inee

ring

Elec

troni

cs, M

ater

ials

and

As

sem

bly”

,Impe

rial C

olle

ge P

ress

, 200

7 7.

M

icha

el P

ycra

ft H

ughe

s , “

Nan

oele

ctro

mec

hani

cs in

Eng

inee

ring

and

Biol

ogy”

, by

CR

C P

ress

LLC

, 200

3

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 40

%

- 40

%

- 40

%

- 40

%

- U

nder

stan

d

Leve

l 2

App

ly

40%

-

40%

-

40%

-

40%

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 20

%

- 20

%

- 20

%

- 20

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. A

runa

Priy

a, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

46

Co

urs

e C

od

e 18

EC

E20

3T

Co

urs

e N

ame

SE

MIC

ON

DU

CT

OR

DE

VIC

E M

OD

ELI

NG

C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18EC

C10

2J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

the

prop

ertie

s of

sem

icon

duct

or m

ater

ials

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

mec

hani

sms

that

occ

ur in

a P

N ju

nctio

n





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Und

erst

and

the

char

acte

ristic

s an

d m

odel

ing

of B

JT

CL

R-4

:

Und

erst

and

the

mod

elin

g as

pect

s of

MO

SFET

CL

R-5

:

Iden

tify

the

effe

cts

of M

OSF

ET s

calin

g an

d sp

ecia

l MO

SFET

s

CL

R-6

:

Und

erst

and

the

fund

amen

tal p

hysi

cal p

roce

sses

of s

emic

ondu

ctor

dev

ices

to m

eet t

he c

halle

nge

of th

ese

dyna

mic

fie

lds.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Iden

tify

and

Cho

ose

sem

icon

duct

or m

ater

ials

for v

ario

us a

pplic

atio

ns

2 60

60

H

H

- -

- -

- -

- -

- -

- -

- C

LO

-2 :

In

terp

ret t

he c

hara

cter

istic

s of

Jun

ctio

n de

vice

s 2

60

60

H

H

-

H

- -

- -

- -

- -

- -

- C

LO

-3 :

M

odify

and

mod

el th

e BJ

T pa

ram

eter

s fo

r bet

ter p

erfo

rman

ce

2 60

60

H

H

- H

-

- -

- -

- -

- -

- H

C

LO

-4 :

Ev

alua

te a

nd o

ptim

ize

the

perfo

rman

ce o

f MO

SFET

2

60

60

H

H

-

H

- -

- -

- -

- -

- -

H

CL

O-5

:

Build

new

dev

ices

with

sm

all c

hann

el

2 60

60

H

- -

H

- -

- -

- -

- -

- -

H

CL

O-6

:

Expl

ain

the

equa

tions

, app

roxi

mat

ions

and

tech

niqu

es a

vaila

ble

for d

eriv

ing

a m

odel

with

spe

cifie

d pr

oper

ties,

for a

gen

eral

de

vice

cha

ract

eris

tic w

ith k

now

n qu

alita

tive

theo

ry

2 60

60

H

H

- H

-

- -

- -

- -

- -

- H

Dur

atio

n (h

our)

9

9 9

9 9

S-1

S

LO-1

El

ectro

n, H

ole

Den

sitie

s In

Equ

ilibriu

m:

Dis

tribu

tion

of q

uant

um s

tate

s in

ene

rgy

band

PN J

unct

ion

unde

r the

rmal

equ

ilibriu

m:

Built

in p

oten

tial,

conc

ept o

f spa

ce c

harg

e la

yer

Cur

rent

com

pone

nts,

Bas

ic B

JT

para

met

ers,

M

OS

diod

e

Scal

ing

of M

OSF

ETS

SLO

-2

Ferm

i – D

irac

Stat

istic

s Pr

oble

m S

olvi

ng

Lim

itatio

ns o

n th

e ju

nctio

n vo

ltage

O

pera

tion

of Id

eal M

OS

diod

e (a

t VG

B >0

) Ef

fect

of G

ate

volta

ge o

n ca

rrier

mob

ility

S-2

SLO

-1

Elec

tron

conc

entra

tion

cond

uctio

n ba

nd

Dis

tribu

tion

of e

lect

ric fi

led

and

pote

ntia

l w

ithin

the

spac

e ch

arge

laye

r for

abr

upt

junc

tions

at Z

ero

bias

C

apac

itanc

es in

a B

JT,

Ope

ratio

n of

idea

l MO

S di

ode

(at V

GB

<0)

Effe

ct o

f Dra

in v

olta

ge o

n ca

rrier

mob

ility

SLO

-2

Hol

e co

ncen

tratio

n Va

lenc

e ba

nd

Dis

tribu

tion

of e

lect

ric fi

led

and

pote

ntia

l w

ithin

the

spac

e ch

arge

laye

r for

abr

upt

junc

tions

at Z

ero

bias

Sw

itchi

ng o

f BJT

O

pera

tion

of id

eal M

OS

diod

e w

ith a

nd

with

out o

xide

cha

rge

Effe

ct o

f Dra

in v

olta

ge o

n ca

rrier

mob

ility

S-3

SLO

-1

Car

rier c

once

ntra

tion

in in

trins

ic

sem

icon

duct

ors

Dis

tribu

tion

of e

lect

ric fi

led

and

pote

ntia

l w

ithin

the

spac

e ch

arge

laye

r for

line

arly

gr

aded

junc

tions

at Z

ero

bias

Eb

ers-

Mol

l mod

el

Effe

cts

of m

obile

Ioni

c ch

arge

s C

hann

el le

ngth

mod

ulat

ion

SLO

-2

Posi

tion

of F

erm

i lev

el in

ext

rinsi

c se

mic

ondu

ctor

s

Dis

tribu

tion

of e

lect

ric fi

led

and

pote

ntia

l w

ithin

the

spac

e ch

arge

laye

r for

line

arly

gr

aded

junc

tions

at Z

ero

bias

Pr

oble

m S

olvi

ng

Prob

lem

Sol

ving

Br

eakd

own

and

punc

h th

roug

h

S-4

S

LO-1

Io

niza

tion

of im

purit

ies,

Equ

ilibriu

m

elec

tron

and

hole

con

cent

ratio

n

PN J

unct

ion

unde

r app

lied

bias

: Dep

letio

n la

yer c

apac

itanc

e in

an

abru

pt P

N

junc

tions

Ea

rly e

ffect

(CB

& C

E)

Oxi

de c

harg

es a

nd In

terfa

ce s

tate

s Su

b th

resh

old

curre

nt

SLO

-2

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Ope

ratio

n of

BJT

at h

igh

frequ

enci

es:

Cha

rge

cont

rol m

odel

C

-V C

hara

cter

istic

s Su

b th

resh

old

curre

nt

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

47

S-5

S

LO-1

Fe

rmi l

evel

at t

herm

al e

quilib

rium

D

eple

tion

laye

r cap

acita

nce

with

arb

itrar

y do

ping

pro

files

Sm

all s

igna

l equ

ival

ent c

ircui

t,

Pr

oble

m S

olvi

ng

Shor

t cha

nnel

effe

cts

SLO

-2

Prob

lem

Sol

ving

St

atic

cur

rent

vol

tage

cha

ract

eris

tics

of P

N

junc

tion,

Pr

oble

m S

olvi

ng

Thre

shol

d vo

ltage

of M

OSF

ET

Shor

t cha

nnel

effe

cts

S-6

S

LO-1

Ex

cess

Car

riers

: G

ener

atio

n an

d re

com

bina

tion

of c

arrie

rs

Cur

rent

-vol

tage

rela

tions

hip

in a

n in

finite

ly

long

dio

de,

Des

ign

of h

igh

frequ

ency

tran

sist

ors

Bulk

cha

rge

mod

el

Mey

er’s

mod

el

SLO

-2

Mob

ility

of c

arrie

rs

Qua

si F

erm

i lev

el u

nder

bia

s co

nditi

on

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Smal

l sig

nal m

odel

S-7

S

LO-1

C

harg

e tra

nspo

rt in

sem

icon

duct

ors:

Drif

t cu

rrent

C

urre

nt –

volta

ge re

latio

n in

pra

ctic

al

diod

es h

avin

g fin

ite le

ngth

s Se

cond

ord

er e

ffect

s in

BJT

: Non

-uni

form

do

ping

in th

e ba

se

squa

re la

w m

etho

d (L

evel

1 in

SPI

CE

MO

SFET

sca

ling

SLO

-2

Hal

l effe

ct

Idea

lity

fact

or

Non

-uni

form

dop

ing

in th

e ba

se

squa

re la

w m

etho

d (L

evel

1 in

SPI

CE

Non

-uni

form

dop

ing

in c

hann

el

S-8

S

LO-1

D

iffus

ion

curre

nt

Tran

sien

t ana

lysi

s: T

ime

varia

tion

of s

tore

d ch

arge

Va

riatio

n of

β w

ith c

olle

ctor

cur

rent

Le

vel 3

mod

el in

SPI

CE

SOI M

OSF

ET

SLO

-2

Prob

lem

Sol

ving

Pr

oble

m S

olvi

ng

Hig

h in

ject

ion

in c

olle

ctor

BS

IM M

odel

s SO

I MO

SFET

S-9

S

LO-1

C

urre

nt d

ensi

ty e

quat

ions

R

ever

se re

cove

ry o

f a d

iode

, cha

rge

stor

age

capa

cita

nce

Hea

vy d

opin

g ef

fect

s in

the

emitt

er

Com

paris

on o

f Mod

els

Burie

d ch

anne

l MO

SFET

SLO

-2

Cur

rent

den

sity

equ

atio

ns

Prob

lem

Sol

ving

em

itter

cro

wdi

ng in

bip

olar

tran

sist

ors

Com

paris

on o

f Mod

els

Fin

FET

Lea

rnin

g

Res

ou

rces

1.

Nan

dita

Das

Gup

ta, A

mita

va D

as G

upta

, Sem

icon

duct

or d

evic

es, m

odel

ing

and

Tech

nolo

gy, P

rent

ice

Hal

l of

Indi

a, 2

004

2.

Philip

. E. A

llen

Dou

glas

, R. H

ober

g, C

MO

S An

alog

circ

uit D

esig

n, 2

nd e

d., O

xfor

d Pr

ess,

200

2

3.

S.M

. Sze

, Sem

icon

duct

or D

evic

es-P

hysi

cs a

nd T

echn

olog

y, J

ohn

Wile

y an

d So

ns, 1

985.

4.

Ki

at S

eng

Yeo,

Sam

ir R

.Rof

ail,

Wan

g-Li

ng G

ob, C

MO

S/Bi

CM

OS

VLSI

-Low

Vol

tage

, Low

Pow

er,

Pear

son

2003

L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. P.

Aru

na P

riya,

SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

J. M

anju

la, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

48

Co

urs

e C

od

e 18

EC

E20

4J

Co

urs

e N

ame

AR

M-b

ased

Em

bed

ded

Sys

tem

Des

ign

C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18E

CC

203J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

E305

J, 1

8EC

E306

J

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/ Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Expl

ore

softw

are

deve

lopm

ent t

ools

of A

RM

pro

cess

or

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Acqu

ire k

now

ledg

e ab

out p

erip

hera

ls f

or A

RM

chi

p su

ch a

s A/

D, P

WM





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Obt

ain

expo

sure

tow

ards

tim

ers

and

seria

l int

erfa

cing

.

CL

R-4

:

Expl

ore

effe

ctiv

e us

e of

mem

ory;

net

wor

k in

terfa

cing

, Eth

erne

t and

wire

less

pro

toco

l sup

ports

CL

R-5

:

Addr

ess

ARM

pro

cess

or b

ased

aud

io s

igna

l pro

cess

ing.

CL

R-6

:

Dev

elop

AR

M C

orte

x-M

bas

ed e

mbe

dded

sys

tem

s fo

r net

wor

king

and

sig

nal p

roce

ssin

g ap

plic

atio

ns.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Rel

ate

“mbe

d” s

oftw

are

and

C la

ngua

ge a

pplic

atio

n fo

r AR

M C

orte

x-M

pro

cess

ors.

1

65

60

H

-

M

L -

- -

- -

- -

- H

-

- C

LO

-2 :

D

evel

op c

odes

to in

terfa

ce A

/D c

onve

rter,

PWM

gen

erat

ion

and

digi

tal i

nput

/ ou

tput

. 2

65

60

-

- H

-

- -

- -

- -

- -

H

- -

CL

O-3

:

Expe

rimen

t with

pro

gram

Sys

tem

tim

er, s

eria

l int

erfa

ce a

nd L

CD

dis

play

. 2

65

60

-

- H

-

- -

- -

- -

- -

H

- -

CL

O-4

:

Sum

mar

ize

the

use

of m

emor

y an

d pr

ogra

m n

etw

ork

inte

rface

. 2

65

60

H

-

-

- -

- -

- -

- -

- H

-

CL

O-5

:

Anal

yze

audi

o si

gnal

pro

cess

ing

appl

icat

ions

on

embe

dded

pla

tform

. 3

65

60

L

- M

H

-

- -

- -

- -

- -

- H

C

LO

-6 :

Id

entif

y th

e us

e of

“mbe

d” s

oftw

are

pack

on

ARM

Cor

tex-

M p

roce

ssor

for n

etw

orki

ng a

nd s

impl

e si

gnal

pro

cess

ing.

3

65

60

L

- H

M

-

- -

- -

- -

- -

H

- D

urat

ion

(hou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Co

rtex

-M p

roce

sso

r L

earn

ing

Un

it /

Mo

du

le 2

P

erip

her

al In

terf

acin

g-I

L

earn

ing

Un

it /

Mo

du

le 3

P

erip

her

al In

terf

acin

g-I

I L

earn

ing

Un

it /

Mo

du

le 4

N

etw

ork

Inte

rfac

ing

L

earn

ing

Un

it /

Mo

du

le 5

A

ud

io S

ign

al P

roce

ssin

g

15

15

15

15

15

S-1

S

LO-1

-

Star

ting

to P

rogr

am D

igita

l Inp

ut a

nd

Out

put

Intro

duci

ng S

ynch

rono

us S

eria

l C

omm

unic

atio

n M

emor

y or

gani

zatio

n An

Intro

duct

ion

to D

igita

l Aud

io

SLO

-2

- Vo

ltage

s as

Log

ic V

alue

s I2

C b

us

Mem

ory

orga

niza

tion

USB

MID

I on

the

mbe

d

S-2

S

LO-1

-

Intro

duci

ng A

nalo

g ou

tput

Dat

a C

onve

rsio

n C

omm

unic

atin

g W

ith I2

C-E

nabl

ed

Sens

ors

Usi

ng D

ata

File

s W

ith th

e m

bed

Dig

ital A

udio

Pro

cess

ing

SLO

-2

- D

igita

l Out

put o

n th

e m

bed

Asyn

chro

nous

Ser

ial D

ata

Com

mun

icat

ion

Exam

ple

mbe

d D

ata

File

Acc

ess

Dig

ital A

udio

Filt

erin

g Ex

ampl

e

S

3-4

SLO

-1

Lab

-1:A

ssem

bly

lan

gu

age

pro

gra

m,

sim

ula

tio

n -

1 L

ab 4

: A

/D c

on

vers

ion

pro

gra

m

Lab

8:

Mu

ltin

od

e I2

C B

us

Lab

10:

Dat

a lo

gg

ing

L

ab 1

3: A

ud

io s

ign

al g

ener

atio

n

SLO

-2

S-5

SLO

-1

Co

rtex

-M p

roce

sso

r ar

chit

ectu

re

and

Bas

ics

: P

rog

ram

min

g

exer

cise

s D

igita

l Inp

ut a

nd O

utpu

t. LC

D in

terfa

cing

U

sing

Ext

erna

l SD

Car

d M

emor

y W

ith

the

mbe

d D

elay

/Ech

o Ef

fect

SLO

-2

Co

rtex

-M p

roce

sso

r ar

chit

ectu

re

and

Bas

ics

: P

rog

ram

min

g

exer

cise

s D

igita

l Inp

ut a

nd O

utpu

t. U

sing

the

mbe

d Te

xtLC

D L

ibra

ry

Usi

ng E

xter

nal U

SB F

lash

Mem

ory

With

th

e m

bed

Wor

king

With

Wav

e Au

dio

File

s

S-6

S

LO-1

D

evel

opm

ent E

nviro

nmen

t us

ing

the

mbe

d Sw

itchi

ng L

arge

r DC

Loa

ds

Tim

e an

d Ta

sks

in E

mbe

dded

Sys

tem

s In

trodu

ctio

n to

Inte

rnet

Com

mun

icat

ion

Hig

h-Fi

delit

y D

igita

l Aud

io W

ith th

e m

bed

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

49

SLO

-2

Dev

elop

men

t Env

ironm

ent

usin

g th

e m

bed

Switc

hing

Lar

ger D

C L

oads

R

espo

ndin

g to

Ext

erna

l Eve

nts

The

Ethe

rnet

Com

mun

icat

ion

Prot

ocol

H

igh-

Fide

lity

Dig

ital A

udio

With

the

mbe

d

S

7-8

SLO

-1

Lab

2:

Ass

emb

ly la

ng

uag

e p

rog

ram

, sim

ula

tio

n-2

L

ab 5

: M

ini P

roje

ct:

Let

ter

Co

un

ter

Lab

8:

A/D

ou

tpu

t o

n L

CD

L

ab 1

1: E

ther

net

co

mm

un

icat

ion

L

ab 1

4: M

od

el la

b e

xam

inat

ion

S

LO-2

S-9

S

LO-1

Ke

il ID

E an

d D

ebug

ging

tool

s An

othe

r For

m o

f Ana

log

Out

put:

Puls

e W

idth

Mod

ulat

ion

An In

trodu

ctio

n to

Tim

ers

Intro

duci

ng W

irele

ss D

ata

Com

mun

icat

ion

Sum

mar

y on

Dig

ital A

udio

and

Dig

ital

Sign

al P

roce

ssin

g

SLO

-2

Keil

IDE

and

Deb

uggi

ng to

ols

Puls

e W

idth

Mod

ulat

ion

on th

e m

bed

Usi

ng th

e m

bed

Tim

er

Wire

less

Dat

a C

omm

unic

atio

n :

Blue

toot

h a

nd Z

igbe

e Su

mm

ary

on D

igita

l Aud

io a

nd D

igita

l Si

gnal

Pro

cess

ing

S-1

0 S

LO-1

C

- lan

guag

e re

view

D

esig

n of

PW

M p

robl

em

Usi

ng th

e m

bed

Tim

eout

an

d T

icke

r Lo

cal A

rea

Net

wor

k C

omm

unic

atio

ns

With

the

mbe

d R

evie

w a

nd d

iscu

ssio

ns

SLO

-2

Embe

dded

C ,

intro

duct

ion

Des

ign

of P

WM

pro

blem

Th

e R

eal-T

ime

Clo

ck

Usi

ng R

PC

Rev

iew

and

dis

cuss

ions

S

11-1

2

SLO

-1

Lab

3:

Par

alle

l po

rt p

rog

ram

min

g,

sim

ula

tio

n

Lab

6:

PW

M w

avef

orm

gen

erat

ion

L

ab 9

: E

xper

imen

tin

gIn

terr

up

ts,

Tim

ers

Lab

12:

RP

C c

om

mu

nic

atio

n t

hro

ug

h

eth

ern

et

Lab

15:

Fin

al la

b e

xam

inat

ion

S

LO-2

Lea

rnin

g

Res

ou

rces

1.

Tim

Wilm

shur

st, “

Fast

and

effe

ctiv

e em

bedd

ed s

yste

m d

esig

n, A

pply

ing

the

ARM

mbe

d”, A

RM

Ed

ucat

ion

Med

ia, 2

018.

2.

An

drew

Slo

ss, D

omin

ic S

ymes

, Chr

is W

right

, “AR

M S

yste

m D

esig

ners

Gui

de: D

esig

ning

and

opt

imiz

ing

Syst

em S

oftw

are”

, The

Mor

gan

Kauf

man

n Se

ries

in C

ompu

ter A

rchi

tect

ure

and

Des

ign,

200

4.

3.

Th

eory

/Lab

tea

chin

g m

ater

ials

, “E

ffic

ien

t em

bed

ded

sys

tem

des

ign

kit

”, A

RM

Ed

uca

tio

n m

edia

.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of

Thi

nkin

g

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1.M

r. N

ivas

h. S

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.r

es.in

2.

Pro

f. V.

Nat

araj

an, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

50

Co

urs

e C

od

e 18

EC

E20

5J

Co

urs

e N

ame

FP

GA

-bas

ed E

mbe

dded

Sys

tem

Des

ign

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18EC

C20

3J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Expl

ore

high

vol

ume

embe

dded

sys

tem

s w

hich

are

func

tion

spec

ific

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Rel

ate

FPG

A kn

owle

dge

to d

esig

n ci

rcui

ts





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Sele

ct X

ilinx

FPG

A ID

E an

d de

sign

pra

ctic

e

CL

R-4

:

Rec

all F

PGA

plat

form

s

CL

R-5

:

Exam

ine

FPG

A sy

stem

des

ign

and

prac

tical

issu

es

CL

R-6

:

Dev

elop

des

igns

usi

ng F

PGAs

/PSo

Cs

for s

peci

fic e

mbe

dded

mod

ules

and

low

-pow

er d

esig

ns

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

List

Mic

ro c

ontro

ller s

ubsy

stem

s 2

60

65

H

-

-

-

- -

- -

- -

H

- -

CL

O-2

:

Build

sys

tem

des

ign

with

PSo

Cs

3 60

65

- -

H

- M

-

- -

- -

- -

----

H

-

CL

O-3

:

Cla

ssify

Pla

tform

FPG

As

2 60

65

- -

-

-

- -

- -

- -

H

- -

CL

O-4

:

Mak

e us

e of

FPG

A ar

chite

ctur

e de

sign

3

60

60

-

- H

-

-

- -

- -

- -

- H

-

CL

O-5

:

Util

ize

Plat

form

FPG

A de

sign

s 3

60

60

-

- H

-

M

- -

- -

- -

- -

H

-

CL

O-6

:

Dev

elop

sim

ple

FPG

A ba

sed

syst

ems

3 60

60

L -

H

- M

-

- -

- -

- -

- H

-

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Bas

ics

of

Per

iph

eral

s

Lea

rnin

g U

nit

/ M

od

ule

2

PS

oC

Des

ign

Lea

rnin

g U

nit

/ M

od

ule

3

Xili

nx

Vir

tex

5 ID

E

Lea

rnin

g U

nit

/ M

od

ule

4

Pla

tfo

rm F

PG

A D

esig

ns

Lea

rnin

g U

nit

/ M

od

ule

5

Des

ign

ing

Sim

ple

FP

GA

bas

ed

Sys

tem

s

15

15

15

15

15

S-1

S

LO-1

Em

bedd

ed s

yste

ms

perfo

rman

ce

crite

ria -

Inte

rrupt

s PS

oC3/

5 ar

chite

ctur

e ov

ervi

ew

Des

ign

chal

leng

es, l

ife c

ycle

D

esig

n qu

ality

: cor

rect

ness

, rel

iabi

lity,

re

silie

nce.

C

omm

unic

atio

n: C

opro

cess

or m

odel

SLO

-2

Embe

dded

sys

tem

s pe

rform

ance

cr

iteria

- In

terru

pts

PSoC

3 ar

chite

ctur

e de

tails

and

805

1 in

stru

ctio

ns

Met

rics:

mea

sure

s of

suc

cess

M

odul

es a

nd in

terfa

ces

Net

wor

k on

chi

p m

odel

S-2

S

LO-1

Em

bedd

ed s

yste

ms

perfo

rman

ce

crite

ria -

DM

A In

terru

pts

and

inte

rrupt

line

s Sp

ectro

met

er e

xam

ple

usin

g Xi

linx

IDE

Ab

stra

ctio

n an

d st

ate,

Tr

ansf

er o

f sta

te

SLO

-2

Late

ncy

and

its p

robl

ems

Inte

rrupt

prio

rity

and

nest

ing

Spec

trom

eter

exa

mpl

e us

ing

Xilin

x ID

E

Coh

esio

n an

d co

uplin

g an

d co

ntro

l flo

w

grap

h Pr

actic

al is

sues

: pro

filin

g is

sues

S

3-4

SLO

-1

Lab

1:

Em

bed

ded

sen

sors

an

d

sen

sin

g -

1 L

ab 4

: P

So

C D

esig

n -

1

Lab

7:

VH

DL

, Ver

ilog

Pra

ctic

e se

ssio

n -

1 L

ab 1

0: S

amp

le d

esig

n

imp

lem

enta

tio

n

Lab

13:

On

-ch

ip m

emo

ry a

cces

s,

FIF

Os

SLO

-2

S-5

S

LO-1

Em

bedd

ed s

yste

m s

ubsy

stem

s:

A/D

con

vers

ion

The

conc

ept o

f mem

ory

and

its

conn

ectiv

ity to

CPU

Xi

linx

Virte

x 5

IDE

Orig

in o

f Pla

tform

FPG

A D

esig

ns

Spat

ial d

esig

n: P

rinci

ples

of p

aral

lelis

m

SLO

-2

Dig

ital p

orts

& it

s cu

rrent

cap

acity

D

iffer

ent D

MA

mod

es

Xilin

x Vi

rtex

5 ID

E Pl

atfo

rm F

PGA

com

pone

nts

Gra

nula

rity,

deg

ree

of p

aral

lelis

m

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

51

S-6

S

LO-1

In

trodu

ctio

n to

oth

er d

igita

l in

terfa

ces

Clo

ckin

g sy

stem

: Int

erna

l mas

ter

osci

llato

r PL

D b

asic

s Ad

ding

to p

latfo

rm F

PGA

syst

ems

Spat

ial o

rgan

izat

ions

SLO

-2

Intro

duct

ion

to o

ther

dig

ital

inte

rface

s IM

O, a

nd s

leep

/wak

e up

mod

es

FPG

A co

nfig

urat

ions

As

sem

blin

g cu

stom

com

pute

cor

es

Spat

ial o

rgan

izat

ions

S

7-8

SLO

-1

Lab

2:

Em

bed

ded

sen

sors

an

d

sen

sin

g -

2

Lab

5:

PS

oC

Des

ign

-2

Lab

8:

VH

DL

, Ver

ilog

Pra

ctic

e se

ssio

n -

2 L

ab 1

1: B

uild

ing

bas

e sy

stem

s L

ab 1

4: M

od

el la

b e

xam

inat

ion

S

LO-2

S-9

S

LO-1

Se

nsor

s an

d se

nsin

g pr

inci

ples

. O

ptic

al, c

apac

itive

sen

sors

C

lock

dis

tribu

tion

Vario

us s

lices

in V

irtex

5

Softw

are

desi

gn :r

oot f

ile s

yste

m, c

ross

-de

velo

pmen

tal t

ools

M

anag

ing

band

wid

th: B

alan

cing

SLO

-2

Mag

netic

, RF

sens

ors

Pow

er m

anag

emen

t: In

tern

al re

gula

tors

Va

rious

slic

es in

Virt

ex 5

M

onito

rs a

nd b

oot l

oade

rs

Khan

pro

cess

net

wor

k

S-1

0 S

LO-1

Pr

oces

sing

: Mat

hem

atic

al v

iew

s.

Type

s of

rese

t Bi

t stre

am

Ove

rvie

w o

f par

titio

ning

pla

tform

Pl

atfo

rm F

PGA

band

wid

th te

chni

ques

SLO

-2

Prog

ram

mab

le lo

gic

and

mix

ed

sign

al d

esig

n fu

ndam

enta

ls

Intro

to P

SoC

cre

ator

IDE

Prog

ram

min

g FP

GA

Anal

ytic

al s

olut

ion

to p

artit

ioni

ng

On-

chip

, off-

chip

mem

ory

S

11-1

2 S

LO-1

L

ab 3

: P

rog

ram

mab

le lo

gic

d

esig

n

Lab

6:

PS

oC

Des

ign

- 3

L

ab 9

: S

amp

le d

esig

n

imp

lem

enta

tio

n

Lab

12:

Cre

atin

g IP

co

re

Lab

15:

Fin

al la

b e

xam

inat

ion

S

LO-2

Lea

rnin

g

Res

ou

rces

1.

Ro

ber

t A

shb

y, "

Des

ign

ers

gu

ide

to t

he

Cyp

ress

PS

oC

", C

ypre

ss S

emic

on

du

cto

rs, 2

005.

2.

Ed

war

d H

. Cu

rrie

an

d D

avid

Van

Ess

, " P

So

C3/

5 R

efer

ence

Bo

ok"

, Cyp

ress

Sem

ico

nd

uct

or,

201

0.

3.

Sas

s an

d S

hm

idt,

"E

mb

edd

ed s

yste

m d

esig

n w

ith

Pla

tfo

rm F

PG

As"

, Mo

rgan

Kau

fman

n,

2010

.

4.

Th

eory

/Lab

Ses

sio

n T

each

ing

Mat

eria

ls, A

RM

Ed

uca

tio

nal

Med

ia.

Lea

rnin

g A

sses

smen

t

B

loom

’sLe

vel o

f T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. P

rof.

V. N

atar

ajan

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

52

Co

urs

e C

od

e 18

EC

E20

6J

Co

urs

e N

ame

AD

VA

NC

ED

DIG

ITA

L S

YS

TE

M D

ES

IGN

C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18EC

C10

3J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

adva

nced

Boo

lean

theo

rem

s fo

r log

ic s

impl

ifica

tion

and

impl

emen

tatio

n

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

form

al p

roce

dure

s fo

r the

ana

lysi

s an

d de

sign

of s

ynch

rono

us a

nd a

sync

hron

ous

sequ

entia

l circ

uits





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Und

erst

and

conc

ept o

f Pro

gram

mab

le D

evic

es (P

RO

M, P

LA, P

AL, C

PLD

and

FPG

A) a

nd im

plem

ent c

ombi

natio

nal a

nd

sequ

entia

l log

ic c

ircui

ts u

sing

them

.

CL

R-4

:

Adop

t sys

tem

atic

app

roac

h w

ith th

e us

e of

ASM

cha

rt AS

MD

cha

rt, R

TL re

pres

enta

tion

for t

he d

esig

n of

dig

ital c

ircui

ts

and

syst

ems

CL

R-5

:

Use

VH

DL

as a

des

ign-

entry

lang

uage

for F

PGA

in e

lect

roni

c de

sign

aut

omat

ion

of d

igita

l circ

uits

CL

R-6

:

Dev

elop

the

abilit

y to

sim

ulat

e ci

rcui

ts fo

r mor

e ad

vanc

ed d

esig

n pr

ojec

ts.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Appl

y ad

vanc

ed th

eore

ms

to s

impl

ify th

e de

sign

asp

ects

of v

ario

us p

ract

ical

circ

uits

2

80

75

M

-

- -

- -

- -

- -

- -

- -

- C

LO

-2 :

An

alyz

e an

d de

sign

syn

chro

nous

seq

uent

ial c

ircui

ts

2 80

70

- M

M

-

- -

- -

- -

- -

- -

- C

LO

-3 :

Id

entif

y m

etho

ds to

ana

lyze

and

des

ign

Asyn

chro

nous

seq

uent

ial c

ircui

ts

2 75

70

- M

M

-

- -

- -

- -

- -

- -

- C

LO

-4 :

Im

plem

ent v

ario

us d

igita

l circ

uits

usi

ng P

rogr

amm

able

Log

ic D

evic

es

2 80

75

- M

M

-

- -

- -

- -

- -

- -

- C

LO

-5 :

D

esig

n an

d im

plem

ent d

igita

l circ

uits

usi

ng V

HD

L.

3 80

70

- H

H

-

H

- -

- -

- -

- -

- L

CL

O-6

:

Perfo

rm e

xper

imen

ts in

the

labo

rato

ry w

ith h

ardw

are

and

as w

ell w

ith s

oftw

are

(VH

DL)

to s

imul

ate

and

verif

y th

e de

sign

2

80

70

-

- -

- H

-

- -

M

- -

H

H

- L

Dur

atio

n (h

our)

12

12

12

12

12

S-1

S

LO-1

Sh

anno

n’s

Expa

nsio

n th

eore

m

stat

e re

duct

ion

Anal

yze

asyn

chro

nous

seq

uent

ial c

ircui

t D

ynam

ic h

azar

ds

Xilin

x 30

00 s

erie

s FP

GA

SLO

-2

Shan

non’

s Ex

pans

ion

theo

rem

app

licat

ion

stat

e re

duct

ion

flow

tabl

e re

duct

ion

Esse

ntia

l haz

ards

Xi

linx

3000

ser

ies

FPG

A

-S-2

S

LO-1

Sh

anno

n’s

Expa

nsio

n th

eore

m a

nd it

s ap

plic

atio

n

stat

e as

sign

men

t ra

ces-

stat

e as

sign

men

t Pr

ogra

mm

ing

logi

c de

vice

fam

ilies

Xilin

x 40

00 s

erie

s FP

GA

SLO

-2

Con

sens

us th

eore

m

stat

e as

sign

men

t Va

riabl

es S

igna

ls, C

onst

ants

, Seq

uent

ial

stat

emen

ts V

HD

L pr

oces

ses

Des

igni

ng s

ynch

rono

us s

eque

ntia

l circ

uit

usin

g PR

OM

Xi

linx

4000

ser

ies

FPG

A

S

3-4

SLO

-1

Lab

1: Im

plem

ent s

ix-v

aria

ble

func

tion

usin

g fo

ur-v

aria

ble

func

tion

gene

rato

rs

Lab

4: Im

plem

ent h

azar

d-fre

e ci

rcui

ts

Lab

7: V

HD

L Pr

ogra

mm

ing

Prac

tice

Lab

10: C

onst

ruct

mul

tiple

xers

, de-

mul

tiple

xers

in V

HD

L La

b13:

Impl

emen

t BC

D a

dder

, com

para

tor

in V

HD

L S

LO-2

S-5

S

LO-1

R

eed-

Mul

ler E

xpan

sion

tech

niqu

e

Des

ign

of s

ynch

rono

us s

eque

ntia

l circ

uits

ra

ces-

stat

e as

sign

men

t D

esig

ning

syn

chro

nous

seq

uent

ial c

ircui

t us

ing

PRO

M

Des

ign

of s

eque

ntia

l circ

uits

(usi

ng V

HD

L)

SLO

-2

Ree

d-M

ulle

r Exp

ansi

on te

chni

que

D

esig

n of

syn

chro

nous

seq

uent

ial c

ircui

ts

Tran

sitio

n ta

ble

and

prob

lem

s in

tran

sitio

n ta

ble

Des

igni

ng s

ynch

rono

us s

eque

ntia

l circ

uit

usin

g PR

OM

D

esig

n of

seq

uent

ial c

ircui

ts (u

sing

VH

DL)

S-6

S

LO-1

M

ultip

lexe

r log

ic a

s fu

nctio

n ge

nera

tors

In

trodu

ctio

n to

VH

DL,

Ent

ity a

nd

Arch

itect

ure

desc

riptio

n Tr

ansi

tion

tabl

e an

d pr

oble

ms

in tr

ansi

tion

tabl

e Pr

ogra

mm

able

Arra

y Lo

gic

(PAL

) D

esig

n of

seq

uent

ial c

ircui

ts (u

sing

VH

DL)

SLO

-2

Impl

emen

tatio

n of

Mul

tiple

out

put l

ogic

fu

nctio

ns

VHD

L D

ata

type

s an

d O

pera

tors

D

esig

n of

asy

nchr

onou

s se

quen

tial c

ircui

t Pr

ogra

mm

able

Arra

y Lo

gic

(PAL

) D

esig

n of

seq

uent

ial c

ircui

ts (u

sing

VH

DL)

S

7-8

SLO

-1

Lab

2: Im

plem

ent R

eed-

Mul

ler e

xpre

ssio

ns

usin

g lo

gic

gate

s.

Lab

5: D

emo

of V

HD

L pr

ogra

mm

es,

Sim

ple

prog

ram

mes

La

b 8:

Com

bina

tiona

l Circ

uit D

esig

n us

ing

Stru

ctur

al, b

ehav

iora

l, da

ta fl

ow m

odel

ing

Lab

11: C

onst

ruct

cod

e co

nver

ters

, 4-b

it bi

nary

add

ers

in V

HD

L La

b 14

: Min

i Pro

ject

Wor

k S

LO-2

S-9

S

LO-1

M

ealy

and

Moo

re m

achi

nes

ASM

cha

rt an

d re

aliz

atio

n us

ing

ASM

D

esig

n of

asy

nchr

onou

s se

quen

tial c

ircui

t Pr

ogra

mm

able

Log

ic A

rray

(PLA

) Ad

ditio

nal c

ircui

t des

igns

usi

ng V

HD

L

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

53

SLO

-2

Clo

cked

syn

chro

nous

seq

uent

ial c

ircui

t de

sign

pro

cedu

re

ASM

cha

rt an

d re

aliz

atio

n us

ing

ASM

D

esig

n of

asy

nchr

onou

s se

quen

tial c

ircui

t Pr

ogra

mm

able

Log

ic A

rray

(PLA

) Ad

ditio

nal c

ircui

t des

igns

usi

ng V

HD

L

S-1

0 S

LO-1

St

ate

diag

ram

s C

oncu

rrent

, Seq

uent

ial A

ssig

nmen

t St

atem

ents

, Typ

es o

f Mod

elin

g in

VH

DL

St

atic

haz

ards

FP

GA-

Xilin

x FP

GA

Addi

tiona

l sys

tem

des

igns

usi

ng V

HD

L

SLO

-2

Stat

e ta

ble

Beha

vior

al, d

ataf

low

and

stru

ctur

al

mod

elin

g St

atic

haz

ards

FP

GA-

Xilin

x FP

GA

Addi

tiona

l sys

tem

des

igns

usi

ng V

HD

L

S

11-1

2

SLO

-1

Lab

3: Im

plem

enta

tion

of S

eque

nce

dete

ctor

circ

uit.

Lab

6: V

HD

L Pr

ogra

mm

ing

Prac

tice

Lab

9: Im

plem

ent C

ombi

natio

nal C

ircui

ts

usin

g St

ruct

ural

, beh

avio

ral a

nd d

ata

flow

m

odel

ing-

Arit

hmet

ic c

ircui

ts, d

ecod

ers,

en

code

rs.

Lab

12: B

CD

add

er, c

ompa

rato

r, D

esig

n of

S

eque

ntia

l circ

uits

(us

ing

VH

DL)

Lab

15: E

nd-S

emes

ter P

ract

ical

Ex

amin

atio

ns

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

Cha

rles

H. R

oth,

Jr.

Uni

vers

ity o

f Tex

as a

t Aus

tin. L

arry

L. K

inne

y, F

unda

men

tals

of L

ogic

Des

ign,

7th

ed

., C

enga

ge L

earn

ing,

201

2 2.

R

icha

rd S

. San

dige

, Mic

hal L

. San

dige

, Fun

dam

enta

ls o

f dig

ital a

nd c

ompu

ter d

esig

n w

ith V

HD

L, M

c G

raw

Hil,

20

14

3.

Jaya

ram

Bha

sker

, A V

HD

L Pr

imer

, 3rd

ed.

, Pre

ntic

e H

all,

2011

4.

C

harle

s. H

. Rot

h, J

r, D

igita

l Sys

tem

s D

esig

n us

ing

VHD

L, C

ENG

AGE

Lear

ning

, 201

0 5.

M

orris

Man

o M

, Mic

hael

D. C

iletti

, Dig

ital D

esig

n w

ith a

n In

trodu

ctio

n to

the

Veril

og H

DL,

5th

ed.

, Pe

arso

n, 2

014

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. M

r. B.

Vis

wan

atha

n, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

54

Co

urs

e C

od

e 18

EC

E20

7J

Co

urs

e N

ame

Rea

l Tim

e O

pera

ting

Sys

tem

s C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18C

SS10

1J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Sum

mar

ize

conc

epts

of C

, ass

embl

y pr

ogra

mm

ing

and

IDE.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

C

LR

-2 :

Ac

quire

kno

wle

dge

of p

rogr

amm

ing,

the

perip

hera

ls.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Out

line

diffe

rent

RTO

S pr

inci

ples

CL

R-4

:

Infe

r var

ious

adv

ance

d R

TOS

prin

cipl

es

CL

R-5

:

Dev

elop

sam

ple

proj

ects

usi

ng a

pplic

atio

n pr

ogra

mm

ing

CL

R-6

:

Insp

ect h

ow O

S ca

n be

impl

emen

ted

on A

RM

pro

cess

or.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Rec

all m

icro

proc

esso

r ins

truct

ion

sets

and

thei

r use

. 1

65

60

M

-

- -

- -

- -

- -

- -

H

- -

CL

O-2

:

Con

stru

ct c

odes

in a

ssem

bly

and

C fo

r em

bedd

ed a

pplic

atio

ns.

2 65

60

- -

- H

M

-

- -

- -

- -

H

- -

CL

O-3

:

Illus

trate

the

conc

epts

and

requ

irem

ents

of R

TOS,

in g

ener

al b

asic

OS

prin

cipl

es.

2 65

60

- -

-

M

- -

- -

- -

- H

-

- C

LO

-4 :

An

alyz

e th

e us

e R

TOS

in e

mbe

dded

pro

gram

min

g 2

65

60

-

- -

H

M

- -

- -

- -

- H

-

- C

LO

-5 :

Ap

ply

the

know

ledg

e in

rela

ted

sam

ple

use

case

s.

3 65

60

L -

-

L -

- -

- -

- -

-

H

CL

O-6

:

Dev

elop

pro

cess

or b

ased

em

bedd

ed s

yste

ms

alon

g w

ith R

TOS

impl

emen

tatio

n.

2 65

60

L -

- H

M

-

- -

- -

- -

H

- -

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Co

rtex

-M p

roce

sso

r &

‘C’

Lea

rnin

g U

nit

/ M

od

ule

2

Per

iph

eral

Pro

gra

mm

ing

in ‘C

’

Lea

rnin

g U

nit

/ M

od

ule

3

Co

nce

pts

of

RT

OS

Lea

rnin

g U

nit

/ M

od

ule

4

RT

OS

Imp

lem

enta

tio

n

Lea

rnin

g U

nit

/ M

od

ule

5

RT

OS

Ap

plic

atio

ns

15

15

15

15

15

S-1

S

LO-1

C

orte

x-M

pro

cess

or a

rchi

tect

ure

Para

llel I

/O p

rogr

amm

ing

Intro

duct

ion

to R

TOS

Proc

ess

man

agem

ent

Rea

l tim

e sy

stem

s: D

ata

acqu

isiti

on

syst

em

SLO

-2

Cor

tex-

M p

roce

ssor

arc

hite

ctur

e Sa

mpl

e pr

ogra

ms

Intro

duct

ion

to R

TOS

Dyn

amic

link

ing

and

load

ing

Rea

l tim

e sy

stem

s: D

ata

acqu

isiti

on

syst

em

S-2

S

LO-1

AR

M C

orte

x as

sem

bly

lang

uage

–

part1

In

terru

pt p

roce

ssin

g ba

sics

C

oncu

rrent

pro

gram

min

g Sp

in-lo

ck s

emap

hore

, coo

pera

tive

sche

dulin

g Pe

rform

ance

met

rics

SLO

-2

ARM

Cor

tex

asse

mbl

y la

ngua

ge –

pa

rt2

Syst

em ti

ck; p

erio

dic

inte

rrupt

s Th

read

fund

amen

tals

Th

read

rend

ezvo

us

Exam

ples

and

dis

cuss

ions

S

3-4

SLO

-1

Lab

1:

Arm

Ass

emb

ly la

ng

uag

e p

rog

ram

min

g

Lab

4:

Inte

rru

pts

an

d t

imer

s in

C a

nd

as

sem

bly

L

ab 7

: S

imp

le t

hre

ad p

rog

ram

min

g in

R

TO

S –

Wav

e fo

rm s

imu

lati

on

Lab

10:

Sem

aph

ore

imp

lem

enta

tio

n

exp

erim

ent

in R

TO

S

Lab

13:

An

y ap

plic

atio

n p

rog

ram

usi

ng

RT

OS

. S

LO-2

S-5

S

LO-1

AR

M C

orte

x m

icro

cont

rolle

r in

terfa

ce s

tand

ards

U

ART

prog

ram

min

g Sh

ared

reso

urce

s an

d C

ritic

al s

ectio

ns

FIFO

& L

ittle

's th

eore

m

Solid

sta

te d

isk

SLO

-2

IDE

softw

are

tool

s U

ART

prog

ram

min

g C

onsu

mer

pro

duce

r pro

blem

Th

ree

sem

apho

re im

plem

enta

tion

Flas

h de

vice

driv

er

S-6

S

LO-1

Po

inte

rs in

C

Dig

ital s

igna

l tim

e m

easu

rem

ent

Switc

hing

thre

ads

Thre

ad s

leep

ing

SD c

ard

inte

rface

SLO

-2

Arra

ys, s

truct

ures

and

uni

ons,

Li

nked

list

s U

se o

f tim

ers

and

com

pare

, cap

ture

re

gist

ers.

Pr

ofilin

g th

e O

S D

eadl

ocks

, mon

itors

C

omm

unic

atio

n sy

stem

s w

ith E

ther

net

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

55

S

7-8

SLO

-1

Lab

2:

C &

ass

emb

ly

pro

gra

mm

ing

usi

ng

Kei

l ID

E

and

kit

Lab

5:

Deb

ug

gin

g h

ard

war

e w

ith

ta

rget

bo

ard

– U

AR

T in

terf

ace

pro

gra

mm

ing

Lab

8:

Mu

lti t

hre

aded

ap

plic

atio

n in

R

TO

S –

LE

D b

linki

ng

wit

h m

ult

i th

read

s

Lab

11:

Mu

lti t

hre

aded

ap

plic

atio

n

wit

h c

om

mu

nic

atio

n -

1

Lab

14:

Mo

del

lab

exa

min

atio

n

SLO

-2

S-9

S

LO-1

Em

bedd

ed d

ebug

ging

tool

s in

Ke

il ID

E

SSI i

nter

face

Se

map

hore

s an

d im

plem

enta

tion

Fixe

d sc

hedu

ling

Appl

icat

ion

laye

r pro

toco

ls fo

r em

bedd

ed s

yste

ms

SLO

-2

Embe

dded

deb

uggi

ng e

xam

ple

with

sim

ulat

ion

SSI p

rogr

amm

ing

with

inte

rrupt

O

pera

tions

on

sem

apho

res

Fixe

d sc

hedu

ling

CoA

P, M

QTT

S-1

0 S

LO-1

M

emor

y m

anag

emen

t -1

Anal

og I/

O; A

/D c

onve

rter i

nter

faci

ng

Res

ourc

e sh

arin

g Ka

hn p

roce

ss n

etw

orks

D

iscu

ssio

ns &

Rev

iew

s

SLO

-2

Mem

ory

man

agem

ent -

2 O

S co

nsid

erat

ions

of I

/O d

evic

es

Thre

ad c

omm

unic

atio

ns

Rev

iew

D

iscu

ssio

ns &

Rev

iew

s

S

11-1

2

SLO

-1

Lab

3:

Pra

ctic

e: C

& a

ssem

bly

p

rog

ram

min

g u

sin

g K

eil I

DE

an

d k

it

Lab

6:

Deb

ug

gin

g h

ard

war

e w

ith

ta

rget

bo

ard

– A

nal

og

I/O

p

rog

ram

min

g

Lab

9 :

Mu

lti t

hre

aded

ap

plic

atio

n in

R

TO

S, w

ith

sem

aph

ore

s L

ab 1

2: M

ult

i th

read

ed a

pp

licat

ion

w

ith

co

mm

un

icat

ion

-2

Lab

15:

Fin

al L

ab E

xam

inat

ion

S

LO-2

Lea

rnin

g

Res

ou

rces

1.

Jon

ath

an V

alva

no

, "R

eal t

ime

op

erat

ing

sys

tem

s fo

r A

RM

Co

rtex

-M M

icro

con

tro

llers

, Em

bed

ded

syst

ems

- V

olu

me

3",

AR

M E

du

cati

on

al M

edia

, 201

7.

2.

An

dre

w S

loss

et a

ll, "

AR

M s

yste

m d

evel

op

ers

gu

ide"

, Els

evie

r, 2

004.

3.

Qu

ing

Li,

"Rea

l tim

e te

chn

iqu

es f

or

emb

edd

ed s

yste

ms"

, CM

P B

oo

ks, 2

003.

4.

K.C

. Wan

g, "

Em

bed

ded

an

d R

eal t

ime

op

erat

ing

sys

tem

s", S

pri

ng

er, 2

017.

5.

T

heo

ry/L

ab S

essi

on

tea

chin

g m

ater

ials

, “ R

TO

S k

it”,

AR

M E

du

cati

on

al m

edia

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. P

rof.

V. N

atar

ajan

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

56

Co

urs

e C

od

e 18

EC

E30

1J

Co

urs

e N

ame

CM

OS

AN

ALO

G IC

DE

SIG

N

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

2 0

2 3

P

re-r

equ

isit

e C

ou

rses

18

ECC

206J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Iden

tify

Anal

og IC

Des

ign

proc

ess

flow

and

IC b

iasi

ng

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Anal

yze

the

oper

atio

n an

d fre

quen

cy re

spon

se o

f CM

OS

sing

le s

tage

am

plifi

ers





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Anal

yze

oper

atio

n an

d fre

quen

cy re

spon

se o

f the

Diff

eren

tial a

mpl

ifier

s an

d O

p-am

p

C

LR

-4 :

C

reat

e in

sigh

ts to

the

conc

epts

of n

oise

s in

am

plifi

ers

CL

R-5

:

Util

ize

the

conc

epts

of o

scilla

tors

and

sw

itche

d ca

paci

tor c

ircui

ts

CL

R-6

:

Use

com

mer

cial

des

ign

tool

s fo

r sch

emat

ic e

ntry

, sim

ulat

ion,

and

layo

ut

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Iden

tify

IC B

iasi

ng c

once

pts

2 60

60

H

H

- -

H

- -

- -

- -

- -

- -

CL

O-2

:

Anal

yze

Sing

le s

tage

am

plifi

ers

2

60

60

H

H

-

- H

-

- -

- -

- -

- -

- C

LO

-3 :

An

alyz

e D

iffer

entia

l Am

plifi

ers

and

Op-

amp

2 60

60

H

- -

- H

-

- -

- -

- -

- -

- C

LO

-4 :

Id

entif

y th

e no

ises

in A

mpl

ifier

s 2

60

60

H

H

-

- H

-

- -

- -

- -

- -

- C

LO

-5 :

Id

entif

y os

cilla

tors

and

sw

itche

d ca

paci

tors

circ

uits

2

60

60

H

-

- -

H

- -

- -

- -

- -

- -

CL

O-6

:

Solv

e pr

actic

al a

nd s

tate

of t

he a

rt an

alog

IC d

esig

n pr

oble

ms

to s

erve

VLS

I ind

ustri

es.

2 60

60

- H

-

- -

- -

- -

- -

- H

-

-

Du

rati

on

(h

ou

r)

12

12

12

12

12

S-1

S

LO

-1

IC D

esig

n Ph

iloso

phy

: Int

rodu

ctio

n to

M

OSF

ET s

calin

g C

MO

S Si

ngle

sta

ge A

mpl

ifier

s: A

nalo

g D

esig

n O

ctag

on

Diff

eren

tial A

mpl

ifier

: MO

S D

iffer

entia

l

Pair-

Ope

ratio

n w

ith C

omm

on m

ode

inpu

t N

oise

in A

mpl

ifier

s: S

tatis

tical

ch

arac

teris

tics

of n

oise

O

scilla

tors

: Gen

eral

Con

side

ratio

ns

SL

O-2

An

alog

IC d

esig

n pr

oces

s flo

w, T

ypic

al

valu

es o

f IC

MO

SFET

par

amet

ers

Com

mon

Sou

rce

stag

e w

ith re

sist

ive

load

O

pera

tion

with

diff

eren

tial i

nput

St

atis

tical

cha

ract

eris

tics

of n

oise

-con

tn

Rin

g os

cilla

tors

S-2

S

LO

-1

IC B

iasi

ng: M

OSF

ET c

urre

nt s

ourc

e C

S st

age

with

dio

de c

onne

cted

load

Sm

all s

igna

l ope

ratio

n of

MO

S di

ffere

ntia

l pa

ir- D

iffer

entia

l gai

n Ty

pes

of N

oise

s- T

herm

al N

oise

, flic

ker

nois

e LC

osc

illato

rs

SL

O-2

Ef

fect

of t

he o

utpu

t res

ista

nce

of th

e cu

rrent

sou

rce

load

C

S st

age

with

cur

rent

sou

rce

load

C

omm

on m

ode

gain

, CM

RR

N

oise

Mod

el- M

OSF

ET, R

esis

tor

Cro

ss c

oupl

ed o

scilla

tors

S

3-4

SL

O-1

La

b 1:

Bas

ic M

OS

Circ

uits

: MO

SFET

as

a sw

itch

& In

verte

r usi

ng H

SPIC

E La

b 4:

Com

mon

sou

rce

ampl

ifier

with

re

sist

ive

load

and

dio

de c

onne

ct lo

ad

Lab

7: D

iffer

entia

l am

plifi

er

Lab

10: N

oise

ana

lysi

s an

d a

mea

sure

of

nois

e fig

ure

in C

S, C

G a

nd C

D a

mpl

ifier

La

b 13

: Sw

itche

d ca

paci

tor c

ircui

ts

SL

O-2

S-5

S

LO

-1

Basi

c M

OSF

ET c

urre

nt m

irror

-ope

ratio

n C

S st

age

with

trio

de lo

ad

Diff

eren

tial a

mpl

ifier

with

cur

rent

sou

rce

load

R

epre

sent

atio

n of

noi

se in

circ

uits

O

ne p

ort o

scilla

tors

SL

O-2

St

udy

on th

e ef

fect

s w

hich

dev

iate

s pe

rform

ance

of t

he c

urre

nt m

irror

C

S st

age

with

sou

rce

dege

nera

tion

C

asco

de D

iffer

entia

l am

plifi

er

Rep

rese

ntat

ion

of n

oise

in c

ircui

ts-C

ontn

C

olpi

tt os

cilla

tor

S-6

S

LO

-1

Cas

code

Cur

rent

mirr

or

Sour

ce F

ollo

wer

Fr

eque

ncy

resp

onse

of t

he d

iffer

entia

l am

plifi

er

Noi

se A

naly

sis

of C

S st

age

Volta

ge C

ontro

lled

osci

llato

rs

SL

O-2

C

asco

de C

urre

nt m

irror

- con

tn. a

nd

prob

lem

sol

ving

C

omm

on g

ate

stag

e Fr

eque

ncy

resp

onse

of t

he d

iffer

entia

l am

plifi

er- c

ontn

.. N

oise

Ana

lysi

s o

f CD

sta

ge

Volta

ge C

ontro

lled

osci

llato

rs-c

ontn

S

7-8

SL

O-1

La

b 2:

Bas

ic M

OS

curre

nt m

irror

, Cur

rent

m

irror

circ

uit t

o ov

erco

me

the

chan

nel

Lab

5: C

omm

on g

ate

ampl

ifier

and

Sou

rce

follo

wer

La

b 8:

One

sta

ge o

p-am

p La

b 11

: Rin

g os

cilla

tor

Lab

14: P

re a

nd P

ost l

ayou

t sim

ulat

ion

of

CM

OS

inve

rter u

sing

Cad

ence

ED

A

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

57

SL

O-2

le

ngth

mod

ulat

ion

effe

ct

(Virt

uoso

tool

)

S-9

S

LO

-1

Wils

on M

OS

curre

nt m

irror

C

asco

de A

mpl

ifier

M

ultis

tage

Am

plifi

ers:

Per

form

ance

pa

ram

eter

s of

Op-

Amp

Noi

se A

naly

sis

of C

G s

tage

Sw

itche

d C

apac

itors

circ

uits

: Bas

ic

prin

cipl

es

SL

O-2

M

OS

curre

nt s

teer

ing

circ

uits

Fo

lded

Cas

code

am

plifi

er

One

sta

ge o

p-am

p N

oise

Ana

lysi

s o

f Cas

code

sta

ge

Sam

plin

g sw

itche

s

S-1

0

SL

O-1

Ba

nd g

ap re

fere

nce

circ

uits

Fr

eque

ncy

resp

onse

of C

S am

plifi

er

Two

stag

e op

-am

p N

oise

Ana

lysi

s o

f Diff

eren

tial a

mpl

ifier

Sw

itche

d ca

paci

tor a

mpl

ifier

SL

O-2

Ba

nd g

ap re

fere

nce

circ

uits

-con

tn.

Freq

uenc

y re

spon

se o

f CS

ampl

ifier

- C

ontn

Tw

o st

age

op-a

mp

with

gai

n bo

ostin

g N

oise

Ban

dwid

th, N

oise

Fig

ure

Con

cept

s Sw

itche

d ca

paci

tor i

nteg

rato

r

S

11-1

2

SL

O-1

La

b 3:

Cas

code

cur

rent

mirr

or, W

ilson

cu

rrent

mirr

or

Lab

6: C

asco

de a

mpl

ifier

La

b 9:

Tw

o st

age

op-a

mp

Lab

12: V

olta

ge C

ontro

lled

osci

llato

rs

Lab

15: P

re a

nd P

ost l

ayou

t sim

ulat

ion

of

CM

OS

Ampl

ifier

usi

ng C

aden

ce E

DA

(Virt

uoso

tool

) S

LO

-2

Lea

rnin

g

Res

ou

rces

1.

A del

S. S

edra

, Ken

neth

C.S

mith

, “M

icro

elec

troni

c C

ircui

ts-T

heor

y an

d Ap

plic

atio

ns “–

6th

Edi

tion,

O

xfor

d U

nive

rsity

Pre

ss, 2

011.

2.

Be

hzad

Raz

avi,

“Des

ign

of A

nalo

g C

MO

S In

tegr

ated

Circ

uits

”, M

c G

raw

Hill,

200

1

3.

Alle

n H

olbe

rg, “

CM

OS

Anal

og C

ircui

t Des

ign”

, Oxf

ord

Uni

vers

ity P

ress

, 200

4 4.

G

ray,

Mey

er, L

ewis

, Hur

st, “

Anal

ysis

and

Des

ign

of A

nalo

g In

tegr

ated

Circ

uits

”, 4th

edi

tion,

Wille

y In

tern

atio

nal,

2002

.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. J.

Man

jula

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Mr.

Man

ikan

dan

AVM

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

58

Co

urs

e C

od

e 18

EC

E30

2T

Co

urs

e N

ame

ME

MS

TE

CH

NO

LO

GIE

S

Co

urs

e C

ateg

ory

E

P

RO

FE

SS

ION

AL

EL

EC

TIV

E

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

N

il C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Iden

tify

the

char

acte

ristic

s an

d va

rious

tech

nolo

gy a

dopt

ed in

MEM

S fa

bric

atio

n

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

elec

trica

l and

mec

hani

cal p

heno

men

on u

sed

in M

EMS

desi

gn





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Anal

yze

how

to a

pply

ele

ctro

stat

ic a

nd th

erm

al p

rinci

ples

in M

EMS

com

pone

nts

desi

gn

CL

R-4

:

Stud

y th

e ap

plic

atio

n of

pie

zore

sist

ive,

pie

zoel

ectri

c pr

inci

ple

and

the

desi

gn o

f mic

roflu

idic

dev

ices

CL

R-5

:

Cla

ssify

the

appl

icat

ion

of p

olym

er in

ME

MS

app

licat

ion,

als

o to

exp

lore

the

prin

cipl

e an

d ap

plic

atio

n of

opt

ical

, and

RF

M

EM

S d

evic

es

CL

R-6

:

Stu

dy th

e M

EM

S P

acka

ging

and

test

ing

met

hodo

logi

es

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Inte

rpre

t the

kno

wle

dge

of M

EM

S d

evic

es p

rinci

ples

and

mic

rofa

bric

atio

n te

chni

ques

1

60

60

H

-

- -

- -

- -

- -

- -

L -

-

CL

O-2

:

Exp

lain

the

esse

ntia

l con

cept

s of

ele

ctric

al a

nd m

echa

nica

l app

licab

le to

ME

MS

. 1

60

60

H

-

- -

- -

- -

- -

- -

L -

-

CL

O-3

:

Dem

onst

rate

the

elec

tros

tatic

and

ther

mal

sen

sing

prin

cipl

es a

nd a

ctua

ting

tech

niqu

e.

2 60

60

H

M

L -

- -

- -

- -

- -

L -

H

CL

O-4

:

Mod

el M

EM

S d

evic

es u

sing

pie

zore

sist

ive,

pie

zoel

ectr

ic a

nd m

agne

tic s

ensi

ng a

nd a

ctua

ting

tech

niqu

e an

d m

icro

fluid

ic

devi

ces

2 60

60

L H

-

- -

- -

- -

- -

- M

-

H

CL

O-5

:

Infe

r th

e ap

plic

atio

n of

pol

ymer

s m

ater

ial u

sed

in M

EM

S a

pplic

atio

n, a

lso

unde

rsta

nd th

e d

esig

n of

opt

ical

and

RF

ME

MS

co

mpo

nent

s.

2 60

60

L -

H

- -

- -

- -

- -

- M

-

H

CL

O-6

:

Pre

dict

sui

tabl

e M

EM

S p

acka

ging

and

test

ing

met

hods

. 2

60

60

L

M

H

M

-

H

Du

rati

on

(h

ou

r)

INT

RO

DU

CT

ION

TO

ME

MS

AN

D M

ICR

O

FA

BR

ICA

TIO

N

EL

EC

TR

ICA

L A

ND

ME

CH

AN

ICA

L

CO

NC

EP

TS

OF

ME

MS

E

LE

CT

RO

ST

AT

IC A

ND

TH

ER

MA

L

PR

INC

IPL

E S

EN

SIN

G A

ND

AC

TU

AT

ION

PIE

ZO

RE

SIS

TIV

E, P

IEZ

OE

LE

CT

RIC

A

ND

MA

GN

ET

IC P

RIN

CIP

LE

SE

NS

OR

S

AN

D A

CT

UA

TO

R

PO

LY

ME

R, O

PT

ICA

L, R

F M

EM

S A

ND

IT

S A

PP

LIC

AT

ION

9 9

9 9

9

S-1

S

LO

-1

His

tory

of M

EM

S D

evel

opm

ent

Con

duct

ivity

of s

emic

ondu

ctor

s

Ele

ctro

stat

ic s

ensi

ng -

Par

alle

l pla

te

capa

cito

r P

iezo

resi

stiv

e se

nsor

s -p

iezo

resi

stiv

e se

nsor

mat

eria

l P

olym

ers

in M

EM

S-

poly

mid

e,S

U- 8

, Li

quid

cr

ysta

l pol

ymer

(LC

P )

S

LO

-2

Pro

blem

s o

n co

nduc

tivity

of

sem

icon

duct

ors

P

robl

ems

on

elec

tros

tatic

sen

sing

S-2

S

LO

-1

Cha

ract

eris

tics

of M

EM

S –

Min

iatu

rizat

ion,

C

ryst

al p

lane

and

orie

ntat

ion-

Sin

gle

crys

tal S

i (F

CC

, Mill

er In

dice

s an

d no

tatio

n,

crys

tal p

lane

s &

cha

ract

eris

tics,

flat

s &

w

afer

iden

tific

atio

n)

Ele

ctro

stat

ic a

ctua

tion

Par

alle

l pla

te

capa

cito

r S

tres

s in

flex

ural

can

tilev

er a

nd m

embr

ane

P

olym

ers

in M

EM

S-

PD

MS

, PM

MA

, P

aryl

ene,

Flu

oroc

arbo

n S

LO

-2

Mic

roel

ectr

onic

s in

tegr

atio

n -

Mas

s fa

bric

atio

n w

ith p

reci

sion

P

robl

ems

on

elec

tros

tatic

act

uatio

n

S-3

SL

O-1

M

inia

turiz

atio

n an

d sc

alin

g

Str

ess

and

stra

in -

def

initi

on ,

Rel

atio

nshi

p be

twee

n te

nsile

str

ess

and

stra

in

Ele

ctro

stat

ic s

ensi

ng a

nd a

ctua

tion-

A

pplic

atio

n -

Iner

tial,

pres

sure

and

tact

ile

sens

or

Pie

zoel

ectr

ic s

ensi

ng a

nd a

ctua

tion-

pi

ezoe

lect

ric m

ater

ial p

rope

rtie

s O

ptic

al M

EM

S-p

assi

ve M

EM

S o

ptic

al

com

pone

nts-

lens

es-m

irror

s S

LO

-2

Sen

sors

and

Act

uato

rs-

Ene

rgy

dom

ains

an

d ex

ampl

e de

vice

s fo

r ea

ch

S-4

S

LO

-1

Mic

ro fa

bric

atio

n pr

oces

s -

Bul

k an

d S

tres

s an

d st

rain

- d

efin

ition

, R

elat

ions

hip

Ele

ctro

stat

ic s

ensi

ng a

nd a

ctua

tion-

Q

uart

z -

PZ

T-

Act

uatio

n fo

r ac

tive

optic

al M

EM

S.

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

59

SL

O-2

S

urfa

ce M

icro

mac

hini

ng

be

twee

n te

nsile

str

ess

and

stra

in

App

licat

ion

- pa

ralle

l pla

te a

ctua

tor

com

b dr

ive

PV

DF

-Z

nO -

App

licat

ions

S-5

S

LO

-1

Sili

con

base

d M

EM

S p

roce

sses

- pr

oces

sing

ani

sotr

opic

wet

etc

hing

F

lexu

ral b

eam

ben

ding

ana

lysi

s un

der

sing

le lo

adin

g co

nditi

on

Pro

blem

s o

n el

ectr

osta

tic s

ensi

ng a

nd

actu

atio

n M

agne

tic a

ctua

tion-

Prin

cipl

es-

Dep

ositi

on

of m

agne

tic m

ater

ials

R

F M

EM

S: S

witc

hes

SL

O-2

Is

otro

pic

wet

etc

hing

S-6

S

LO

-1

Dry

etc

hing

(pl

asm

a et

chin

g, io

n m

illin

g,

RIE

, DR

IE)

Typ

es o

f bea

m, l

ongi

tudi

nal s

trai

n un

der

pure

ben

ding

T

herm

al s

ensi

ng a

nd A

ctua

tions

- se

nsor

s an

d ac

tuat

ors

base

d on

ther

mal

exp

ansi

on

Des

ign

and

fabr

icat

ion

of m

agne

tic c

oil

RF

ME

MS

- F

ilter

s, o

scill

ator

s S

LO

-2

Pho

tolit

hogr

aphy

,

S-7

Thi

n fil

m d

epos

ition

-sp

utte

ring,

ev

apor

atio

n,

Def

lect

ion

of b

eam

- S

prin

g co

nsta

nt

The

rmoc

oupl

es

M

icro

fluid

ics

– C

once

pts

of fl

uid

mec

hani

cs M

EM

S P

acka

ging

Thi

n fil

m d

epos

ition

- L

PC

VD

, PE

CV

D

Pro

blem

s: D

efle

ctio

n of

bea

m-

Spr

ing

cons

tant

T

herm

al r

esis

tors

S-8

S

LO

-1

Thi

n fil

m d

epos

ition

- s

putte

ring,

ev

apor

atio

n, L

PC

VD

, PE

CV

D

Tor

sion

al d

efle

ctio

n, in

trin

sic

stre

ss

App

licat

ion

of th

erm

al s

enso

rs –

Iner

tial,

Flo

w, I

nfra

red.

M

icro

fluid

ics

–App

licat

ion:

Cha

nnel

s,

valv

es

ME

MS

Tes

ting

SL

O-2

T

hin

film

dep

ositi

on -

pla

ting,

spi

n-on

S-9

S

LO-1

N

ew m

ater

ial a

nd fa

bric

atio

n pr

oces

sing

te

chni

ques

R

eson

ance

and

qua

lity

fact

or

Pro

blem

s o

n th

erm

al s

ensi

ng a

nd

actu

atio

n M

icro

fluid

ics

– A

pplic

atio

n v

alve

s R

elia

bilit

y is

sues

in M

EM

S p

acka

ging

S

LO-2

P

oint

s of

con

side

ratio

n fo

r pr

oces

sing

st

ruct

ural

and

sac

rific

ial m

ater

ial.

Lea

rnin

g

Res

ou

rces

1.

Cha

ng L

iu, “

Fou

ndat

ions

of M

EM

S”,

Sec

ond

Edi

tion,

Pea

rson

, 2

017

2.

Tai

-Ran

Hsu

, ME

MS

& M

icro

syst

em D

esig

n an

d M

anuf

actu

ring,

McG

raw

Hill

Edu

catio

n (I

ndia

)

1st E

ditio

n , 2

015.

3.

G

aber

iel M

. Reb

iz, “

RF

ME

MS

The

ory,

Des

ign

and

Tec

hnol

ogy”

, Joh

n W

iley

& S

ons,

201

0.

4.

Mic

rosy

stem

Des

ign

- by

S. S

entu

ria; P

ublis

her:

Spr

inge

r.,

5.

Cha

rles

P. P

oole

and

Fra

nk J

. Ow

ens,

“In

trod

uctio

n to

Nan

otec

hnol

ogy”

, Joh

n W

iley

& S

ons,

200

9.

6.

Julia

n W

.Gar

dner

and

Vija

y K

Var

adha

n, “

Mic

rose

nsor

s, M

EM

S a

nd S

mar

t Dev

ices

”, J

ohn

Wile

y &

son

s,

2013

. 7.

F

unda

men

tals

of M

icro

fabr

icat

ion

- by

M. M

adou

; Pub

lishe

r: C

RC

Pre

ss; 2

edi

tion.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. E

swar

an, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

60

Co

urs

e C

od

e 18

EC

E30

3T

Co

urs

e N

ame

Nan

oel

ectr

on

ic D

evic

es a

nd

Cir

cuit

s C

ou

rse

Cat

ego

ry

E

Pro

fess

iona

l Ele

ctiv

e L

T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

ECC

102J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Iden

tify

the

need

and

effe

cts

of d

evic

e m

inia

turiz

atio

n

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

prin

cipl

es o

f nan

o de

vice

s





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Achievement PSO – 2: Project


Research

CL

R-3

:

Lear

n ab

out n

ew d

evic

es a

t nan

o sc

ale

CL

R-4

:

Cre

ate

insi

ghts

to th

e co

ncep

ts o

f nan

o C

MO

S ci

rcui

ts

CL

R-5

:

Anal

yze

the

desi

gn c

onsi

dera

tions

of t

he c

ircui

ts

CL

R-6

:

Util

ize

the

desi

gn p

roce

dure

in c

ircui

ts

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Rea

lize

the

impo

rtanc

e of

sca

ling

of d

evic

es.

2 80

70

H

M

- -

- -

- -

- -

- -

- -

M

CL

O-2

:

Iden

tify

the

diffe

renc

e of

nan

o de

vice

s fro

m c

onve

ntio

nal d

evic

es.

2 85

75

H

- -

- -

- -

- -

- -

- M

-

- C

LO

-3 :

An

alyz

e th

e pe

rform

ance

mea

sure

s of

var

ious

dev

ices

2

75

70

H

-

- -

H

- -

- -

- -

- -

- H

C

LO

-4 :

C

hoos

e ap

prop

riate

app

licat

ion

of th

e de

vice

2

85

80

H

H

-

- -

- -

- -

- -

- -

- H

C

LO

-5 :

U

nder

stan

d th

e de

sign

con

side

ratio

ns o

f nan

o ci

rcui

ts

2 85

75

H

- -

- M

-

- -

- -

- -

- -

M

CL

O-6

:

Appl

y th

e de

sign

con

cept

s of

nan

o ci

rcui

ts in

real

tim

e ap

plic

atio

ns

2 80

70

H

M

- -

- -

- -

- -

- -

M

- M

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

to

Nan

o D

evic

es

Sili

con

MO

SF

ET

s- N

ove

l Mat

eria

ls a

nd

A

lter

nat

ive

Co

nce

pts

N

ano

Dev

ices

– P

rin

cip

les

and

T

ech

niq

ues

N

ano

- C

MO

S s

calin

g P

rob

lem

s an

d

Imp

licat

ion

s

Mix

ed S

ign

al C

ircu

it D

esig

n

9 9

9 9

9

S-1

S

LO

-1

MO

S tr

ansi

stor

- A

Firs

t Gla

nce

at th

e D

evic

e S

OI M

OS

FE

T, p

artia

lly d

eple

ted

C

lass

ical

tran

spor

t: cl

assi

cal r

esis

tanc

e an

d co

nduc

tanc

e

Des

ign

Met

hodo

logy

in th

e N

ano-

CM

OS

E

ra

Des

ign

Con

side

ratio

ns –

Dev

ice

Mod

elin

g

SL

O-2

T

he M

OS

Tra

nsis

tor

unde

r S

tatic

Con

ditio

n fu

lly d

eple

ted

SO

I Q

uant

um b

allis

tic tr

ansp

ort:

quan

tum

R

esis

tanc

e an

d co

nduc

tanc

e In

nova

tions

nee

ded

to c

ontin

ue

perf

orm

ance

sca

ling

- P

assi

ve C

ompo

nent

s

S-2

S

LO

-1

MO

S T

rans

isto

r C

apac

itanc

es-

Cha

nnel

C

apac

itanc

e S

trai

ned

chan

nel M

OS

FE

T,

Cou

lom

b bl

ocka

de e

ffect

S

ub-1

00-n

m S

calin

g C

halle

nges

- B

ack-

End

-of-

Line

Cha

lleng

es (

Met

alliz

atio

n)-

Des

ign

Usi

ng T

hin

Oxi

de D

evic

es –

Des

ign

Usi

ng T

hick

Oxi

de D

evic

es

SL

O-2

Ju

nctio

n C

apac

itanc

e H

i-k g

ate

diel

ectr

ic, M

etal

gat

e el

ectr

ode

Sin

gle

Ele

ctro

n T

rans

isto

r In

terc

onne

ct s

calin

g-co

pper

wire

te

chno

logy

Lo

w-V

olta

ge T

echn

ique

s

S-3

S

LO

-1

The

Act

ual M

OS

Tra

nsis

tor—

Som

e S

econ

dary

Effe

ct

Dou

ble

gate

MO

SF

ET

P

erfo

rman

ce o

f the

sin

gle-

elec

tron

tr

ansi

stor

Lo

w –

k di

elec

tric

cha

lleng

es-f

utur

e gl

obal

in

terc

onne

ct te

chno

logi

es

Des

ign

Pro

cedu

res

SL

O-2

C

halle

nges

in N

anos

cale

MO

SF

ET

s F

inF

ET

S

ET

tech

nolo

gy a

nd F

ield

effe

ct tr

ansi

stor

s F

ront

-End

-of-

Line

Cha

lleng

es

(Tra

nsis

tors

)-Q

uant

um e

ffect

s m

odel

Ele

ctro

stat

ic D

isch

arge

Pro

tect

ion

S-4

S

LO

-1

Sca

ling

of tr

ansi

stor

dim

ensi

ons

Tun

nel E

ffect

C

arbo

n N

ano

Tub

e(C

NT

) P

olys

ilico

n ga

te ,

Met

al g

ate

elec

trod

es,

Mul

tiple

-Sup

ply

Con

cern

s

SL

O-2

M

oore

’s la

w

Tun

nelin

g th

roug

h a

pote

ntia

l bar

rier

E

lect

roni

c pr

oper

ties

of C

NT

D

irect

tunn

elin

g ga

te le

akag

e-P

aras

itic

capa

cita

nce

Noi

se Is

olat

ion

S

5-6

SL

O-1

S

hort

Cha

nnel

Effe

cts

(SC

E)

: Sub

-th

resh

old

Con

duct

ion,

P

oten

tial e

nerg

y pr

ofile

s fo

r m

ater

ial

inte

rfac

es

Geo

met

rical

str

uctu

re, E

lect

roni

c st

ruct

ure

of C

NT

Tra

nspo

rt p

rope

rtie

s R

elia

bilit

y co

ncer

ns

Gua

rd R

ing

Str

uctu

res

Isol

ated

NM

OS

D

evic

es

SL

O-2

S-7

S

LO

-1

Dra

in In

duce

d B

arrie

r Lo

wer

ing

Met

al -

insu

lato

r, m

etal

-se

mic

ondu

ctor

C

NT

FE

T, c

ompa

rison

of S

i MO

SF

ET

with

C

NT

FE

T

Pro

cess

Con

trol

Rel

iabi

lity

E

pita

xial

Mat

eria

l ver

sus

Bul

k S

ilico

n –

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

61

SL

O-2

V

eloc

ity S

atur

atio

n, H

ot e

lect

rons

M

etal

–in

sula

tor

-met

al ju

nctio

ns

FeF

ET

Li

thog

raph

ic Is

sues

D

ecou

plin

g

S-8

S

LO

-1

Em

erge

nce

of n

ew m

ater

ials

, T

unne

ling

Dio

de

Prin

cipl

e of

Spi

ntro

nics

M

ask

Dat

a E

xplo

sion

P

ower

Bus

ing

SL

O-2

H

i-k m

ater

ials

and

its

issu

es

Res

onan

t Tun

nelin

g di

ode

Spi

n va

lves

, Spi

nFE

T

New

Bre

ed o

f Circ

uit

Inte

grat

ion

Pro

blem

s

S-9

S

LO-1

m

etal

gat

e, c

oppe

r in

terc

onne

ct a

nd

Thr

ee-t

erm

inal

res

onan

t tun

nelin

g de

vice

s M

agne

tic T

unne

l Jun

ctio

ns

– P

hysi

cal D

esig

n –

Mod

elin

g C

halle

nges

C

orne

r R

egio

ns

SLO

-2

low

-k in

terla

yer

diel

ectr

ic

inve

rter

and

logi

c O

R g

ates

bas

ed o

n R

TD

M

RA

M

Nee

d fo

r D

esig

n M

etho

dolo

gy C

hang

es

Nei

ghbo

ring

Circ

uitr

y L

earn

ing

R

eso

urc

es

1.

Rai

ner W

aser

(Ed.

), “N

anoe

lect

roni

cs a

nd In

form

atio

n Te

chno

logy

”,Wile

y-VC

H, T

hird

, Com

plet

ely

Rev

ised

and

Enl

arge

d Ed

ition

, 201

2.

2.

Jan

M. R

abae

y, A

nant

ha C

hand

raka

san,

and

Bor

ivoj

e N

ikol

ic,”

Dig

ital I

nteg

rate

d C

ircui

ts 2

nd

editi

on”,

Pear

son,

200

0.

3.

Ban

P. W

ong,

Anu

rag

Mitt

al, Y

uCao

, Gre

n St

arr,

“Nan

o- C

MO

S C

ircui

t and

Phy

sica

l Des

ign”

, Jo

hn W

illey

and

sons

Pub

licat

ion,

200

5

4.

Geo

rge

W. H

anso

n, “F

unda

men

tals

of N

anoe

lect

roni

cs”,

Pren

tice

Hal

l, 20

073.

Karl

Gos

er, P

eter

G

lÖse

kötte

r,Jan

Die

nstu

hl, “

Nan

oele

ctro

nics

and

Nan

osys

tem

s”, S

prin

ger,

2004

5.

Vl

adim

ir V.

Miti

n, V

iatc

hesl

av A

. Koc

hela

p, M

icha

el A

. Stro

scio

, “In

trodu

ctio

n to

Nan

oele

ctro

nics

: Sci

ence

, N

anot

echn

olog

y, E

ngin

eerin

g, a

nd A

pplic

atio

ns”,

Cam

brid

ge U

nive

rsity

Pre

ss, 2

012

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 40

%

- 40

%

- 40

%

- 40

%

- U

nder

stan

d

Leve

l 2

App

ly

40%

-

40%

-

40%

-

40%

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 20

%

- 20

%

- 20

%

- 20

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. A

runa

Priy

a, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

62

Co

urs

e C

od

e 18

EC

E30

4T

Co

urs

e N

ame

Mic

row

ave

Inte

grat

ed C

ircui

ts

Co

urs

e C

ateg

ory

E

P

rofe

ssio

nal

Ele

ctiv

e L

T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

ECC

105T

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Cre

ate

the

insi

ghts

of m

icro

wav

e ci

rcui

ts

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Anal

yze

mat

chin

g ne

twor

ks a

nd fi

lter d

esig

n





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Iden

tify

and

impl

emen

t am

plifi

ers

and

osci

llato

rs

CL

R-4

:

Layo

ut th

e ty

pes

of m

ixer

s an

d co

ntro

l circ

uits

CL

R-5

:

Und

erst

and

tech

niqu

es u

sed

to fa

bric

ate

and

mea

sure

men

t of M

ICs

CL

R-6

:

Intro

duce

Ana

lyze

and

real

ize

mic

row

ave

circ

uits

and

its

tech

niqu

es

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Und

erst

and

the

diffe

rent

type

s of

MIC

s, d

iffer

ent M

IC d

evic

es a

nd p

aram

eter

s to

be

used

in M

ICs

1 60

60

H

- -

- -

- -

- -

- -

- -

- M

CL

O-2

:

Det

erm

ine

the

conc

ept o

f fre

quen

cy p

aram

eter

s, Z

Y sm

ith c

hart

and

its in

terp

reta

tion

in th

e an

alys

is a

nd d

esig

n of

m

atch

ing

circ

uits

2

60

60

L

H

- M

-

- -

- -

- -

- -

- M

CL

O-3

:

Expl

ain

the

desi

gn o

f Am

plifi

ers

and

Osc

illato

rs

1 60

60

H

- -

L -

- -

- -

- -

- -

- H

C

LO

-4 :

C

lass

ify th

e di

ffere

nt M

ixer

type

s an

d M

icro

wav

e di

odes

2

60

60

H

-

- L

- -

- -

- -

- -

- -

M

CL

O-5

:

Cat

egor

ize

mic

ro fa

bric

atio

n of

MIC

dev

ices

and

mea

sure

men

t tec

hniq

ues

of M

ICs

2 60

60

H

- -

M

- -

- -

- -

- M

-

- H

C

LO

-6 :

A

pply

fabr

icat

ion

and

mea

sure

men

t te

chni

ques

to M

IC d

evic

es

2 60

60

H

- -

L -

- -

- -

- -

M

M

- M

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

to

MIC

M

atch

ing

Cir

cuit

s M

icro

wav

e A

mp

lifie

rs a

nd

Osc

illat

ors

M

ixer

s an

d M

icro

wav

e D

iod

es

MIC

Mea

sure

men

t T

ech

niq

ues

9 9

9 9

9

S-1

S

LO

-1

Intr

oduc

tion

to M

ICs

Circ

uit R

epre

sent

atio

n of

two

port

R

F/M

icro

wav

e N

etw

orks

Intr

oduc

tion

to a

mpl

ifier

s In

trod

uctio

n to

Mix

ers

Mic

row

ave

Inte

grat

ed C

ircui

ts :

Intr

oduc

tion

to S

OC

, SO

P

SL

O-2

S

tabi

lity

cons

ider

atio

ns in

act

ive

netw

orks

S-2

S

LO

-1

Fre

quen

cy B

ands

Lo

w F

requ

ency

Par

amet

ers

Gai

n C

onsi

dera

tion

in A

mpl

ifier

s M

ixer

Typ

es

MIC

Mat

eria

ls.

SL

O-2

Lu

mpe

d ve

rsus

Dis

trib

uted

Circ

uits

H

igh

Fre

quen

cy P

aram

eter

s

S-3

S

LO

-1

Beh

avio

r of

fini

te le

ngth

tran

smis

sion

line

s T

rans

mis

sion

Mat

rix

Noi

se C

onsi

dera

tion

in a

ctiv

e ne

twor

ks

Con

vers

ion

Loss

H

ybrid

ver

sus

Mon

olith

ic M

ICs

S

LO

-2

S-4

S

LO

-1

Gen

eral

Cha

ract

eris

tics

of P

C B

oard

s Z

Y S

mith

Cha

rt

Bro

adba

nd A

mpl

ifier

des

ign

S

SB

Mix

ers

Mul

tichi

p M

odul

e T

echn

olog

y

SL

O-2

Lo

w N

oise

Am

plifi

er D

esig

n D

SB

Mix

ers

S-5

S

LO

-1

Tra

nsm

issi

on L

ines

on

PC

Boa

rds

ZY

Sm

ith C

hart

In

trod

uctio

n to

osc

illat

ors

D

esig

n of

Mix

ers:

Sin

gle

End

ed M

ixer

s F

abric

atio

n T

echn

ique

s S

LO

-2

S-6

S

LO

-1

Pas

sive

s m

ade

from

Tra

nsm

issi

on L

ines

D

esig

n of

Mat

chin

g C

ircui

ts u

sing

Lu

mpe

d E

lem

ents

Osc

illat

or v

ersu

s A

mpl

ifier

Des

ign

Sin

gle

Bal

ance

d M

ixer

s M

inia

turiz

atio

n te

chni

ques

S

LO

-2

S-7

S

LO

-1

Res

onat

ors

Des

ign

of M

atch

ing

Circ

uits

usi

ng

Lum

ped

Ele

men

ts

Osc

illat

ion

cond

ition

s

Sub

Har

mon

ic D

iode

Mix

ers

T

est f

ixtu

re m

easu

rem

ents

S

LO

-2

Mat

chin

g N

etw

ork

Des

ign

usin

g D

istr

ibut

ed

Ele

men

ts

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

63

S-8

S

LO

-1

Com

bine

rs a

nd S

plitt

ers

M

atch

ing

Net

wor

k D

esig

n us

ing

Dis

trib

uted

E

lem

ents

D

esig

n an

d st

abili

ty c

onsi

dera

tions

of

Mic

row

ave

Tra

nsis

tor

Osc

illat

ors.

M

icro

wav

e D

iode

s pr

obe

stat

ion

mea

sure

men

ts

S

LO

-2

S-9

S

LO

-1

Cou

pler

s F

ilter

des

ign

Des

ign

and

stab

ility

con

side

ratio

ns o

f M

icro

wav

e T

rans

isto

r O

scill

ator

s.

Pha

se S

hifte

rs a

nd P

IN

Dio

de A

ttenu

ator

s th

erm

al a

nd c

ryog

enic

mea

sure

men

ts

SL

O-2

Lea

rnin

g

Res

ou

rces

1. T

hom

as H

.Lee

, “P

lana

r M

icro

wav

e E

ngin

eerin

g”, C

ambr

idge

Uni

vers

ity P

ress

, 200

4

2. M

atth

ew M

. Rad

man

esh,

“R

adio

Fre

quen

cy a

nd M

icro

wav

e E

lect

roni

cs”,

Pea

rson

Edu

catio

n, II

Edi

tion

2002

3.

Gui

llerm

o G

onza

lez,

“M

icro

wav

e T

rans

isto

r A

mpl

ifier

s –

Ana

lysi

s an

d D

esig

n”, I

I Edi

tion,

Pre

ntic

e H

all,

New

Jer

sy.

4. R

aven

der

Goy

al, “

Mon

olith

ic M

IC; T

echn

olog

y &

Des

ign”

, Art

ech

Hou

se, 1

989.

5.

Gup

ta K

.C. a

nd A

mar

jit S

ingh

, “M

icro

wav

e In

tegr

ated

Circ

uits

”, J

ohn

Wile

y, N

ew Y

ork,

197

5.

6. H

offm

an R

.K. “

Han

dboo

k of

Mic

row

ave

Inte

grat

ed C

ircui

ts”,

Art

ech

Hou

se, B

osto

n, 1

987.

7.

Ulri

ch L

. Roh

de a

nd D

avid

P.N

., “

RF

/ M

icro

wav

e C

ircui

t Des

ign

for

Wire

less

App

licat

ions

”, J

ohn

Wile

y,

2000

. 8.

C. G

entil

i, “M

icro

wav

e A

mpl

ifier

s an

d O

scill

ator

s”, N

orth

Oxf

ord

Aca

dem

ic, 1

986.

9.

Sam

uel.

Y. L

iao,

“M

icro

wav

e C

ircui

t Ana

lysi

s an

d A

mpl

ifier

Des

ign”

, Pre

ntic

e H

all.

Inc.

, 198

7.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. S

ande

ep K

umar

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

T. R

amar

ao, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

64

Co

urs

e C

od

e 18

EC

E30

5J

Co

urs

e N

ame

AR

M -

SoC

C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18EC

E204

J C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Acqu

ire k

now

ledg

e on

har

dwar

e ar

chite

ctur

e of

AR

M C

orte

x-M

cor

e

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Expl

ore

the

AHB

arch

itect

ure





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Sele

ct A

HB

perip

hera

ls fo

r int

erfa

cing

C

LR

-4 :

Ex

perim

ent w

ith h

igh

spee

d pe

riphe

rals

CL

R-5

:

Dev

elop

app

licat

ions

with

CM

SIS

CL

R-6

:

Und

erst

and

and

lear

n to

use

AR

M C

orte

x-M

pro

cess

or a

rchi

tect

ure,

and

dei

ce le

vel p

rogr

amm

ing.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expl

ain

har

dwar

e an

d re

gist

er a

rchi

tect

ure

of A

RM

Cor

tex-

M b

ased

pro

cess

ors

1 65

60

- H

-

- -

- -

- -

- -

- H

-

- C

LO

-2 :

C

lass

ify A

HB

and

its s

igna

ls

1 65

60

- H

-

- -

- -

- -

- -

- H

-

-

CL

O-3

:

Cho

ose

and

prog

ram

hig

h sp

eed

perip

hera

ls

2 65

60

-

- H

M

-

- -

- -

- -

H

-

CL

O-4

:

Asse

ss h

igh

spee

d pe

riphe

rals

with

cas

e st

udy.

3

65

60

-

L -

H

M

- -

- -

- -

- -

H

-

CL

O-5

:

Inte

rpre

t pro

gram

dev

ice

driv

er a

nd c

reat

e lib

rarie

s.

3 65

60

-

- H

-

- -

- -

- -

- -

H

-

CL

O-6

:

Surv

ey s

yste

m p

rogr

amm

ing

of A

RM

Cor

tex-

M b

ased

pro

cess

or.

2 65

60

- L

- H

M

-

- -

- -

- -

H

- -

Du

rati

on

(h

ou

r)

12

AR

M C

ort

ex-M

arc

hit

ectu

re

12

AR

M I

nte

rnal

bu

s

12

AR

M p

her

iph

eral

s

12

SO

C p

rog

ram

min

g

12

Cas

e st

ud

ies

S-1

S

LO-1

In

trodu

ctio

n to

Pro

gram

mab

le S

oC

AMBA

3 A

HB

Lite

arc

hite

ctur

e AH

B U

ART

perip

hera

l Pr

ogra

mm

ing

an S

OC

usi

ng C

lang

uage

G

raph

ics

LCD

inte

rfaci

ng

SLO

-2

Intro

duct

ion

to P

rogr

amm

able

SoC

AM

BA 3

AH

B Li

te a

rchi

tect

ure

AHB

UAR

T pe

riphe

ral

Prog

ram

min

g an

SO

C u

sing

C la

ngua

ge

Gra

phic

s LC

D in

terfa

cing

S-2

S

LO-1

AR

M a

rchi

tect

ure

AMBA

3 A

HB

Lite

arc

hite

ctur

e AH

B U

ART

perip

hera

l AP

B Bu

s Bo

ard

supp

ort p

acka

ge

SLO

-2

ARM

arc

hite

ctur

e AM

BA 3

AH

B Li

te a

rchi

tect

ure

AHB

UAR

T pe

riphe

ral

APB

Bus

Boar

d su

ppor

t pac

kage

S

3-4

SLO

-1

Lab

-1:A

RM

Kei

l ID

E u

sag

e –

sam

ple

AR

M p

rog

ram

. L

ab 4

: S

tud

y o

f A

HB

per

iph

eral

L

ab 7

: M

ultin

ode

I2C

Bus

L

ab 1

0: M

akin

g a

dev

ice

dri

ver

Lab

13:

Cas

e st

ud

y –

2 S

LO-2

S-5

S

LO-1

AR

M R

egis

ter a

rchi

tect

ure

AHB

SRAM

con

trolle

r AH

B tim

er

ARM

CM

SIS

Ethe

rnet

inte

rfaci

ng

SLO

-2

ARM

Reg

iste

r arc

hite

ctur

e AH

B SR

AM c

ontro

ller

AHB

timer

AR

M C

MSI

S Et

hern

et in

terfa

cing

S-6

S

LO-1

AR

M a

ssem

bly

lang

uage

AH

B SR

AM c

ontro

ller

AHB-

APB

brid

ge

Dev

ice

driv

ers

Ethe

rnet

inte

rfaci

ng

SLO

-2

ARM

ass

embl

y la

ngua

ge

Rev

iew

and

dis

cuss

ions

AH

B-AP

B br

idge

D

evic

e dr

iver

s Et

hern

et in

terfa

cing

S

7-8

SLO

-1

Lab

2:

Ass

emb

ly la

ng

uag

e p

rog

ram

min

g o

f A

RM

pro

cess

or

usi

ng

Kei

l ID

E

Lab

5:

AR

M m

emo

ry m

anag

emen

t

Lab

8:

Ap

plic

atio

n o

f ti

mer

s L

ab 1

1: U

sin

g C

MS

IS

Lab

14:

Mo

del

lab

exa

min

atio

n

SLO

-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

65

Lea

rnin

g

Res

ou

rces

1.

Stev

e Fu

rber

, “AR

M S

yste

m o

n a

Chi

p Ar

chite

ctur

e –

2nd E

ditio

n”, P

ears

on E

duca

tion,

200

0.

2.

“AM

BA -3

APB

Pro

toco

l”, A

RM

Lim

ited,

200

3.

3.

“AM

BA -3

AH

B Li

te P

roto

col”,

AR

M L

imite

d, 2

003.

4.

Th

eory

/Lab

teac

hing

mat

eria

ls, “

Intro

duct

ion

to S

oC k

it”, A

RM

Edu

catio

n m

edia

, 201

8.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. P

rof.

V. N

atar

ajan

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

S-9

S

LO-1

AR

M C

orte

x-M

Arc

hite

ctur

e -1

AH

B VG

A pe

riphe

ral

Fast

GPI

O p

rogr

amm

ing

Appl

icat

ion

prog

ram

min

g St

uden

t Sem

inar

/ di

scus

sion

s

SLO

-2

ARM

Cor

tex-

M A

rchi

tect

ure

-1

AHB

VGA

perip

hera

l Fa

st G

PIO

pro

gram

min

g Ap

plic

atio

n pr

ogra

mm

ing

Stud

ent S

emin

ar /

disc

ussi

ons

S-1

0 S

LO-1

AR

M C

orte

x-M

Arc

hite

ctur

e -2

(p

ipel

ines

) AH

B VG

A pe

riphe

ral

Inte

rrupt

mec

hani

sm o

f AR

M

Cas

e st

udy

- 1

Stud

ent S

emin

ar /

disc

ussi

ons

SLO

-2

ARM

Cor

tex-

M A

rchi

tect

ure

-2

AHB

VGA

perip

hera

l In

terru

pt m

echa

nism

of A

RM

C

ase

stud

y - 2

St

uden

t Sem

inar

/ di

scus

sion

s

S

11-1

2

SLO

-1

Lab

3:

Par

alle

l po

rt p

rog

ram

min

g

Lab

6:

Gra

ph

ics

app

licat

ion

L

ab 9

: E

xper

imen

tin

g In

terru

pts,

Ti

mer

s L

ab 1

2: S

tud

y o

f U

SB

inte

rfac

e L

ab 1

5: F

inal

lab

exa

min

atio

n

SLO

-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

66

Co

urs

e C

od

e 18

EC

E30

6J

Co

urs

e N

ame

AR

M b

ased

Dig

ital S

igna

ls P

roce

ssin

g C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18EC

E204

J C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Expl

ore

the

conc

epts

of D

SP, d

iscr

ete

time

sign

als

and

its p

rope

rties

.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Appl

y tra

nsfo

rms

in s

olvi

ng d

igita

l sig

nal p

roce

ssin

g





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Dev

elop

FIR

filte

rs fo

r var

ious

app

licat

ions

CL

R-4

:

Mak

e us

e of

IIT

filte

rs fo

r var

ious

app

licat

ions

CL

R-5

:

Expe

rimen

t with

ada

ptiv

e fil

ter t

echn

ique

s

CL

R-6

:

Test

for D

SP in

em

bedd

ed A

RM

Cor

tex-

M p

roce

ssor

pla

tform

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Rec

all

theo

ry a

nd a

pplic

atio

n of

dis

cret

e tim

e si

gnal

s 1

60

60

H

H

CL

O-2

:

Solv

e pr

oble

ms

usin

g Z-

trans

form

s, D

FT a

nd F

FT.

2 60

60

H

M

H

CL

O-3

:

Anal

yze

FiR

filte

r con

cept

s an

d im

plem

ent i

n C

. 2

60

60

L

H

M

H

C

LO

-4 :

In

spec

t IIR

filte

r con

cept

s an

d im

plem

ent i

n C

2

60

60

L

H

M

H

C

LO

-5 :

Ap

prai

se a

dapt

ive

filte

r des

ign

theo

ry, m

etho

ds a

nd it

s us

es.

3 60

60

M

H

L

H

CL

O-6

:

Appl

y th

e th

eory

and

impl

emen

tatio

n as

pect

s of

DSP

in A

RM

Cor

tex-

M b

ased

pro

cess

or p

latfo

rm.

2 60

60

H

M

H

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Bas

ics

of

dig

ital

sig

nal

s

Lea

rnin

g U

nit

/ M

od

ule

2

Tra

nsf

orm

s fo

r D

SP

Lea

rnin

g U

nit

/ M

od

ule

3

FIR

filt

ers

Lea

rnin

g U

nit

/ M

od

ule

4

IIR f

ilter

s

Lea

rnin

g U

nit

/ M

od

ule

5

DS

P a

pp

licat

ion

s

12

12

12

12

12

S-1

S

LO

-1

DT

Sig

nals

-bas

ics

prop

ertie

s &

Ope

ratio

ns

on D

T s

igna

ls

Z-T

rans

form

Pro

pert

ies

Des

ign

of F

inite

Impu

lse

Res

pons

e F

ilter

s-S

ymm

etric

and

Ant

isym

met

ric F

IR fi

lters

F

requ

ency

Res

pons

e an

d C

hara

cter

istic

s of

Ana

log

Filt

ers

Intr

oduc

tion-

Ste

epes

t Des

cent

Met

hod-

Leas

t Mea

n S

quar

es M

etho

d

SL

O-2

D

T S

igna

ls-b

asic

s pr

oper

ties

&O

pera

tions

on

DT

sig

nals

Z-T

rans

form

Pro

pert

ies

Des

ign

of F

inite

Impu

lse

Res

pons

e F

ilter

s-S

ymm

etric

and

Ant

isym

met

ric F

IR fi

lters

F

requ

ency

Res

pons

e an

d C

hara

cter

istic

s of

Ana

log

Filt

ers

Intr

oduc

tion-

Ste

epes

t Des

cent

Met

hod-

Leas

t Mea

n S

quar

es M

etho

d

S-2

S

LO

-1

DT

sys

tem

s-P

rope

rtie

s of

DT

Sys

tem

s –

LTI s

yste

m

Inve

rse

Z-T

rans

form

-sol

ving

Diff

eren

ce

Equ

atio

n D

esig

n of

Lin

ear-

Pha

se F

IR fi

lters

Usi

ng

win

dow

met

hods

IIR

Filt

er D

esig

n by

Impu

lse

Inva

rianc

e A

dapt

ive

Filt

ers:

Pre

dict

ion

and

Sys

tem

Id

entif

icat

ion

SL

O-2

D

T s

yste

ms-

Pro

pert

ies

of D

T S

yste

ms

–LT

I sys

tem

Inve

rse

Z-T

rans

form

-sol

ving

Diff

eren

ce

Equ

atio

n D

esig

n of

Lin

ear-

Pha

se F

IR fi

lters

Usi

ng

win

dow

met

hods

IIR

Filt

er D

esig

n by

Impu

lse

Inva

rianc

e A

dapt

ive

Filt

ers:

Pre

dict

ion

and

Sys

tem

Id

entif

icat

ion

S

3-4

SL

O-1

L

ab 1

: In

tro

du

ctio

n-

Kei

l MD

K-A

RM

ap

plic

atio

n d

evel

op

men

t E

nvi

ron

men

t.

Lab

4:

LT

I Sys

tem

Imp

lem

enta

tio

n

Lab

7:

Filt

er S

tru

ctu

res

in t

he

CM

SIS

-D

SP

Lib

rary

L

ab 1

0: II

R F

ilter

Str

uct

ure

s in

th

e C

MS

IS-D

SP

Lib

rary

Lab

13:

CM

SIS

Imp

lem

enta

tio

n o

f th

e L

MS

an

d N

orm

aliz

ed

LM

S m

eth

od

s S

LO

-2

S-5

S

LO

-1

Con

volu

tion

and

Cor

rela

tion

DFT

-revi

ew; p

robl

ems

Des

ign

of L

inea

r- Ph

ase

FIR

filte

rs U

sing

w

indo

w m

etho

ds

Des

ign

of B

utte

rwor

th fi

lter u

sing

Bilin

ear

Tran

sfor

mat

ion

Adap

tive

Filte

rs: E

qual

izat

ion

and

Noi

se

Can

cella

tion

SL

O-2

C

onvo

lutio

n an

d C

orre

latio

n D

FT-re

view

; pro

blem

s D

esig

n of

Lin

ear-

Phas

e FI

R fi

lters

Usi

ng

win

dow

met

hods

D

esig

n of

But

terw

orth

filte

r usi

ng B

ilinea

r Tr

ansf

orm

atio

n Ad

aptiv

e Fi

lters

: Equ

aliz

atio

n an

d N

oise

C

ance

llatio

n

S-6

S

LO

-1

CT-

to D

T C

onve

rsio

n Sa

mpl

ing

Theo

rem

in

the

Tim

e D

omai

n D

IT-F

FT R

adix

2 b

utte

rfly

deriv

atio

n -

prob

lem

s D

esig

n of

Opt

imum

Equ

iripp

le L

inea

r- Ph

ase

FIR

filte

rs

Che

bysh

ev F

ilter

Des

igns

bas

ed o

n th

e Bi

linea

r Tra

nsfo

rmat

ion

Adap

tive

Filte

rs: A

dapt

ive

FIR

Filt

er

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

67

SL

O-2

C

T-to

DT

Con

vers

ion

Sam

plin

g Th

eore

m

in th

e Ti

me

Dom

ain

DIT

-FFT

Rad

ix 2

but

terfl

y de

rivat

ion

-pr

oble

ms

Des

ign

of O

ptim

um E

quiri

pple

Lin

ear-

Phas

e FI

R fi

lters

C

heby

shev

Filt

er D

esig

ns b

ased

on

the

Bilin

ear T

rans

form

atio

n Ad

aptiv

e Fi

lters

: Ada

ptiv

e FI

R F

ilter

S

7-8

SL

O-1

L

ab 2

: D

igit

al S

ign

als-

op

erat

ion

s o

n

Dig

ital

Sig

nal

s L

ab 5

: C

alcu

lati

ng

th

e D

FT

-FF

T

Lab

8:

FIR

Filt

er D

esig

n

Lab

11:

IIR

Filt

er D

esig

n

Lab

14:

Mo

del

Pra

ctic

als

SL

O-2

S-9

S

LO

-1

Sam

plin

g T

heor

em in

the

Fre

quen

cy

Dom

ain-

Alia

sing

F

ilter

ing

in th

e F

D-C

ircul

ar &

Con

volu

tion

Des

ign

of O

ptim

um E

quiri

pple

Lin

ear-

P

hase

FIR

filte

rs

Che

bysh

ev F

ilter

Des

igns

bas

ed o

n th

e Im

puls

e In

varia

nce

Rev

iew

, Pro

blem

s an

d D

iscu

ssio

ns

SL

O-2

S

ampl

ing

The

orem

in th

e F

requ

ency

D

omai

n-A

liasi

ng

Filt

erin

g in

the

FD

-Circ

ular

& C

onvo

lutio

n D

esig

n of

Opt

imum

Equ

iripp

le L

inea

r-

Pha

se F

IR fi

lters

C

heby

shev

Filt

er D

esig

ns b

ased

on

the

Impu

lse

Inva

rianc

e R

evie

w, P

robl

ems

and

Dis

cuss

ions

S-1

0 S

LO

-1

Rec

onst

ruct

ion

in th

e F

requ

ency

Dom

ain

&

time

Dom

ain

Filt

erin

g in

the

FD

-Lin

ear

Con

volu

tion

Filt

er D

esig

n us

ing

Sof

twar

e F

ilter

Des

ign

usin

g S

oftw

are

Rev

iew

, Pro

blem

s an

d D

iscu

ssio

ns

SL

O-2

R

econ

stru

ctio

n in

the

Fre

quen

cy D

omai

n &

tim

e D

omai

n F

ilter

ing

in th

e F

D-L

inea

r C

onvo

lutio

n F

ilter

Des

ign

usin

g S

oftw

are

Filt

er D

esig

n us

ing

Sof

twar

e R

evie

w, P

robl

ems

and

Dis

cuss

ions

S

11-1

2 S

LO

-1

Lab

3:

A-D

& D

-A c

on

vers

ion

-Ch

ang

ing

th

e S

amp

ling

Fre

qu

ency

L

ab 6

: F

ilter

ing

in t

he

Fre

qu

ency

D

om

ain

L

ab 9

: Im

ple

men

tin

g a

FIR

Filt

er u

sin

g

Dif

fere

nt

Str

uct

ure

s L

ab 1

2: Im

ple

men

tin

g a

Filt

er u

sin

g

Dif

fere

nt

Str

uct

ure

s L

ab 1

5: U

niv

ersi

ty p

ract

ical

s S

LO

-2

Lea

rnin

g

Res

ou

rces

1.

C

em U

nsal

an, M

. Yer

kin

Yucc

el, H

. Den

iz G

urha

m, "

Dig

ital S

igna

l Pro

cess

ing

Usi

ng A

RM

Cor

tex-

M

base

d m

icro

cont

rolle

rs, T

heor

y an

d Pr

actic

e", A

RM

Edu

catio

n M

edia

, 201

8.

2.

The

ory/

Lab

teac

hing

mat

eria

ls, A

RM

Edu

catio

nal M

edia

.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. P

rof.

V. N

atar

ajan

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Mr.

U. H

ari,

SRM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

68

Co

urs

e C

od

e 18

EC

E30

7J

Co

urs

e N

ame

App

lied

Mac

hine

Lea

rnin

g C

ou

rse

Cat

ego

ry

E P

rofe

ssio

nal E

lect

ive

L T

P

C

2 0

2 3

P

re-r

equ

isit

e C

ou

rses

N

il C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

andi

ng th

e M

achi

ne L

earn

ing

conc

ept a

nd ty

pes

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

C

LR

-2 :

An

alyz

e th

e M

L a

lgor

ithm

per

form

ance

byL

earn

ing

Cur

ve a

nd e

rror





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Appl

ying

ML

alg

orith

m f

or s

olvi

ng p

ract

ical

pro

blem

s

CL

R-4

:

Cre

ate

insi

ghts

to th

e co

ncep

ts a

nd p

rogr

amm

ing

of s

uper

vise

d an

d un

supe

rvis

ed M

L m

etho

ds

CL

R-5

:

Anal

yze

and

unde

rsta

nd th

e w

orki

ng p

rinci

ple

and

mod

el d

evel

opm

ent o

f Ev

olut

iona

ry L

earn

ing

CL

R-6

:

Cre

ate

insi

ghts

to th

e co

ncep

ts a

nd p

rogr

amm

ing

of R

einf

orce

men

t lea

rnin

g

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expl

ain

Gen

etic

Alg

orith

m fo

r evo

lutio

nary

lear

ning

1

60

60

H

-

M

- -

- -

- -

- -

- -

- H

CL

O-2

:

Use

rein

forc

emen

t lea

rnin

g 2

60

60

H

-

H

L

- -

- -

- -

- -

- H

CL

O-3

:

Appl

y lin

ear m

odel

of l

inea

r reg

ress

ion

and

SVM

for c

lass

ifica

tion

prob

lem

2

60

60

H

-

M

L -

- -

- -

- -

M

- H

CL

O-4

:

Expe

rimen

t ne

ural

net

wor

k an

d C

NN

for c

lass

ifica

tion

prob

lem

2

60

60

H

-

M

L -

- -

- -

- -

M

- H

CL

O-5

:

Dem

onst

rate

Dec

isio

n Tr

ees

, clu

ster

ing

For c

lass

ifica

tion

prob

lem

2

60

60

H

-

M

L -

- -

- -

- -

M

- H

CL

O-6

:

Anal

yze

prob

abilit

y m

odel

of B

ayes

ian

deci

sion

theo

ry a

nd H

MM

for

cla

ssifi

catio

n pr

oble

m

2 60

60

H

-

M

L -

- -

- -

- -

M

- H

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

to

Mac

hin

e L

earn

ing

an

d

Lin

ear

Mo

del

M

ult

ipla

yer

Per

cep

tro

ns

and

Dec

isio

n

Tre

e C

lust

erin

g, S

OM

an

d H

MM

B

ayes

Net

wo

rk, R

ein

forc

emen

t L

earn

ing

an

d C

NN

G

enet

ic A

lgo

rith

m a

nd

Ap

plic

atio

n o

f M

L

12

12

12

12

12

S-1

S

LO

-1

Intro

duct

ion

to M

achi

ne le

arni

ng: T

ypes

of

Mac

hine

Lea

rnin

g - S

uper

vise

d Le

arni

ng –

U

nsup

ervi

sed,

Lea

rnin

g M

ultip

laye

r, Pe

rcep

trons

C

lust

erin

g

Baye

sian

dec

isio

n th

eory

Th

e G

enet

ic A

lgor

ithm

SL

O-2

re

info

rcem

ent l

earn

ing

, The

Cur

se o

f di

men

sion

ality

M

ultip

laye

r, Pe

rcep

trons

K-

Mea

ns c

lust

erin

g Ba

yesi

an d

ecis

ion

theo

ry

The

Gen

etic

Alg

orith

m

S-2

S

LO

-1

Bias

and

Var

ianc

e, L

earn

ing

Cur

ve

Mul

tipla

yer,

Perc

eptro

ns

Hie

rarc

hica

l clu

ster

ing

Baye

sian

est

imat

ion

Faci

al E

xpre

ssio

n R

ecog

nitio

n

SL

O-2

C

lass

ifica

tion,

Erro

r and

noi

se,li

near

re

gres

sion

M

ultip

laye

r, Pe

rcep

trons

Ag

glom

erat

ive

clus

terin

g Ba

yes

netw

ork

Hum

an E

mot

ion

Res

earc

h

S-3

,4

SL

O-1

L

ab 1

: Lin

ear

Reg

ress

ion

L

ab 4

: M

ult

ipla

yer,

Per

cep

tro

ns

Lab

7: K

-Mea

ns

clu

ster

ing

L

ab 1

0: B

ayes

Net

wo

rk

Lab

13:

Gen

etic

Alg

ori

thm

S

LO

-2

S-5

S

LO

-1

Supp

ort V

ecto

r Mac

hine

s ex

ampl

e of

usi

ng M

LP

Vect

or Q

uant

izat

ion

Rei

nfor

cem

ent l

earn

ing

Faci

al E

xpre

ssio

n R

ecog

nitio

n Sy

stem

SL

O-2

Su

ppor

t Vec

tor M

achi

nes

exam

ple

of u

sing

MLP

Ve

ctor

Qua

ntiz

atio

n R

einf

orce

men

t lea

rnin

g Fa

cial

Exp

ress

ion

Rec

ogni

tion

Syst

em

S-6

S

LO

-1

Supp

ort V

ecto

r Mac

hine

s ex

ampl

e of

usi

ng M

LP

The

Self-

Org

aniz

ing

Feat

ure

Map

R

einf

orce

men

t lea

rnin

g Sp

eech

Em

otio

n R

ecog

nitio

n

SL

O-2

Su

ppor

t Vec

tor M

achi

nes

exam

ple

of u

sing

MLP

Th

e Se

lf-O

rgan

izin

g Fe

atur

e M

ap

Rei

nfor

cem

ent l

earn

ing

Spee

ch E

mot

ion

Rec

ogni

tion

S-7

,8

SL

O-1

L

ab 2

: S

up

po

rt V

ecto

r M

ach

ines

L

ab 5

: M

LP

ap

plic

atio

n

Lab

8:

SO

FM

L

ab 1

1: R

ein

forc

emen

t le

arn

ing

L

ab 1

4: S

pee

ch E

mo

tio

n R

eco

gn

itio

n

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

69

SL

O-2

B

asic

cla

ssif

icat

ion

S-9

S

LO

-1

basi

cs o

f neu

ral n

etw

ork

Dec

isio

n Tr

ees-

cla

ssifi

catio

n H

MM

U

nder

stan

ding

Con

volu

tions

N

eura

l Net

wor

k M

ulti-

Laye

r Per

cept

ron

Mod

elin

g Fo

r Sur

face

Qua

lity

Pred

ictio

n in

Las

er M

achi

ning

S

LO

-2

Per

cept

rons

re

gres

sion

tree

, H

MM

U

nder

stan

ding

Con

volu

tions

S-1

0

SL

O-1

LI

NEA

R S

EPAR

ABIL

ITY

prun

ing,

rule

from

tree

and

dat

a H

MM

C

NN

Bui

ldin

g Bl

ocks

M

achi

ne L

earn

ing

in C

yber

secu

rity-

Su

perv

ised

Lea

rnin

g fo

r Mis

use/

Sign

atur

e D

etec

tion

SL

O-2

Pe

rcep

trons

and

intro

duct

ion

to

Mul

tipla

yer,

Perc

eptro

ns

mul

tivar

iate

tree

H

MM

C

NN

Bui

ldin

g Bl

ocks

M

achi

ne L

earn

ing

in C

yber

secu

rity-

Su

perv

ised

Lea

rnin

g fo

r Mis

use/

Sign

atur

e D

etec

tion

S-

11,1

2

SL

O-1

L

ab 3

: P

erce

ptr

on

s L

ab 6

: D

ecis

ion

Tre

es

Lab

9:

HM

M

Lab

12:

CN

N

Lab

15:

Min

i pro

ject

S

LO

-2

Lea

rnin

g

Res

ou

rces

1.

Ethe

m A

lpay

din,

“Int

rodu

ctio

n to

Mac

hine

Lea

rnin

g”, 3

rd e

ditio

n,M

IT P

ress

,201

4.

2.

Step

hen

Mar

slan

d, “M

achi

ne L

earn

ing

–An

Algo

rithm

ic P

ersp

ectiv

e”, 2

nd e

ditio

n, C

RC

Pre

ss,2

015.

3.

Su

mee

t Dua

and

Xia

n D

u , “

Dat

a M

inin

g an

d M

achi

ne L

earn

ing

in C

yber

secu

rity”

,CR

C P

ress

, 201

1.

4.

Auré

lien

Gér

on H

ands

-On

Mac

hine

Lea

rnin

g w

ith S

ciki

t-Lea

rn a

nd T

enso

rFlo

w: C

once

pts,

Too

ls,

and

Tech

niqu

es to

Bui

ld In

tellig

ent S

yste

ms.

O'R

eilly

Med

ia,2

017.

5.

Yaga

ng Z

hang

, “Ap

plic

atio

n of

Mac

hine

Lea

rnin

g”, P

ublis

hed

by In

-Tec

h, 2

010.

6.

St

arte

r Bun

dle,

“Dee

p Le

arni

ng: A

Pra

ctiti

oner

's A

ppro

ach”

,O'R

eilly

Med

ia,2

017.

7.

D

r. Ad

rian

Ros

ebro

ck, “

Dee

p Le

arni

ng fo

r Com

pute

r Vis

ion

with

Pyt

hon”

, Pac

kt P

ublis

her,2

018.

8.

An

kur A

Pat

el, “

Han

ds-O

n U

nsup

ervi

sed

Lear

ning

Usi

ng P

ytho

n: H

ow to

Bui

ld A

pplie

d M

achi

ne L

earn

ing

Solu

tions

from

Unl

abel

ed D

ata”

, O'R

eilly

med

ia,2

019.

Lea

rnin

g A

sses

smen

t”

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. V

ijaya

kum

ar, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

70

Co

urs

e C

od

e 18

EC

E22

0T

Co

urs

e N

ame

Adv

ance

d M

obile

Com

mun

icat

ion

Sys

tem

s C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

ECC

301T

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Gai

n kn

owle

dge

abou

t the

late

st S

tand

ards

from

3G

to 5

G s

yste

ms.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Intro

duce

the

conc

epts

of O

FDM

sys

tem

s an

d st

anda

rds.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Stud

y th

e ba

sics

of M

IMO

sys

tem

and

the

impa

ct o

f diff

eren

t cha

nnel

mod

els

on it

.

C

LR

-4 :

U

nder

stan

d th

e te

chni

ques

of c

ogni

tive

radi

o sp

ectru

m s

ensi

ng a

nd s

harin

g

CL

R-5

:

Stud

y th

e te

chni

ques

of M

illim

eter

wav

e co

mm

unic

atio

n

CL

R-6

:

Appl

y th

e kn

owle

dge

gain

ed to

var

ious

Adv

ance

d M

obile

Com

mun

icat

ion

Syst

ems

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

App

ly th

e ar

chite

ctur

e an

d fu

nctio

nalit

ies

of 3

G a

nd 4

G s

yste

ms

2,3

85

80

H

-

M

M

- -

- -

- -

- -

H

- M

C

LO

-2 :

U

nder

stan

d th

e co

ncep

ts o

f OF

DM

and

it is

sues

2,

3 80

85

M

- H

M

-

- -

- -

- -

- M

-

H

CL

O-3

:

Und

erst

and

the

MIM

O c

omm

unic

atio

n sy

stem

s 2,

3 85

80

H

- M

H

-

- -

- -

- -

- M

-

H

CL

O-4

:

Und

erst

and

the

prin

cipl

e of

Cog

nitiv

e R

adio

Tec

hniq

ues

2,3

80

75

M

-

- M

-

- -

- -

- -

- M

-

H

CL

O-5

:

Acq

uire

the

conc

ept o

f mill

imet

er w

ave

com

mun

icat

ion

2,3

85

80

M

-

M

H

- -

- -

- -

- -

M

- H

C

LO

-6 :

A

ble

to a

naly

ze th

e A

dvan

ce M

obile

com

mun

icat

ion

syst

ems

M

H

Du

rati

on

(h

ou

r)

Ad

van

ced

cel

lula

r m

ob

ile

com

mu

nic

atio

n s

yste

ms

Mu

ltic

arri

er m

od

ula

tio

n t

ech

niq

ue-

OF

DM

M

IMO

sys

tem

s C

og

nit

ive

Sp

ectr

um

man

agem

ent

Mill

imet

er w

ave

com

mu

nic

atio

n

9 9

9 9

9

S-1

S

LO

-1

Ove

rvie

w

of

the

lega

cy

3GPP

ce

llula

r sy

stem

s

Intro

duct

ion

to O

FDM

In

trodu

ctio

n to

MIM

O

Cog

nitiv

e tra

nsce

iver

Intro

duct

ion

M

illim

eter

Wav

e C

hara

cter

istic

s

SL

O-2

O

verv

iew

of t

he le

gacy

3G

PP c

ellu

lar

syst

ems

Mul

ticar

rier M

odul

atio

n In

trodu

ctio

n In

trodu

ctio

n to

MIM

O C

hann

el C

apac

ity

Cog

nitiv

e tra

nsce

iver

arc

hite

ctur

e In

trodu

ctio

n to

Cha

nnel

Per

form

ance

at

Mm

wav

e co

mm

unic

atio

n

S-2

S

LO

-1

WiM

AX s

yste

ms:

Intro

duct

ion

Mul

ticar

rier M

odul

atio

n M

IMO

Cha

nnel

Est

imat

ion

Inte

rwea

ving

C

hann

el P

erfo

rman

ce a

t Mm

wav

e co

mm

unic

atio

n

SL

O-2

W

iMAX

sys

tem

s: A

rchi

tect

ure

Cyc

lic P

refix

M

IMO

Cha

nnel

Est

imat

ion

Prin

cipl

e of

inte

rwea

ving

M

odul

atio

n fo

r Milli

met

er W

ave

com

mun

icat

ion

S-3

S

LO

-1

WiM

AX s

yste

ms:

Arc

hite

ctur

e C

hann

el m

odel

M

IMO

Spa

tial M

ultip

lexi

ng

Prin

cipl

e of

inte

rwea

ving

M

odul

atio

n fo

r Milli

met

er W

ave

com

mun

icat

ion

SL

O-2

W

iMAX

sys

tem

s : F

ram

e st

ruct

ure

SNR

M

IMO

Spa

tial M

ultip

lexi

ng

Intro

duct

ion

to S

pect

rum

s M

illim

eter

wav

e tra

nsm

itter

S-4

S

LO

-1

WiM

AX s

yste

ms

: Fra

me

stru

ctur

e SN

R P

erfo

rman

ce

V- B

LAST

2

Type

s of

Spe

ctru

m

Milli

met

er w

ave

Rec

eive

r

SL

O-2

W

iMAX

sys

tem

s : A

pplic

atio

ns

SNR

Pro

blem

s V-

BLA

ST 2

Sp

ectru

m s

ensi

ng

Milli

met

er w

ave

Ante

nna

S

5-6

SL

O-1

LT

E sy

stem

s: In

trodu

ctio

n O

FDM

Intro

duct

ion

MIM

O D

iver

sity

Ad

vant

ages

of S

pect

rum

sen

sing

Intro

duct

ion

Mm

wav

e C

omm

unic

atio

ns

SL

O-2

S-7

S

LO

-1

LTE

syst

ems:

Arc

hite

ctur

e O

FDM

Issu

es

MIM

O D

iver

sity

D

isad

vant

ages

of S

pect

rum

sen

sing

Emer

ging

app

licat

ions

of M

m w

ave

Com

mun

icat

ions

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

71

SL

O-2

L

TE s

yste

ms:

Arc

hite

ctur

e O

FDM

Issu

es

Alam

outi

Dis

adva

ntag

es o

f Spe

ctru

m s

ensi

ng

Em

ergi

ng a

pplic

atio

ns o

f Mm

wav

e C

omm

unic

atio

ns

S-8

S

LO

-1

LTE

syst

ems:

Fra

me

stru

ctur

e PA

PR

Alam

outi

Spec

trum

Man

agem

ent

Milli

met

er W

ave

Stan

dard

s.

SL

O-2

LT

E sy

stem

s: F

ram

e st

ruct

ure

Freq

uenc

y an

d tim

ing

O

STBC

Sp

ectru

m M

anag

emen

t In

trodu

ctio

n to

Milli

met

er W

ave

Stan

dard

s.

S-9

S

LO-1

LT

E sy

stem

s: a

pplic

atio

ns

Freq

uenc

y of

fset

issu

es.

MIM

O :O

FDM

sys

tem

Intro

duct

ion

Spec

trum

Man

agem

ent

Dev

elop

men

t of

M

illim

eter

W

ave

Stan

dard

s.

SLO

-2

LTE

syst

ems:

app

licat

ions

Ti

min

g of

fset

issu

es.

MIM

O :O

FDM

sys

tem

Sp

ectru

m M

anag

emen

t D

evel

opm

ent

of

Milli

met

er

Wav

e St

anda

rds.

L

earn

ing

R

eso

urc

es

1.

And

rea

Mol

isch

, “W

irele

ss C

omm

unic

atio

n”, C

ambr

idge

Uni

vers

ity P

ress

, 2nd

edi

tion,

201

3.

2.

The

odre

Rap

papo

rt, “

Wire

less

Com

mun

icat

ion:

Prin

cipl

e an

d P

ract

ice”

, Pre

ntic

e H

all,

2nd

editi

on, 2

014.

3.

K

ao-C

heng

Hua

ng, Z

haoc

heng

Wan

g, “

Mill

imet

er W

ave

Com

mun

icat

ion

Sys

tem

”, W

iley-

IE

EE

Pre

ss, 2

nd e

ditio

n, 2

011.

4.

E

zioB

igle

ri, “

MIM

O W

irele

ss C

omm

unic

atio

ns”,

Cam

brid

ge U

nive

rsity

Pre

ss, 1

st e

ditio

n, 2

007.

5.

Ars

lan,

Hüs

eyin

, ed

. Cog

nitiv

e ra

dio,

sof

twar

e de

fined

rad

io,

and

adap

tive

wire

less

sys

tem

s. S

prin

ger

Sci

ence

& B

usin

ess

Med

ia, 2

007.

(263

-284

) 6.

T

hom

as W

.Ron

deau

, C

harle

s W

. B

osta

in,

“Art

ifici

al I

ntel

ligen

ce i

n W

irele

ss c

omm

unic

atio

n”,

AR

TE

CH

H

OU

SE

.200

9 {

pp1-

51]

7.

And

rew

Gol

dsm

ith, W

irele

ss C

omm

unic

atio

ns, C

ambr

idge

Uni

vers

ity P

ress

, 200

5.

8.

Mis

cha

Doh

ler,

Jos

e F

. M

onse

rrat

Afif

Oss

eira

n "

5G M

obile

and

Wire

less

Com

mun

icat

ion

Tec

hnol

ogy"

, C

ambr

idge

Uni

vers

ity P

ress

201

6.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. Sa

bith

a G

auni

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

72

Co

urs

e C

od

e 18

EC

E22

1T

Co

urs

e N

ame

RA

DA

R A

ND

NA

VIG

AT

ION

AL

AID

S

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18E

CC

205J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Get

intro

duce

d to

bas

ics

of R

adar

Sys

tem

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Impa

rt th

e kn

owle

dge

of d

iffer

ent t

ypes

of R

adar





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Anal

yze

the

vario

us d

etec

tion

sche

mes

CL

R-4

:

Und

erst

and

the

Rad

ar tr

ansm

itter

s an

d R

ecei

vers

CL

R-5

:

Und

erst

and

the

fund

amen

tals

of n

avig

atio

n sy

stem

CL

R-6

:

Acqu

ire k

now

ledg

e on

theo

retic

al c

once

pts

and

anal

ysis

tech

niqu

es re

late

d to

diff

eren

t typ

es o

f Rad

ar a

nd v

ario

us

navi

gatio

nal a

ids

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Gai

n kn

owle

dge

abou

t Rad

ar th

eory

and

Ran

ge e

quat

ion

2 80

70

H

M

- -

- -

- -

- -

- -

- -

- C

LO

-2 :

A

pply

Dop

pler

prin

cipl

e to

Rad

ars

and

henc

e un

ders

tand

the

wor

king

prin

cipl

e of

diff

eren

t typ

es o

f Rad

ar

2 85

75

- -

- -

- -

- -

- H

-

- M

-

- C

LO

-3 :

G

ain

know

ledg

e on

Rad

ar s

igna

l det

ectio

n m

etho

ds a

nd

pro

paga

tion

as re

late

d to

Rad

ars

2 75

70

- H

-

- -

- -

- -

- -

- M

-

- C

LO

-4 :

A

cqui

re in

form

atio

n ab

out R

adar

tran

smitt

ers

and

Rad

ars

2 85

80

H

H

- -

- -

- -

- -

- -

- -

H

CL

O-5

:

Und

erst

and

prin

cipl

es o

f nav

igat

ion

, in

addi

tion

to a

ppro

ach

and

land

ing

aids

as

rela

ted

to n

avig

atio

n 2

85

75

H

M

-

- -

- -

- -

M

- -

M

- -

CL

O-6

:

Und

erst

and

the

prin

cipl

e of

ope

ratio

n of

Rad

ar in

the

dete

ctio

n of

diff

eren

t typ

es o

f tar

gets

and

var

ious

nav

igat

iona

l aid

s 2

85

75

H

H

-

- -

- -

- -

H

- -

- -

H

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

To

Rad

ar E

qu

atio

n

MT

I An

d P

uls

e D

op

ple

r R

adar

D

etec

tio

n O

f S

ign

als

In N

ois

e R

adar

Tra

nsm

itte

r A

nd

Rec

eive

r R

adio

Nav

igat

ion

9 9

9 9

9

S-1

S

LO

-1

Intro

duct

ion-

Basi

c R

adar

In

trodu

ctio

n to

Dop

pler

Rad

ar

Det

ectio

n of

Sig

nals

in N

oise

-D

etec

tion

Crit

eria

R

adar

Tra

nsm

itter

s an

d R

ecei

vers

. In

trod

uctio

n -

Fou

r m

etho

ds o

f N

avig

atio

n .-

Pos

ition

ing-

Err

ors

in D

irect

ion

Fin

ding

SL

O-2

R

adar

Fre

quen

cies

-App

licat

ions

of R

adar

In

trodu

ctio

n to

MTI

Rad

ar

Pro

babi

litie

s of

Det

ectio

n an

d F

alse

Ala

rm

Line

ar B

eam

Pow

er T

ubes

-Ref

lex

Kly

stro

n Li

ne o

f sig

ht D

ista

nce

mea

sure

men

t

S-2

S

LO

-1

The

Sim

ple

form

of R

adar

Equ

atio

n D

elay

–Li

ne C

ance

llers

M

atch

ed F

ilter

Rec

eive

r Li

near

Bea

m P

ower

Tub

es-T

WT

T

erre

stria

l Rad

io N

avig

atio

n sy

stem

s

SL

O-2

Tu

toria

ls

Del

ay –

Line

Can

celle

rs

Der

ivat

ion

of M

atch

ed fi

lter f

requ

ency

re

spon

se

Sol

id S

tate

RF

Pow

er S

ourc

es

Rad

io tr

ansm

issi

on a

nd R

ecep

tion

S-3

S

LO

-1

Rad

ar B

lock

Dia

gram

D

oppl

er F

ilter

Ban

ks

Aut

omat

ic D

etec

tor

Mag

netr

on -

Cro

ssed

Fie

ld A

mpl

ifier

s S

yste

m d

esig

n co

nsid

erat

ions

-Sys

tem

P

erfo

rman

ce P

aram

eter

s

SL

O-2

R

ecei

ver N

oise

D

igita

l MTI

Pro

cess

ing

Con

stan

t-F

alse

-Ala

rm R

ate

Rec

eive

rs

Mag

netr

on -

Cro

ssed

Fie

ld A

mpl

ifier

s T

he L

oop

Ant

enna

- A

dcoc

k D

irect

ion

Fin

ders

S-4

SL

O-1

S

igna

l-to-

Noi

se R

atio

Bl

ock

Dia

gram

of D

igita

l MTI

Dop

pler

Si

gnal

Pro

cess

or

Sig

nal M

anag

emen

t O

ther

RF

Pow

er S

ourc

es

Dire

ctio

n F

indi

ng a

t Ver

y H

igh

Fre

quen

cies

-

Aut

omat

ic D

irect

ion

Fin

ders

SL

O-2

In

tegr

atio

n of

Rad

ar P

ulse

s

Mov

ing

Targ

et D

etec

tor -

Lim

itatio

ns to

M

TI P

erfo

rman

ce

Pro

paga

tion

Rad

ar W

aves

- A

tmos

pher

ic

Ref

ract

ion

Oth

er a

spec

ts o

f Rad

ar T

rans

mitt

er

VH

F O

mni

Dire

ctio

nal R

ange

(VO

R)

- V

OR

R

ecei

ving

Equ

ipm

ent -

Ran

ge a

nd

Acc

urac

y of

VO

R

S-5

S

LO

-1

Rad

ar C

ross

Sec

tion

of T

arge

ts-S

impl

e Ta

rget

s Pu

lse

Dop

pler

Rad

ar

Sta

ndar

d pr

opag

atio

n

The

Rad

ar R

ecei

ver

Hyp

erbo

lic S

yste

ms

of N

avig

atio

n-Lo

ran

SL

O-2

R

adar

Cro

ss S

ectio

n of

Tar

gets

-Com

plex

Ta

rget

s Tr

ansm

itter

Pow

er

Hig

h, M

ediu

m a

nd L

ow p

rf D

oppl

er

Non

stan

dard

Pro

paga

tion

Rec

eive

r no

ise

Fig

ure

Lo

ran-

C

S-6

S

LO

-1

Rad

ar c

ross

Sec

tion

Flu

ctua

tions

O

ther

Dop

pler

Rad

ar T

opic

s A

mbi

guity

Dia

gram

R

ecei

ver

nois

e F

igur

e T

he D

ecca

Nav

igat

ion

Sys

tem

-D

ecca

R

ecei

vers

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

73

SL

O-2

Sw

erlin

g Ta

rget

Mod

el

Trac

king

with

Rad

ar

Am

bigu

ity D

iagr

am

Sup

er h

eter

odyn

e R

ecei

ver

Ran

ge a

nd A

ccur

acy

of D

ecca

S-7

S

LO-1

Tr

ansm

itter

Pow

er

Mon

o pu

lse

Trac

king

P

ulse

com

pres

sion

LN

A a

nd M

ixer

s T

AC

AN

SLO

-2

Puls

e R

epet

ition

Fre

quen

cy

Two

Coo

rdin

ate

ampl

itude

com

paris

on

mon

opul

se tr

acki

ng

Line

ar F

M p

ulse

com

pres

sion

D

uple

xers

T

AC

AN

Equ

ipm

ent

S-8

S

LO-1

An

tenn

a Pa

ram

eter

s C

onic

al S

can

and

Sequ

entia

l Lob

ing

B

inar

y P

hase

Cod

ed p

ulse

com

pres

sion

R

ecei

ver

Pro

tect

ors

Cas

e st

udy

on A

irbor

ne T

actia

l net

wor

ks-

Inst

rum

ent L

andi

ng S

yste

m

SLO

-2

Syst

em lo

sses

-Mic

row

ave

plum

bing

loss

, An

tenn

a lo

ss, S

igna

l Pro

cess

ing

loss

Li

mita

tions

to T

rack

ing

Accu

racy

Q

ues

tio

nn

aire

R

ecei

ver

Pro

tect

ors

Cas

e st

udy

on A

irbor

ne T

actia

l net

wor

ks-

Inst

rum

ent L

andi

ng S

yste

m

S-9

S

LO-1

Sy

stem

loss

es-D

oppl

er p

roce

ssin

g,

Col

laps

ing,

Ope

rato

r los

s, p

ropa

gatio

n Ef

fect

s C

ase

stud

y on

wea

ther

rad

ars

Intr

oduc

tion

to c

lutte

r R

adar

Dis

play

s In

trod

uctio

n to

sat

ellit

e R

adio

Nav

igat

ion-

SLO

-2

Oth

er R

adar

Equ

atio

n C

onsi

dera

tions

C

ase

stud

y on

wea

ther

rad

ars

Sur

face

Clu

tter

Rad

ar e

quat

ion

Surp

rise

Test

N

avst

ar G

loba

l Pos

ition

ing

Sys

tem

(G

PS

)

L

earn

ing

R

eso

urc

es

1.

Mer

rill I

. Sko

lnik

," In

trodu

ctio

n to

Rad

ar S

yste

ms"

, 3rd

Edi

tion

Tata

Mc

Gra

w-H

ill 20

08

2.

R.B

. Und

erdo

wn

and

Dav

id C

ockb

urn,

"Gro

und

Stud

ies

for P

ilots

: Rad

io A

ids”

, six

th E

ditio

n,

Blac

kwel

l Pub

lishi

ng, 2

011.

3.

M

yron

Kay

ton,

Wal

ter R

.Frie

d, "A

vion

ics

Nav

igat

ion

Syst

ems”

, sec

ond

Editi

on, W

iley-

Indi

a Ed

ition

, 201

0.

4.

N.S

.Nag

araj

a, “

Ele

men

ts o

f Ele

ctro

nic

Nav

igat

ion

Sys

tem

s”, 2

nd E

ditio

n, T

MH

, 200

0.

5.

Mar

k, R

icha

rds.

A,

“Fun

dam

enta

ls o

f ra

dar

sign

al p

roce

ssin

g”,

Mc-

Gra

w H

ill,

Ele

ctro

nic

Eng

inee

ring,

1st

E

ditio

n, 2

005.

6.

Je

nny

L.

Ree

d,

Aar

on

D.

Lant

erm

an,

John

M

. T

rost

el,”

T

utor

ial:

Wea

ther

R

adar

: O

pera

tion

and

Phe

nom

enol

ogy”

, IE

EE

Aer

ospa

ce a

nd E

lect

roni

c S

yste

ms

Mag

azin

e, V

ol: 3

2, 7

, 201

7.

7.

Bow

-Nan

Che

ng,

Fre

deric

k J.

Blo

ck,

B.

Rus

s H

amilt

on,

Dav

id R

ippl

inge

r, C

hayi

l T

imm

erm

an,

Leon

id

Vey

tser

, an

d A

radh

ana

Nar

ula-

Tam

,”

Des

ign

Con

side

ratio

ns

for

Nex

t-G

ener

atio

n A

irbor

ne

Tac

tical

N

etw

orks

, IE

EE

Com

mun

icat

ions

Mag

azin

e , M

ay 2

014.

L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Mrs

. S. V

asan

thad

ev S

urya

kala

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

74

Co

urs

e C

od

e 18

EC

E22

2T

Co

urs

e N

ame

AD

HO

C A

ND

SE

NS

OR

NE

TW

OR

KS

C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Util

ize

the

Ad h

oc N

etw

orks

and

its

vario

us ro

utin

g pr

otoc

ols

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Lear

n th

e M

AC L

ayer

and

the

conc

ept o

f Qua

lity

of S

ervi

ce





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Anal

yze

ener

gy m

anag

emen

t in

Ad h

oc N

etw

orks

CL

R-4

:

Iden

tify

insi

ghts

of S

enso

r net

wor

k

CL

R-5

:

Anal

yze

vario

us a

spec

ts H

ybrid

net

wor

ks a

nd ro

utin

g co

nfig

urat

ion

CL

R-6

:

Expo

se to

the

diff

eren

t typ

es o

f adh

oc n

etw

ork

rout

ing

prot

ocol

s an

d se

nsor

net

wor

ks

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expr

ess

abou

t Ad

hoc

Net

wor

ks a

nd v

ario

us ro

utin

g pr

otoc

ols

used

in A

d ho

c ne

twor

ks

1 60

70

- -

- -

- -

H

- -

- -

M

- -

- C

LO

-2 :

D

iscu

ss th

e va

rious

func

tiona

l are

as s

uch

as M

AC L

ayer

and

QO

S 1

60

65

-

- -

- -

- -

H

- -

- -

- -

M

CL

O-3

:

Inte

rpre

t the

ene

rgy

man

agem

ent p

roto

cols

in A

d ho

c N

etw

orks

1

60

65

-

- -

H

- -

- -

- -

- -

- -

M

CL

O-4

:

Expl

ain

abou

t the

Sen

sor n

etw

ork

and

its a

ssoc

iate

d pr

otoc

ols.

1

60

65

-

- -

H

- -

- -

- -

- -

- -

M

CL

O-5

:

Des

crib

e ab

out t

he h

ybrid

net

wor

ks a

nd it

s ro

utin

g pr

otoc

ols.

1

60

65

-

- -

H

- -

- -

- -

- -

- -

M

CL

O-6

:

Para

phra

se th

e va

rious

type

s of

adh

oc n

etw

orks

and

sen

sor n

etw

orks

1

60

65

-

- -

- -

- -

- -

- -

H

- -

M

Dur

atio

n (h

our)

9

9 9

9 9

S-1

S

LO-1

C

ellu

lar a

nd A

d ho

c W

irele

ss N

etw

orks

Q

ualit

y of

ser

vice

in A

d ho

c w

irele

ss

netw

orks

, Rea

l-Tim

e Tr

affic

sup

port

Ener

gy M

anag

emen

t-Nee

ds

Sens

or N

etw

orks

, App

licat

ions

. C

ompa

rison

with

Ad

hoc

netw

ork,

H

ybrid

wire

less

net

wor

k, In

trodu

ctio

n,

clas

sific

atio

n

SLO

-2

Appl

icat

ions

of A

d ho

c W

irele

ss N

etw

orks

Is

sues

and

cha

lleng

es in

pro

vidi

ng Q

oS

Cla

ssifi

catio

ns o

f Ene

rgy

Man

agem

ent

Sche

mes

Is

sues

, cha

lleng

es in

des

igni

ng s

enso

r ne

twor

k Se

nsor

Net

wor

k Ar

chite

ctur

e M

ulti-

hop

cellu

lar n

etw

ork

(MC

N)

Arch

itect

ure

S-2

SLO

-1

Issu

es in

Ad

hoc

Wire

less

Net

wor

ks

Cla

ssifi

catio

ns o

f QoS

sol

utio

ns

Batte

ry M

anag

emen

t Sch

eme-

Ove

rvie

w,

Laye

red

Arch

itect

ure,

Clu

ster

ed

Arch

itect

ure

Mob

ile a

ssis

ted

data

forw

ardi

ng (M

ADF)

Ar

chite

ctur

e

SLO

-2

MAC

Pro

toco

l for

Ad

hoc

Net

wor

ks

Issu

es in

Des

igni

ng a

nd D

esig

n G

oals

M

AC L

ayer

sol

utio

n-cl

uste

r TD

MA,

IEEE

80

2.11

e, D

BASE

D

ata

link

laye

r sol

utio

n-La

zy p

acke

t sc

hedu

ling

sche

me,

Dat

a D

isse

min

atio

n, F

lood

ing,

Gos

sipi

ng,

Rum

or R

outin

g, S

eque

ntia

l Ass

ignm

ent

Rou

ting

Hyb

rid w

irele

ss N

etw

ork

(HW

N)

Arch

itect

ure

S-3

S

LO-1

C

lass

ifica

tions

of M

AC p

roto

cols

-Flo

or

Acqu

ition

Mul

tiple

Acc

ess

prot

ocol

s N

etw

ork

Laye

r sol

utio

n-Q

OS

rout

ing

prot

ocol

s,

Batte

ry A

war

e M

AC p

roto

col

Cos

t fie

ld a

ppro

ach

Rou

ting

in H

ybrid

wire

less

net

wor

k Ba

se a

ssis

ted

ad h

oc ro

utin

g (B

AAR

)

SLO

-2

Col

lisio

n Av

oida

nce

Tim

e Al

loca

ted

Prot

ocol

Ti

cket

Bas

ed Q

OS

Rou

ting

prot

ocol

s,

Net

wor

k La

yer s

olut

ion

Dat

a G

athe

ring,

Dire

ct T

rans

mis

sion

, Bi

nary

sch

eme

Ope

ratio

n of

BAA

R p

roto

col

S-4

S

LO-1

R

outin

g Pr

otoc

ol fo

r Ad

hoc

wire

less

ne

twor

k-C

lass

ifica

tion

Pred

ictiv

e lo

catio

n ba

sed

QO

S ro

utin

g Tr

ansm

issi

on P

ower

Man

agem

ent

Sche

mes

-Dat

a lin

k la

yer s

olut

ion

Cha

in B

ased

Thr

ee le

vel s

chem

e Ba

se d

riven

mul

ti-ho

p br

idgi

ng

prot

ocol

(BM

BP)-M

essa

ge u

sed

SLO

-2

Tabl

e dr

iven

Rou

ting

Prot

ocol

s-W

irele

ss

Rou

ting

Prot

ocol

Q

OS

fram

e w

ork

Dyn

amic

pow

er a

djus

tmen

ts p

olic

ies,

D

istri

bute

topo

logy

con

trol A

lgor

ithm

M

AC p

roto

cols

for s

enso

r Net

wor

ks-S

elf

orga

nizi

ng M

AC, C

SMA

Base

d M

AC

BMBP

pro

cedu

re

S-5

S

LO-1

O

n de

man

d ro

utin

g pr

otoc

ols-

Dyn

amic

So

urce

Rou

ting

prot

ocol

Q

OS

mod

els

Con

stru

ct d

istri

bute

d po

wer

con

trol l

oop,

C

entra

lized

Top

olog

y co

ntro

l Alg

orith

m

Loca

tion

disc

over

y-In

door

and

sen

sor

netw

ork

loca

lizat

ion

Issu

es in

pric

ing

Mul

ti-H

op w

irele

ss

netw

orks

SLO

-2

Mul

ticas

t Rou

ting

Arch

itect

ure

Ref

eren

ce

mod

el

QO

S R

esou

rce

Res

erva

tion

Sign

alin

g N

etw

ork

laye

r sol

utio

n-co

mm

on p

ower

pr

otoc

ol

Qua

lity

of S

enso

r Net

wor

ks-c

over

age,

Pr

icin

g in

Mul

ti-H

op w

irele

ss W

ANs

S-6

S

LO-1

Tr

ee B

ased

Rou

ting

INSI

GN

IA-Q

OS

fram

ewor

k M

inim

um p

ower

con

sum

ptio

n Te

chni

que

Expo

sure

Pr

icin

g in

Ad

hoc

Wire

less

Net

wor

ks

SLO

-2

Mes

h Ba

sed

Rou

ting

Ope

ratio

n of

INSI

GN

IA fr

amew

ork,

Ad

vant

ages

and

dis

adva

ntag

es

Min

imum

bat

tery

cos

t Rou

ting

Rec

ent T

rend

s in

Sen

sor N

etw

orks

-Ene

rgy

Effic

ient

Des

ign,

syn

chro

niza

tion

Pow

er c

ontro

l sch

eme

in H

ybrid

Wire

less

N

etw

orks

, Iss

ues

in u

sing

var

iabl

e po

wer

in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

75

IEEE

802

.11

S-7

S

LO-1

En

ergy

Effi

cien

t Mul

ticas

ting-

Rou

ting

prot

ocol

s IN

OR

A-C

oars

e fe

edba

ck s

chem

e,

Hig

her L

ayer

sol

utio

n Tr

ansp

ort L

ayer

Issu

e Po

wer

opt

imiz

atio

n sc

hem

e

SLO

-2

Clu

ster

Ada

ptat

ion

of M

ultic

ast p

roto

cols

C

lass

bas

ed fi

ne fe

edba

ck s

chem

e Sy

stem

pow

er m

anag

emen

t sch

eme,

Pr

oces

sor p

ower

man

agem

ent

Secu

rity-

Loca

lized

Enc

rypt

ion

and

Auth

entic

atio

n pr

otoc

ols

(LEA

P)

Load

Bal

anci

ng in

Hyb

rid W

irele

ss

Net

wor

ks

S-8

S

LO-1

M

ultic

ast w

ith Q

OS

Gua

rant

ees-

Rea

l Tim

e M

ultic

astin

g Pr

otoc

ols

SWAN

-Mod

el

Pow

er s

avin

g M

ode

Po

wer

Aw

are

Mul

ti-Ac

cess

Sig

nalin

g In

trusi

on T

oler

ant R

outin

g in

Wire

less

Se

nsor

Net

wor

k (IN

SEN

S)

Pref

erre

d R

ing

Base

d R

outin

g Sc

hem

e

SLO

-2

Prio

rity

Sche

dulin

g Pr

otoc

ols

Adva

ntag

es a

nd D

isad

vant

ages

Ad

ditio

n of

sep

arat

e si

gnal

ing

sche

me

Rea

l –Ti

me

com

mun

icat

ion

Pref

erre

d in

ner R

outin

g Sc

hem

e(PI

RS)

S-9

S

LO-1

Ap

plic

atio

n D

epen

dent

Mul

ti C

ast R

outin

g-R

ole

Base

d,

Proa

ctiv

e R

TMAC

fram

ewor

k D

evic

e po

wer

Man

agem

ent S

chem

e-Lo

w

Pow

er D

esig

n of

Har

dwar

e SP

EED

Pro

toco

l Pr

efer

red

oute

r Rin

g R

outin

g Sc

hem

e (P

OR

S)

SLO

-2

Con

tent

Bas

ed, L

ocat

ion

Base

d Ad

vant

ages

and

Dis

adva

ntag

es

Har

d D

isk

Driv

e (H

DD

) pow

er c

onsu

mpt

ion

RAP

pro

toco

ls

Pref

erre

d D

estin

atio

n/So

urce

Rin

g Ba

sed

Rou

ting

Sche

me

Lea

rnin

g

Res

ou

rces

1.

Siva

Ram

Mur

thy

C.,

Man

oj B

.S, A

d ho

c W

irele

ss N

etw

orks

– A

rchi

tect

ures

and

Pro

toco

ls, 2

nd e

d., P

ears

on,

2004

2.

Fe

ng Z

hao,

Leo

nida

sGui

bas,

Wire

less

Sen

sor N

etw

orks

, 1st e

d., M

orga

n Ka

ufm

an P

ublis

hers

, 200

4

3.

C.K

.Toh

, Ad

hoc

Mob

ile W

irele

ss N

etw

orks

, 7th

ed.

, Pea

rson

, 200

2 4.

Th

omas

Bra

g, S

ebas

tin B

uettr

ich,

Wire

less

Mes

h N

etw

orki

ng, 3

rd e

d., O

’Rei

lly P

ublis

hers

, 200

7

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. M

rs. S

. T. A

arth

y, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

76

Co

urs

e C

od

e 18

EC

E22

3T

Co

urs

e N

ame

Sat

ellit

e C

omm

unic

atio

n an

d B

road

cast

ing

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18EC

C20

5J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Und

erst

and

the

orbi

tal a

nd fu

nctio

nal p

rinci

ples

of s

atel

lite

com

mun

icat

ion

syst

ems

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Arch

itect

, int

erpr

et, a

nd s

elec

t app

ropr

iate

tech

nolo

gies

for i

mpl

emen

tatio

n of

spe

cifie

d sa

tellit

e co

mm

unic

atio

n sy

stem

s





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Anal

yze

and

eval

uate

a s

atel

lite

link

and

sugg

est e

nhan

cem

ents

to im

prov

e th

e lin

k pe

rform

ance

CL

R-4

:

Sele

ct a

n ap

prop

riate

mod

ulat

ion,

mul

tiple

xing

, cod

ing

and

mul

tiple

acc

ess

sche

mes

for a

giv

en s

atel

lite

com

mun

icat

ion

link

CL

R-5

:

Spec

ify, d

esig

n, p

roto

type

and

test

ana

log

and

digi

tal s

atel

lite

com

mun

icat

ion

syst

ems

as p

er g

iven

spe

cific

atio

ns

CL

R-6

:

Util

ize

the

conc

epts

in o

ptic

al c

omm

unic

atio

n fo

r the

und

erst

andi

ng o

f eng

inee

ring

and

tech

nolo

gy

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Dem

onst

rate

the

prin

cipl

es, c

once

pts

and

oper

atio

n of

sat

ellit

e co

mm

unic

atio

n sy

stem

s 2

60

65

M

-

- -

- -

H

- -

- -

- -

- -

CL

O-2

:

Dis

cuss

abo

ut th

e sa

tellit

e or

bits

, lin

k de

sign

, lin

k av

aila

bilit

y an

d in

terfe

renc

e 2

60

65

-

- M

-

- -

H

- -

- -

- -

- -

CL

O-3

:

Anal

yze

the

conc

epts

of S

atel

lite

syst

ems

in re

latio

n to

oth

er te

rrest

rial s

yste

ms

2 65

65

- -

M

- -

- H

-

- -

- -

- -

-

CL

O-4

:

Illus

trate

the

perfo

rman

ce o

f var

ious

cha

nnel

acc

ess

sche

mes

for s

atel

lite

com

mun

icat

ion

2 60

65

- -

M

- -

- H

-

- -

- -

- -

-

CL

O-5

:

Expl

ain

the

appl

icat

ions

of s

atel

lites

and

com

pres

sion

sta

ndar

ds a

dopt

ed in

sat

ellit

e co

mm

unic

atio

n 2

60

65

-

- M

-

- -

H

- -

- -

- -

- -

CL

O-6

:

Anal

yze

the

Sate

llite

com

mun

icat

ion

and

Broa

dcas

ting

syst

ems.

2

60

65

-

- M

-

- -

H

- -

- -

- -

- -

Du

rati

on

(h

ou

r)

Sat

ellit

e O

rbit

Link

Des

ign

Spa

ce a

nd E

arth

Seg

men

t M

ultip

le A

cces

s T

echn

ique

s fo

r S

atel

lite

Com

mun

icat

ion

Bro

adca

st a

nd S

ervi

ces

9 9

9 9

9

S-1

S

LO

-1

Sate

llite

Orb

it L

ink

Des

ign

Spac

e Se

gmen

t

Con

cept

s of

Mul

tiple

Acc

ess

tech

niqu

es,

type

s C

once

pt o

f Bro

adca

stin

g sa

tellit

es

SL

O-2

Ke

pler

’s la

w

EIR

P

Basi

c co

ncep

t of s

pace

seg

men

Si

ngle

Acc

ess

Dire

ct B

road

cast

ing

Sate

llite

S-2

S

LO

-1

Earth

- O

rbiti

ng s

atel

lites

term

s Tr

ansm

issi

on L

osse

s Po

wer

Sup

ply

Pre

assi

gned

FD

MA

Orb

ital S

paci

ng

SL

O-2

Ty

pes

of s

atel

lites

Li

nk P

ower

Bud

get e

quat

ion

Altit

ude

cont

rol

Dem

and

Assi

gned

FD

MA

Pow

er ra

tings

S-3

S

LO

-1

Orb

ital e

lem

ents

Sy

stem

Noi

se

Stat

ion

keep

ing

SPAD

E sy

stem

Fr

eque

ncy

and

pola

rizat

ion

SL

O-2

O

rbit

Pertu

rbat

ions

C

arrie

r to

nois

e ra

tio

Ther

mal

Con

trol

TWT

ampl

ifier

ope

ratio

n Tr

ansp

onde

r Cap

acity

S-4

S

LO

-1

Incl

ined

Orb

its

Ty

pes

of F

EC

TT&C

Sub

syst

ems

Dow

nlin

k an

alys

is

Bit r

ate

SL

O-2

Su

n sy

nchr

onou

s or

bits

C

ompu

ter-A

ided

Des

ign

Ante

nna

subs

yste

m

TDM

A M

PEG

S-5

S

LO

-1

Con

stel

latio

n:G

eo s

tatio

nary

sat

ellit

es

Upl

ink

Tran

spon

ders

R

efer

ence

bur

sts

Forw

ard

Erro

r Cor

rect

ion

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

77

Lea

rnin

g

Res

ou

rces

6.

Den

nis

Rod

dy, “

Sate

llite

Com

mun

icat

ions

”, Ta

ta M

c-G

raw

Hill

Publ

icat

ions

, 4th

Edi

tion,

13t

h R

eprin

t, 20

14

7.

TIM

OTH

Y PR

ATT,

CH

ARLE

S BO

STIA

N J

ERM

EY A

LLN

UTT

, Sat

ellit

e C

omm

unic

atio

ns, J

ohn

Wile

y,

Sing

apor

e, 2

nd E

ditio

n, re

prin

t 201

3.

8.

Mad

have

ndra

Ric

hhar

ia, L

eslie

Dav

id, “

Sate

llite

Syst

ems

for P

erso

nal A

pplic

atio

ns C

once

pts

and

Tech

nolo

gy”,

Wile

y-Bl

ackw

ell,

1st E

ditio

n, 2

010.

9.

Lo

uis

J. Ip

polit

oJr,

“Sat

ellit

e C

omm

unic

atio

ns S

yste

ms

Engi

neer

ing”

, Joh

n W

iley

and

Sons

, Lt

d,

Publ

icat

ion,

1st

Edi

tion,

200

8 L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

K. K

alim

uth

u, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

SL

O-2

N

on g

eost

atio

nary

con

stel

latio

n sa

tura

tion

flux

dens

ity, i

nput

bac

koff

Wid

eban

d R

ecei

ver

Prea

mbl

e, P

osta

mbl

e O

utdo

or U

nit

S-6

S

LO

-1

Laun

chin

g of

Geo

stat

iona

ry s

atel

lites

D

own

Link

Ea

rth S

egm

ent

Car

rier r

ecov

ery

Indo

or U

nit

SL

O-2

La

unch

veh

icle

Typ

es

outp

ut b

acko

ff, T

WTA

out

put

Basi

c co

ncep

t of

Earth

seg

men

t N

etw

ork

sync

hron

izat

ion

Dow

nlin

k An

alys

is

S-7

S

LO

-1

Ante

nna

Look

ang

les

Effe

cts

of ra

in

Rec

eive

onl

y ho

me

TV s

yste

m

Pre

assi

gned

TD

MA

U

plin

k An

alys

is

SL

O-2

Su

n tra

nsit

outa

ge

Inte

r mod

ulat

ion

Noi

se

Com

mun

ity a

nten

na T

V sy

stem

D

eman

d as

sign

ed T

DM

A Sa

tellit

e M

obile

ser

vice

s

S-8

S

LO-1

So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

CD

MA

V

SAT

SLO

-2

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s D

irect

Seq

uenc

e Sp

read

Spe

ctru

m ,

CD

MA

thro

ughp

ut

GPS

S-9

S

LO-1

So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

SLO

-2

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

78

Co

urs

e C

od

e 18

EC

E22

4T

Co

urs

e N

ame

CR

YP

TO

GR

AP

HY

AN

D N

ET

WO

RK

SE

CU

RIT

Y

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Util

ize

clas

sica

l and

mod

ern

encr

yptio

n m

etho

ds

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Util

ize

the

diffe

rent

key

gen

erat

ion

stan

dard

s





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Util

ize

the

vario

us te

chni

ques

in a

uthe

ntic

atio

n of

info

rmat

ion

CL

R-4

:

Anal

yze

the

aspe

cts

in n

etw

ork

secu

rity

CL

R-5

:

Iden

tify

the

effe

ct o

f var

ious

mal

war

es a

nd c

ount

er m

easu

res

CL

R-6

:

Und

erst

and

vario

us c

onve

ntio

nal a

nd m

oder

n cr

ypto

grap

hy te

chni

ques

with

its

adde

d se

curit

y fe

atur

es

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expl

ain

the

met

hods

of c

lass

ical

and

mod

ern

Encr

yptio

n 2

60

65

M

-

- -

- -

H

- -

- -

- -

- -

CL

O-2

:

Appl

y th

e co

ncep

ts o

f Num

ber t

heor

y in

key

gen

erat

ion

and

dist

ribut

ion

stan

dard

s

2 60

65

M

- -

- -

- H

-

- -

- -

- -

-

CL

O-3

:

Dis

cuss

abo

ut th

e m

essa

ge a

uthe

ntic

atio

n an

d di

gita

l sig

natu

re a

lgor

ithm

. 1

60

70

-

- M

-

- -

H

- -

- -

- -

- -

CL

O-4

:

Des

crib

e ab

out t

he v

ario

us fo

rms

of n

etw

ork

secu

rity

1 60

70

- -

M

- -

- H

-

- -

- -

- -

-

CL

O-5

:

Anal

yze

the

effe

cts

of in

trusi

on, v

iruse

s, fi

rew

alls

and

var

ious

leve

ls o

f sys

tem

sec

urity

2

60

70

-

-

M

- -

- H

-

- -

- -

- -

-

CL

O-6

:

Para

phra

se a

bout

var

ious

enc

rypt

ion

tech

niqu

es, s

tand

ards

and

sec

urity

asp

ects

2

60

65

-

- M

-

- -

H

- -

- -

- -

- -

Dur

atio

n (h

our)

9

9 9

9 9

S-1

S

LO-1

Se

curit

y Se

rvic

es M

echa

nism

s N

umbe

r The

ory

Basi

cs o

f Mes

sage

aut

hent

icat

ion

code

s IP

Sec

urity

In

trude

rs

SLO

-2

Atta

cks

Basi

cs o

f Mod

ulo

oper

atio

ns, a

dditi

ve a

nd

mul

tiplic

ativ

e in

vers

e Ba

sics

of M

essa

ge a

uthe

ntic

atio

n co

des

Ove

rvie

w o

f tec

hniq

ues

Intru

sion

S-2

S

LO-1

N

etw

ork

Secu

rity

Mod

el

Eucl

idea

n al

gorit

hm

Req

uire

men

ts o

f MAC

Ar

chite

ctur

e In

trusi

on D

etec

tion

SLO

-2

Bloc

k ci

pher

, stre

am c

iphe

r, sy

mm

etric

and

As

sym

etric

Ex

tend

ed E

uclid

ean

algo

rithm

M

AC lo

gic

Auth

entic

atio

n H

eade

r Te

chni

ques

S-3

S

LO-1

C

onve

ntio

nal E

ncry

ptio

n te

chni

ques

Fe

rmet

’s th

eore

m

MD

5 Lo

gic,

MD

5 C

ompr

essi

on

Func

tion,

Au

then

ticat

ion

Prot

ocol

s Pa

ssw

ord

Man

agem

ent

SLO

-2

Subs

titut

ion

and

trans

posi

tion

tech

niqu

es

Eule

r’s th

eore

m

MD

4, S

treng

th o

f MD

5 M

utut

al a

uthe

ntic

atio

n, o

ne w

ay

auth

entic

atio

n Te

chni

ques

S-4

S

LO-1

St

egan

ogra

phy

Key

cryp

togr

aphy

R

equi

rem

ents

for a

Has

h Fu

nctio

n,

sim

ple

Has

h Fu

nctio

n,

Enca

psul

atin

g Se

curit

y Pa

yloa

d Vi

ruse

s

SLO

-2

Basi

cs o

f LSB

, His

togr

am,D

E te

chni

ques

Ke

y cr

ypto

grap

hy

Birth

day

Atta

cks,

Blo

ck C

hain

ing

Tech

niqu

es

Enca

psul

atin

g Se

curit

y Pa

yloa

d W

orm

s

S-5

S

LO-1

D

ES

RSA

Se

curit

ies

Secu

rity

Asso

ciat

ions

Ad

vanc

ed S

ecur

ity

SLO

-2

Algo

rithm

and

exa

mpl

es

Algo

rithm

s an

d ex

ampl

es

HAS

H -

MAC

Te

chni

ques

ove

rvie

w

OS

Secu

rity

S-6

S

LO-1

SD

ES

Key

dist

ribut

ion

Birth

day

Atta

ck

Kerb

ros

V4, V

5 ce

rtific

ate

WLA

N S

ecur

ity

SLO

-2

Bloc

k ci

pher

mod

es o

pera

tion

Algo

rithm

s SH

A Au

then

ticat

ion

Proc

edur

e Ad

hoc

Net

wor

k Se

curit

y

S-7

S

LO-1

O

verv

iew

of I

DEA

Ke

y M

anag

emen

t D

igita

l Sig

natu

re s

tand

ard

PGP

GSM

Sec

urity

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

79

SLO

-2

Ove

rvie

w o

f Blo

wfis

h Al

gorit

hms

Ove

rvie

w o

f blo

cks

Emai

l Sec

urity

E-

com

mer

ce S

ecur

ity

S-8

S

LO-1

O

verv

iew

of R

C5

Diff

ie H

ellm

an k

ey e

xcha

nge

Dig

ital S

igna

ture

Alg

orith

ms

Web

sec

urity

requ

irem

ents

C

loud

Com

putin

g Se

curit

y

SLO

-2

Ove

rvie

w o

f CAS

T-12

8 D

iffie

Hel

lman

key

exc

hang

e Ex

ampl

es

SSL

-TLS

- SE

T In

trodu

ctio

n to

Fire

wal

l

S-9

S

LO-1

C

hara

cter

istic

s of

adv

ance

d sy

mm

etric

Bl

ock

ciph

ers

Ellip

tic c

urve

cry

ptog

raph

y

Basi

cs o

f pro

of

Port

Scan

ning

Fi

rew

all-T

ypes

, con

figur

atio

ns

SLO

-2

Cha

ract

eris

tics

of a

dvan

ced

sym

met

ric

Bloc

k ci

pher

s El

liptic

cur

ve c

rypt

ogra

phy

Pr

oof o

f DSS

Mes

sage

Aut

hent

icat

ion

Cod

es.

Port

Knoc

king

Tr

uste

d Sy

stem

Lea

rnin

g

Res

ou

rces

1.

Willi

am S

tallin

gs, C

rypt

ogra

phy

& N

etw

ork

Secu

rity,

6th e

d., P

ears

on, 2

014

2.

Bruc

e Sc

hnei

er, A

pplie

d C

rypt

ogra

phy,

2nd

ed.

, 201

5 3.

Er

ic M

aiw

ald,

Fund

amen

tals

of N

etw

ork

Secu

rity,

Tat

a M

cGra

w H

ill, 2

011

4.

Behr

ouzA

.For

ouza

n, D

ebde

ep M

ukho

padh

yay,

Cry

ptog

raph

y an

d N

etw

ork

Secu

rity,

2nd

ed.

, Ta

ta M

cGra

w H

ill, 2

010

5.

Bern

ard

Men

ezes

, Net

wor

k Se

curit

y an

d C

rypt

ogra

phy,

Cen

gage

Lea

rnin

g, 2

010

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

.,\

Co

urs

e D

esig

ner

s

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. P.

Mal

arve

zhi,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

80

Co

urs

e C

od

e 18

EC

E22

5T

Co

urs

e N

ame

Info

rmat

ion

The

ory

and

Cod

ing

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

MAB

203T

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/ S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Intro

duce

sou

rce

codi

ng in

info

rmat

ion

theo

ry

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Impa

rt th

e fu

ndam

enta

ls o

f erro

r con

trol c

odin

g te

chni

ques

and

thei

r app

licat

ions

Level of Thinking

(Bloom) Expected Proficiency

(%) Expected Attainment

(%)


Problem Analysis


Analysis, Design,

Research

Modern Tool Usage

Society & Culture

Environment &

Sustainability

Ethics


Communication


Life Long Learning


Achievement

PSO – 2: Project

Management Techniques

PSO – 3: Analyze &

Research

CL

R-3

:

Addr

ess

the

nois

y ch

anne

l cod

ing

prob

lem

C

LR

-4 :

As

sess

the

perfo

rman

ce o

f bot

h bl

ock

and

conv

olut

iona

l cod

ing

sche

mes

in d

iffer

ent p

ract

ical

situ

atio

ns

CL

R-5

:

Der

ive

Shan

non'

s fu

ndam

enta

l cha

nnel

cap

acity

resu

lts

CL

R-6

:

Know

abo

ut c

hann

el a

nd im

pairm

ents

cha

nnel

and

how

to m

itiga

te th

em

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

C

LO

-1 :

Ill

ustra

te a

bout

var

ious

sou

rce

codi

ng s

chem

es

2 65

70

- H

-

- -

- -

- -

- -

- -

- M

CL

O-2

:

Appl

y va

riabl

e le

ngth

cod

es fo

r sou

rce

codi

ng

2 65

70

- H

-

- -

- -

- -

- -

- -

- M

CL

O-3

:

Appl

y lin

ear b

lock

cod

es fo

r erro

r det

ectio

n an

d co

rrect

ion

2 65

70

- H

-

- -

- -

- -

- -

- -

M

-

CL

O-4

:

Appl

y co

nvol

utio

n co

des

for p

erfo

rman

ce a

naly

sis

& cy

clic

cod

es fo

r erro

r det

ectio

n an

d co

rrect

ion.

2

65

70

-

H

- -

- -

- -

- -

- -

- M

-

CL

O-5

:

Anal

yze

the

chan

nel p

erfo

rman

ce u

sing

Info

rmat

ion

theo

ry

2 65

70

- H

-

- -

- -

- -

- -

- -

- M

C

LO

-6 :

An

alyz

e an

y ty

pe o

f cha

nnel

and

sel

ect

codi

ng te

chni

ques

to im

prov

e ch

anne

l per

form

ance

2

65

70

-

H

- -

- -

- -

- -

- -

- -

M

Du

rati

on

(h

ou

r)

So

urc

e co

din

g

Var

iab

le-L

eng

th C

od

es

Err

or

Det

ecti

ng

an

d E

rro

r C

orr

ecti

ng

C

od

es

Co

nvo

luti

on

al C

od

es

En

tro

py

and

Ch

ann

el C

apac

ity

9 9

9 9

9

S-1

S

LO

-1

Intr

od

uct

ion

to

Info

rmat

ion

th

eory

U

niqu

e de

codi

ng

Ham

min

g co

des

Gen

erat

ion

Con

volu

tiona

l cod

es in

trod

uctio

n E

ntro

py

SL

O-2

M

odel

of s

igna

ling

syst

em

Ru

les

and

co

nst

ruct

ion

of

Uni

que

deco

ding

H

amm

ing

co

de

chec

kin

g

Con

volu

tiona

l cod

es g

ener

atio

n M

athe

mat

ical

pro

pert

ies

S-2

S

LO

-1

Blo

ck D

iag

ram

In

stan

tane

ous

code

s

Ham

min

g w

eigh

t C

onvo

lutio

nal e

ncod

er

Ent

ropy

and

cod

ing

SL

O-2

M

athe

mat

ical

mod

els

for

info

rmat

ion

sour

ces

Con

stru

ctio

n of

Inst

anta

neou

s co

des

Ham

min

g di

stan

ce

En

cod

er f

or

dif

fere

nt

rate

s S

yste

m e

ntro

pies

S-3

S

LO

-1

Enc

odin

g a

sour

ce a

lpha

bet

The

Kra

ft’s

ineq

ualit

y

Min

imum

dis

tanc

e de

codi

ng

code

tree

form

atio

n M

utua

l inf

orm

atio

n

SL

O-2

S

ou

rce

cod

ing

S

hort

ened

blo

ck c

odes

Li

near

blo

ck c

odes

Gen

erat

or p

olyn

omia

l co

de tr

ee fo

rmat

ion

Exa

mp

le P

rob

lem

so

lvin

g-

Mut

ual

info

rmat

ion

S-4

S

LO

-1

AS

CII

code

T

he M

cMill

an’s

Ineq

ualit

y

Line

ar b

lock

cod

es

Gen

erat

ion

st

ate

diag

ram

gen

erat

ion

Sha

nnon

-Fan

o co

ding

SL

O-2

C

od

e F

orm

atio

n f

or

an in

form

atio

n

Huf

fman

cod

es

Line

ar b

lock

cod

es

Dec

odin

g st

ate

diag

ram

gen

erat

ion

for

diffe

rent

ra

tes

Exa

mp

le P

rob

lem

so

lvin

g-

Sha

nnon

-F

ano

codi

ng

S-5

S

LO

-1

Rad

ix r

cod

e H

uffm

an c

odes

-sp

ecia

l cas

es

Exa

mp

le P

rob

lem

so

lvin

g-

Line

ar b

lock

co

des

tr

ellis

dia

gram

for

deco

ding

con

volu

tiona

l co

des

Cla

ssifi

catio

n of

cha

nnel

s

SL

O-2

D

iffe

ren

t ex

amp

les

for

dif

fere

nt

‘r’

Ext

ensi

ons

of a

cod

e

Cyc

lic c

odes

Gen

erat

or p

olyn

omia

l tr

ellis

dia

gram

for

deco

ding

con

volu

tiona

l co

des

Cha

nnel

Cap

acity

S-6

S

LO

-1

Sim

ple

parit

y ch

ecks

– G

ener

ator

H

uffm

an c

odes

Rad

ix r

C

yclic

cod

es G

ener

atio

n M

axim

um li

kelih

ood

deco

ding

of

conv

olut

iona

l cod

es

Cal

cula

tion

of c

hann

el c

apac

ity

SL

O-2

S

impl

e pa

rity

Ch

ecke

r E

xam

ple

Pro

ble

m s

olv

ing

in H

uff

man

co

din

g

Cyc

lic c

odes

Dec

odin

g M

axim

um li

kelih

ood

deco

ding

of

conv

olut

iona

l cod

es

Typ

es o

f ch

ann

el

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

81

Lea

rnin

g

Res

ou

rces

1.

Ken

nedy

, “E

lect

roni

c C

omm

unic

atio

n sy

stem

s”, M

cGra

w H

ill, 4

th E

d., 1

999

2.

Dan

iel C

oste

llo, a

nd S

hu L

in, “

Err

or C

ontr

ol c

odin

g fu

ndam

enta

ls a

nd a

pplic

atio

ns”,

Pre

ntic

e H

all I

nc, 1

983

3.

Ham

min

g, R

icha

rd W

, “C

odin

g an

d In

form

atio

n T

heor

y”, P

rent

ice

Hal

l Inc

., N

J, 1

986.

4.

Pro

akis

J. G

., “D

igita

l Com

mun

icat

ions

”, M

cGra

w H

ill In

c., 4

th E

ditio

n, N

Y, 2

001.

5.

S

imon

Hay

kin,

“C

omm

unic

atio

n S

yste

m”,

Wile

y, 2

008

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

J. S

ub

has

hin

i, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

S-7

S

LO

-1

CR

C c

odes

-Gen

erat

ion

Exa

mp

le P

rob

lem

so

lvin

g in

Hu

ffm

an

cod

ing

-sp

ecia

l cas

es

Exa

mp

le P

rob

lem

so

lvin

g -

Cyc

lic c

odes

S

eque

ntia

l dec

odin

g of

con

volu

tiona

l co

des-

C

ondi

tiona

l mut

ual i

nfor

mat

ion

SL

O-2

C

RC

cod

es-C

heck

ing

Noi

se in

Huf

fman

cod

ing

prob

abili

ties

E

xam

ple

Pro

ble

m s

olv

ing

- S

yndr

ome

calc

ulat

ion

Seq

uent

ial d

ecod

ing

of c

onvo

lutio

nal

code

s R

ando

m e

ncod

ing

S-8

S

LO

-1

Sin

gle

parit

y ch

ecks

U

se o

f Huf

fman

cod

es

Blo

ck e

ncod

ers

App

licat

ions

of V

iterb

i dec

odin

g

Ave

rage

ran

dom

cod

e

SL

O-2

D

oubl

e pa

rity

chec

ks

Ham

min

g co

ding

B

lock

Dec

oder

s V

iterb

i dec

odin

g F

ano

boun

d

S-9

S

LO

-1

Mis

cella

neou

s co

des

E

xam

ple

Pro

ble

m s

olv

ing

in H

amm

ing

co

din

g

Ass

ign

men

t P

rob

lem

s in

Lin

ear

Blo

ck

cod

es

Tur

bo c

odes

C

onve

rse

of S

hann

on’s

theo

rem

SL

O-2

P

rob

lem

s in

so

urc

e co

din

g w

ith

d

iffe

ren

t ra

dix

an

d p

arit

y A

ssig

nm

ent

Pro

ble

ms

in H

uff

man

an

d

Ham

min

g c

od

ing

A

ssig

nm

ent

Pro

ble

ms

in C

yclic

co

des

A

ssig

nm

ent

Pro

ble

ms

in C

on

volu

tio

nal

co

des

A

ssig

nm

ent

Pro

ble

ms

in C

han

nel

ca

pac

ity

and

mu

tual

info

rmat

ion

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

82

Co

urs

e C

od

e 18

EC

E22

6T

Co

urs

e N

ame

Opt

ical

Com

pone

nts,

Sys

tem

s an

d N

etw

orks

C

ou

rse

Cat

ego

ry

E

Pro

fess

iona

l Ele

ctiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18E

CC

302J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

the

basi

cs w

orki

ng p

rinci

ple

of o

ptic

al fi

bers

, fib

er m

odes

con

figur

atio

ns a

nd s

truct

ures

.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Lear

n th

e va

rious

opt

ical

sou

rce

mat

eria

ls, L

ED s

truct

ures

, qua

ntum

effi

cien

cy, L

aser

dio

des.

To

lear

n th

e fib

er o

ptic

al

netw

ork

com

pone

nts,

sw

itche

s, E

DFA

, SO

A.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Acqu

ire th

e ba

sic

know

ledg

e of

fibe

r opt

ical

rece

iver

s su

ch a

s PI

N A

PD d

iode

s, n

oise

per

form

ance

in p

hoto

det

ecto

r, re

ceiv

er o

pera

tion

and

conf

igur

atio

n.

CL

R-4

:

Get

the

know

ledg

e on

opt

ical

wav

e gu

ides

mod

ulat

ors

and

oth

er s

igna

l deg

rada

tion

fact

ors

CL

R-5

:

Und

erst

and

the

basi

c w

orki

ng p

rinci

ple

of W

DM

, DW

DM

etc

..

CL

R-6

:

Und

erst

and,

the

basi

c op

tical

net

wor

ks a

nd th

eir a

pplic

atio

ns

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Fam

iliariz

e w

ith th

e fu

ndam

enta

ls o

f lig

ht tr

ansm

issi

on th

roug

h fib

er

2 80

70

H

M

- -

- -

- -

- -

- -

H

- H

CL

O-2

:

Und

erst

and

how

sig

nal d

egra

des

insi

de th

e fib

er d

ue to

phy

sica

l effe

cts

and

exte

rnal

ly d

ue to

var

ious

fact

ors

like

alig

nmen

t, sp

licin

g an

d co

nnec

teriz

atio

n 2

85

75

H

M

-

- -

- -

- -

- -

- H

-

H

CL

O-3

:

Und

erst

and

the

oper

atio

n of

opt

ical

sou

rces

, am

plifi

ers

and

dete

ctor

s an

d th

ereb

y bu

ild tr

ansm

itter

and

rece

iver

circ

uits

2

75

70

H

-

- H

-

- -

- -

- -

- H

-

H

CL

O-4

:

Fam

iliariz

e w

ith o

ptic

al m

easu

rem

ents

for p

erfo

rman

ce a

naly

sis

2 85

80

H

M

- -

- M

M

-

- -

- -

H

- -

CL

O-5

:

Des

ign

a ba

sic

optic

al c

omm

unic

atio

n sy

stem

2

85

75

H

-

H

- -

- -

- -

- -

- H

-

M

CL

O-6

:

Acqu

ire fu

ndam

enta

l con

cept

s on

mul

ticha

nnel

sys

tem

and

rela

ted

com

pone

nts

2 80

70

- -

- -

M

- -

- -

- -

- -

- -

Du

rati

on

(H

ou

r)

Op

tica

l Fib

ers

and

tra

nsm

issi

on

ch

arac

teri

stic

s O

pti

cal S

ou

rces

, Am

plif

ier

an

d

Tra

nsm

itte

r

Op

tica

l Det

ecto

rs a

nd

rec

eive

rs

Op

tica

l mo

du

lato

rs, s

wit

ches

an

d

OE

ICs

Op

tica

l co

mm

un

icat

ion

sys

tem

s

9 9

9 9

9

S-1

SL

O-1

El

emen

ts o

f Opt

ical

fibe

r com

mun

icat

ion,

O

ptic

al s

pect

ral b

ands

In

trodu

ctio

n to

Lum

ines

cenc

e: P

hoto

, el

ectro

, cat

hodo

, in

ject

ion

lum

inis

cenc

e

Phot

o de

tect

ion

prin

cipl

e El

ectro

opt

ic m

odul

ator

s Po

int t

o po

int l

inks

SL

O-2

Opt

ical

fibe

r stru

ctur

e, L

ight

Pro

paga

tion

in

Opt

ical

fibe

rs: R

ay th

eory

, To

tal I

nter

nal

refle

ctio

n, S

kew

rays

, Fib

er ty

pes:

SI,

GI,

MM

, SM

Plas

ma

disp

lay,

LC

D

Phot

ocon

duct

or,

Acou

sto

optic

mod

ulat

ors

Dig

ital a

nd a

nalo

g sy

stem

s de

sign

co

nsid

erat

ions

S-2

S

LO

-1

Ove

rvie

w o

f Mod

es, C

utof

f wav

elen

gth

and

V nu

mbe

r, LE

D: C

hoic

e of

mat

eria

l,

Noi

se in

pho

toco

nduc

tors

, SN

R

Inte

rfero

met

ry m

odul

ator

s D

igita

l lin

k de

sign

,

SL

O-2

Pr

oble

ms

on v

-num

ber

LED

Stru

ctur

es; S

urfa

ce a

nd E

dge

emitt

ers,

R

espo

nse

time

Sem

icon

duct

or o

ptic

al a

mpl

ifier

s Li

nks

pow

er b

udge

t

S-3

S

LO

-1

Wav

e Eq

uatio

ns fo

r Ste

p in

dex

fiber

, M

odal

equ

atio

n, M

odes

in S

I fib

ers

Qua

ntum

effi

cien

cy a

nd p

ower

, LED

C

hara

cter

istic

s

Prob

lem

s on

resp

onse

tim

e an

d SN

R

Opt

ical

sw

itchi

ng a

nd lo

gic

devi

ces

Ris

e tim

e bu

dget

SL

O-2

Pr

oble

ms

on V

-num

ber,

mod

es

Prob

lem

s on

LED

qua

ntum

effi

cien

cy

Prob

lem

s on

Pho

toco

nduc

tor

Prob

lem

s on

mod

ulat

ors

Ove

rvie

w o

f ana

log

links

S-4

S

LO

-1

Spec

ial F

iber

s in

trodu

ctio

n, P

olar

izat

ion

Mai

ntai

ning

fibe

rs,

Sem

icon

duct

or L

aser

Dio

de, O

pera

ting

prin

cipl

es,

Phot

odio

de: P

IN P

hoto

diod

e

Opt

ical

sw

itchi

ng

Rad

io o

ver f

iber

s

SL

O-2

Ph

oton

ic C

ryst

al fi

bers

, Dis

pers

ion

com

pens

ated

fibe

r Em

issi

on a

bsor

ptio

n an

d ra

diat

ion

Av

alan

che

phot

odio

de

Logi

c de

vice

s Ke

y lin

k pa

ram

eter

s

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

83

S-5

S

LO

-1

Atte

nuat

ion

Intro

duct

ion

Popu

latio

n in

vers

ion

Det

ecto

r per

form

ance

par

amet

ers

H

ybrid

inte

grat

ion

Mul

ticha

nnel

sys

tem

s

SL

O-2

M

ater

ial A

dsor

ptio

n, S

catte

ring,

ben

ding

an

d co

re c

ladd

ing

loss

es

Opt

ical

feed

- bac

k, T

hres

hold

con

ditio

n D

etec

tors

for l

ong

wav

elen

gth

oper

atio

n M

onol

ithic

inte

grat

ion

Nee

d fo

r mul

tiple

xing

S-6

S

LO

-1

Prob

lem

s Ex

tern

al Q

uant

um e

ffici

ency

, LAS

ER

Cha

ract

eris

tics

wav

elen

gth

sele

ctiv

e de

tect

ion

Com

paris

on o

f hyb

rid a

nd m

onol

ithic

O

pera

ting

prin

cipl

e of

WD

M

SL

O-2

O

verv

iew

of S

igna

l dis

pers

ion

in fi

bers

Pr

oble

ms

on L

ASER

qua

ntum

effi

cien

cy

Fund

amen

tal r

ecei

ver o

pera

tion

Sl

ab w

aveg

uide

s O

pera

ting

prin

cipl

e of

DW

DM

S-7

S

LO

-1

Dis

pers

ion

limita

tions

, Int

erm

odal

di

sper

sion

Si

ngle

mod

e La

ser:

VCSE

L Fr

ont e

nd a

mpl

ifier

and

dec

isio

n ci

rcui

t St

rip w

aveg

uide

s W

DM

com

pone

nts

SL

O-2

In

tra-M

odal

dis

pers

ion:

Mat

eria

l dis

pers

ion,

Int

rodu

ctio

n to

Fib

er A

mpl

ifier

s Fu

nctio

nal b

lock

dia

gram

of r

ecei

ver c

ircui

t G

uide

d w

ave

devi

ces

Cou

pler

s/sp

litte

rs

S-8

S

LO

-1

Wav

egui

de d

ispe

rsio

n an

d PM

D

EDFA

M

easu

rem

ent s

tand

ards

, bas

ic te

st

equi

pmen

t Ac

tive

filte

rs

Isol

ator

s an

d ci

rcul

ator

s

SL

O-2

Pr

oble

ms

on D

ispe

rsio

n SO

A O

ptic

al s

pect

rum

ana

lyze

r Pr

oble

ms

Mac

hzen

der i

nter

fero

met

er

S-9

SL

O-1

N

on li

near

effe

cts

: Non

line

ar s

catte

ring,

Ke

rr ef

fect

s M

odul

atio

n c

hara

cter

istic

s an

d D

river

ci

rcui

ts

Opr

tical

pow

er m

eter

In

tegr

ated

Tra

nsm

itter

Fa

bry

pero

t filt

ers

SL

O-2

Fi

ber a

lignm

ent a

nd J

oint

Los

s, F

iber

Sp

lices

Opt

ical

fibe

r con

nect

ors,

Exp

ande

d Be

am C

onne

ctor

s

Func

tiona

l blo

ck d

iagr

am o

f a

Tran

smitt

er

mod

ule

OTD

R

Inte

grat

ed R

ecei

vers

O

ptic

al M

EMS

Lear

ning

R

esou

rces

1.

Ger

d Ke

iser

, “O

ptic

al F

iber

Com

mun

icat

ion”

McG

raw

–H

ill In

tern

atio

nal,

Sing

apor

e, 3

rd e

ditio

n,

2000

2.

J.

Wils

on a

nd J

F B

Haw

kes

“Opt

oele

ctro

nics

– A

n In

trodu

ctio

n”’ 3

rd E

ditio

n Pe

arso

nEdu

catio

n Ta

iwan

Ltd

201

0 3.

Pa

llab

Bhat

tach

ara

“Sem

icon

duct

ors

Opt

oele

ctro

nics

Dev

ices

”, 2nd

Edi

tion,

Pre

ntic

e H

all o

f Ind

ia

Pvt L

td, N

ew D

elhi

, 200

9.

4.

Jasp

rit S

ingh

“ O

ptoe

lect

roni

cs- A

n In

trodu

ctio

n to

Mat

eria

ls a

nd D

evic

es”,M

c G

raw

HillE

duca

tion

Indi

a 20

14.

5.

S C

Gup

ta “

Opt

oele

ctro

nics

Dev

ices

and

sys

tem

s”, 2

nd E

ditio

n, P

rent

ice

Hal

l of I

ndia

, 201

5.

6.

S O

Kas

ap “O

ptoe

lect

roni

cs a

nd P

hoto

nics

: Prin

cipl

es a

nd p

ract

ices

”, 2nd

Edi

tion

Pers

on E

duca

tion

Inte

rnat

iona

l, 20

12.

7.

Raj

iv R

amas

wam

i, Ku

mar

N. S

ivar

anja

n, “O

ptic

al N

etw

orks

A p

ract

ical

per

spec

tive”

, 2nd

edi

tion,

Els

evie

r, 20

04

8.

Dja

far K

. Myn

baev

, Low

ell L

. Sch

eine

r, “F

iber

-Opt

ic C

omm

unic

atio

ns T

echn

olog

y”, 1

st e

ditio

n, P

ears

on

Educ

atio

n, 2

001.

9.

Jo

hn P

ower

s, “A

n In

trodu

ctio

n to

Fib

er o

ptic

Sys

tem

s”, 2

nd e

ditio

n, Ir

win

-McG

raw

Hill,

1999

. 10

. J.

Gow

ar, “

Opt

ical

Com

mun

icat

ion

Syst

em”,

2nd

editi

on, P

rent

ice

Hal

l of I

ndia

, 200

1.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

B. R

amak

rishn

a, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

Shan

thi P

rince

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

84

Co

urs

e C

od

e 18

EC

E32

0T

Co

urs

e N

ame

SO

FT

WA

RE

DE

FIN

ED

NE

TW

OR

KS

C

ou

rse

Cat

ego

ry

E P

rofe

ssio

nal E

lect

ive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18EC

C30

3J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

andi

ng S

DN

- Evo

lutio

n

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Und

erst

andi

ng T

he C

ontro

l Pla

ne, D

ata

Plan

e of

SD

N





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO–1: Professional Achievement PSO – 2: Project


Research

CL

R-3

:

Anal

yze

and

unde

rsta

nd v

ario

us S

DN

con

trolle

r

CL

R-4

:

Cre

ate

insi

ghts

to th

e st

anda

rd O

penF

low

for S

DN

CL

R-5

:

unde

rsta

nd th

e N

etw

ork

Prog

ram

mab

ility

for S

DN

and

SD

N O

pen

Sour

ce

CL

R-6

:

und

erst

and

the

Appl

icat

ion

of S

DN

and

role

of S

DN

in 5

G

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expl

ain

abou

t the

SD

N a

rchi

tect

ure

and

its b

enef

its

1 65

65

H

- M

-

- -

- -

- -

- -

- -

- C

LO

-2 :

D

iscu

ss a

bout

SD

N c

ontro

llers

1

65

65

H

-

- -

- -

- -

- -

- -

- -

M

CL

O-3

:

Expr

ess

abou

t the

pro

gram

min

g of

SD

N e

lem

ents

1

65

65

H

-

- -

- -

- -

- -

- -

M

- -

CL

O-4

:

Inte

rpre

t NVF

for n

ext g

ener

atio

n ne

twor

ks a

nd 5

G

1 65

65

H

- -

- -

- -

- -

- -

- -

- M

C

LO

-5 :

D

escr

ibe

abou

t the

pos

sibl

e ap

plic

atio

ns o

f SD

N

1 65

65

H

- M

-

- -

- -

- -

- -

- -

- C

LO

-6 :

D

iscu

ss a

bout

the

stan

dard

Ope

nFlo

w

1 65

65

H

- M

-

- -

- -

- -

- -

- -

-

Du

rati

on

(h

ou

r)

Bas

ics

of

SD

N

SD

N D

evic

es a

nd

Co

ntr

olle

r O

pen

Flo

w, P

rog

ram

mab

ility

an

d t

he

Man

agem

ent

Inte

rfac

e S

DN

Ap

plic

atio

n a

nd

Use

Cas

e S

DN

Imp

lem

enta

tio

n a

nd

Mo

bile

N

etw

ork

s

9 9

9 9

9

S-1

S

LO

-1

Intro

duct

ion

to S

DN

-Evo

lutio

n of

Sw

itche

s an

d C

ontro

l Pla

nes

,Cos

t H

ow S

DN

Wor

ks-F

unda

men

tal

Cha

ract

eris

tics

of S

DN

O

penF

low

Ove

rvie

w-T

he O

penF

low

Sw

itch,

The

Ope

nFlo

w C

ontro

ller,

SDN

in th

e D

ata

Cen

ter -

Dat

a C

ente

r D

efin

ition

,Dat

a C

ente

r Dem

ands

SDN

Ope

n So

urce

-Cha

pter

-Spe

cific

Te

rmin

olog

y ,O

pen

Sour

ce L

icen

sing

Is

sues

SL

O-2

In

trodu

ctio

nto

SDN

-SD

N Im

plic

atio

ns fo

r R

esea

rch

and

Inno

vatio

n SD

N O

pera

tion,

SD

N D

evic

es

The

Ope

nFlo

w P

roto

col,T

he O

penF

low

Pr

otoc

ol

Tunn

elin

g Te

chno

logi

es fo

r the

Dat

a C

ente

r. Pr

ofile

s of

SD

N O

pen

Sour

ce U

sers

,O

penF

low

Sou

rce

Cod

e,

S-2

SL

O-1

ne

ed o

f SD

N-D

ata

Cen

ter I

nnov

atio

n,

SDN

Con

trolle

r O

penF

low

1.0

and

Ope

nFlo

w B

asic

s-Po

rts

and

Port

Que

ues,

Flow

Tab

le,P

acke

t M

atch

ing,

Path

Tec

hnol

ogie

s in

the

Dat

a C

ente

Et

hern

et F

abric

s in

the

Dat

a C

ente

r

Switc

h Im

plem

enta

tions

, C

ontro

ller I

mpl

emen

tatio

ns

SD

N A

pplic

atio

ns

SL

O-2

ne

ed o

f SD

N- D

ata

Cen

ter N

eeds

SD

N A

pplic

atio

ns ,A

ltern

ate

SDN

Met

hods

Ac

tions

and

Pac

ket F

orw

ardi

ng,M

essa

ging

Be

twee

n C

ontro

ller a

nd S

witc

h SD

N U

se C

ases

in th

e D

ata

Cen

ter

Sim

ulat

ion,

Tes

ting,

and

Too

ls,

Ope

nSta

ck,

Exam

ple:

App

lyin

g SD

N O

pen

Sour

ce .

S-3

S

LO

-1

Gen

esis

of S

DN

-The

Evo

lutio

n of

N

etw

orki

ng T

echn

olog

y G

ener

al C

once

pts

of S

DN

Con

trolle

r

Exam

ple:

Con

trolle

r Pro

gram

min

g Fl

ow

Tabl

e ,E

xam

ple:

Bas

ic P

acke

t For

war

ding

, Ex

ampl

e: S

witc

h Fo

rwar

ding

Pac

ket t

o C

ontro

ller

Ope

n SD

N v

ersu

s O

verla

ys in

the

Dat

a C

ente

r SD

N F

utur

es-C

urre

nt S

tate

of A

ffairs

SL

O-2

th

e G

enes

is o

f SD

N- f

orer

unne

rs o

f SD

N

VMw

are

O

penF

low

1.3

Add

ition

s an

d O

penF

low

Li

mita

tions

R

eal-W

orld

Dat

a C

ente

r Im

plem

enta

tions

Po

tent

ial N

ovel

App

licat

ions

of O

pen

SDN

S-4

S

LO

-1

the

Gen

esis

of S

DN

- sof

twar

e D

efin

ed

Net

wor

king

is B

orn,

Sus

tain

ing

SDN

In

tero

pera

bilit

y

Nic

ira

Intro

duct

ion

to N

etw

ork

Prog

ram

mab

ility

and

The

Man

agem

ent I

nter

face

SDN

in O

ther

Env

ironm

ents

-Wid

e Ar

ea

Net

wor

ks. S

ervi

ce P

rovi

der a

nd C

arrie

r N

etw

orks

role

of S

DN

in 5

G- D

raw

back

of h

ardw

are-

base

d ne

twor

k fu

nctio

ns.,N

etw

ork

Func

tions

Virt

ualiz

atio

n (N

FV)

and

Softw

are

Def

ined

Net

wor

king

(SD

N) i

n

5G

SL

O-2

O

pen

Sour

ce C

ontri

butio

ns, L

egac

y M

echa

nism

s Ev

olve

Tow

ard

SDN

, VM

war

e/N

icira

Th

e Ap

plic

atio

n-N

etw

ork

Div

ide

Cam

pus

Net

wor

ks, H

ospi

talit

y N

etw

orks

op

timiz

atio

n m

odel

s th

at

aim

at f

indi

ng th

e op

timal

des

ign

for a

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

85

Net

wor

k V

irtua

lizat

ion

mob

ile c

ore

netw

ork

base

d on

SD

N a

nd N

FV

S-5

S

LO

-1

The

Con

trol P

lane

, Dat

a Pl

ane

Ope

nFlo

w-R

elat

ed

, M

oder

n Pr

ogra

mm

atic

Inte

rface

s-Pu

blis

h an

d Su

bscr

ibe

Inte

rface

s, X

MPP

M

obile

Net

wor

ks. I

n-Li

ne N

etw

ork

Func

tions

, SD

N a

nd N

FV M

obile

Net

wor

k Ar

chite

ctur

es

SL

O-2

M

ovin

g In

form

atio

n Be

twee

n Pl

anes

, Se

para

tion

Impo

rtanc

e M

inin

et ,N

OX/

POX

G

oogl

e’s

Prot

ocol

Buf

fers

, Th

rift ,

JSO

N

Opt

ical

Net

wor

ks

Dim

ensi

onin

g an

d R

esou

rce

Allo

catio

n Pr

oble

ms

S-6

SL

O-1

D

istri

bute

d C

ontro

l Pla

nes-

IP a

nd M

PLS,

C

reat

ing

the

IP U

nder

lay,

Con

verg

ence

Ti

me

Tr

ema,

Ryu

I2

RS

143

Mod

ern

Orc

hest

ratio

n-O

penS

tack

SD

N v

s. P

2P/O

verla

y N

etw

orks

M

obile

Cor

e N

etw

ork

Arch

itect

ure

SL

O-2

Lo

ad B

alan

cing

,Hig

h Av

aila

bilit

y,

Cre

atin

g th

e M

PLS

Ove

rlay,

Rep

licat

ion

Big

Switc

h N

etw

orks

/Flo

odlig

ht,

C

loud

Stac

k, p

uppe

t SD

N A

pplic

atio

ns-re

activ

e ve

rsus

Pr

oact

ive

Appl

icat

ions

,Ana

lyzi

ng S

impl

e SD

N A

pplic

atio

ns ,

SDN

Mob

ile C

ore

Net

wor

k Ar

chite

ctur

e

S-7

SL

O-1

C

entra

lized

Con

trol P

lane

s-Lo

gica

l Ver

sus

Lite

ral

Laye

r 3 C

entri

c, L

3VPN

In

trodu

ctio

n to

Net

wor

k Fu

nctio

n Vi

rtual

izat

ion,

Virt

ualiz

atio

n an

d D

ata

Plan

e I/O

A Si

mpl

e R

eact

ive

Java

Ap

plic

atio

n,Ba

ckgr

ound

on

Con

trolle

rs

NFV

Mob

ile C

ore

Net

wor

k Ar

chite

ctur

e

SL

O-2

AT

M/L

ANE

,Rou

te S

erve

rs

Path

Com

puta

tion

Elem

ent S

erve

r Se

rvic

es E

ngin

eere

d Pa

th

Usi

ng th

e Fl

oodl

ight

Con

trolle

r, U

sing

the

Ope

nDay

light

Con

trolle

r, U

sing

the

Cis

co

XNC

Con

trolle

r, U

sing

the

Hew

lett-

Pack

ard

Con

trolle

r.

Dat

a Pl

ane

Func

tion

Cha

ins

Anal

ysis

S-8

S

LO

-1

Intro

duct

ion

to O

penF

low

-Wire

Pro

toco

l Pa

th C

ompu

tatio

n El

emen

t Ser

ver

Serv

ice

Loca

tions

and

Cha

inin

g

witc

h C

onsi

dera

tions

, Cre

atin

g N

etw

ork

Virtu

aliz

atio

n Tu

nnel

s, O

ffloa

ding

Flo

ws

in

the

Dat

a C

ente

r, Ac

cess

Con

trol f

or th

e C

ampu

s, T

raffc

Eng

inee

ring

for S

ervi

ce

Prov

ider

s

Con

trol P

lane

Fun

ctio

n C

hain

s An

alys

is

SL

O-2

R

eplic

atio

n ,F

AWG

(For

war

ding

Ab

stra

ctio

n W

orkg

roup

) Pl

exxi

Ple

xxi A

ffini

ty

N

on-E

TSI N

FV W

ork-

Mid

dleb

ox S

tudi

e SD

N U

se C

ases

-Use

Cas

es fo

r Ban

dwid

th

Sche

dulin

g re

quire

men

ts &

cha

lleng

es o

f SD

N a

nd

NVF

In 5

G

S-9

S

LO

-1

Con

figur

atio

n a

nd E

xten

sibi

lity,

Arch

itect

ure

C

isco

One

PK

Em

bran

e/Li

neR

ate

Bi

g D

ata

and

Appl

icat

ion

Hyp

er-

Virtu

aliz

atio

n fo

r Ins

tant

CSP

F Ex

istin

g So

lutio

ns

SL

O-2

H

ybrid

App

roac

hes

, Sh

ips

in th

e N

ight

,Dua

l Fun

ctio

n Sw

itche

s R

elat

ions

hip

to th

e Id

ealiz

ed S

DN

Fr

amew

ork

Plat

form

Virt

ualiz

atio

n us

e C

ases

for I

nput

Tra

ffic

Mon

itorin

g,

Cla

ssifi

catio

n, a

nd T

rigge

red

Actio

n fu

ture

dire

ctio

ns

Lea

rnin

g

Res

ou

rces

1.

Softw

are

Def

ined

Net

wor

ks: A

Com

preh

ensi

ve A

ppro

ach

by P

aul G

oran

sson

and

Chu

ck

Blac

k, M

orga

n Ka

ufm

ann

Publ

icat

ions

, 201

4

2.

SDN

- So

ftwar

e D

efin

ed N

etw

orks

by

Thom

as D

. Nad

eau

& Ke

n G

ray,

O'R

eilly

, 201

3

3.

Cho

, Hsi

n-H

ung,

et a

l. "In

tegr

atio

n of

SD

R a

nd S

DN

for 5

G."

IEEE

Acc

ess

2 (2

014)

: 11

96-1

204.

4.

Bour

as, C

hris

tos,

Ana

stas

ia K

ollia

, and

And

reas

Pap

azoi

s. "S

DN

& N

FV in

5G

: Adv

ance

men

ts a

nd c

halle

nges

." In

nova

tions

in C

loud

s, In

tern

et a

nd N

etw

orks

(IC

IN),

2017

20t

h C

onfe

renc

e on

. IEE

E, 2

017.

5.

Ar

sany

Bas

ta; A

ndre

as B

lenk

; Kla

us H

offm

ann;

Han

s Jo

chen

Mor

per;

Mar

co H

offm

ann;

Wol

fgan

g Ke

llere

r, To

war

ds a

Cos

t Opt

imal

Des

ign

for a

5G

Mob

ile C

ore

Net

wor

k Ba

sed

on S

DN

and

NFV

,,IEE

E Tr

ansa

ctio

ns o

n N

etw

ork

and

Serv

ice

Man

agem

ent,

2017

, Vol

ume:

14,

Issu

e: 4

,Pag

es: 1

061

- 107

5

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

86

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. V

ijaya

kum

ar, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

87

Co

urs

e C

od

e 18

EC

E32

1T

Co

urs

e N

ame

RF

AN

D M

ICR

OW

AV

E S

EM

ICO

ND

UC

TO

R D

EV

ICE

S

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18EC

C10

2J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Stud

y m

icro

wav

e se

mic

ondu

ctor

mat

eria

ls a

nd to

und

erst

and

the

fund

amen

tal o

f ele

ctro

nic

com

pone

nts

unde

r m

icro

wav

e si

gnal

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Lear

n ab

out m

icro

wav

e co

mpo

nent

s an

d de

vice

s th

at a

re u

sed

in m

oder

n m

icro

wav

e ra

dar a

nd c

omm

unic

atio

n sy

stem

s





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Know

the

char

acte

ristic

s an

d op

erat

ion

of m

icro

wav

e tra

nsis

tor.

CL

R-4

:

Know

the

fund

amen

tals

of

RF

pow

er tr

ansi

stor

s an

d ch

alle

nges

C

LR

-5 :

D

iscu

ss th

e m

ain

issu

es a

nd c

halle

nges

enc

ount

ered

in d

evel

opin

g th

e pr

oduc

ts a

t mic

row

ave

frequ

enci

es

CL

R-6

:

Acqu

ire d

eep

unde

rsta

ndin

g of

dev

elop

men

t of R

F an

d m

oder

n se

mic

ondu

ctor

dev

ices

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Und

erst

and

the

prop

ertie

s of

Sem

icon

duct

or J

unct

ion

Dio

des

unde

r mic

row

ave

sign

als

3 80

75

H

- -

H

- -

- -

- -

- -

H

- -

CL

O-2

:

Ana

lyze

the

deve

lopm

ent o

f neg

ativ

e re

sist

ance

cha

ract

eris

tics

in tu

nnel

dio

de a

nd tr

ansi

t tim

e de

vice

s 3

80

70

H

-

- M

-

- -

- -

- -

- H

-

- C

LO

-3 :

C

hara

cter

ize

the

mic

row

ave

com

pone

nts

and

circ

uits

in te

rms

of th

eir p

erfo

rman

ce p

aram

eter

s 3

75

70

H

-

- H

-

- -

- -

- -

- H

-

H

CL

O-4

:

Com

pare

the

cha

ract

eris

tics

of R

F po

wer

tran

sist

ors

3 80

75

H

- -

M

- -

- -

- -

- -

M

- -

CL

O-5

:

Appr

ecia

te IC

pac

kagi

ng is

sues

and

cha

lleng

es in

volv

ed a

t mic

row

ave

frequ

enci

es

3 80

70

H

- H

-

- -

- -

- -

- -

H

- M

C

LO

-6 :

U

nder

stan

d th

e co

ncep

ts o

f RF

and

sem

icon

duct

or d

evic

es a

nd a

pply

in th

e d

esig

n of

ele

ctro

nic

syst

ems.

3

80

70

H

H

-

- -

- -

- -

- -

H

-

H

S

emic

on

du

cto

r P

-N J

un

ctio

n

Neg

ativ

e R

esis

tan

ce a

nd

Tra

nsi

t T

ime

Dev

ices

M

icro

wav

e B

JT T

ran

sist

ors

H

EM

T T

ran

sist

ors

an

d R

F P

ow

er

Tra

nsi

sto

r R

F P

acka

ge

Des

ign

an

d D

evel

op

men

t

Dur

atio

n (h

our)

9

9 9

9 9

S-1

S

LO-1

R

evie

w o

f pro

perti

es o

f sem

icon

duct

ors

Neg

ativ

e R

esis

tanc

e D

evic

es

Mic

row

ave

Tran

sist

or

Intro

duct

ion

to H

EMT

Intro

duct

ion

to R

F Pa

ckag

e

SLO

-2

Rev

iew

of p

rope

rties

of s

emic

ondu

ctor

s N

egat

ive

Res

ista

nce

Dev

ices

H

igh

frequ

ency

lim

itatio

ns o

f BJT

Sh

ort c

hann

el e

ffect

s In

trodu

ctio

n to

RF

Pack

age

S-2

S

LO-1

Tr

ansi

ent a

nd a

c be

havi

or o

f p-n

junc

tions

Tu

nnel

Dio

de, T

unne

ling

proc

ess

in p

-n

junc

tion

Mic

row

ave

bipo

lar t

rans

isto

rs –

in

trodu

ctio

n D

evic

e op

erat

ion

Ther

mal

Man

agem

ent

SLO

-2

Tran

sien

t and

ac

beha

vior

of p

-n ju

nctio

ns

V-I c

hara

cter

istic

s an

d de

vice

per

form

ance

M

icro

wav

e bi

pola

r tra

nsis

tors

– o

pera

tion

Dev

ice

oper

atio

n Th

erm

al M

anag

emen

t

S-3

S

LO-1

Ef

fect

of d

opin

g pr

ofile

on

the

capa

cita

nce

of p

-n ju

nctio

ns

MIS

tunn

el d

iode

s H

eter

o ju

nctio

n bi

pola

r tra

nsis

tors

D

evic

e de

sign

M

echa

nica

l Des

ign

SLO

-2

Effe

ct o

f dop

ing

prof

ile o

n th

e ca

paci

tanc

e of

p-n

junc

tions

V-

I cha

ract

eris

tics

and

devi

ce p

erfo

rman

ce

Basi

c pr

inci

ple

of o

pera

tion

Sc

alin

g is

sues

M

echa

nica

l Des

ign

S-4

S

LO-1

N

oise

in p

-n ju

nctio

ns

Back

war

d D

iode

Ki

rk e

ffect

M

ater

ial S

yste

ms

for H

EMT

Dev

ices

Pa

ckag

e el

ectri

cal a

nd e

lect

rom

agne

tic

Mod

elin

g

SLO

-2

Noi

se in

p-n

junc

tions

V-

I Cha

ract

eris

tics

Hig

h fre

quen

cy re

spon

se

GaA

s H

EMT

Pack

age

elec

trica

l and

ele

ctro

mag

netic

M

odel

ing

S-5

S

LO-1

Va

ract

or d

iode

Tr

ansf

erre

d El

ectro

n D

evic

es

MES

FET

In

P H

EMT

Des

ign

verif

icat

ion

SLO

-2

Con

stru

ctio

n an

d O

pera

tion

of V

arac

tor

Dio

de

Impa

ct io

niza

tion

Prin

cipl

e of

ope

ratio

n

Tech

nolo

gy c

ompa

rison

s D

esig

n ve

rific

atio

n

S-6

S

LO-1

Ap

plic

atio

ns o

f Var

acto

r Dio

de

IMPA

TT

Prop

ertie

s of

sem

icon

duct

or m

ater

ials

us

ed in

MES

FET

Te

chno

logy

com

paris

ons

Mat

eria

ls te

stin

g

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

88

SLO

-2

Scho

ttky

effe

ct

Smal

l-sig

nal a

naly

sis

of IM

PATT

dio

des

MES

FET

Tech

nolo

gy

Intro

duct

ion

of R

F po

wer

tran

sist

or

Rel

iabi

lity

test

ing

S-7

S

LO-1

Sc

hottk

y ba

rrier

dio

de

TRAP

ATT,

BAR

ITT

Dio

des

MES

FET

Mod

elin

g Fi

gure

of M

erit

for R

F Po

wer

Tra

nsis

tor

com

pute

r int

egra

ted

Man

ufac

turin

g

SLO

-2

Appl

icat

ions

of S

chot

tky

Dio

de

Two-

valle

y m

odel

of c

ompo

und

sem

icon

duct

ors

I-V C

hara

cter

istic

s C

omm

on R

F po

wer

dev

ices

co

mpu

ter i

nteg

rate

d M

anuf

actu

ring

S-8

S

LO-1

H

eter

o ju

nctio

ns

vd-E

cha

ract

eris

tics

Hig

h fre

quen

cy p

erfo

rman

ce

Mat

eria

l pro

perti

es

Ther

mal

mod

elin

g

SLO

-2

Het

ero

junc

tions

G

unn

Effe

ct, m

odes

of o

pera

tion

MIS

FET-

Intro

duct

ion

Stat

e-of

-the-

art-w

ide

band

gap

mic

row

ave

trans

isto

r dat

a

Ther

mal

ana

lysi

s of

resi

stan

ce n

etw

orks

S-9

S

LO-1

C

onst

ruct

ion

and

oper

atio

n of

mic

row

ave

PIN

dio

de

smal

l-sig

nal a

naly

sis

of G

unn

diod

e O

pera

ting

char

acte

ristic

s of

MIS

FET

Cha

lleng

es to

pro

duct

ion

Intro

duct

ion

to c

ompu

ter a

ided

des

ign

SLO

-2

Appl

icat

ions

Po

wer

-freq

uenc

y lim

it.

Ope

ratin

g ch

arac

teris

tics

of M

ISFE

T C

halle

nges

to p

rodu

ctio

n Be

nefit

s, li

mita

tions

and

app

licat

ions

of

CAD

Lea

rnin

g

Res

ou

rces

1.

Gol

io, M

., “R

F an

d M

icro

wav

e Se

mic

ondu

ctor

Dev

ices

Han

dboo

k”, C

RC

Pre

ss (

2002

). 2S

ze, S

.M.,

and

Ng,

K.K

., “P

hysi

cs o

f Sem

icon

duct

or D

evic

es”,

3rd

Ed.,

Wile

y-In

ters

cien

ce (

2006

).

3

. Glo

ver,

I.A.,

Penn

oek,

S.R

. and

She

pher

d P.

R.,

“Mic

row

ave

Dev

ices

, Circ

uits

and

Sub

-Sys

tem

s”, 4

th E

d., J

ohn

Wile

y &

Sons

(200

5)

4

. Lia

o, S

.Y.,

“Mic

row

ave

Dev

ices

and

Circ

uits

”, 4t

h Ed

., Pe

arso

n Ed

ucat

ion

(200

2).

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. M

r. E.

Siv

a Ku

mar

, SR

M IS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

89

Co

urs

e C

od

e 18

EC

E32

2T

Co

urs

e N

ame

OP

TO

EL

EC

TR

ON

ICS

C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

ECC

102J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Iden

tify

the

wor

king

and

nat

ure

of o

ptic

al w

ave

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Iden

tify

the

wor

king

and

nat

ure

of o

ptic

al s

emic

ondu

ctor

s





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Research

CL

R-3

:

Anal

yze

the

wor

king

prin

cipl

es o

f diff

eren

t pho

toni

c so

urce

s

CL

R-4

:

Anal

yze

the

wor

king

prin

cipl

es o

f diff

eren

t pho

toni

c de

tect

ors

CL

R-5

:

Cre

ate

know

ledg

e ab

out v

ario

us o

ptoe

lect

roni

c ap

plic

atio

ns

CL

R-6

:

Fam

iliariz

e th

e co

ncep

ts o

f opt

oele

ctro

nic

inte

grat

ed c

ircui

ts

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Rev

iew

the

basi

cs o

f opt

ics,

opt

ical

sem

icon

duct

ors

2

85

80

H

H

-

- -

- -

- -

- -

M

- -

- C

LO

-2 :

U

nder

stan

d th

e w

orki

ng p

rinci

ple

of d

iffer

ent p

hoto

nic

sour

ces

4 85

75

H

H

H

H

- -

- -

- -

- M

L

- H

CL

O-3

:

Fam

iliar

ize

the

prin

cipl

e an

d op

erat

ion

of v

ario

us d

etec

tors

4

85

75

H

H

H

H

-

- -

- -

- -

M

L -

H

CL

O-4

:

Acq

uire

kno

wle

dge

of v

ario

us o

ptoe

lect

roni

c m

odul

ator

s an

d sw

itche

s 4

80

70

H

H

-

- -

- -

- -

- -

M

- -

- C

LO

-5 :

E

xplo

re th

e co

ncep

ts o

f opt

oele

ctro

nic

inte

grat

ed c

ircui

ts a

nd c

ompo

nent

s 4

80

70

H

-

H

- -

- -

- -

- -

M

L -

- C

LO

-6 :

D

esig

n an

d an

alyz

e th

e w

orki

ng o

f diff

eren

t com

pone

nts

in o

ptic

al s

yste

m a

nd u

se it

for

vario

us a

pplic

atio

ns.

4 80

70

H

H

H

H

- -

- -

- -

- M

-

- H

Du

rati

on

(h

ou

r)

WA

VE

NA

TU

RE

OF

LIG

HT

AN

D

SE

MIC

ON

DU

CT

OR

OP

TIC

S

SE

MIC

ON

DU

CT

OR

PH

OT

ON

SO

UR

CE

S

AN

D D

ISP

LA

Y D

EV

ICE

S

SE

MIC

ON

DU

CT

OR

PH

OT

ON

D

ET

EC

TO

RS

O

PT

OE

LE

CT

RO

NIC

MO

DU

LA

TO

RS

, IN

TE

RC

ON

NE

CT

S A

ND

SW

ITC

HE

S

OP

TO

EL

EC

TR

ON

IC IN

TE

GR

AT

ED

C

IRC

UIT

S (

OE

IC)

AN

D A

PP

LIC

AT

ION

S

9 9

9 9

9

S-1

SL

O-1

Li

ght W

aves

In A

Hom

ogen

eous

Med

ium

- Pl

ane

elec

trom

agne

tic w

ave,

Max

wel

l’s

wav

e eq

uatio

n

LED

Prin

cipl

es- H

omoj

unct

ion

LED

, H

eter

ostru

ctur

e LE

D

Prin

cipl

e of

Pho

to D

etec

tion

Elec

tro-O

ptic

Mod

ulat

or: P

rinci

ples

, Ele

ctro

op

tic e

ffect

In

trodu

ctio

n

SL

O-2

R

efra

ctiv

e In

dex

And

Dis

pers

ion-

Sel

lmei

er

equa

tion

and

diam

ond,

Cau

chy

equa

tion

and

diam

ond

Qua

ntum

Wel

l Hig

h In

tens

ity L

EDs

The

PIN

Pho

todi

ode

Sing

le w

aveg

uide

ele

ctro

opt

ic m

odul

ator

s N

eed

For I

nteg

ratio

n

S-2

S

LO

-1

Pola

rizat

ion

Of L

ight

LE

D M

ater

ials

and

Stru

ctur

es

Aval

anch

e Ph

otod

iode

- Prin

cipl

es,

Stru

ctur

es

Dua

l cha

nnel

wav

egui

de e

lect

ro o

ptic

m

odul

ator

Sl

ab a

nd s

tripe

wav

egui

des

SL

O-2

Sn

ell’s

law

and

Tot

al in

tern

al re

flect

ion

LED

Effi

cien

cies

and

Lum

inou

s Fl

ux

Res

pons

ivit,

Effi

cien

cy

Elec

tro o

ptic

mod

ulat

or e

mpl

oyin

g re

flect

ion

or D

iffra

ctio

n Ba

sic

IO s

truct

ural

ele

men

ts

S-3

S

LO

-1

Ref

lect

ion

And

Ref

ract

ion

Man

ufac

turin

g Pr

oces

s an

d Ap

plic

atio

ns

H

eter

ojun

ctio

n Ph

otod

iode

s In

tegr

ated

Opt

ical

Mod

ulat

ors:

Pha

se a

nd

pola

rizat

ion

mod

ulat

ion

IO d

evic

es: O

ptic

al d

isk

read

hea

d

SL

O-2

So

lvin

g pr

oble

ms

Solv

ing

Prob

lem

s Sc

hottk

y Ju

nctio

n Ph

otod

etec

tors

M

ach

Zehn

der m

odul

ator

, Cou

pled

w

aveg

uide

mod

ulat

or

OIC

tem

pera

ture

sen

sor

S-4

S

LO

-1

Supe

rpos

ition

And

Inte

rfere

nce

Of W

aves

LA

SER

: Thr

esho

ld C

ondi

tion

Solv

ing

prob

lem

s Ac

oust

o-O

ptic

Mod

ulat

or: P

rinci

ples

, Ac

oust

o op

tic e

ffect

, Ram

an n

ath

and

Brag

g ty

pe m

odul

ator

s IO

hig

h vo

ltage

sen

sor

SL

O-2

D

iffra

ctio

n Pr

inci

ples

- Fr

aunh

ofer

di

ffrac

tion,

Diff

ract

ion

Gra

ting

Emis

sion

and

Abs

orpt

ion

of R

adia

tion

Solv

ing

prob

lem

s Pe

rform

ance

cha

ract

eris

tics,

Aco

usto

opt

ic

frequ

ency

shi

fters

IO

che

mic

al s

enso

r

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

90

S-5

SL

O-1

O

verv

iew

Of S

emic

ondu

ctor

s Po

pula

tion

Inve

rsio

n M

etal

-Sem

icon

duct

or, M

etal

Pho

todi

ode

Solv

ing

prob

lem

s IO

wav

elen

gth

met

ers

and

spec

trum

an

alyz

ers

SL

O-2

In

tera

ctio

n o

f Pho

tons

With

Cha

rge

Car

riers

P

rinci

ple

of th

e La

ser D

iode

Ph

otot

rans

isto

rs

Solv

ing

prob

lem

s R

F Sp

ectru

m A

naly

zer

S-6

S

LO

-1

Hol

e Pa

ir Fo

rmat

ion

And

Rec

ombi

natio

n

Het

eros

truct

ure

Lase

r Dio

des

Arra

y D

etec

tors

Fa

rada

y R

otat

ion

M

onol

ithic

Wav

elen

gth-

Mul

tiple

xed

Opt

ical

So

urce

SL

O-2

Ab

sorp

tion

In S

emic

ondu

ctor

s D

evic

e Fa

bric

atio

n Ph

otoc

ondu

ctiv

e de

tect

ors

Opt

ical

Isol

ator

s An

alog

-To-

Dig

ital C

onve

rter

S-7

S

LO

-1

Effe

ct O

f Ele

ctric

Fie

ld O

n Ab

sorp

tion

Solv

ing

prob

lem

s N

oise

In P

hoto

dete

ctor

s N

onlin

ear O

ptic

s In

tegr

ated

-Opt

ic D

oppl

er V

eloc

imet

er

SL

O-2

Ab

sorp

tion

In Q

uant

um W

ells

D

ispl

ay D

evic

e: P

hoto

Lum

ines

cenc

e N

oise

In P

hoto

dete

ctor

s Se

cond

Har

mon

ic G

ener

atio

n G

uide

d W

ave

Dev

ices

S-8

S

LO

-1

Rad

iatio

n In

Sem

icon

duct

ors

Cat

hode

Lum

ines

cenc

e, E

lect

ro

Lum

ines

cenc

e So

lvin

g pr

oble

ms

Opt

ical

Inte

rcon

nect

s G

uide

d W

ave

Dev

ices

SL

O-2

So

lvin

g Pr

oble

ms

Inje

ctio

n Lu

min

esce

nce

Solv

ing

prob

lem

s O

ptic

al g

ates

O

EIC

: Tra

nsm

itter

S-9

S

LO

-1

Het

eroj

unct

ions

Pl

asm

a D

ispl

ays

Cha

rge

Cou

pled

Dev

ices

(CC

D)

Phot

onic

Sw

itche

s O

EIC

: Rec

eive

r

SL

O-2

H

eter

ojun

ctio

ns

LCD

, Num

eric

Dis

play

s C

harg

e C

oupl

ed D

evic

es (C

CD

) So

lvin

g pr

oble

ms

OEI

C p

hase

d ar

ray

ante

nna

driv

er

Lea

rnin

g

Res

ou

rces

1.

Kas

ap,

“Opt

oele

ctro

nics

& P

hoto

nics

: P

rinci

ples

& P

ract

ices

”, 2

nd e

ditio

n, P

ears

on E

duca

tion,

20

13.

2.

Pal

lab

Bha

ttach

arya

“S

emic

ondu

ctor

Opt

oele

ctro

nic

Dev

ices

”, 2

nd E

ditio

n, P

rent

ice

Hal

l of

Ind

ia

Pvt

. Ltd

, New

Del

hi, 2

009.

3.

B

. E. A

. Sal

eh a

nd m

.c. T

eich

, “F

unda

men

tals

Of P

hoto

nics

,” 2

nd e

ditio

n, J

ohn

Wile

y &

Son

s, In

c.

2007

.

4. R

ober

t G. H

unsp

erge

r, “

Inte

grat

ed O

ptic

s- T

heor

y A

nd T

echn

olog

y”, S

prin

ger,

200

9 5.

J.

Wils

on a

nd J

F B

Haw

kes

“Opt

oele

ctro

nics

- A

n In

trod

uctio

n”,

3rd

editi

on,

Pea

rson

Edu

catio

n T

aiw

an L

td,

2010

. 6.

A

Gha

tak

and

K T

hyag

araj

an, “

Intr

oduc

tion

to F

iber

Opt

ics”

, Cam

brid

ge U

nive

rsity

Pre

ss 2

006.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 40

%

- 35

%

- 35

%

- 40

%

- U

nder

stan

d

Leve

l 2

App

ly

40%

-

40%

-

35%

-

35%

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 20

%

- 30

%

- 30

%

- 20

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Ms.

Ram

ya A

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

91

Co

urs

e C

od

e 18

EC

E32

3T

Co

urs

e N

ame

Adv

ance

d O

ptic

al C

omm

unic

atio

n C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

N

il C

o-r

equ

isit

e C

ou

rses

18

ECC

302J

P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Intro

duce

the

adva

nced

feat

ures

of F

iber

s an

d lig

ht w

ave

syst

em

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Illus

trate

the

basi

cs o

f lig

ht w

ave

syst

em a

nd m

ultic

hann

el s

yste

m





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Und

erst

and

the

vario

us d

ispe

rsio

n co

mpe

nsat

ion

tech

niqu

es

CL

R-4

:

Gai

n th

e in

form

atio

n on

adv

ance

d R

oF S

yste

ms

CL

R-5

:

Impr

ove

the

know

ledg

e ab

out t

he c

hara

cter

izat

ion

of th

e Vi

sibl

e Li

ght C

omm

unic

atio

n

CL

R-6

:

Util

ize

the

conc

epts

in o

ptic

al c

omm

unic

atio

n fo

r the

und

erst

andi

ng o

f eng

inee

ring

and

tech

nolo

gy

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expl

ain

the

conc

ept o

f wav

e pr

opag

atio

n an

d di

sper

sion

in s

ingl

e-m

ode

fiber

s, lo

ss a

nd n

onlin

ear o

f fib

er a

nd fi

ber d

esig

n an

d fa

bric

atio

n.

2 80

70

H

H

M

H

H

- L

- -

H

- -

H

M

H

CL

O-2

:

Appl

y th

e co

ncep

t of o

ptic

al tr

ansm

itter

and

rece

iver

in s

ingl

e-m

ode

sem

icon

duct

or la

sers

, lig

ht-e

mitt

ing

diod

es, t

rans

mitt

er

desi

gn a

nd re

ceiv

er d

esig

n 2

85

75

H

H

M

H

H

-

L -

- H

-

- H

M

H

CL

O-3

:

Dem

onst

rate

the

conc

ept o

f lon

g-ha

ul s

yste

ms,

com

pute

r-aid

ed d

esig

n, W

DM

ligh

t wav

e sy

stem

s, W

DM

Com

pone

nts,

tim

e-di

visi

on, s

ubca

rrier

and

cod

e di

visi

on m

ultip

lexi

ng

2 75

70

H

H

M

H

H

- L

- -

H

- -

H

M

H

CL

O-4

:

Expl

ain

the

loss

and

dis

pers

ion

man

agem

ents

in E

DFA

- R

aman

am

plifi

ers,

dis

pers

ion

com

pens

atin

g fib

ers

Fibe

r Bra

gg

grat

ings

, dis

pers

ion-

equa

lizin

g fil

ters

and

opt

ical

pha

se c

onju

gatio

n 2

85

80

H

H

M

H

H

-

L -

- H

-

- H

M

H

CL

O-5

:

Appl

y th

e co

ncep

t of a

dvan

ced

light

wav

e sy

stem

in d

emod

ulat

ion

sche

mes

sen

sitiv

ity d

egra

datio

n m

echa

nism

s an

d im

pact

of n

onlin

ear e

ffect

s 2

85

75

H

H

M

H

H

-

L -

- H

-

- H

M

H

CL

O-6

:

Appl

y th

eir i

dea

in O

ptic

al c

omm

unic

atio

n m

odul

e 2

80

70

H

H

M

H

H

-

L -

- H

-

- H

M

H

Du

rati

on

(h

ou

r)

OP

TIC

AL

FIB

ER

S a

nd

LIG

HT

WA

VE

S

YS

TE

MS

LIG

HT

WA

VE

SY

ST

EM

S A

ND

M

UL

TIC

HA

NN

EL

SY

ST

EM

S

LO

SS

MA

NA

GE

ME

NT

AN

D

DIS

PE

RS

ION

MA

NA

GE

ME

NT

R

AD

IO O

VE

R F

IBE

R S

YS

TE

MS

O

PT

ICA

L W

IRE

LE

SS

C

OM

MU

NIC

AT

ION

9 9

9 9

9

S-1

S

LO

-1

Geo

met

rical

-Opt

ics

Des

crip

tion

Syst

em A

rchi

tect

ures

C

ompe

nsat

ion

of F

iber

Los

ses

Tren

ds in

Wire

less

Com

mun

icat

ions

Fr

ee-s

pace

opt

ical

wire

less

com

mun

icat

ion

SL

O-2

W

ave

Prop

agat

ion

Wor

king

Prin

cipl

es

Erbi

um-D

oped

Fib

er A

mpl

ifier

s le

s Ba

sic

Tran

smis

sion

pro

blem

s an

d so

lutio

ns

Free

-spa

ce o

ptic

al O

FDM

com

mun

icat

ion

S-2

S

LO

-1

Dis

pers

ion

in S

ingl

e-M

ode

Fibe

rs

Des

ign

Gui

delin

es

Ram

an A

mpl

ifier

s R

egul

atio

n

Wire

less

opt

ical

CD

MA

com

mun

icat

ion

syst

ems

SL

O-2

D

ispe

rsio

n In

duce

d Li

mita

tions

Lo

ng-H

aul S

yste

ms

Opt

ical

Sig

nal-T

o-N

oise

Rat

io

Stan

dard

izat

ion

Com

paris

on o

f Fre

e-sp

ace

optic

al O

FDM

&

CD

MA

com

mun

icat

ion

S-3

S

LO

-1

Fibe

r Los

ses

Sour

ces

of P

ower

Pen

alty

El

ectri

cal S

igna

l-To-

Noi

se R

atio

Sy

stem

con

cept

s fo

r the

cen

tral p

roce

ssin

g of

sig

nals

In

door

wire

less

opt

ical

com

mun

icat

ion

SL

O-2

N

onlin

ear O

ptic

al E

ffect

s Fo

rwar

d Er

ror C

orre

ctio

n R

ecei

ver S

ensi

tivity

and

Q F

acto

r W

irele

ss T

rend

s ou

tdoo

r wire

less

opt

ical

com

mun

icat

ion

S-4

S

LO

-1

Fibe

r Des

ign

and

Fabr

icat

ion

Type

s of

FEC

ro

le o

f Dis

pers

ive

and

Non

linea

r Effe

cts

Arch

itect

ure

optio

ns,

Het

erog

eneo

us o

ptic

al n

etw

orks

(HO

Ns)

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

92

Lea

rnin

g

Res

ou

rces

1.

Nat

han

J. G

omes

, Pau

lo P

. Mon

teiro

and

Atil

io G

amei

ro "N

ext G

ener

atio

n w

irele

ss c

omm

unic

atio

ns

usin

g R

adio

ove

r Fib

er" J

ohn

Wile

y &

Sons

, Ltd

, 201

2 2.

G

.P. A

garw

al, F

iber

opt

ic c

omm

unic

atio

n sy

stem

s, 4

nd E

d, J

ohn

Wile

y &

Sons

, New

Yor

k, 2

010

3.

Shlo

miA

rnon

, Joh

n R

. Bar

ry, G

eorg

e K.

Kar

agia

nnid

is, R

ober

t Sch

ober

, Mur

at U

ysal

, "Ad

vanc

ed

Opt

ical

Wire

less

Com

mun

icat

ion

Syst

ems"

Cam

brid

ge U

nive

rsity

Pre

ss, 2

012

4.

Shlo

mi A

rnon

, “Vi

sibl

e lig

ht C

omm

unic

atio

n”, C

ambr

idge

Uni

vers

ity P

ress

, 201

5

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. C

.T. M

anim

egal

ai, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

SL

O-2

m

ultic

ore

fibe

rs

Com

pute

r-Aid

ed D

esig

n Pe

riodi

cally

Am

plifi

ed L

ight

wav

e Sy

stem

s g

loba

l cen

traliz

ed A

rchi

tect

ure

Syst

em P

erfo

rman

ce

S-5

S

LO-1

m

ultic

lad

fiber

s ad

vant

ages

and

its

appl

icat

ions

W

DM

D

WD

M

Dis

pers

ion

Prob

lem

Its

Sol

utio

n FU

TON

sce

nario

s O

ptic

al In

frast

ruct

ure

VLC

Sys

tem

Mod

el

Adva

ntag

es a

nd it

s ap

plic

atio

ns

SLO

-2

S-6

S

LO

-1

Adva

nced

Mod

ulat

ion

Form

ats

Ligh

t wav

e Sy

stem

s D

ispe

rsio

n-C

ompe

nsat

ing

Fibe

rs

Con

cept

s of

Rad

io o

ver F

iber

sys

tem

s (R

F) s

enso

r net

wor

k sy

stem

SL

O-2

D

emod

ulat

ion

Sche

mes

W

DM

Com

pone

nts

Fibe

r Bra

gg G

ratin

gs

Feat

ures

of R

OF

Adva

ntag

es a

nd it

s ap

plic

atio

ns

S-7

S

LO

-1

Shot

Noi

se

Syst

em P

erfo

rman

ce Is

sues

D

ispe

rsio

n Eq

ualiz

ing

Filte

rs

Cat

egor

ies

RoF

sys

tem

s (F

SO) s

enso

r net

wor

k sy

stem

SL

O-2

Bi

t-Erro

r Rat

e

Tim

e-D

ivis

ion

Mul

tiple

xing

O

ptic

al P

hase

Con

juga

tion

Perfo

rman

ces

RoF

sys

tem

s A

dvan

tage

s an

d its

app

licat

ions

S-8

S

LO

-1

Sens

itivi

ty D

egra

datio

n M

echa

nism

s

Subc

arrie

r Mul

tiple

xing

C

hann

els

at H

igh

Bit R

ates

Ap

plic

atio

ns o

f RoF

Tec

hnol

ogy

Rec

ent A

dvan

cem

ent i

n O

ptic

al W

irele

ss

Com

mun

icat

ion

SL

O-2

Im

pact

of N

onlin

ear E

ffect

s

Cod

e-D

ivis

ion

Mul

tiple

xing

El

ectro

nic

Dis

pers

ion

Com

pens

atio

n Ad

vant

ages

of R

oF T

echn

olog

y Ad

vant

ages

and

its

appl

icat

ions

S-9

S

LO

-1

Rec

ent P

rogr

ess

So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s

SL

O-2

U

ltim

ate

Cha

nnel

Cap

acity

So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

93

Co

urs

e C

od

e 18

EC

E24

0T

Co

urs

e N

ame

WA

VE

LET

S A

ND

SIG

NA

L P

RO

CE

SS

ING

C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18EC

C10

4T

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

18

ECE3

41T

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Sum

mar

ize

abou

t m

ulti

reso

lutio

n an

alys

is a

nd w

avel

et s

igna

l pro

cess

ing

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Iden

tify

the

fam

ilies

of w

avel

ets

requ

ired

to a

pply

the

trans

form

atio

n to

var

ious

real

tim

e ap

plic

atio

ns





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Dis

cuss

abo

ut d

iscr

ete

syst

ems

that

em

ploy

s w

avel

et tr

ansf

orm

atio

n

CL

R-4

:

Out

line

var

ious

filt

er b

anks

of d

iscr

ete

syst

ems

used

in w

avel

et tr

ansf

orm

atio

n

CL

R-5

:

Anal

yze

var

ious

real

tim

e ap

plic

atio

ns th

at e

mpl

oys

filte

r ban

ks

CL

R-6

:

Acqu

ire k

now

ledg

e ab

out w

avel

et tr

ansf

orm

s, ty

pes

and

appl

icat

ions

of m

ultir

esol

utio

n an

alys

is

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Dis

cuss

abo

ut m

ulti

reso

lutio

n an

alys

is fo

r dis

cret

e si

gnal

s 2

80

75

H

H

-

- -

- -

- -

- -

- H

-

- C

LO

-2 :

Su

mm

ariz

e th

e fa

milie

s of

wav

elet

s 1,

2 80

70

H

- M

-

- -

- -

- -

- -

H

- M

C

LO

-3 :

Id

entif

y D

iscr

ete

wav

elet

tran

sfor

m

2 75

70

M

M

M

- -

- -

- -

- -

- M

-

- C

LO

-4 :

An

alyz

e an

d de

sign

filte

r ban

ks

3 80

75

H

- M

-

- -

- -

- -

- -

H

- -

CL

O-5

:

Util

ize

wav

elet

tran

sfor

mat

ions

on

vario

us a

pplic

atio

ns

3 80

70

H

- M

L

- -

- -

- -

- -

H

M

H

CL

O-6

:

Prov

ide

an o

utlin

e a

bout

wav

elet

tran

sfor

ms,

type

s an

d ap

plic

atio

ns o

f mul

tires

olut

ion

anal

ysis

2

80

70

M

H

-

- -

- -

- -

- -

- M

-

-

M

ult

ires

olu

tio

n A

nal

ysis

(M

RA

) F

amili

es o

f w

avel

ets

Dis

cret

e W

avel

et T

ran

sfo

rm (

DW

T)

Filt

er b

anks

A

pp

licat

ion

s

Dur

atio

n (h

our)

9

9 9

9 9

S-1

S

LO-1

In

trodu

ctio

n to

mul

tires

olut

ion/

mul

tisca

le

anal

ysis

O

rthog

onal

D

iscr

etiz

atio

n in

ste

ps

Intro

duct

ion

to V

aria

nts

of th

e w

avel

et

trans

form

Tr

ansi

ent a

naly

sis

SLO

-2

Intro

duct

ion

to m

ultir

esol

utio

n/ m

ultis

cale

an

alys

is

Orth

ogon

al

Dis

cret

izat

ion

in s

teps

In

trodu

ctio

n to

Var

iant

s of

the

wav

elet

tra

nsfo

rm

Tran

sien

t ana

lysi

s

S-2

S

LO-1

Ti

me-

frequ

ency

ana

lysi

s an

d w

avel

ets

Bior

thog

onal

wav

elet

s D

iscr

etiz

atio

n of

sca

le

Impl

emen

tatio

nal s

truct

ures

Si

ngul

arity

det

ectio

n

SLO

-2

Tim

e-fre

quen

cy a

naly

sis

and

wav

elet

s Bi

orth

ogon

al w

avel

ets

Dis

cret

izat

ion

of s

cale

Im

plem

enta

tiona

l stru

ctur

es

Sing

ular

ity d

etec

tion

S-3

S

LO-1

Pi

ecew

ise

cons

tant

app

roxi

mat

ion

Dau

bech

ies'

fam

ily o

f wav

elet

s G

ener

aliz

ed fi

lter b

ank

The

wav

epac

ket t

rans

form

Bi

omed

ical

sig

nal p

roce

ssin

g ap

plic

atio

ns

SLO

-2

Piec

ewis

e co

nsta

nt a

ppro

xim

atio

n D

aube

chie

s' fa

mily

of w

avel

ets

Gen

eral

ized

filte

r ban

k Th

e w

avep

acke

t tra

nsfo

rm

Biom

edic

al s

igna

l pro

cess

ing

appl

icat

ions

S-4

S

LO-1

H

aar w

avel

et

Dau

bech

ies'

fam

ily o

f wav

elet

s D

iscr

etiz

atio

n of

tran

slat

ion

C

ompu

tatio

nal e

ffici

ency

in re

aliz

ing

filte

r ba

nks

Ef

ficie

nt s

igna

l des

ign

and

real

izat

ion

SLO

-2

Haa

r wav

elet

C

onju

gate

Qua

drat

ure

Filte

r Ban

ks (C

QF)

an

d th

eir d

esig

n D

iscr

etiz

atio

n of

tran

slat

ion

C

ompu

tatio

nal e

ffici

ency

in re

aliz

ing

filte

r ba

nks

Ef

ficie

nt s

igna

l des

ign

and

real

izat

ion

S-5

S

LO-1

Bu

ildin

g up

the

conc

ept o

f dya

dic

Mul

tires

olut

ion

Anal

ysis

(MR

A)

Con

juga

te Q

uadr

atur

e Fi

lter B

anks

(CQ

F)

and

thei

r des

ign

Gen

eral

ized

out

put s

ampl

ing

Com

puta

tiona

l effi

cien

cy in

real

izin

g fil

ter

bank

s W

avel

et b

ased

mod

ulat

ion

and

dem

odul

atio

n

SLO

-2

Build

ing

up th

e co

ncep

t of d

yadi

c M

ultir

esol

utio

n An

alys

is (M

RA)

C

onju

gate

Qua

drat

ure

Filte

r Ban

ks (C

QF)

an

d th

eir d

esig

n G

ener

aliz

ed o

utpu

t sam

plin

g Po

lyph

ase

com

pone

nts

Wav

elet

bas

ed m

odul

atio

n an

d de

mod

ulat

ion

S-6

S

LO-1

R

elat

ing

dyad

ic M

RA

to fi

lter b

anks

D

ata

com

pres

sion

D

iscr

etiz

atio

n of

tim

e/ s

pace

(ind

epen

dent

va

riabl

e)

Poly

phas

e co

mpo

nent

s Ap

plic

atio

ns in

mat

hem

atic

al

appr

oxim

atio

n

SLO

-2

Rel

atin

g dy

adic

MR

A to

filte

r ban

ks

Dat

a co

mpr

essi

on

Dis

cret

izat

ion

of ti

me/

spa

ce (i

ndep

ende

nt

varia

ble)

Po

lyph

ase

com

pone

nts

Appl

icat

ions

in m

athe

mat

ical

ap

prox

imat

ion

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

94

S-7

S

LO-1

A

revi

ew o

f dis

cret

e si

gnal

pro

cess

ing

Fing

erpr

int c

ompr

essi

on s

tand

ards

G

oing

from

pie

cew

ise

linea

r to

piec

ewis

e po

lyno

mia

l Th

e la

ttice

stru

ctur

e Ap

plic

atio

ns to

the

solu

tion

of s

ome

diffe

rent

ial e

quat

ions

.

SLO

-2

A re

view

of d

iscr

ete

sign

al p

roce

ssin

g Fi

nger

prin

t com

pres

sion

sta

ndar

ds

Goi

ng fr

om p

iece

wis

e lin

ear t

o pi

ecew

ise

poly

nom

ial

The

latti

ce s

truct

ure

Appl

icat

ions

to th

e so

lutio

n of

som

e di

ffere

ntia

l equ

atio

ns.

S-8

S

LO-1

El

emen

ts o

f mul

tirat

e sy

stem

s

JPEG

-200

0 st

anda

rds

The

clas

s of

spl

ine

wav

elet

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s

SLO

-2

Elem

ents

of m

ultir

ate

syst

ems

JP

EG-2

000

stan

dard

s

The

clas

s of

spl

ine

wav

elet

s So

lvin

g Pr

oble

ms

Solv

ing

Prob

lem

s

S-9

S

LO-1

Tw

o-ba

nd fi

lter b

ank

desi

gn fo

r dya

dic

wav

elet

s.

Solv

ing

prob

lem

s A

case

for i

nfin

ite im

puls

e re

spon

se (I

IR)

filte

r ban

ks

The

liftin

g sc

hem

e.

Solv

ing

Prob

lem

s

SLO

-2

Two-

band

filte

r ban

k de

sign

for d

yadi

c w

avel

ets.

So

lvin

g pr

oble

ms

A ca

se fo

r inf

inite

impu

lse

resp

onse

(IIR

) fil

ter b

anks

Th

e lif

ting

sche

me.

So

lvin

g Pr

oble

ms

Lea

rnin

g

Res

ou

rces

1.

M. V

ette

rli, J

. Kov

acev

ic, W

avel

ets

and

Subb

and

Cod

ing,

Pre

ntic

e H

all,

1995

2.

S.

Mal

lat,

A W

avel

et T

our o

f Sig

nal P

roce

ssin

g, 2

nd e

d., A

cade

mic

Pre

ss, 1

999

3.

P.P.

Vai

dyan

atha

n, M

ultir

ate

Syst

ems

and

Filte

r Ban

ks, P

ears

on E

duca

tion,

199

3 4.

C

.S.B

urru

s, R

ames

h A.

Gop

inat

h, a

nd H

aita

o G

uo, I

ntro

duct

ion

to W

avel

ets

and

Wav

elet

Tr

ansf

orm

s: A

Prim

er, P

rent

ice

Hal

l, 19

97

5.

Gilb

ert S

trang

, Tru

ong

Ngu

yen,

Wav

elet

s an

d Fi

lter B

anks

, 2nd

ed.

, Wel

lesl

ey-C

ambr

idge

Pre

ss,1

998.

6.

In

grid

Dau

bech

ies,

Ten

Lec

ture

s on

Wav

elet

s, S

IAM

, 199

2 7.

H

owar

d L.

Res

niko

ff, R

aym

ond

O. W

ells

, “W

avel

et A

naly

sis:

The

Sca

labl

e St

ruct

ure

of In

form

atio

n”,

Sprin

ger,

1998

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. Sa

bith

a G

auni

, SR

M IS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

95

Co

urs

e C

od

e 18

EC

E24

1J

Co

urs

e N

ame

SIG

NA

L P

RO

CE

SS

ING

FO

R A

UD

ITO

RY

SY

ST

EM

S

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18E

CC

104T

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

E343

T

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Dem

onst

rate

the

basi

cs o

f sig

nal p

roce

ssin

g

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Dem

onst

rate

the

Fea

ture

Ext

ract

ion

tech

niqu

e us

ed in

Spe

ech

Proc

essi

ng





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Iden

tify

Freq

uenc

y ch

arac

teris

tics

of S

peec

h si

gnal

CL

R-4

:

Con

stru

ct th

e D

igita

l mod

el o

f spe

ech

sign

al

CL

R-5

:

Iden

tify

the

Ethi

cal i

ssue

s of

ele

men

ts o

f mus

ic

CL

R-6

:

Dev

elop

the

basi

c of

spe

ech

sign

al p

roce

ssin

g an

d its

mod

el

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Des

crib

e th

e fu

nctio

ning

of t

he h

uman

voc

al a

nd a

udito

ry s

yste

ms

1,

2 80

75

M

- H

-

H

- -

- -

- -

- M

-

H

CL

O-2

:

Illus

trate

the

func

tion

of fe

atur

e ex

tract

ion

in s

peec

h an

d au

dio

sign

al p

roce

ssin

g us

ing

Tim

e D

omai

n C

hara

cter

istic

s 2

85

75

H

-

H

- -

- -

- -

- -

- M

-

H

CL

O-3

:

Expl

ore

the

frequ

ency

cha

ract

eris

tics

of s

peec

h si

gnal

3

80

70

H

-

H

H

- -

- -

- -

- -

M

- H

C

LO

-4 :

Ap

ply

appr

opria

te D

igita

l mod

els

for s

peec

h si

gnal

3

80

75

H

-

- -

H

- -

- -

- -

- H

M

M

C

LO

-5 :

An

alyz

e th

e el

emen

ts o

f mus

ic

2 80

70

- -

- M

-

- -

- -

- -

- M

-

H

CL

O-6

:

Prov

ide

an o

utlin

e a

bout

spe

ech

sign

al p

roce

ssin

g an

d it

s m

odel

2

80

70

H

-

H

- H

-

- -

- -

- -

M

- M

B

asic

Au

dio

Pro

cess

ing

usi

ng

MA

TL

AB

S

pee

ch S

ign

al A

nal

ysis

in T

ime

Do

mai

n

Sp

eech

Sig

nal

An

alys

is

in F

req

uen

cy D

om

ain

D

igit

al M

od

els

for

Sp

eech

Sig

nal

T

ime

Ele

men

ts in

Mu

sic

Dur

atio

n (h

our)

12

12

12

12

12

S-1

S

LO-1

In

trodu

ctio

n to

Dig

ital a

udio

Sp

eech

sig

nal a

naly

sis

Sh

ort T

ime

Four

ier a

naly

sis

Intro

duct

ion

to A

cous

tic P

hone

tics

Soun

d vi

brat

ions

– p

ure

tone

s an

d pe

rcep

tion

of p

itch

SLO

-2

Cap

turin

g an

d co

nver

ting

soun

d Se

gmen

tal a

naly

sis

Filte

r ban

k an

alys

is

Intro

duct

ion

to A

cous

tic P

hone

tics

Soun

d vi

brat

ions

– p

ure

tone

s an

d pe

rcep

tion

of p

itch

S-2

S

LO-1

Sa

mpl

ing

of s

ound

wav

e Su

b-se

gmen

tal

Form

ant e

xtra

ctio

n

Acou

stic

theo

ry o

f spe

ech

prod

uctio

n:-

Soun

d pr

opag

atio

n Au

dito

ry c

odin

g in

the

nerv

ous

syst

em

SLO

-2

Han

dlin

g au

dio

in M

ATLA

B Su

pra

segm

enta

l lev

els

Pitc

h Ex

tract

ion

Ac

oust

ic th

eory

of s

peec

h pr

oduc

tion:

-So

und

prop

agat

ion

Audi

tory

cod

ing

in th

e ne

rvou

s sy

stem

S

3-4

SLO

-1

Lab

1: R

ead

& w

rite

a sp

eech

sig

nal,

Rec

ord

a sp

eech

sig

nal,

play

back

, con

vert

into

a w

ave

file,

plo

t the

spe

ech

sign

al, a

nd

spec

trogr

am p

lot.

Lab

4: S

hort-

term

ene

rgy

of a

spe

ech

sign

al

Lab

7: E

stim

atio

n of

pitc

h pe

riod

usin

g si

mpl

ified

inve

rse

filte

r tra

ckin

g (S

IFT)

al

gorit

hm

Lab

10: P

hone

me-

leve

l seg

men

tatio

n of

sp

eech

La

b 13

:Fea

ture

Ext

ract

ion

of

spee

ch

sign

al

SLO

-2

S-5

S

LO-1

N

orm

aliz

atio

n

Tim

e do

mai

n pa

ram

eter

s of

spe

ech

sign

al

Hom

omor

phic

spe

ech

anal

ysis

Vo

cal t

ract

tran

sfer

func

tion

of v

owel

s Su

bjec

tive

pitc

h an

d ro

le o

f ner

vous

sy

stem

SLO

-2

Audi

o pr

oces

sing

Ti

me

dom

ain

para

met

ers

of s

peec

h si

gnal

H

omom

orph

ic s

peec

h an

alys

is

Voca

l tra

ct tr

ansf

er fu

nctio

n of

vow

els

Subj

ectiv

e pi

tch

and

role

of n

ervo

us

syst

em

S-6

S

LO-1

Se

gmen

tatio

n M

etho

ds fo

r ext

ract

ing

the

para

met

ers

Ener

gy

Form

ant a

nd P

itch

Estim

atio

n Ef

fect

of n

asal

cou

plin

g Ac

oust

ical

ene

rgy

–per

cept

ion

of lo

udne

ss,

pitc

h, ti

mbr

e

SLO

-2

Anal

ysis

of w

indo

w s

izin

g M

etho

ds fo

r ext

ract

ing

the

para

met

ers

Aver

age

Mag

nitu

de

Form

ant a

nd P

itch

Estim

atio

n Ex

cita

tion

of s

ound

in v

ocal

trac

t Pi

tch

cont

our M

usic

al S

truct

ure

S

7-8

SLO

-1

Lab

2: C

onve

rt in

to a

wav

e fil

e, p

lot t

he

spee

ch s

igna

l, an

d sp

ectro

gram

plo

t La

b 5:

Sho

rt-tim

e Fo

urie

r tra

nsfo

rm

mag

nitu

de s

pect

rum

La

b 8:

Est

imat

ion

of p

itch

perio

d us

ing

harm

onic

pro

duct

spe

ctru

m

Lab

11: E

stim

atio

n of

sou

nd in

voc

al tr

act

Lab

14: S

peec

h pr

oduc

tion

mec

hani

sm

SLO

-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

96

S-9

S

LO-1

Vi

sual

izat

ion

Zero

cro

ssin

g R

ate

Li

near

Pre

dict

ive

anal

ysis

of s

peec

h Vo

cal t

ract

tran

sfer

func

tion

of v

owel

s D

etec

ting

beat

s, rh

ythm

, met

er

SLO

-2

Soun

d ge

nera

tion

Zero

cro

ssin

g R

ate

Line

ar P

redi

ctiv

e an

alys

is o

f spe

ech

Voca

l tra

ct tr

ansf

er fu

nctio

n of

vow

els

Rec

ogni

zing

pitc

h –

mel

ody

S-1

0 S

LO-1

Sp

eech

pro

duct

ion

mec

hani

sm

Sile

nce

Dis

crim

inat

ion

usin

g ZC

R a

nd

ener

gy

Auto

corre

latio

n m

etho

d, C

ovar

ianc

e m

etho

d Ef

fect

of n

asal

cou

plin

g Au

dito

ry s

tream

ing

SLO

-2

Spee

ch p

rodu

ctio

n m

echa

nism

Si

lenc

e D

iscr

imin

atio

n us

ing

ZCR

and

en

ergy

So

lutio

n of

LPC

equ

atio

ns

Exci

tatio

n of

sou

nd in

voc

al tr

act

Tona

lity

and

cont

ext –

alg

orith

ms

S

11-1

2

SLO

-1

Lab

3: C

epst

rum

sm

ooth

ed m

agni

tude

sp

ectru

m

Lab

6: (i

)Lin

ear p

redi

ctio

n m

agni

tude

sp

ectru

m

(ii) E

stim

atio

n of

form

ant f

requ

enci

es u

sing

lin

ear p

redi

ctio

n

Lab

9: P

itch

and

dura

tion

mod

ifica

tion

usin

g tim

e-do

mai

n pi

tch

sync

hron

ous

over

lap

and

add

(TD

-PSO

LA) m

etho

d

Lab

12: S

ound

vib

ratio

ns

Lab

15:S

tudy

of F

eatu

re e

xtra

ctio

n an

d SV

M c

lass

ifier

S

LO-2

Lea

rnin

g

Res

ou

rces

1.

Ian

McL

augh

lin, A

pplie

d Sp

eech

and

Aud

io p

roce

ssin

g, w

ith M

ATLA

B ex

ampl

es, 1

sted

., C

ambr

idge

Uni

vers

ity

Pres

s, 2

009

2.

Ben

Gol

d, N

elso

n M

orga

n, D

an E

llis, W

iley,

Spe

ech

and

Audi

o Si

gnal

Pro

cess

ing:

Pro

cess

ing

and

Perc

eptio

n of

Spe

ech

and

Mus

ic, 2

nd e

d., J

ohn

Wile

y &

Sons

, 201

1

3.

Law

renc

e R

abin

er,B

.H.J

uang

, Fun

dam

enta

ls o

f Spe

ech

Rec

ogni

tion,

2nd

ed.

, Pre

ntic

e-ha

ll,

1993

4.

Ke

n Po

hlm

ann,

Prin

cipl

es o

f Dig

ital A

udio

, 6th e

d., M

cGra

w-H

ill, 2

007

5.

A.R

.Jay

an, S

peec

h an

d Au

dio

Sign

al P

roce

ssin

g, P

HI L

earn

ing

Pvt.

Ltd,

2016

L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. M

rs. K

. Har

iSud

ha, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

97

Co

urs

e C

od

e 18

EC

E24

2J

Co

urs

e N

ame

PA

TT

ER

N R

EC

OG

NIT

ION

AN

D N

EU

RA

L N

ET

WO

RK

S

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

18

ECE3

40T

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Lear

n th

e co

ncep

ts o

f pat

tern

reco

gniti

on

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Anal

yze

few

par

amet

er e

stim

atio

n m

etho

ds fo

r pat

tern

reco

gniti

on





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Acqu

ire k

now

ledg

e on

the

fund

amen

tal n

eura

l net

wor

ks

CL

R-4

:

Appl

y th

e ne

ural

net

wor

k re

curre

nce

for p

atte

rn re

cogn

ition

stu

dies

CL

R-5

:

Util

ize

the

prac

tical

app

licat

ions

of n

eura

l net

wor

ks in

pat

tern

reco

gniti

on

CL

R-6

:

Und

erst

and

the

patte

rn a

nd a

pply

neu

ral n

etw

ork

base

d le

arni

ng a

lgor

ithm

to a

naly

ze th

e da

ta fr

om re

al w

orld

ap

plic

atio

ns

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Dem

onst

rate

the

fund

amen

tals

of r

ecog

nitio

n of

pat

tern

s, re

gula

ritie

s in

dat

a an

d cl

assi

fiers

1

80

70

L

L -

- -

- -

- -

- -

- -

- -

CL

O-2

:

Rev

iew

the

erro

r est

imat

ion,

suc

h as

def

initi

ons,

test

-set

erro

r est

imat

ion

and

trai

ning

-set

erro

r est

imat

ion

1 80

70

- -

- M

-

- -

- -

- -

- -

- H

C

LO

-3 :

D

iscu

ss th

e ne

uron

mod

el a

nd fu

ndam

enta

ls o

n le

arni

ng a

lgor

ithm

s 2

75

70

-

- -

M

- -

- -

- -

- -

- -

- C

LO

-4 :

R

ealiz

e th

e er

ror m

odel

and

cal

cula

te th

e de

viat

ion

with

bac

k pr

opag

atio

n ne

twor

ks

2 80

70

- -

M

- -

- -

- -

- -

- M

-

H

CL

O-5

:

Rev

iew

the

appl

icat

ions

of n

eura

l net

wor

ks in

the

area

of p

atte

rn re

cogn

ition

2

80

70

-

- M

-

- -

- -

- -

- -

- -

H

CL

O-6

:

Anal

yze

a v

arie

ty o

f pat

tern

cla

ssifi

catio

n te

chni

ques

to re

al-w

orld

pro

blem

s su

ch a

s do

cum

ent a

naly

sis

and

reco

gniti

on.

2 80

70

- -

M

- M

-

- -

- -

- -

L -

-

In

tro

du

ctio

n T

o P

atte

rn R

eco

gn

itio

n

Par

amet

er E

stim

atio

n M

eth

od

s In

tro

du

ctio

n t

o N

eura

l Net

wo

rks

AN

N f

or

Cla

ssif

icat

ion

an

d R

egre

ssio

n

AN

N f

or

Org

aniz

atio

n a

nd

Rec

og

nit

ion

Dur

atio

n (h

our)

12

12

12

12

12

S-1

S

LO-1

In

trodu

ctio

n to

Sta

tistic

al P

atte

rn

Rec

ogni

tion

Intro

duct

ion

to p

aram

eter

est

imat

ion

In

trodu

ctio

n to

neu

ral

netw

orks

In

trodu

ctio

n to

Hop

field

net

wor

ks

Self-

orga

nizi

ng m

ap

SLO

-2

Ove

rvie

w o

f Pat

tern

Cla

ssifi

ers

Max

imum

-Lik

elih

ood

estim

atio

n

Neu

ron

mod

el

Hop

-fiel

d ne

twor

k- a

rchi

tect

ure

SOM

alg

orith

m

S-2

S

LO-1

Pr

oces

s o

f Cla

ssifi

er D

esig

n, D

ecis

ion

mak

ing

theo

ry

Max

imum

a P

oste

riori

estim

atio

n Le

arni

ng m

etho

ds o

f AN

N, S

uper

vise

d,

Uns

uper

vise

d an

d re

info

rced

R

ecur

rent

net

wor

ks

Lear

ning

vec

tor q

uant

izat

ion

SLO

-2

Baye

sian

dec

isio

n m

akin

g Ba

yesi

an e

stim

atio

n Ba

sic

lear

ning

rul

es o

f AN

N-

Sam

ple

recu

rrent

net

wor

k st

ruct

ure

Ko

hone

n se

lf-or

gani

zing

map

S

3-4

SLO

-1

Lab1

: Dig

itiza

tion

of a

nalo

g si

gnal

s La

b4: P

rogr

ams

on E

stim

atio

n La

b 7:

Log

ic g

ate

func

tion

desc

riptio

n w

ith

Heb

b ru

le

Lab

10: P

rogr

ams

on tr

aini

ng a

Hop

field

ne

twor

k La

b 13

: pro

gram

s on

orth

ogon

ality

and

ev

alua

ting

inpu

t and

out

put f

or a

ssoc

iatio

n S

LO-2

S-5

S

LO-1

Ba

yes

Cla

ssifi

er

Uns

uper

vise

d le

arni

ng a

nd c

lust

erin

g M

cCul

loh

pitt

neur

on

Asso

ciat

ive

mem

orie

s- In

trodu

ctio

n:

Feat

ure

sele

ctio

n

SLO

-2

Baye

s C

lass

ifier

for m

inim

izin

g R

isk

Clu

ster

ing

vs. C

lass

ifica

tion-

Supe

rvis

ed v

s.

unsu

perv

ised

Pr

oble

ms

on M

cCul

loh

pitt

Au

to a

nd h

eter

o as

soci

ativ

e m

emor

y

Feat

ure

map

cla

ssifi

er, a

pplic

atio

ns

S-6

S

LO-1

Es

timat

ing

Baye

s Er

ror

Crit

erio

n fu

nctio

ns fo

r clu

ster

ing

Algo

rithm

s fo

r clu

ster

ing

Heb

b le

arni

ng ru

le

Bi d

irect

iona

l mem

orie

s Ar

chite

ctur

e of

Ada

ptiv

e R

eson

ance

Th

eory

SLO

-2

Effe

ct o

f sam

ple

size

in e

stim

atio

n K-

Mea

ns c

lust

erin

g Pr

oble

ms

on H

ebb

lear

ning

rule

XO

R p

robl

em

ATR

1 al

gorit

hm

S

7-8

SLO

-1

Lab

2: P

rogr

am to

cou

nt th

e w

hite

pix

els

from

the

imag

e La

b 5:

Loa

ding

a d

ata

set a

nd s

elec

ting

pred

ictiv

e fe

atur

es

Lab

8: E

valu

atin

g fu

nctio

n w

ith d

iffer

ent

lear

ning

rule

s La

b 11

: Pro

gram

s on

Aut

o an

d he

tero

as

soci

atio

n of

mem

ory

Lab

14: C

hara

cter

Rec

ogni

tion

SLO

-2

S-9

S

LO-1

M

inim

ax C

lass

ifier

s H

iera

rchi

cal m

etho

ds o

f clu

ster

ing

Sing

le la

yer p

erce

ptro

n ar

chite

ctur

e Tr

aini

ng a

lgor

ithm

Ba

ck-p

ropa

gatio

n Al

gorit

hm

ART2

alg

orith

m -

Trai

ning

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

98

SLO

-2

Ney

man

n C

lass

ifier

s C

ompa

rison

of m

etho

ds, c

lust

er d

ista

nce

and

valid

atio

n M

ultil

ayer

per

cept

ron

C

ount

er p

ropa

gatio

n ne

twor

ks-

arch

itect

ure

AR

T2- n

etw

ork

arch

itect

ure

S-1

0 S

LO-1

Pe

arso

n C

lass

ifier

s Se

quen

tial P

atte

rn R

ecog

nitio

n Ad

alin

e ar

chite

ctur

e Si

mul

ated

ann

ealin

g H

and

writ

ten

digi

t rec

ogni

tion

SLO

-2

Appl

icat

ions

Se

quen

tial P

atte

rn R

ecog

nitio

n M

adal

ine

arch

itect

ure

Boltz

man

n m

achi

ne

Cha

ract

er re

cogn

ition

net

wor

ks

S

11-1

2 S

LO-1

La

b3: A

naly

sis

of a

dat

a se

t with

cla

ssifi

ers

Lab

6: P

rogr

ams

on c

lust

erin

g te

chni

que

Lab

9 : X

OR

pro

blem

with

Per

cept

ron

netw

ork

Lab

12: E

valu

atio

n of

erro

r in

BPN

La

b 15

: Min

i Pro

ject

S

LO-2

Lea

rnin

g

Res

ou

rces

1.

Chr

isto

pher

M. B

isho

p, P

atte

rn R

ecog

nitio

n an

d M

achi

ne L

earn

ing,

Spr

inge

r Ver

lag,

201

6 2.

D

ioni

sis

Cav

oura

s ,

S.T

heod

orid

is ,

K. K

outro

umba

s , A

. Pik

raki

s , A

n In

trodu

ctio

n to

Pat

tern

C

lass

ifica

tion:

A M

atla

b Ap

proa

ch, E

lsev

ier S

cien

ce P

ublis

hing

Co

Inc,

201

0 3.

M

artin

T.H

agan

, Neu

ral n

etw

ork

desi

gn, C

enga

ge p

ublic

atio

ns, 2

010

4.

Sim

on O

. Hay

kin,

Neu

ral N

etw

ork

and

Lear

ning

Mac

hine

s, 3

rd e

d., P

ears

on E

duca

tion,

200

9 5.

Ke

-Lin

Du

,M. N

. S. S

wam

y, N

eura

l Net

wor

ks a

nd S

tatis

tical

Lea

rnin

g, P

ublis

her S

prin

ger,

201

4 6.

Ko

sko

B, N

eura

l Net

wor

ks a

nd F

uzzy

Sys

tem

s: A

dyn

amic

al s

yste

m a

ppro

ach

to m

achi

ne in

tellig

ence

, Pr

entic

e H

all,

2009

L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. A.

Ruh

an B

evi,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

99

Co

urs

e C

od

e 18

EC

E24

3J

Co

urs

e N

ame

Dig

ital I

mag

e an

d V

ideo

Pro

cess

ing

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18E

CC

204J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Intro

duce

the

fund

amen

tals

of i

mag

e pr

oces

sing

and

tran

sfor

ms

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Dis

cuss

the

conc

epts

of i

mag

e en

hanc

emen

t and

rest

orat

ion





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Achievement


Techniques


CL

R-3

:

Acqu

ire k

now

ledg

e on

imag

e co

mpr

essi

on a

nd s

egm

enta

tion

met

hods

CL

R-4

:

Sum

mar

ize

basi

cs o

f vid

eo p

roce

ssin

g

CL

R-5

:

Appl

y m

otio

n es

timat

ion

met

hods

in v

ideo

pro

cess

ing

CL

R-6

:

Util

ize

the

conc

epts

of i

mag

e an

d vi

deo

proc

essi

ng fo

r pra

ctic

al a

pplic

atio

ns

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Dem

onst

rate

the

basi

cs o

f dig

ital i

mag

e pr

oces

sing

fund

amen

tals

and

tran

sfor

ms

1,2

80

70

L

- -

M

- -

- -

- -

- H

M

-

-

CL

O-2

:

Des

ign

2D fi

lters

and

app

ly it

for i

mag

e en

hanc

emen

t and

rest

orat

ion

3 80

70

H

H

- H

H

-

- -

- -

- H

M

-

H

CL

O-3

:

Appl

y im

age

com

pres

sion

and

seg

men

tatio

n m

etho

ds o

n di

gita

l im

ages

3

80

65

M

H

-

H

H

- -

- -

- -

H

- -

H

CL

O-4

:

Def

ine

the

vide

o fo

rmat

ion

tech

niqu

es

2 80

70

H

M

- H

H

-

- -

- -

- H

-

- M

CL

O-5

:

Com

pile

var

ious

mot

ion

tech

niqu

es u

sed

in v

ideo

cod

ing

2 75

65

H

M

- H

H

-

- -

- -

- H

-

- H

CL

O-6

:

Appl

y th

e co

ncep

ts o

f dig

ital i

mag

e, v

ideo

pro

cess

ing

and

thei

r app

licat

ions

2,

3 80

70

M

- -

- -

- -

- -

- -

- M

-

M

Du

rati

on

(h

ou

r)

Dig

ital

Imag

e F

un

dam

enta

ls a

nd

Im

age

Tra

nsf

orm

s Im

age

En

han

cem

ent

and

Res

tora

tio

n

Imag

e C

om

pre

ssio

n a

nd

Seg

men

tati

on

B

asic

Ste

ps

of

Vid

eo P

roce

ssin

g

2D M

oti

on

Est

imat

ion

12

12

12

12

12

S-1

S

LO

-1

Orig

in o

f dig

ital i

mag

e pr

oces

sing

So

me

basi

c in

tens

ity tr

ansf

orm

atio

n fu

nctio

ns –

imag

e ne

gativ

es, l

og

trans

form

atio

ns

Fund

amen

tals

of i

mag

e co

mpr

essi

on-

codi

ng re

dund

ancy

, spa

tial a

nd te

mpo

ral

redu

ndan

cy

Anal

og v

ideo

sig

nals

, sta

ndar

d 2D

mot

ion

estim

atio

n –

Opt

ical

flow

– 2

D

mot

ion

vs. a

ppar

ent m

otio

n

SL

O-2

Fu

ndam

enta

l ste

ps in

dig

ital i

mag

e pr

oces

sing

Pi

ecew

ise

linea

r tra

nsfo

rmat

ion

func

tions

Irr

elev

ant i

nfor

mat

ion,

mea

surin

g im

age

info

rmat

ion

Dig

ital v

ideo

sig

nal,

stan

dard

, Dig

ital

vide

o pr

oces

sing

C

orre

spon

denc

e an

d op

tical

flow

S-2

S

LO

-1

Com

pone

nts

of a

n im

age

proc

essi

ng

syst

em

His

togr

am e

qual

izat

ion,

Mat

chin

g Im

age

com

pres

sion

mod

el, L

ossl

ess

com

pres

sion

, Huf

fman

cod

ing

Tim

e va

ryin

g im

age

form

atio

n m

odel

s –

3D m

otio

n m

odel

s O

cclu

sion

pro

blem

SL

O-2

St

ruct

ure

of h

uman

eye

, Im

age

form

atio

n Lo

cal H

isto

gram

Pro

cess

ing

Arith

met

ic C

odin

g, R

un le

ngth

cod

ing

Rig

id m

otio

n in

Car

tesi

an, H

omog

enou

s co

ordi

nate

s Ap

ertu

re p

robl

em, 2

D m

otio

n fie

ld m

odel

s

S-

3-4

SL

O-1

L

ab 1

: T

o le

arn

MA

TL

AB

so

ftw

are

and

it

s b

asic

co

mm

and

s fo

r im

age

pro

cess

ing

L

ab 4

: H

isto

gra

m M

od

ific

atio

ns

Lab

7:

Ru

n le

ng

th c

od

ing

L

ab 1

0: W

avel

et c

od

ing

L

ab 1

3: C

on

vert

vid

eo in

to f

ram

es a

nd

p

roce

ss t

hem

S

LO

-2

S-5

SL

O-1

Br

ight

ness

ada

ptat

ion

and

disc

rimin

atio

n U

sing

his

togr

am s

tatis

tics

for i

mag

e en

hanc

emen

t Lo

ssy

com

pres

sion

- Tr

ansf

orm

cod

ing

Def

orm

able

mot

ion

Bloc

k m

otio

n m

odel

s- tr

ansl

atio

nal b

lock

m

otio

n

SL

O-2

Ba

sic

conc

epts

in s

ampl

ing

and

Qua

ntiz

atio

n , R

epre

sent

ing

digi

tal

imag

es

Smoo

thin

g lin

ear f

ilter

s W

avel

et c

odin

g G

eom

etric

imag

e fo

rmat

ion

Gen

eral

ized

/ Def

orm

able

blo

ck m

otio

n

S-6

S

LO

-1

Nei

ghbo

rs o

f a p

ixel

, Adj

acen

cy,

Ord

er s

tatis

tics

nonl

inea

r filt

ers

Imag

e se

gmen

tatio

n –

dete

ctio

n of

Pe

rspe

ctiv

e pr

ojec

tion

Bloc

k m

atch

ing

crite

ria, M

atch

ing

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

0

Con

nect

ivity

, Reg

ions

and

Bou

ndar

ies

isol

ated

poi

nts,

line

det

ectio

n pr

oced

ures

SL

O-2

D

ista

nce

Mea

sure

s, A

sim

ple

imag

e fo

rmat

ion

mod

el

Shar

peni

ng s

patia

l filt

ers

Edge

mod

els,

Bas

ic e

dge

dete

ctio

n Ph

otom

etric

imag

e fo

rmat

ion

Hie

rarc

hica

l mot

ion

estim

atio

n

S-

7-8

SL

O-1

L

ab 2

: F

ou

rier

an

alys

is o

f im

age

Lab

5:

Imag

e sm

oo

thin

g a

nd

sh

arp

enin

g

Lab

8:

Bas

ic e

dg

e d

etec

tio

n

op

erat

ion

s L

ab 1

1: J

PE

G C

om

pre

ssio

n

Lab

14:

Filt

erin

g v

ideo

sig

nal

s S

LO

-2

S-9

SL

O-1

Fo

urie

r tra

nsfo

rm o

f sam

pled

func

tions

C

ombi

ned

spat

ial e

nhan

cem

ent m

etho

ds

Reg

ion

base

d se

gmen

tatio

n –

regi

on

grow

ing

Phot

omet

ric e

ffect

s of

3D

mot

ion

Gra

dien

t bas

ed o

ptim

izat

ion

SL

O-2

Sa

mpl

ing

theo

rem

, Alia

sing

, Obt

aini

ng

the

DFT

from

the

Con

tinuo

us T

rans

form

of

a S

ampl

ed F

unct

ion

Hom

omor

phic

filte

ring,

A m

odel

of i

mag

e de

grad

atio

n/ re

stor

atio

n pr

oces

s R

egio

n sp

littin

g an

d m

ergi

ng

Obs

erva

tion

nois

e, S

ampl

ing

stru

ctur

es

of a

nalo

g, d

igita

l vid

eo

Stee

pest

Des

cent

met

hod

S-1

0 S

LO

-1

Prop

ertie

s of

2D

DFT

– R

elat

ions

hip

betw

een

spat

ial a

nd fr

eque

ncy

inte

rval

, Tr

ansl

atio

n an

d R

otat

ion,

Per

iodi

city

, sy

mm

etric

pro

perti

es

A m

odel

of i

mag

e de

grad

atio

n/ re

stor

atio

n pr

oces

s, N

oise

mod

els

Spat

ial,

frequ

ency

dom

ain

tech

niqu

es

2D fo

urie

r tra

nsfo

rm re

latio

ns, I

ntra

fram

e fil

terin

g- L

MM

SE fi

lterin

g N

ewto

n R

aphs

on m

etho

d, T

rans

form

cod

ing

, 3D

wav

efor

m c

odin

g

SL

O-2

D

WT,

DC

T Si

ngul

ar v

alue

dec

ompo

sitio

n Te

xtur

e ba

sed

segm

enta

tion

Med

ian

and

wei

ghte

d m

edia

n fil

terin

g,

Mot

ion

dete

ctio

n ba

sed

filte

ring

Loca

l vs.

Glo

bal m

inim

a, P

redi

ctiv

e co

ding

S-

11 -

12

SL

O-1

L

ab 3

: Im

age

filt

erin

g

Lab

6:

Sin

gu

lar

valu

e d

eco

mp

osi

tio

n

Lab

9:

Rep

eat/

Rev

isio

n o

f ex

per

imen

ts

Lab

12:

Reg

ion

bas

ed im

age

seg

men

tati

on

L

ab 1

5: M

ini p

roje

ct

SL

O-2

Lea

rnin

g

Res

ou

rces

1.

Raf

ael C

Gon

zale

z, R

icha

rd E

Woo

ds, “

Dig

ital I

mag

e Pr

oces

sing

”- 3r

d Ed

ition

, Pea

rson

Edu

catio

n 20

08.

2.

Yao

wan

g, J

oem

Ost

arm

ann

and

Ya –

qui

n Zh

ang,

”Vid

eo p

roce

ssin

g an

d co

mm

unic

atio

n “,1

st e

ditio

n , P

HI

3.

M. T

ekal

p ,”D

igita

l vid

eo P

roce

ssin

g”, P

rent

ice

Hal

l Int

erna

tiona

l

4.

A.K.

Jai

n, “F

unda

men

tals

of D

igita

l Im

age

Proc

essi

ng”.

Pear

son

educ

atio

n 5.

W

illiam

K P

ratt,

“Dig

ital I

mag

e Pr

oces

sing

”, Jo

hn W

illey

(200

1).

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

S. D

hana

laks

hmi,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Mrs

. S. L

atha

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

1

Co

urs

e C

od

e 18

EC

E24

4J

Co

urs

e N

ame

D

SP

Sys

tem

Des

ign

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

18E

CC

204J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

IEEE

164

1-20

10, I

EEE

754,

IEEE

Sta

ndar

d. 1

149.

1

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Acqu

ire k

now

ledg

e on

Flo

atin

g an

d Fi

xed

poin

t Pro

cess

or s

uch

as T

MS3

20C

6X fo

r com

plex

sig

nal

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Lear

n an

d co

de T

MS3

20C

6x A

ssem

bly

leve

l pro

gram

min

g fo

r rea

l tim

e si

gnal

pro

cess

ing

appl

icat

ions





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Des

ign

and

codi

ng D

SP a

lgor

ithm

suc

h as

FFT

, DFT

, Con

volu

tion

, IIR

and

FIR

filte

rs in

TM

S320

C6x

CL

R-4

:

Gai

n kn

owle

dge

on a

dvan

ce fi

lter c

once

pts

and

filte

r sig

nal n

oise

usi

ng F

ilter

Ban

k, a

dapt

ive

filte

rs a

nd a

naly

zes

such

fil

ters

for h

igh

end

desi

gnin

g.

CL

R-5

:

Des

ign

DSP

sys

tem

for r

eal t

ime

appl

icat

ions

.

CL

R-6

:

Util

ize

the

conc

ept o

f DSP

for E

ngin

eerin

g an

d Te

chno

logy

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Dem

onst

rate

the

kno

wle

dge

on D

SP a

rchi

tect

ure

and

inst

ruct

ion

sets

of T

MS3

20C

6X

2 75

70

H

- H

-

- -

- -

- -

- -

- -

-

CL

O-2

:

Rev

iew

the

asse

mbl

y pr

ogra

mm

ing

know

ledg

e us

ing

TMS3

20C

6x

1

75

70

-

H

- -

- -

- -

- -

- -

H

- -

CL

O-3

:

Appl

y th

e pr

ogra

m c

once

pts

of D

SP a

lgor

ithm

suc

h as

FFT

, DFT

, Con

volu

tion

, IIR

and

FIR

filte

rs i

n TM

S320

C6x

2

75

70

-

H

- -

- -

- -

- -

- -

- -

-

CL

O-4

:

Anal

yze

on F

ilter

Ban

ks a

nd a

dapt

ive

filte

rs a

nd a

naly

ze s

uch

filte

rs.

2 75

70

- H

-

- H

-

- -

- -

- -

- L

-

CL

O-5

:

Rev

iew

the

know

ledg

e on

DSP

sys

tem

des

ign

base

d ap

plic

atio

ns.

1 75

70

- -

- -

H

- -

- -

- -

- -

- -

CL

O-6

:

Appl

y th

e co

ncep

t of D

SP fo

r rea

l tim

e ap

plic

atio

ns

2 75

70

- -

- -

H

- -

- -

- -

- -

M

M

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1 –

TM

S32

0C6X

A

rch

itec

ture

L

earn

ing

Un

it /

Mo

du

le 2

– T

MS

3206

X

Ass

emb

ly L

ang

uag

e L

earn

ing

Un

it /

Mo

du

le 3

– F

req

uen

cy

Tra

nsf

orm

s L

earn

ing

Un

it /

Mo

du

le 4

– D

igit

al

Filt

ers

Lea

rnin

g U

nit

/ M

od

ule

5 –

DS

P

Ap

plic

atio

ns

15

15

15

15

15

S-1

S

LO

-1

Arc

hit

ectu

re o

f T

MS

320C

6X

TMS3

20C

6X A

ssem

bly

Lang

uage

O

pera

tions

D

igita

l filte

ring

usin

g th

e D

FT

Filte

r ban

ks –

Dec

imat

ion,

D

ual t

one

Mul

ti-Fr

eque

ncy

(DTM

F)

Sign

alin

g

SL

O-2

P

ipel

ine

CP

U

Indi

vidu

al In

stru

ctio

n D

escr

iptio

ns

Co

nvo

luti

on

an

d c

orr

elat

ion

In

vers

e D

ecim

atio

n So

ftwar

e D

efin

ed R

adio

(SD

R)

S-2

S

LO

-1

Vel

oci

TI,

Func

tiona

l Uni

ts,

Arith

met

ic o

pera

tions

, ,

Fast

Fou

rier T

rans

form

–D

IT

Perfe

ct R

econ

stru

ctio

n Q

AM T

rans

mitt

er a

nd Q

AM R

ecei

ver

SL

O-2

Ad

dres

sing

mod

es,

logi

cal o

pera

tions

, Fa

st F

ourie

r Tra

nsfo

rm –

DIT

An

alys

is o

f M-B

and

filte

r Ban

ks

Mis

cella

neou

s Pr

ojec

ts--F

SK M

odem

S-3

S

LO

-1

Lab1

: Gen

erat

ion

of s

eque

nces

(fu

nctio

nal &

rand

om) (

Mat

lab)

La

b 7:

MAC

ope

ratio

n us

ing

vario

us

addr

essi

ng m

odes

L

ab 1

3: S

pec

tru

m a

nal

ysis

usi

ng

D

FT

(Mat

lab

) L

ab 1

9: F

IR Im

ple

men

tati

on

usi

ng

TM

S

Pro

cess

or

Lab

25:

Eq

ual

izat

ion

(M

atla

b)

SL

O-2

S-4

S

LO

-1

Lab

2:

Co

rrel

atio

n(M

atla

b)

Lab

8:

MA

C o

per

atio

n u

sin

g v

ario

us

add

ress

ing

mo

des

L

ab 1

4: F

FT

Imp

lem

enta

tio

n(D

SP

p

roce

sso

r)

Lab

20:

FIR

Imp

lem

enta

tio

n u

sin

g T

MS

P

roce

sso

r L

ab 2

6: E

qu

aliz

atio

n (

Mat

lab

) S

LO

-2

S-5

S

LO

-1

TMS3

20C

6X In

stru

ctio

n Se

ts,

Mem

ory

data

ope

ratio

ns

Fast

Fou

rier T

rans

form

–D

IF

Orth

ogon

ality

and

Bio

rthog

onal

ity in

Filt

er

bank

s u-

Law

for S

peec

h C

ompa

ndin

g,

SL

O-2

As

sem

bler

dire

ctiv

es

Con

ditio

nal O

pera

tions

Fa

st F

ourie

r Tra

nsfo

rm D

IF

QM

F Fi

lter b

anks

and

A

cou

stic

Dir

ecti

on

Tra

cker

S-6

S

LO

-1

Mul

ticha

nnel

Buf

fere

d Se

rial P

orts

Fl

oatin

g Po

int –

Dat

a ty

pe o

pera

tions

, IF

FT

CQ

F Fi

lter B

anks

M

ultir

ateF

ilter

,Neu

ral N

etw

ork

for S

igna

l R

ecog

nitio

n

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

2

SL

O-2

M

emor

y C

onsi

dera

tions

–C

onst

rain

ts

Floa

ting

Poin

t –D

ata

type

ope

ratio

ns

FIR

filte

rs

Tran

smul

tiplix

ers;

P

ID C

on

tro

ller,

Fou

r-Cha

nnel

M

ultip

lexe

r for

Fas

t Dat

a Ac

quis

ition

S-7

S

LO

-1

Lab

3:

Lin

ear

Co

nvo

luti

on

(M

atla

b)

Lab

9:

MA

C o

per

atio

n u

sin

g v

ario

us

add

ress

ing

mo

des

L

ab 1

5: F

IR f

ilter

des

ign

-Win

do

win

g

Tec

hn

iqu

es(M

atla

b)

Lab

21:

IIR

imp

lem

enta

tio

n u

sin

g T

MS

p

roce

sso

r L

ab 2

7: R

eal t

ime

aud

io s

ign

al

pro

cess

ing

wit

h P

roce

sso

r S

LO

-2

S-8

S

LO

-1

Lab

4 :

Cir

cula

r co

nvo

luti

on

(Mat

lab

) L

ab 1

0: L

inea

r co

nvo

luti

on

(DS

P

pro

cess

or)

L

ab 1

6: F

IR f

ilter

des

ign

-Win

do

win

g

Tec

hn

iqu

es(M

atla

b)

Lab

22:

IIR

imp

lem

enta

tio

n u

sin

g T

MS

p

roce

sso

r L

ab 2

8: R

eal t

ime

aud

io s

ign

al

pro

cess

ing

wit

h P

roce

sso

r S

LO

-2

S-9

S

LO

-1

Inst

ruct

ion

Ope

ratio

n an

d Ex

ecut

ion

nota

tions

Fi

xed-

Poi

nt O

pera

tions

, FI

R fi

lters

St

ruct

ures

and

Pro

gram

min

g Ex

ampl

es

for N

oise

can

cella

tion

Vide

o Li

ne R

ate

Anal

ysis

SL

O-2

O

verv

iew

of I

EEE

Stan

dard

sin

gle

and

Dou

ble

Prec

isio

n fo

rmat

s ,

Fixe

d- P

oint

Ope

ratio

ns

IIR fi

lter

Adap

tive

Filte

rs-A

dapt

ive

filte

rs in

DSP

si

mul

atio

n so

ftwar

e’s

and

TMSC

320C

6x

DSP

Sys

tem

Des

ign

S-1

0 S

LO-1

Q

-form

at N

umbe

r Rep

rese

ntat

ion

on

Fixe

d Po

int D

SPs,

Fin

ite W

ord

leng

th

effe

cts

on F

ixed

poi

nt D

SPS

Pipe

line

Ope

ratio

ns o

verv

iew

IIR

filte

r So

ftwar

e si

mul

atio

n of

FIR

M

P3 P

laye

r

SLO

-2

Floa

ting

poin

t num

ber r

epre

sent

atio

n, ,

Ove

rflow

and

Sca

ling

Inte

rrupt

s-ov

ervi

ew.

FIR

and

IIR

filte

r des

ign

usin

g TM

S320

C6x

IIR

Filte

rs a

nd F

ilter

ban

ks

DSP

Aut

omot

ive

appl

icat

ion

S-1

1 S

LO-1

La

b 5:

Stu

dy o

f arc

hite

ctur

e of

Dig

ital

Sign

al P

roce

ssor

L

ab 1

1: C

ircu

lar

con

volu

tio

n(D

SP

p

roce

sso

r)

Lab

17: I

IR fi

lter d

esig

n-Bi

linea

r and

Im

puls

e In

varia

nce

Tech

niqu

e(M

atla

b)

Lab

23:

Mu

ltir

ate

filt

ers

Lab

29:

Rea

l tim

e au

dio

sign

al p

roce

ssin

g w

ith P

roce

ssor

S

LO-2

S-1

2 S

LO-1

L

ab 6

: S

tud

y o

f ar

chit

ectu

re o

f D

igit

al

Sig

nal

Pro

cess

or

Lab

12:

Wav

efo

rm g

ener

atio

n(D

SP

p

roce

sso

r)

Lab

18:

IIR

filt

er d

esig

n-B

ilin

ear

and

Im

pu

lse

Inva

rian

ce T

ech

niq

ue(

Mat

lab

) L

ab 2

4: F

init

e W

ord

Len

gth

Eff

ect

Lab

30:

Rea

l tim

e au

dio

sig

nal

p

roce

ssin

g w

ith

Pro

cess

or

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

B V

enka

tara

man

i, M

Bh

aska

r, “

Dig

ital

Sig

nal

Pro

cess

ors

: A

rch

itec

ture

,Pro

gra

mm

ing

an

d

Ap

plic

atio

ns”

, TM

H P

ub

lish

ers,

2n

d e

dit

ion

, 20

17

2.

Pau

lo S

. R.D

iniz

Ed

uar

do

A. B

. da

Silv

a an

d S

erg

io L

. Net

to, “

Dig

ital

Sig

nal

Pro

cess

ing

Sys

tem

A

nal

ysis

an

d D

esig

n”,

Cam

bri

dg

e U

niv

ersi

ty

Pre

ss, 2

nd

Ed

itio

n.2

010

3.

Nas

ser

Keh

tarn

avaz

, Nam

jin K

im, “

Dig

ital

Sig

nal

Pro

cess

ing

Sys

tem

-Lev

el D

esig

n U

sin

g

Lab

VIE

W”,

New

gen

Els

evie

r P

ub

licat

ion

, 2n

d e

dit

ion

, 201

4

4. R

ulp

hC

has

sain

g -

“D

SP

Ap

plic

atio

ns

Usi

ng

C a

nd

th

e T

MS

320C

6x D

SK

” Jo

hn

Wile

y &

So

ns,

In

c. 2

002.

5.

N

asse

r K

ehta

rnav

az ,

“Rea

l-T

ime

Dig

ital

Sig

nal

Pro

cess

ing

Bas

ed o

n t

he

TM

S32

0C60

00”,

N

ewn

es, 2

005.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

M

rs. K

. Har

i Sud

ha, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

D

r. S

. Dh

anal

aksh

mi,

Ass

oc.

Pro

fess

or,

S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

3

Co

urs

e C

od

e 18

EC

E24

5T

Co

urs

e N

ame

AD

AP

TIV

E S

IGN

AL

PR

OC

ES

SIN

G

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

ECC

204J

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

18EC

E342

T

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Hav

e an

insi

ght o

n ba

sics

of r

ando

m p

roce

sses

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Gai

n kn

owle

dge

on th

e ap

plic

atio

ns o

f ada

ptiv

e fil

ters





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Achievement

PSO – 2: Project Management Techniques


CL

R-3

:

Hav

e an

intro

duct

ion

on L

MS

tech

niqu

es

CL

R-4

:

Anal

yze

the

type

s of

LM

S al

gorit

hm

CL

R-5

:

Hav

e an

intro

duct

ion

on R

LS a

lgor

ithm

CL

R-6

:

Und

erst

andi

ng o

n ne

ed a

nd d

esig

n of

ada

ptiv

e fil

ters

usi

ng d

iffer

ent a

lgor

ithm

s

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Rev

iew

the

basi

cs o

f sta

tistic

al s

igna

l pro

cess

ing

1 85

70

H

- -

- -

- -

- -

- -

- M

-

-

-CL

O-2

:

Und

erst

and

the

need

for a

dapt

ive

filte

rs a

nd le

arn

the

desi

gn o

f it.

1 85

70

- M

-

- -

- -

- -

- -

- -

- M

CL

O-3

:

Dem

onst

rate

the

know

ledg

e on

LM

S al

gorit

hms

and

cons

train

ts a

ssoc

iate

d w

ith it

. 2

85

75

-

H

H

- -

- -

- -

- -

- -

- -

CL

O-4

:

Det

erm

ine

the

varia

nts

of L

MS

algo

rithm

and

des

ign

of la

ttice

stru

ctur

es

2 85

75

- M

-

- -

- -

- -

- -

- -

M

-

CL

O-5

:

Anal

yze

kno

wle

dge

on d

esig

n of

RLS

filte

rs a

nd o

ther

s as

pect

s of

filte

r des

ign

2 85

75

- -

M

- -

- -

- -

- -

- -

- -

CL

O-6

:

Und

erst

and

the

appl

icat

ions

of a

dapt

ive

sign

al p

roce

ssin

g an

d al

gorit

hms

in d

esig

ning

the

adap

tive

filte

rs

1 85

75

- -

H

- -

- -

- -

- -

- M

-

-

Dur

atio

n (h

our)

In

tro

du

ctio

n t

o S

toch

asti

c P

roce

ss

Ad

apti

ve F

ilter

s L

east

Mea

n S

qu

are

Alg

ori

thm

V

aria

nts

of

LM

S A

lgo

rith

m A

nd

Lat

tice

S

tru

ctu

res

Rec

urs

ive

Lea

st S

qu

are

Alg

ori

thm

9 9

9 9

9

S-1

S

LO-1

In

trodu

ctio

n to

rand

om p

roce

ss

Intro

duct

ion

to a

dapt

ive

filte

rs

Leas

t mea

n sq

uare

alg

orith

m

Sign

LM

S al

gorit

hm

Rec

ursi

ve a

dapt

ive

filte

rs

SLO

-2

Varia

bles

, vec

tors

Bl

ock

diag

ram

of a

dapt

ive

stru

ctur

e w

ith

shift

var

iant

filte

r D

eriv

atio

n N

orm

aliz

ed L

MS

Prin

cipl

e of

RLS

alg

orith

m

S-2

S

LO-1

En

sem

ble

aver

ages

Pr

oper

ties

of a

dapt

ive

filte

r Pr

oper

ties

of L

MS

adap

tive

filte

rs

Leak

y LM

S FI

R R

LS fi

lter a

lgor

ithm

SLO

-2

Tim

e av

erag

es

Erro

r seq

uenc

e ge

nera

tion

in a

dapt

ive

filte

rs

Prop

ertie

s of

LM

S ad

aptiv

e fil

ters

Bl

ock

LMS

Der

ivat

ion

S-3

S

LO-1

St

atio

narit

y an

d St

atio

nary

rand

om

proc

ess

Cha

nnel

Equ

aliz

atio

n- B

lock

dia

gram

of

com

mun

icat

ion

syst

em w

ith C

hann

el

equa

lizat

ion

Com

plex

LM

S al

gorit

hm

FFT

base

d im

plem

enta

tion

of b

lock

LM

S Sl

idin

g w

indo

w R

LS

SLO

-2

Wid

e se

nse

stat

iona

rity

Echo

can

cella

tion

Con

verg

ence

of L

MS

algo

rithm

FF

T ba

sed

impl

emen

tatio

n of

blo

ck L

MS

Der

ivat

ion

S-4

S

LO-1

Po

wer

Spe

ctra

l Den

sity

C

once

pt o

f ada

ptiv

e no

ise

canc

ellin

g Le

arni

ng c

urve

for a

dapt

ive

filte

rs

Com

paris

on o

f var

iant

s on

LM

S fo

r som

e pr

actic

al p

robl

em

Com

parin

g va

riant

s of

RLS

usi

ng

MAT

LAB

prog

ram

SLO

-2

Prop

ertie

s of

PSD

Be

am fo

rmin

g w

ith p

ilot s

igna

ls

Sam

ple

MAT

LAB

prog

ram

for L

MS

conv

erge

nce

and

plot

ting

lear

ning

cur

ve

Com

paris

on o

f var

iant

s on

LM

S fo

r som

e pr

actic

al p

robl

em

Com

parin

g va

riant

s of

RLS

usi

ng

MAT

LAB

prog

ram

S-5

S

LO-1

Sa

mpl

e pr

oble

ms

on W

SS ra

ndom

pr

oces

s Sy

stem

mod

elin

g u

sing

ada

ptiv

e fil

ters

Pe

rform

ance

ana

lysi

s of

LM

S ad

aptiv

e fil

ters

by

vary

ing

step

siz

e (M

ATLA

B)

Latti

ce fi

lters

intro

duct

ion

Kalm

an fi

lters

SLO

-2

Sam

ple

prob

lem

s on

WSS

rand

om

proc

ess

Syst

em Id

entif

icat

ion

stru

ctur

e Pe

rform

ance

ana

lysi

s of

LM

S ad

aptiv

e fil

ters

by

vary

ing

step

siz

e (M

ATLA

B)

Adva

ntag

es o

f Lat

tice

stru

ctur

es

Kalm

an fi

lters

S-6

S

LO-1

Fi

lterin

g of

rand

om p

roce

ss

Syst

em in

vers

ion

usin

g ad

aptiv

e fil

ters

W

eigh

t erro

r cor

rela

tion

mat

rix

Forw

ard

linea

r pre

dict

ion

Sam

ple

prob

lem

s on

RLS

alg

orith

ms

SLO

-2

Filte

ring

of ra

ndom

pro

cess

In

terfe

renc

e ca

ncel

latio

n in

mul

ti se

nsor

LM

S m

isad

just

men

t def

initi

on

Forw

ard

linea

r pre

dict

ion

Sam

ple

prob

lem

s on

RLS

alg

orith

ms

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

4

syst

ems

S-7

S

LO-1

Au

toco

rrela

tion

Stru

ctur

es

Min

imiz

atio

n of

mea

n sq

uare

erro

r Ef

fect

s of

mis

adju

stm

ent f

acto

r Ba

ckw

ard

linea

r pre

dict

ion

Non

line

ar a

dapt

ive

filte

rs

SLO

-2

Cov

aria

nce

Stru

ctur

es

Der

ivat

ion

on M

MSE

Sa

mpl

e pr

oble

ms

for d

esig

ning

ada

ptiv

e fil

ters

usi

ng L

MS

Back

war

d lin

ear p

redi

ctio

n In

trodu

ctio

n to

Neu

ral n

etw

orks

S-8

S

LO-1

Ei

gen

valu

e de

com

posi

tion

Stee

pest

Des

cent

alg

orith

m

Sam

ple

prob

lem

s on

ste

p si

ze

Ref

lect

ion

coef

ficie

nts

of fo

rwar

d an

d ba

ckw

ard

pred

icto

rs

Neu

ral n

etw

orks

and

mul

tilay

er

perc

epto

rns

SLO

-2

Eige

n va

lue

anal

ysis

of a

utoc

orre

latio

n m

atric

es

Line

ar p

redi

ctio

n ex

ampl

e Sa

mpl

e pr

oble

ms

on s

tep

size

R

elat

ion

betw

een

forw

ard

and

back

war

d pr

edic

tion

coef

ficie

nts

Neu

ral n

etw

orks

and

mul

tilay

er

perc

epto

rns

S-9

S

LO-1

Er

godi

city

W

iene

r filt

ers

Stab

ility

anal

ysis

of L

MS

algo

rithm

s Pr

oper

ties

of L

attic

e st

ruct

ures

Ad

aptiv

e IIR

filte

ring

SLO

-2

Ergo

dic

rand

om p

roce

ss

Opt

imiz

atio

n so

lutio

n in

wie

ner f

ilter

s St

abilit

y an

alys

is o

f LM

S al

gorit

hms

Upd

atin

g pr

edic

tor c

oeffi

cien

ts

Adap

tive

IIR fi

lterin

g L

earn

ing

R

eso

urc

es

1.

S. H

ayki

n ,A

dapt

ive

Filt

er T

heor

y, P

rent

ice-

Hal

l, 4-

th e

ditio

n, 2

001.

2.

A

li H

. Say

ed ,F

unda

men

tals

of A

dapt

ive

Filt

erin

g, J

ohn

Wile

y, 2

003.

3.

D

. Man

olak

is, V

. Ing

le, S

. Kog

an,S

tatis

tical

and

Ada

ptiv

e S

igna

l Pro

cess

ing:

Spe

ctra

l Est

imat

ion,

S

igna

l Mod

elin

g, A

dapt

ive

Filt

erin

g an

d A

rray

Pro

cess

ing,

McG

raw

Hill

, 199

9.

4.

B. W

idro

w, S

. Ste

arns

,Ada

ptiv

e S

igna

l Pro

cess

ing,

Pre

ntic

e-H

all,

1985

5.

M

onso

n H

. Hay

es,S

tatis

tical

Dig

ital S

igna

l Pro

cess

ing

and

Mod

elin

g, E

ditio

n: 1

st, 2

008.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

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ory

Pra

ctic

e T

heor

y P

ract

ice

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ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

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%

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l 2

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ly

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-

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lyze

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l 3

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luat

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CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

E

xper

ts fr

om In

dust

ry

Exp

erts

from

Hig

her

Tec

hnic

al In

stitu

tions

In

tern

al E

xper

ts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

D

r. S.

Dha

nala

kshm

i, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

5

Co

urs

e C

od

e 18

EC

E34

0T

Co

urs

e N

ame

MA

CH

INE

PE

RC

EP

TIO

N W

ITH

CO

GN

ITIO

N

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

EC

E24

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Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Hav

e an

insi

ght o

n im

age

and

colo

r fun

dam

enta

ls

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Anal

yze

the

vario

us s

hape

s an

d re

gion

s fo

r the

imag

e de

scrip

tion

Level of Thinking (Bloom) Expected Proficiency

(%)



Problem Analysis


Analysis, Design,

Research

Modern Tool Usage

Society & Culture

Environment &

Sustainability

Ethics


Communication


Life Long Learning

PSO – 1: Professional

Achievement

PSO – 2: Project


PSO – 3: Analyze

&Research

CL

R-3

:

Acqu

ire k

now

ledg

e on

the

text

ure

anal

ysis

of a

n im

age

CL

R-4

:

Iden

tify

the

rela

tion

betw

een

the

tem

plat

es to

mat

ch th

e im

age

requ

irem

ents

CL

R-5

:

Know

the

prac

tical

app

licat

ions

of c

ompu

ter v

isio

n in

imag

es u

nder

stan

ding

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Dem

onst

rate

the

fund

amen

tals

of i

mag

e an

d co

lor m

odel

s 2

80

75

H

-

- -

- -

- -

- -

- -

- -

-

CL

O-2

:

Und

erst

and

the

basi

c sh

apes

and

regi

on b

ased

imag

e m

odel

ing

2 85

75

- H

-

- -

- -

- -

- -

- M

-

-

CL

O-3

:

Anal

yze

the

vario

us te

xtur

es fo

r im

age

synt

hesi

s 2

85

70

-

- -

M

- -

- -

- -

- -

- -

M

CL

O-4

:

Dis

cuss

the

obje

cts

base

d on

tem

plat

e re

latio

ns

2 85

75

- -

M

- -

- -

- -

- -

- -

- -

CL

O-5

:

Appl

y th

e im

age

unde

rsta

ndin

g kn

owle

dge

for i

mag

e re

cogn

ition

2

85

70

-

- M

-

- -

- -

- -

- -

- -

-

CL

O-6

: R

evie

w th

e pr

inci

ples

of i

mag

e m

odel

ing

and

synt

hesi

s w

ith im

age

reco

gniti

on

2 85

70

- -

- M

-

- -

- -

- -

- M

-

-

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Bas

ic A

ud

io P

roce

ssin

g

Lea

rnin

g U

nit

/ M

od

ule

2

Hu

man

Au

dit

ory

Sys

tem

Lea

rnin

g U

nit

/ M

od

ule

3

Sp

eech

Sig

nal

An

alys

is in

Tim

e D

om

ain

Lea

rnin

g U

nit

/ M

od

ule

4

Sp

eech

Sig

nal

An

alys

is in

Fre

qu

ency

D

om

ain

Lea

rnin

g U

nit

/ M

od

ule

5

Sp

eech

an

d A

ud

io p

roce

ssin

g

app

licat

ion

s

12

12

12

12

12

S-1

S

LO

-1

Rev

iew

of I

mag

e pr

oces

sing

met

hods

Bi

nary

Sha

pe a

naly

sis

Rep

rese

ntin

g te

xtur

es

Find

ing

obje

cts

by v

otin

g on

rela

tion

betw

een

tem

plat

es

Face

det

ectio

n

SL

O-2

R

evie

w o

f Im

age

proc

essi

ng m

etho

ds

Bina

ry S

hape

ana

lysi

s R

epre

sent

ing

text

ures

In

tere

st p

oint

s, S

impl

e vo

ting,

Vot

ing

on

ralti

ons.

Fa

ce d

etec

tion

S-2

S

LO

-1

Intro

duct

ion

to im

age

form

atio

n C

onne

cted

ness

Ex

tract

ing

imag

e St

ruct

ure

with

filte

r ba

nks

Rel

atio

nal r

easo

ning

usi

ng p

roba

bilis

tic

fram

ewor

k Fa

ce re

cogn

ition

SL

O-2

In

trodu

ctio

n to

imag

e fo

rmat

ion

Obj

ect l

abel

ing

and

coun

ting

Extra

ctin

g im

age

Stru

ctur

e w

ith fi

lter

bank

s G

row

ing

Asse

mbl

ies

Incr

emen

tally

, D

etec

tion,

Pru

ning

Fa

ce re

cogn

ition

S-3

S

LO

-1

Imag

e m

odel

s Si

ze fi

lterin

g R

epre

sent

ing

text

ure

usin

g st

atis

tics

of

filte

r out

put

Fram

es a

nd p

roba

bilit

y m

odel

s Ei

gen

face

s

SL

O-2

C

amer

a m

odel

s D

ista

nce

func

tions

R

epre

sent

ing

text

ure

usin

g st

atis

tics

of

filte

r out

put

Rep

rese

ntin

g co

ordi

nate

fram

es

Activ

e ap

pear

ence

S-4

S

LO

-1

Sam

ple

prog

ram

s fo

r rea

ding

imag

es,

unde

rsta

ndin

g pi

xels

Sk

elet

ons

and

thin

ning

An

alys

is u

sing

orie

nted

pyr

amid

s U

sing

pro

babi

lity

mod

el fo

r det

ectin

g th

e fra

mes

3D

sha

pe m

odel

s of

face

sur

veilla

nce

SL

O-2

Sa

mpl

e pr

ogra

ms

for r

eadi

ng im

ages

, un

ders

tand

ing

pixe

ls

Def

orm

able

sha

pe a

naly

sis

Lapl

acia

n py

ram

ids

Build

ing

prob

abilit

y m

odel

s fo

r fra

me

inva

riant

3D

sha

pe m

odel

s of

face

sur

veilla

nce

S-5

S

LO

-1

Shad

ows

Boun

dary

trac

king

pro

cedu

res

Filte

rs in

the

spat

ial f

requ

ency

dom

ain

Cla

ssifi

ers

to p

rune

sea

rch

Fore

grou

nd s

epar

atio

n

SL

O-2

C

olor

repr

esen

tatio

n Bo

unda

ry tr

acki

ng p

roce

dure

s Fi

lters

in th

e sp

atia

l fre

quen

cy d

omai

n Id

entif

ying

acc

epta

ble

asse

mbl

ies

Ba

ckgr

ound

sep

arat

ion

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

6

S-6

S

LO

-1

Hum

an c

olor

per

cept

ion

Shap

e m

odel

s O

rient

ed p

yram

ids

Sam

ple

exam

ples

for p

rune

sea

rch

Parti

cle

filte

rs

SL

O-2

H

uman

col

or p

erce

ptio

n Sh

ape

reco

gniti

on

Orie

nted

pyr

amid

s H

idde

n M

arko

v m

odel

Pa

rticl

e fil

ters

S-7

S

LO

-1

Imag

e co

lor

Cen

troid

al p

rofil

es

Synt

hesi

zing

text

ures

for r

ende

ring

Com

putin

g, M

axim

izin

g pa

ram

eter

s C

ham

per m

atch

ing,

trac

king

and

oc

clus

ions

SL

O-2

Im

age

colo

r H

andl

ing

occl

usio

ns

Synt

hesi

zing

text

ures

for H

omog

enei

ty

Varie

ties

of H

MM

C

ham

per m

atch

ing,

trac

king

and

oc

clus

ions

S-8

S

LO

-1

Han

dlin

g C

olor

Imag

es (M

ATLA

B)

Boun

dary

des

crip

tors

Sy

nthe

sis

by s

ampl

ing

loca

l mod

els

Back

grou

nd s

ubtra

ctio

n C

ombi

ning

vie

ws

from

mul

tiple

cam

eras

SL

O-2

H

andl

ing

Col

or Im

ages

(MAT

LAB)

Bo

unda

ry d

escr

ipto

rs

Synt

hesi

s by

sam

plin

g lo

cal m

odel

s Sa

mpl

e pr

ogra

ms

on b

ackg

roun

d su

btra

ctio

n H

uman

gai

t

S-9

S

LO

-1

Surfa

ce C

olor

R

egio

n de

scrip

tors

Sh

ape

from

text

ure

plan

es

Hou

gh tr

ansf

orm

C

onst

ruct

ing

3D m

odel

s fro

m im

age

sequ

ence

s

SL

O-2

Su

rface

Col

or

Reg

ion

desc

ripto

rs

Text

ure

from

sha

pe p

lane

s Sa

mpl

e pr

oble

ms

on H

ough

tran

sfor

ms

Scen

e m

odel

ing

from

regi

ster

ed a

nd

unre

gist

ered

imag

es

Lea

rnin

g

Res

ou

rces

1.

E. R

. Dav

ies,

“C

ompu

ter

& M

achi

ne V

isio

n”, F

ourt

h E

ditio

n, A

cade

mic

Pre

ss, 2

012.

2.

R

. Sze

liski

, “C

ompu

ter

Vis

ion:

Alg

orith

ms

and

App

licat

ions

”, S

prin

ger

2011

.

3.

Sim

on J

. D. P

rince

, “C

ompu

ter

Vis

ion:

Mod

els,

Lea

rnin

g, a

nd In

fere

nce”

, Cam

brid

ge U

nive

rsity

P

ress

, 201

2

4.

Mar

k N

ixon

and

Alb

erto

S. A

quad

o, “

Fea

ture

Ext

ract

ion

& Im

age

Pro

cess

ing

for

Com

pute

r V

isio

n”, T

hird

E

ditio

n, A

cade

mic

Pre

ss, 2

012

5.

D. L

. Bag

gio

et a

l., “

Mas

terin

g O

penC

V w

ith P

ract

ical

Com

pute

r V

isio

n P

roje

cts”

, Pac

kt P

ublis

hing

, 201

2 6.

Ja

n E

rik S

olem

, “P

rogr

amm

ing

Com

pute

r V

isio

n w

ith P

ytho

n: T

ools

and

alg

orith

ms

for

anal

yzin

g im

ages

”,

O'R

eilly

Med

ia, 2

012.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

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heor

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ract

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ory

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ctic

e

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l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

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%

- 30

%

- 30

%

- 30

%

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reat

e

T

otal

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10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. A.

Ruh

an B

evi,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

7

Co

urs

e C

od

e 18

EC

E34

1T

Co

urs

e N

ame

Mul

timed

ia C

ompr

essi

on T

echn

ique

s C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

EC

E24

0T

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Sum

mar

ize

prob

abilit

y m

odel

s an

d di

scus

s on

cod

ing

theo

ry

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Impl

emen

t lo

ssle

ss c

ompr

essi

on


Expected Proficiency

(%) Expected Attainment

(%)


Problem Analysis


Analysis, Design,

Research

Modern Tool Usage

Society & Culture

Environment &

Sustainability

Ethics


Communication


Life Long Learning


Achievement

PSO – 2: Project


PSO – 3: Analyze &Research

CL

R-3

:

Dis

cuss

on

Loss

y da

ta c

ompr

essi

on

CL

R-4

:

Appl

y th

e en

codi

ng m

etho

ds

CL

R-5

:

Car

ry o

ut th

e C

ompr

essi

on T

echn

ique

s an

d th

eir a

pplic

atio

ns

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Sum

mar

ize

the

fund

amen

tal c

once

pts

of p

roba

bilit

y m

odel

and

to s

tate

the

prac

tical

lim

its s

peci

fied

by

codi

ng th

eory

1,

2 85

80

H

L

CL

O-2

:

Out

line

rate

-dis

torti

on th

eory

and

to d

iscu

ss a

bout

effi

cien

t inf

orm

atio

n tra

nsfe

r mec

hani

sm

2 85

75

H

H

M

L H

CL

O-3

:

Show

the

fund

amen

tal a

ppro

ache

s to

war

ds lo

ssy

imag

e co

mpr

essi

on

1,2

80

75

H

M

L

M

M

H

CL

O-4

:

Anal

yze

imag

e, v

ideo

and

aud

io in

the

frequ

ency

dom

ain

to id

entif

y im

porta

nt c

ompo

nent

s to

be

enco

ded

2 80

70

H

M

M

H

H

H

CL

O-5

:

Anal

yze

the

Appl

icat

ions

of v

ario

us c

ompr

essi

on te

chni

ques

3

80

70

M

M

L

H

H

L

M

CL

O-6

: Ex

amin

e va

rious

dat

a co

mpr

essi

on a

nd e

ncod

ing

met

hods

3

85

80

H

M

M

H

M

H

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

L

earn

ing

Un

it /

Mo

du

le 2

Lea

rnin

g U

nit

/ M

od

ule

3

L

earn

ing

Un

it /

Mo

du

le 4

Lea

rnin

g U

nit

/ M

od

ule

5

9 9

9 9

9

S-1

S

LO

-1

The

dis

cret

e m

emor

y le

ss in

form

atio

n so

urce

M

athe

mat

ical

Pre

limin

arie

s fo

r Lo

ssle

ss

Rat

e di

stor

tion

func

tion

Vec

tor

Qua

ntiz

atio

n

Tra

nsfo

rm

Cod

ing:

In

trod

uctio

n,

Kar

hune

n-Lo

eve

tran

sfor

m, ,

, ,

Imag

e co

mpr

essi

on –

EZ

W, S

PIH

T, J

PE

G

2000

- A

naly

sis/

Syn

thes

is S

chem

es.

SL

O-2

K

raft

ineq

ualit

y; o

ptim

al c

odes

M

athe

mat

ical

Pre

limin

arie

s fo

r Lo

ssle

ss

Com

pres

sion

R

ate

dist

ortio

n fu

nctio

n LB

G a

lgor

ithm

K

arhu

nen-

Loev

e tr

ansf

orm

S-2

S

LO

-1

Sou

rce

codi

ng th

eore

m-E

ntro

py

Huf

fman

Cod

ing

Pro

pert

ies

of R

D

Tre

e st

ruct

ured

VQ

K

arhu

nen-

Loev

e tr

ansf

orm

SL

O-2

Jo

int E

ntro

py a

nd C

ondi

tiona

l Ent

ropy

H

uffm

an C

odin

g P

rope

rtie

s of

RD

S

truc

ture

d V

Q

disc

rete

cos

ine

tran

sfor

m,

S-3

S

LO

-1

Rel

ativ

e E

ntro

py

Opt

imal

ity o

f Huf

fman

cod

es

Cal

cula

tion

of R

D fo

r th

e bi

nary

sou

rce

and

the

Gau

ssia

n so

urce

V

aria

tions

of V

Q

disc

rete

cos

ine

tran

sfor

m,

SL

O-2

M

utua

l Inf

orm

atio

n E

xten

ded

Huf

fman

Cod

ing

Cal

cula

tion

of R

D fo

r th

e bi

nary

sou

rce

and

the

Gau

ssia

n so

urce

G

ain

shap

e V

Q

disc

rete

Wal

sh H

adam

ard

tran

sfor

m

S-4

S

LO

-1

Cha

in R

ules

A

dapt

ive

Huf

fman

Cod

ing

R

ate

dist

ortio

n th

eore

m

Mea

n re

mov

ed V

Q

disc

rete

Wal

sh H

adam

ard

tran

sfor

m

SL

O-2

D

ata-

Pro

cess

ing

Ineq

ualit

y A

rithm

etic

Cod

ing

R

ate

dist

ortio

n th

eore

m

Cla

ssifi

ed V

Q

Qua

ntiz

atio

n an

d co

ding

of t

rans

form

co

effic

ient

s

S-5

S

LO

-1

Fan

o’s

Ineq

ualit

y S

ymm

etric

Cha

nnel

s A

dapt

ive

Arit

hmet

ic c

odin

g C

onve

rse

of th

e R

ate

dist

ortio

n th

eore

m

Mul

tista

ge V

Q

Qua

ntiz

atio

n an

d co

ding

of t

rans

form

co

effic

ient

s

SL

O-2

F

ano’

s In

equa

lity

Sym

met

ric C

hann

els

Run

Len

gth

Cod

ing

Qua

ntiz

atio

n pr

oble

m

Ada

ptiv

e V

Q

JPE

G

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

8

S-6

S

LO

-1

Pro

pert

ies

of C

hann

el C

apac

ity, J

oint

ly

Typ

ical

Seq

uenc

es

Dic

tiona

ry T

echn

ique

s

Sca

lar

Qua

ntiz

atio

n- U

nifo

rm Q

uant

izer

T

relli

s co

ded

quan

tizat

ion

Tra

nsfo

rms.

JP

EG

SL

O-2

P

rope

rtie

s of

Cha

nnel

Cap

acity

, Joi

ntly

T

ypic

al S

eque

nces

Le

mpe

l Ziv

cod

ing

Sca

lar

Qua

ntiz

atio

n- U

nifo

rm Q

uant

izer

T

relli

s co

ded

quan

tizat

ion

Tra

nsfo

rms.

M

DC

T

S-7

S

LO

-1

Cha

nnel

Cod

ing

The

orem

A

pplic

atio

ns

Ada

ptiv

e Q

uant

izat

ion

Bas

ic a

lgor

ithm

M

DC

T

SL

O-2

C

hann

el C

odin

g T

heor

em

Pre

dict

ive

Cod

ing

A

dapt

ive

Qua

ntiz

atio

n P

redi

ctio

n in

DP

CM

Im

age

com

pres

sion

– E

ZW

- A

naly

sis/

Syn

thes

is S

chem

es

S-8

S

LO

-1

Fan

o’s

Ineq

ualit

y P

redi

ctio

n w

ith P

artia

l Mat

ch

Non

-uni

form

Qua

ntiz

atio

n P

redi

ctio

n in

DP

CM

Im

age

com

pres

sion

– S

PIH

T-

Ana

lysi

s/S

ynth

esis

Sch

emes

SL

O-2

F

ano’

s In

equa

lity

Bur

row

s W

heel

er T

rans

form

N

on-u

nifo

rm Q

uant

izat

ion

Ada

ptiv

e D

PC

M

Imag

e co

mpr

essi

on –

JP

EG

200

0-

Ana

lysi

s/S

ynth

esis

Sch

emes

S-9

S

LO

-1

Con

vers

e to

the

Cod

ing

The

orem

D

ynam

ic M

arko

v C

ompr

essi

on

Ent

ropy

cod

ed Q

uant

izat

ion

Ada

ptiv

e D

PC

M

Aud

io c

odin

g:-M

PE

G a

udio

cod

ing

SL

O-2

C

onve

rse

to th

e C

odin

g T

heor

em

Dyn

amic

Mar

kov

Com

pres

sion

E

ntro

py c

oded

Qua

ntiz

atio

n D

elta

Mod

ulat

ion

Aud

io c

odin

g:-M

PE

G a

udio

cod

ing

Lea

rnin

g

Res

ou

rces

1.

K. S

ayoo

d, “

Intr

oduc

tion

to D

ata

Com

pres

sion

”,3rd

Edi

tion,

Mor

gan

Kau

fman

n P

ublis

hers

, 20

06.

2.

N. J

ayan

t and

P. N

oll,

“Dig

ital C

odin

g of

Wav

efor

ms:

Prin

cipl

es a

nd A

pplic

atio

ns to

Spe

ech

and

Vid

eo”,

ISB

N10

013

2119

137,

Pre

ntic

e H

all,

US

A, 1

984.

3.

D

. Sal

omon

, “H

andb

ook

of D

ata

Com

pres

sion

”, 5

th E

ditio

n, S

prin

ger-

Ver

lag

Lond

on L

imite

d 20

10.

4.

Ze.

Nia

n. L

i and

M.S

. Dre

w, “

Fun

dam

enta

ls o

f Mul

timed

ia”,

2nd E

ditio

n, P

ears

on E

duca

tion

(Asi

a) P

vt. L

td.,

2 004

. 5.

M

.Rab

bani

: “D

igita

l im

age

com

pres

sion

tech

niqu

es”,

1st E

ditio

n, S

PIE

Pre

ss B

ook,

199

1.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. S.

Dha

nala

kshm

i, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Mrs

. K. H

aris

udha

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

10

9

Co

urs

e C

od

e 18

EC

E34

2T

Co

urs

e N

ame

AC

OU

ST

ICA

L S

IGN

AL

PR

OC

ES

SIN

G

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

EC

E24

5T

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s IS

O/T

C 4

3/S

C 1

, IS

O/T

C 4

3/S

C 2

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Dis

cuss

phy

sics

beh

ind

soun

d eq

uatio

ns, c

hara

cter

istic

s of

sou

nd in

var

ious

med

ium

s.

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Des

crib

e hu

man

aud

itory

sys

tem

and

hea

ring

func

tion.

Level of Thinking

(Bloom)




Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Achievement

PSO – 2: Project


PSO – 3: Analyze &

Research

CL

R-3

:

Expr

ess

acou

stic

ech

o in

a m

athe

mat

ical

form

, and

to c

ontro

l or c

ance

l ech

o th

at a

rises

due

to u

sing

va

rious

alg

orith

m.

CL

R-4

:

Sum

mar

ize

the

vario

us ty

pes

of tr

ansd

ucer

s us

ed fo

r aco

ustic

mea

sure

men

ts

CL

R-5

:

Anal

ysis

of t

rans

duce

rs fo

r var

ious

app

licat

ions

of a

cous

tics.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Sum

mar

ize

the

basi

cs o

f ac

oust

ic a

nd t

o pa

raph

rase

the

mec

hani

sm l

ike

Tran

smis

sion

, R

efle

ctio

n,

Abso

rptio

n un

der v

ario

us m

ediu

ms

1,2

80

80

M

-

- -

M

CL

O-2

:

Expl

ain

hum

an a

udito

ry s

yste

m a

nd h

earin

g 1,

2 85

75

M

- -

-

M

H

CL

O-3

:

Illus

trate

aco

ustic

ech

o, n

oise

con

trol a

nd c

ance

l ech

o us

ing

vario

us a

lgor

ithm

s.

2

85

75

H

H

H

-

M

M

H

CL

O-4

:

Dem

onst

rate

var

ious

type

s of

tran

sduc

ers

used

for a

cous

tic m

easu

rem

ents

2

85

80

H

M

M

M

H

M

H

CL

O-5

:

Out

line

on th

e va

rious

app

licat

ions

of a

cous

tics.

2,

3 85

70

H

- -

H

H

M

M

CL

O-6

O

utlin

e sp

eech

pro

cess

ing

anal

ysis

in d

iffer

ent e

nviro

nmen

t 2

85

80

H

M

H

H

H

H

H

M

Du

rati

on

(h

ou

r)

Bas

ics

of

Aco

ust

ic E

ng

inee

rin

g

Au

dit

ory

Sys

tem

an

d H

eari

ng

A

cou

stic

Ech

o a

nd

No

ise

con

tro

l T

ran

sdu

cers

fo

r A

cou

stic

M

easu

rem

ents

A

pp

licat

ion

s o

f A

cou

stic

s

9 9

9 9

9

S-1

S

LO

-1

Intro

duct

ion

to a

cous

tic

Ana

tom

y of

the

audi

tory

sys

tem

s H

uman

Per

cept

ion

of E

choe

s F

unda

men

tal p

rope

rtie

s of

Tra

nsdu

cers

A

rchi

tect

ural

aco

ustic

s –

Sou

nd in

en

clos

ures

SL

O-2

In

trodu

ctio

n to

aco

ustic

A

nato

my

of th

e au

dito

ry s

yste

ms

Hum

an P

erce

ptio

n of

Ech

oes

Fun

dam

enta

l pro

pert

ies

of T

rans

duce

rs

Rev

erbe

ratio

n tim

e

S-2

S

LO

-1

Har

mon

ic P

lane

Wav

es

Phy

siol

ogy

of th

e au

dito

ry s

yste

ms

Ech

o P

robl

em

Con

dens

er M

icro

phon

es

Sou

nd a

bsor

ptio

n m

ater

ials

SL

O-2

H

arm

onic

Pla

ne W

aves

P

hysi

olog

y of

the

audi

tory

sys

tem

s E

cho

Pro

blem

C

onde

nser

Mic

roph

ones

M

easu

rem

ents

of a

cous

tic o

utpu

t in

livin

g ro

oms

S-3

S

LO

-1

Ene

rgy

Den

sity

F

unct

ion

of th

e au

dito

ry s

yste

ms

Ada

ptiv

e F

ilter

s fo

r E

cho

Can

cella

tion

Dyn

amic

Pre

ssur

e M

icro

phon

es

Aco

ustic

Fac

tors

in a

rchi

tect

ural

des

ign

SL

O-2

E

nerg

y D

ensi

ty

Fun

ctio

n of

the

audi

tory

sys

tem

s A

dapt

ive

Filt

ers

for

Ech

o C

ance

llatio

n D

ynam

ic P

ress

ure

Mic

roph

ones

E

nviro

nmen

tal a

cous

tics

– In

trod

uctio

n

S-4

S

LO

-1

Aco

ustic

Inte

nsity

P

hysi

olog

ical

mea

sure

s LM

S al

gorit

hm

Dyn

amic

Pre

ssur

e M

icro

phon

es

Wei

ghte

d so

und

leve

l

SL

O-2

S

peci

fic A

cous

tic Im

peda

nce

Phy

siol

ogic

al m

easu

res

NLM

S al

gorit

hm

Dyn

amic

Pre

ssur

e di

ffere

nce

Mic

roph

one

spee

ch in

terf

eren

ce

S-5

S

LO

-1

Sph

eric

al W

aves

P

hysi

olog

ical

mea

sure

s Le

ast S

quar

es A

lgor

ithm

s D

ynam

ic P

ress

ure

diffe

renc

e M

icro

phon

e H

ighw

ay n

oise

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

0

SL

O-2

S

pher

ical

Wav

es

Aud

itory

pro

cess

ing

mod

els

Leas

t Squ

ares

Alg

orith

ms

Pie

zo c

eram

ic a

ccel

erom

eter

A

ircra

ft no

ise

ratin

g

S-6

S

LO-1

D

ecib

el S

cale

s A

udito

ry p

roce

ssin

g m

odel

s R

ecur

sive

Lea

st S

quar

es A

lgor

ithm

s P

iezo

cer

amic

acc

eler

omet

er

Virt

ual S

ound

--

SLO

-2

; Ray

s an

d W

aves

A

udito

ry p

roce

ssin

g m

odel

s R

ecur

sive

Lea

st S

quar

es A

lgor

ithm

s P

iezo

cer

amic

acc

eler

omet

er

Sou

nd lo

caliz

atio

n cu

es

S-7

0 S

LO-1

T

rans

mis

sion

-Inc

iden

ce

Aud

itory

pro

cess

ing

mod

els

Affi

ne P

roje

ctio

n al

gorit

hm

Lase

r D

oppl

er v

eloc

imet

er

synt

hetic

3D

Aud

io

SLO

-2

Tra

nsm

issi

on-I

ncid

ence

A

udito

ry p

roce

ssin

g m

odel

s A

ffine

Pro

ject

ion

algo

rithm

La

ser

Dop

pler

vel

ocim

eter

sy

nthe

tic 3

D A

udio

S-8

S

LO-1

R

efle

ctio

n S

peec

h In

telli

gibi

lity

Noi

se c

ance

llatio

n us

ing

Affi

ne P

roje

ctio

n al

gorit

hm

Lase

r D

oppl

er v

eloc

imet

er

Sei

smol

ogy-

Sig

nal M

odel

in s

eism

ic

proc

essi

ng

SLO

-2

Abs

orpt

ion

S

peec

h In

telli

gibi

lity

Noi

se c

ance

llatio

n us

ing

Affi

ne P

roje

ctio

n al

gorit

hm

Cap

aciti

ve s

enso

rs

Opt

ical

sen

sor S

igna

l Mod

el in

sei

smic

pr

oces

sing

s

S-9

S

LO-1

V

isco

sity

si

gnal

pro

cess

ing

in h

earin

g ai

ds

Fas

t Affi

ne P

roje

ctio

n A

lgor

ithm

(F

AP

).

Cap

aciti

ve s

enso

rs

Und

erw

ater

and

Oce

anog

raph

ic a

cous

tics

SLO

-2

The

rmal

con

duct

ion

sign

al p

roce

ssin

g in

hea

ring

aids

F

ast A

ffine

Pro

ject

ion

Alg

orith

m (

FA

P)

Cap

aciti

ve s

enso

rs

Inve

rse

Pro

blem

s in

und

erw

ater

aco

ustic

s

Lea

rnin

g

Res

ou

rces

1.

Law

ranc

e E

Kin

sele

r, F

unda

men

tal o

f Aco

ustic

, , W

iley

4th E

ditio

n.

2.

Ste

ven

L. G

ay, J

acob

Ben

esty

, Aco

ustic

Sig

nal P

roce

ssin

g fo

r T

elec

omm

unic

atio

n, S

prin

ger;

20

01 e

ditio

n (M

arch

31,

200

0)

3.

Hav

eloc

k, D

avid

; Kuw

ano,

Son

oko,

Vor

länd

er, M

icha

el (

Eds

.), H

andb

ook

of S

igna

l Pro

cess

ing

in A

cous

tics,

S

prin

ger;

200

8 ed

ition

.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

--

30 %

--

30

%

--

30 %

--

30

%

-- U

nder

stan

d

Leve

l 2

App

ly

40 %

--

40

%

--

40 %

--

40

%

--

40 %

--

A

naly

ze

Leve

l 3

Eva

luat

e 20

%

--

30 %

--

30

%

--

30 %

--

- 30

%

--

Cre

ate

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. S.

Dha

nala

kshm

i, SR

M IS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

Dam

odar

Pan

igra

hy, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

1

Co

urs

e C

od

e 18

EC

E34

3T

Co

urs

e N

ame

Aut

omat

ic S

peec

h R

ecog

nitio

n C

ou

rse

Cat

ego

ry

E Pr

ofes

sion

al E

lect

ive

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

18

ECE2

41J

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Sum

mar

ize

the

basi

c Te

chni

ques

of S

peec

h R

ecog

nitio

n

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Anal

yze

the

diffe

rent

Sta

tistic

al m

odel

s





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Research

CL

R-3

:

Mod

el d

iffer

ent s

peec

h re

cogn

ition

sys

tem

s

CL

R-4

:

Illus

trate

of d

ialo

gue

syst

em d

esig

n

CL

R-5

:

Anal

yze

the

Stoc

hast

ic A

ppro

ache

s to

dia

logu

e

CL

R-6

:

Util

ize

the

conc

epts

in s

igna

l pro

cess

ing

for t

he u

nder

stan

ding

of e

ngin

eerin

g an

d te

chno

logy

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Expr

ess

the

basi

c te

chni

ques

in s

peec

h si

gnal

pro

cess

ing

broa

dly

used

in th

e ar

ea o

f spe

ech

reco

gniti

on

2 75

60

H

- -

- -

- -

- -

- -

- -

- M

C

LO

-2 :

O

utlin

e th

e us

e of

hid

den

Mar

kov

mod

els

can

be u

sed

as g

ener

ativ

e m

odel

s fo

r spe

ech

and

how

they

can

be

train

ed

2 75

60

H

M

- -

- -

- -

- -

- -

M

- H

C

LO

-3 :

D

escr

ibe

com

mer

cial

as

wel

l as

rese

arch

-orie

nted

app

licat

ions

with

in s

peec

h re

cogn

ition

2

75

60

H

-

- H

-

- -

- -

- -

- M

L

M

CL

O-4

:

Sum

mar

ize

the

esse

ntia

ls o

f dia

logu

e sy

stem

des

ign

and

eval

uatio

n 2

75

60

H

H

M

-

- -

- -

- -

- -

M

M

M

CL

O-5

:

Impl

emen

t sim

ple

dial

ogue

sys

tem

s an

d St

ocha

stic

App

roac

hes

2 75

60

H

- H

-

- -

- -

- -

- -

M

M

H

CL

O-6

:

Appl

y th

e sp

eech

reco

gniti

on te

chni

ques

in re

al ti

me

appl

icat

ions

. 2

75

60

H

-

- -

- -

- -

- -

- -

H

L M

Du

rati

on

(h

ou

r)

Dis

tan

ce M

easu

rem

ents

Fo

r C

om

par

ing

S

pee

ch P

atte

rns

Sta

tist

ical

Mo

del

s F

or

Sp

eech

R

eco

gn

itio

n

Arc

hit

ectu

re o

f C

on

tin

uo

us

Sp

eech

R

eco

gn

itio

n S

yste

m

Un

der

stan

din

g o

f S

po

ken

Dia

log

ue

Sys

tem

s N

atu

ral L

ang

uag

e G

ener

atio

n a

nd

S

toch

asti

c P

roce

ss

9 9

9 9

9

S-1

S

LO

-1

Fea

ture

, Fea

ture

Ext

ract

ion

and

Pat

tern

C

ompa

rison

Tec

hniq

ues

Intr

oduc

tion

to P

erce

ptua

l Mot

ivat

ed

Rep

rese

ntat

ions

In

trod

uctio

n to

spe

ech

reco

gniti

on

Sim

ple

mod

els

of d

ialo

gue

stru

ctur

e:

Nat

ural

lang

uage

gen

erat

ion

for

dial

ogue

sy

stem

s

SL

O-2

F

eatu

re, F

eatu

re E

xtra

ctio

n an

d P

atte

rn

Com

paris

on T

echn

ique

s P

erce

ptua

l Mot

ivat

ed R

epre

sent

atio

ns

Intr

oduc

tion

to s

peec

h re

cogn

ition

S

impl

e m

odel

s of

dia

logu

e st

ruct

ure:

N

atur

al la

ngua

ge g

ener

atio

n fo

r di

alog

ue

syst

ems

S-2

S

LO

-1

Spe

ech

Dis

tort

ion

mea

sure

s-M

athe

mat

ical

F

orm

ant F

requ

enci

es –

Rol

e of

Pitc

h –

Pitc

h D

etec

tion

of S

peec

h an

d M

usic

La

rge

voca

bula

ry c

ontin

uous

spe

ech

reco

gniti

on

Tre

es a

nd fi

nite

sta

te a

ppro

ache

s T

ext-

to-s

peec

h sy

nthe

sis

SL

O-2

S

peec

h D

isto

rtio

n m

easu

res-

Mat

hem

atic

al

For

man

t Fre

quen

cies

– R

ole

of P

itch

– P

itch

Det

ectio

n of

Spe

ech

and

Mus

ic

Larg

e vo

cabu

lary

con

tinuo

us s

peec

h re

cogn

ition

T

rees

and

fini

te s

tate

app

roac

hes

Tex

t-to

-spe

ech

synt

hesi

s

S-3

S

LO

-1

Per

pect

ual-L

og s

pect

ral d

ista

nce

Cha

nnel

Voc

oder

s an

d P

redi

ctiv

e C

odin

g S

cala

r W

avef

orm

Cod

ers

Arc

hite

ctur

e of

larg

e vo

cabu

lary

con

tinuo

us

spee

ch r

ecog

nitio

n sy

stem

D

ialo

gue

acts

, key

phr

ase

reac

tive

appr

oach

es

Use

of s

peec

h sy

nthe

size

rs in

dia

logu

e sy

stem

s

SL

O-2

P

erpe

ctua

l-Log

spe

ctra

l dis

tanc

e C

hann

el V

ocod

ers

and

Pre

dict

ive

Cod

ing

Sca

lar

Wav

efor

m C

oder

s A

rchi

tect

ure

of la

rge

voca

bula

ry c

ontin

uous

sp

eech

rec

ogni

tion

syst

em

Dia

logu

e ac

ts, k

ey p

hras

e re

activ

e ap

proa

ches

U

se o

f spe

ech

synt

hesi

zers

in d

ialo

gue

syst

ems

S-4

S

LO

-1

Cep

stra

l Dis

tanc

es, W

eigh

ted

Cep

stra

l di

stan

ces

and

Filt

erin

g S

cala

r F

requ

ency

Dom

ain

Cod

ers

Arc

hite

ctur

e of

larg

e vo

cabu

lary

con

tinuo

us

spee

ch r

ecog

nitio

n sy

stem

In

form

atio

n re

trie

val-b

ased

app

roac

hes

Dia

logu

e sy

stem

eva

luat

ion

SL

O-2

Li

kelih

ood

Dis

tort

ions

C

ode

exci

ted

linea

r P

redi

ctio

n A

rchi

tect

ure

of la

rge

voca

bula

ry c

ontin

uous

sp

eech

rec

ogni

tion

syst

em

Info

rmat

ion

retr

ieva

l-bas

ed a

ppro

ache

s D

ialo

gue

syst

em e

valu

atio

n

S-5

S

LO

-1

Spe

ctra

l dis

tort

ion

usin

g a

War

ped

Fre

quen

cy s

cale

Lo

w –

Bit

rate

Spe

ech

code

rs

Spe

ech

Rec

ogni

tion

Aco

ustic

s m

odel

V

oice

XM

L S

toch

astic

app

roac

hes

to d

ialo

gue

SL

O-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

2

S-6

S

LO

-1

LPC

, PLC

and

MF

CC

Coe

ffici

ents

H

idde

n M

arko

v M

odel

s (H

MM

) –

Pra

ctic

al

Issu

es in

Usi

ng H

MM

s –

HM

M L

imita

tions

La

ngua

ge m

odel

S

peec

h re

cogn

ition

D

ialo

gue

polic

y de

sign

and

trai

ning

SL

O-2

LP

C, P

LC a

nd M

FC

C C

oeffi

cien

ts

Hid

den

Mar

kov

Mod

els

(HM

M)

– P

ract

ical

Is

sues

in U

sing

HM

Ms

– H

MM

Lim

itatio

ns

Lang

uage

mod

el

Spe

ech

reco

gniti

on

Dia

logu

e po

licy

desi

gn a

nd tr

aini

ng

S-7

S

LO

-1

Tim

e A

lignm

ent a

nd N

orm

aliz

atio

n A

cous

tic M

odel

ing

– P

hone

tic M

odel

ing,

La

ngua

ge M

odel

ing

n-gr

am m

odel

U

se o

f spe

ech

reco

gniz

ers

in d

ialo

gue

syst

ems

MD

P r

einf

orce

men

t lea

rnin

g

SL

O-2

T

ime

Alig

nmen

t and

Nor

mal

izat

ion

Aco

ustic

Mod

elin

g –

Pho

netic

Mod

elin

g,

Lang

uage

Mod

elin

g n-

gram

mod

el

Use

of s

peec

h re

cogn

izer

s in

dia

logu

e sy

stem

s M

DP

rei

nfor

cem

ent l

earn

ing

S-8

S

LO-1

D

ynam

ic T

ime

war

ping

S

peak

er R

ecog

nitio

n A

lgor

ithm

co

ntex

t dep

ende

nt s

ub w

ord

units

N

atur

al la

ngua

ge u

nder

stan

ding

P

OM

DP

rei

nfor

cem

ent l

earn

ing

SLO

-2

Dyn

amic

Tim

e w

arpi

ng

Spe

aker

Rec

ogni

tion

Alg

orith

m

cont

ext d

epen

dent

sub

wor

d un

its

Nat

ural

lang

uage

und

erst

andi

ng

PO

MD

P r

einf

orce

men

t lea

rnin

g

S-9

S

LO-1

M

ultip

le T

ime-

Alig

nmen

t Pat

hs

Sig

nal E

nhan

cem

ent f

or M

ism

atch

ed

Con

ditio

ns

App

licat

ions

and

pre

sent

sta

tus

Nat

ural

lang

uage

und

erst

andi

ng

Sim

ulat

ed u

sers

SLO

-2

Mul

tiple

Tim

e-A

lignm

ent P

aths

S

igna

l Enh

ance

men

t for

Mis

mat

ched

C

ondi

tions

A

pplic

atio

ns a

nd p

rese

nt s

tatu

s N

atur

al la

ngua

ge u

nder

stan

ding

S

imul

ated

use

rs

Lea

rnin

g

Res

ou

rces

1.

Hua

ng, A

. Ace

ro, H

-W. H

on, “

Spo

ken

Lang

uage

Pro

cess

ing:

A g

uide

to th

eory

, alg

orith

m a

nd

syst

em d

evel

opm

ent”

, Pre

ntic

e H

all 2

001

2.

Rab

iner

and

Jua

ng, “

Fun

dam

enta

ls o

f Spe

ech

Rec

ogni

tion”

, Pre

ntic

e H

all,

1993

3.

F

. Jel

inek

, “S

tatis

tical

Met

hods

for

Spe

ech

reco

gniti

on”,

MIT

Pre

ss, 1

997

4.

Jura

fsky

, Dan

iel,

and

Jam

es H

. Mar

tin, “

Spe

ech

and

Lang

uage

Pro

cess

ing:

An

Intr

oduc

tion

to N

atur

al

Lang

uage

Pro

cess

ing,

Spe

ech

Rec

ogni

tion,

and

Com

puta

tiona

l Lin

guis

tics”

, 2nd

edi

tion.

Pre

ntic

e-H

all,

2009

. 5.

Jo

kine

n an

d M

cTea

r, “

Spo

ken

Dia

logu

e S

yste

ms,

Mor

gan

& C

layp

ool,

Syn

thes

is L

ectu

res

on H

uman

La

ngua

ge T

echn

olog

ies”

, Mor

gan

& C

layp

ool P

ublis

hers

, 200

9

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40%

-

40%

-

40%

-

40%

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. S.

Dha

nala

kshm

i, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Mrs

. K. H

ariS

udha

, SR

M IS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

3

B. T

ech

in E

lect

ron

ics

and

Co

mm

un

icat

ion

En

gin

eeri

ng

2018

Reg

ula

tio

ns

O

penE

lect

ive

Cou

rses

(O

)

D

epar

tmen

t of E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g S

RM

Inst

itute

of S

cien

ce a

nd T

echn

olog

y S

RM

Nag

ar, K

atta

nkul

athu

r –

6032

03, K

anch

eepu

ram

Dis

tric

t, T

amiln

adu

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

4

Co

urs

e C

od

e 18

EC

O10

1T

Co

urs

e N

ame

Sho

rt R

ange

Wire

less

Com

mun

icat

ion

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

N

il C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/ S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

U

nder

stan

d th

e co

ncep

t of S

hort

ran

ge W

irele

ss C

omm

unic

atio

n

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Ove

rvie

w o

f diff

eren

t mod

ulat

ion

sche

me

and

wire

less

sys

tem

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

To u

nder

stan

d th

e va

rious

com

pone

nts

used

to im

plem

ent a

sho

rt-ra

nge

radi

o sy

stem

.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Anal

ysis

of t

he v

ario

us k

inds

of t

rans

mitt

ers

and

rece

iver

s us

ed fo

r Sho

rt ra

nge

Wire

less

C

omm

unic

atio

n.

CL

R-4

:

To k

now

abo

ut re

gula

tions

and

sta

ndar

ds o

f ISM

ban

d co

mm

unic

atio

ns

CL

R-5

:

Des

ign

and

anal

ysis

of s

hort-

rang

e ra

dio

like

UW

B an

d Vi

sibl

e lig

ht.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

The

pur

pose

of

this

cou

rse

is t

o in

trod

uce

prac

tical

ly a

ll as

pect

s of

rad

io

com

mun

icat

ion

incl

udin

g w

ave

prop

agat

ion,

an

tenn

as,

tran

smitt

ers,

re

ceiv

ers,

des

ign

prin

cipl

es, t

elec

omm

unic

atio

n re

gula

tions

CL

O-1

:

To

cove

r th

e va

rious

form

s of

sig

nals

use

d fo

r in

form

atio

n tr

ansm

issi

on a

nd m

odul

atio

n, a

nd o

vera

ll w

irele

ss s

yste

m p

rope

rtie

s.

2 80

70

L -

- -

- -

- -

- -

- -

- H

-

CL

O-2

:

To

pres

ent v

ario

us c

ompo

nent

type

s th

at c

an b

e us

ed to

impl

emen

t a s

hort

-ran

ge r

adio

sys

tem

. 2

85

75

-

- M

L

- -

- -

- -

- -

H

- -

CL

O-3

:

To

desc

ribe

the

vario

us k

inds

of t

rans

mitt

ers

and

rece

iver

s.

2 75

70

- -

H

M

- -

- -

- -

- -

- H

-

CL

O-4

:

To

cove

rs r

egul

atio

ns a

nd s

tand

ards

of I

SM

ban

d co

mm

unic

atio

ns

2 85

80

M

- -

- -

- -

- -

- -

- M

-

-

CL

O-5

:

To

cove

rs s

ome

of th

e m

ost i

mpo

rtan

t new

dev

elop

men

ts in

sho

rt-r

ange

rad

io li

ke U

WB

and

Vis

ible

ligh

t. 2

85

75

-

- L

M

- -

- -

- -

- -

- -

H

Du

rati

on

(h

ou

r)

Wir

eles

s S

yste

ms

B

aseb

and

Co

din

g b

asic

s R

F t

ran

scei

vers

W

irel

ess

stan

dar

ds

Op

tica

l wir

eles

s T

ech

no

log

ies

9 9

9 9

9

S-1

S

LO

-1

Intro

duct

ion

to w

irele

ss s

yste

ms

Type

s of

Ant

enna

s-D

ipol

e, g

roun

dpla

ne, l

oop

RF

Rec

eive

rs- I

ntro

duct

ion

Tech

nica

l Bac

kgro

und

to th

e W

PAN

C

once

pt -R

egul

atio

n an

d St

anda

rdiz

atio

n Is

sues

Fu

ndam

enta

ls o

f UR

OO

F Te

chno

logi

es

SL

O-2

R

easo

ns fo

r the

Spr

ead

of W

irele

ss

Appl

icat

ions

H

elic

al, P

atch

ant

enna

s R

F So

urce

-Fre

quen

cy c

ontro

l Eu

rope

an C

onso

rtium

: Ove

rvie

w

Con

vers

ion

from

RF

to O

ptic

al D

omai

n

S-2

S

LO

-1

Cha

ract

eris

tics

of S

hort-

rang

e R

adio

An

tenn

a C

hara

cter

istic

s-Im

pede

nce,

di

rect

ivity

and

gai

n, E

ffect

ive

area

M

odul

atio

n ty

pes

Milli

met

er-W

ave

Appl

icat

ions

and

Ser

vice

s - P

AN s

cena

rios

in th

e IS

T M

agne

t pro

ject

C

onve

rsio

n fro

m O

ptic

al to

RF

Dom

ain

SL

O-2

W

irele

ss A

pplic

atio

ns

Pola

rizat

ion,

Ban

dwid

th, A

nten

na fa

ctor

Am

plifi

ers

Ty

pica

l LD

R s

ervi

ces

conn

ecte

d to

the

IST-

FP6

MAG

NET

pro

ject

O

ptic

al M

icro

wav

e M

ixin

g U

sed

for U

WB

Ove

r Sys

tem

s

S-3

S

LO

-1

Elem

ents

of

W

irele

ss

Com

mun

icat

ion

Syst

ems-

Tran

smitt

er

Base

band

Dat

a Fo

rmat

and

Pro

toco

l - R

adio

C

omm

unic

atio

n Li

nk D

iagr

am

Impe

danc

e m

atch

ing

in tr

ansm

itter

and

re

ceiv

ers

Freq

uenc

y R

egul

atio

n an

d St

anda

rdiz

atio

n Is

sues

- O

ptio

nal U

M4

usag

e m

odel

s is

sued

from

the

IEEE

802.

15.3

c TG

In

tegr

ated

UR

OO

F Tr

ansc

eive

r (IU

T)

SL

O-2

El

emen

ts o

f Wire

less

Com

mun

icat

ion

Syst

ems-

Rec

eive

r C

ode

Hop

ping

Fi

lterin

g

Flex

ible

ant

enna

gai

n, 6

0 G

Hz

regu

latio

n st

atus

for w

irele

ss tr

ansm

issi

ons.

M

ixed

Wire

less

-wire

d U

RO

OF

Cha

nnel

,Car

rier-t

o-no

ise

Rat

io

S-4

S

LO

-1

Wire

less

Loc

al A

rea

Net

wor

ks (

WLA

N)-

WIF

I Ba

seba

nd C

odin

g-D

igita

l sys

tem

s SA

W b

and

pass

filte

r mat

chin

g C

hann

el P

ropa

gatio

n C

hara

cter

izat

ion

and

Mod

elin

g- 6

0 G

Hz

Prop

agat

ion

Mea

sure

men

ts

Lase

r and

Pho

tode

tect

or N

oise

Bas

elin

e,

SL

O-2

N

etw

ork

Arch

itect

ure

Wire

less

Mic

roph

one

Syst

em

Tune

d R

adio

Fre

quen

cy (T

RF)

Pr

opag

atio

n C

hann

el C

hara

cter

izat

ion

Clip

ping

Dis

torti

on Im

plic

atio

n , L

aten

cy

S-5

S

LO

-1

Blue

toot

h Tr

ansc

eive

r R

F Fr

eque

ncy

and

Band

wid

th-fa

ctor

s AS

H R

ecei

ver

Mul

tipat

h Pr

opag

atio

n M

odel

ing

Mod

ellin

g th

e Pr

opag

atio

n th

roug

h th

e Fi

bre

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

5

SL

O-2

Bl

ueto

othM

odes

Pr

opag

atio

n ch

arac

teris

tics

Supe

r reg

ener

ativ

e R

ecei

ver –

Bloc

k di

agra

m

Fran

ce T

elec

om P

ropa

gatio

n C

hann

el

Mod

els

Anal

ysis

of U

WB

Tech

nolo

gies

for

UR

OO

F- C

ompa

ring

UW

B Te

chno

logi

es

for R

adio

-ove

r- fib

re

S-6

S

LO

-1

Zigb

ee A

rchi

tect

ure,

Fra

me

Stru

ctur

e M

odul

atio

n ty

pes

Supe

r reg

ener

ativ

e R

ecei

ver –

Ope

ratio

n M

SK-B

ased

Sys

tem

for L

OS

Gb/

s C

omm

unic

atio

ns

MB-

OFD

M O

ver M

ultim

ode

Fibr

e

SL

O-2

Ap

plic

atio

ns a

nd c

onfli

cts

Mod

ulat

ion

for d

igita

l eve

nt c

omm

unic

atio

n Su

per h

eter

odyn

e R

ecei

ver-B

lock

di

agra

m

Syst

em a

rchi

tect

ure

for a

n M

SK-b

ased

sy

stem

to o

pera

te in

a L

OS

chan

nel.

All-o

ptic

al G

ener

atio

n of

Ultr

a-w

ideb

and

Impu

lse

Rad

io

S-7

S

LO

-1

Ultr

a-w

ideb

and

Tech

nolo

gy-B

it Se

quen

ce d

etec

tion

Con

tinuo

us D

igita

l Com

mun

icat

ion

Supe

r het

erod

yne

Rec

eive

r- O

pera

tion

OFD

M-B

ased

Sys

tem

for N

LOS

Gb/

s C

omm

unic

atio

ns

Ope

ratio

n Pr

inci

ples

and

The

oret

ical

Ap

proa

ch

SL

O-2

U

WB

Bloc

k D

iagr

am

Adva

nced

Dig

ital M

odul

atio

n D

irect

Con

vers

ion

Rec

eive

r- Bl

ock

diag

ram

Sy

stem

arc

hite

ctur

e fo

r an

OFD

M-b

ased

sy

stem

to o

pera

te in

a N

LOS

chan

nel.

VLC

Lin

k –T

rans

mitt

er

S-8

S

LO

-1

Wire

less

Mod

ules

-Jap

an,U

K,U

SA

Spre

ad S

pect

rum

-DH

SS

Dire

ct C

onve

rsio

n R

ecei

ver-

Ope

ratio

n Sy

stem

Des

ign

Aspe

cts-

Cha

nnel

Pla

n Th

e VL

C C

hann

el

SL

O-2

W

irele

ss M

odul

es-A

ustri

a, H

oney

wel

l, N

orw

ay

Spre

ad S

pect

rum

-FH

SS

Dig

ital R

ecei

vers

-Sof

twar

e ra

dio

60 G

Hz

Cha

nnel

Cha

ract

eris

tics,

Bas

eban

d M

odul

atio

n: O

FDM

ver

sus

Sing

le C

arrie

r R

ecei

ver,

Mod

ulat

ion

S-9

S

LO

-1

FCC

Reg

ulat

ions

-Ter

ms

and

defin

ition

s R

FID

-tran

scei

ver

Softw

are

radi

o op

erat

ion

60 G

Hz

Anal

og F

ront

-End

Arc

hite

ctur

es

Pote

ntia

l App

licat

ions

SL

O-2

N

omen

clat

ure

for d

efin

ing

Emis

sion

, m

odul

atio

n an

d tra

nsm

issi

on

Des

ign

issu

es fo

r RFI

D

Rep

eate

rs

Mul

tiple

Ant

enna

Tec

hnol

ogie

s C

halle

nges

Lea

rnin

g R

eso

urc

es

1.

Ala

n B

ensk

y, “

Sho

rt r

ange

Wire

less

Com

mun

icat

ions

-Fun

dam

enta

ls o

f RF

sys

tem

des

ign

and

App

licat

ions

”,

Els

evie

r In

c, 2

004

2.

Ant

ti V

. Rai

sane

n, A

rto

Leht

o, “

Rad

io e

ngin

eerin

g fo

r w

irele

ss c

omm

unic

atio

n an

d se

nsor

app

licat

ions

”,

Art

ech

Hou

se, 2

003

3.

Rol

f Kra

emer

and

Mar

cos

Kat

z, “

Sho

rt-r

ange

wire

less

com

mun

icat

ions

em

ergi

ng te

chno

logi

es a

nd

appl

icat

ions

”, W

iley

WW

RF

ser

ies,

Mar

ch 2

009

4.

Shl

omi A

rnon

, Joh

n B

arry

, Geo

rge

Kar

agia

nnid

is, R

ober

t Sch

ober

, Mur

at U

ysal

, “A

dvan

ced

Opt

ical

Wire

less

C

omm

unic

atio

n S

yste

ms”

, C

ambr

idge

Uni

vers

ity P

ress

, 201

2

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. J.

Sub

hash

ini,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

6

Co

urs

e C

od

e 18

EC

0102

J C

ou

rse

Nam

e E

lect

roni

c C

ircui

ts a

nd S

yste

ms

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/ Sta

nd

ard

s

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Prov

ide

a ba

sis

for u

nder

stan

ding

sem

icon

duct

or m

ater

ial,

how

a p

n ju

nctio

n is

form

ed a

nd it

s pr

inci

ple

of

oper

atio

n

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Des

crib

e th

e ba

sic

stru

ctur

e, o

pera

tion

and

char

acte

ristic

s of

tran

sist

ors

BJTs

and

FET

s, a

nd d

iscu

ss th

eir u

se

as a

sw

itch

and

an a

mpl

ifier





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Lear

n th

e ba

sics

of o

p-am

p: th

e pr

inci

ple,

ope

ratio

n, c

hara

cter

istic

s an

d fu

ndam

enta

lly im

porta

nt c

ircui

ts

CL

R-4

:

Des

crib

e an

d an

alyz

e th

e ba

sic

oper

atio

n of

sin

usoi

dal o

scilla

tors

and

use

a 5

55 T

imer

in a

n os

cilla

tor

appl

icat

ion.

CL

R-5

:

Lear

n th

e fu

ndam

enta

ls o

f ana

log

and

digi

tal c

omm

unic

atio

n, n

etw

orki

ng, r

adio

tran

smis

sion

and

mob

ile

tele

phon

es

CL

R-6

:

Enco

urag

e th

e le

arne

r to

asse

mbl

e an

d te

st re

al c

ircui

ts in

the

labo

rato

ry

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Und

erst

and

the

oper

atio

n, c

hara

cter

istic

s, p

aram

eter

s an

d sp

ecifi

catio

ns o

f sem

icon

duct

or d

iode

s an

d de

mon

stra

te

its im

porta

nt a

pplic

atio

ns

1 80

70

L L

- -

- -

- -

- -

- -

- -

-

CL

O-2

:

Rev

iew

the

trans

isto

r (BJ

T &

FET)

con

stru

ctio

n, o

pera

tion,

cha

ract

eris

tics

and

para

met

ers,

as

wel

l as

its a

pplic

atio

n in

am

plifi

catio

n an

d sw

itchi

ng.

1 80

70

L L

- -

- -

- -

- -

- -

- -

-

CL

O-3

:

Iden

tify

diffe

rent

con

figur

atio

ns o

f op-

amp

anal

yze

the

para

met

ers

of o

p-am

p an

d ob

serv

e th

e fre

quen

cy re

spon

se o

f ope

ratio

nal-a

mpl

ifier

. 1

80

70

L

L -

- -

- -

- -

- -

- -

- -

CL

O-4

:

Und

erst

and

& de

mon

stra

te d

iffer

ent a

pplic

atio

ns b

ased

on

oper

atio

nal-a

mpl

ifier

and

spe

cial

line

ar IC

s 1

80

70

L

L -

- -

- -

- -

- -

- -

- -

CL

O-5

:

Und

erst

and

the

basi

c co

ncep

ts a

nd te

chni

ques

of t

elec

omm

unic

atio

n sy

stem

s an

d ne

twor

ks

1 80

70

L L

- -

- -

- -

- -

- -

- -

-

CL

O-6

:

Und

erst

and

how

circ

uit b

ehav

ior c

an b

e st

udie

d w

ith a

com

pute

r, us

ing

a ci

rcui

t sim

ulat

ion

softw

are

2 90

80

- -

H

- H

-

- -

- L

- M

L

- -

L

earn

ing

Un

it /

Mo

du

le 1

(1

2)

Lea

rnin

g U

nit

/ M

od

ule

2

(12)

L

earn

ing

Un

it /

Mo

du

le 3

(1

2)

Lea

rnin

g U

nit

/ M

od

ule

4

(12)

L

earn

ing

Un

it /

Mo

du

le 5

(1

2)

Du

rati

on

(h

ou

r)

Act

ive

Dis

cret

e C

om

po

nen

ts &

Cir

cuit

s –

I A

ctiv

e D

iscr

ete

Co

mp

on

ents

& C

ircu

its

– II

Lin

ear

Inte

gra

ted

Cir

cuit

s O

scill

ato

rs a

nd

Tim

ers

Tel

eco

mm

un

icat

ion

s

S-1

S

LO

-1

Con

duct

ion

in s

emic

ondu

ctor

s JF

ETs:

Stru

ctur

e &

Ope

ratio

n In

trodu

ctio

n to

Op-

amp

RC

Pha

se-S

hift

osc

illato

r Ope

ratio

n An

alog

& D

igita

l Com

mun

icat

ion:

Sta

ges

in te

leco

mm

unic

atio

n sy

stem

s S

LO

-2

Con

duct

ion

in d

iode

s C

hara

cter

istic

s &

Para

met

ers

Basi

c op

-am

p an

d its

cha

ract

eris

tics

& D

esig

n C

arrie

rs a

nd M

odul

atio

n

S-2

S

LO

-1

Basi

c op

erat

ion

of P

N ju

nctio

n di

ode

JFET

Bia

sing

(Vol

tage

-Div

ider

Bia

sing

) op

-am

p m

odes

W

ein

brid

ge O

scilla

tor o

pera

tion

Car

riers

and

Mod

ulat

ion

SL

O-2

VI

Cha

ract

eris

tics

of d

iode

C

S-JF

ET A

mpl

ifier

ope

ratio

n pa

ram

eter

s &

Des

ign

Puls

e M

odul

atio

n

S-3

S

LO

-1

Lab

-1:

VI C

har

acte

rist

ics

of

PN

Ju

nct

ion

Dio

de

Lab

-4:

Des

ign

& A

nal

ysis

of

CE

BJT

A

mp

lifie

r L

ab-7

: N

egat

ive

Fee

db

ack

op

-am

p

circ

uit

s L

ab-1

0: A

nal

ysis

& D

esig

n o

f R

C

Osc

illat

ors

L

ab-1

3: D

emo

nst

rati

on

of

AM

& F

M

SL

O-2

S-4

S

LO

-1

SL

O-2

S-5

S

LO

-1

Appl

icat

ions

of d

iode

: HW

R &

FW

R

MO

SFET

s: S

truct

ure

Op-

amp

circ

uits

: Sca

le c

hang

er, a

dder

, su

btra

ctor

LC

osc

illato

rs o

pera

tion:

Har

tley

Osc

illato

r Pu

lse

Mod

ulat

ion

SL

O-2

C

lippe

rs &

Cla

mpe

rs

Ope

ratio

n H

WR

& F

WR

C

olpi

tts O

scilla

tor

Dig

ital T

rans

mis

sion

, Fre

quen

cy D

ivis

ion

Mul

tiple

xing

Tim

e D

ivis

ion

Mul

tiple

xing

S-6

S

LO

-1

Basi

c op

erat

ion

of Z

ener

dio

de a

nd it

s VI

ch

arac

teris

tics

Cha

ract

eris

tics

Clip

per &

Cla

mpe

r 55

5 Ti

mer

IC: B

asic

Ope

ratio

n N

etw

orks

: RS-

232,

circ

uit s

witc

hing

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

7

SL

O-2

Ze

ner d

iode

as

a vo

ltage

regu

lato

r Pa

ram

eter

s Lo

g &

Antil

og a

mpl

ifier

s As

tabl

e O

pera

tion

Mes

sage

sw

itchi

ng, T

CP/

IP

S-7

S

LO

-1

Lab

-2:

VI C

har

acte

rist

ics

of

Zen

er

Dio

de

Lab

-5:

Des

ign

& A

nal

ysis

of

CS

-JF

ET

A

mp

lifie

r L

ab-8

: O

p-a

mp

Cir

cuit

s-I

Lab

-11:

555

Tim

er O

per

atio

n &

A

pp

licat

ion

s L

ab-1

4: D

emo

nst

rati

on

of

Pu

lse

Mo

du

lati

on

S

LO

-2

S-8

S

LO

-1

SL

O-2

S-9

S

LO

-1

BJTs

: Stru

ctur

e &

Ope

ratio

n M

OSF

ET a

s an

am

plifi

er

Inst

rum

enta

tion

ampl

ifier

M

onos

tabl

e O

pera

tion

Rad

io T

rans

mis

sion

: Ele

ctro

mag

netic

Sp

ectru

m, g

roun

d w

aves

, sky

wav

es

SL

O-2

C

hara

cter

istic

s &

Para

met

ers

MO

SFET

as

a sw

itch

Com

para

tor

Appl

icat

ions

of 5

55 T

imer

an

tenn

as, d

irect

iona

l tra

nsm

issi

ons,

S-1

0 S

LO

-1

CE

BJT

ampl

ifier

ope

ratio

n M

OSF

ET B

iasi

ng (V

olta

ge-D

ivid

er

Bias

ing)

C

ompa

rato

r app

licat

ions

Ap

plic

atio

ns o

f 555

Tim

er

Tran

smitt

ers,

Rec

eive

rs

SL

O-2

D

iffer

entia

l am

plifi

er o

pera

tion

CS-

MO

SFET

am

plifi

er o

pera

tion

Schm

itt tr

igge

r Vo

ltage

-Con

trolle

d O

scilla

tors

M

obile

tele

phon

es

S-1

1 S

LO

-1

Lab

-3:

Ap

plic

atio

ns

of

PN

Ju

nct

ion

d

iod

e an

d Z

ener

dio

de

Lab

-6:

Des

ign

& A

nal

ysis

of

CS

-M

OS

FE

T A

mp

lifie

r L

ab-9

: O

p-a

mp

Cir

cuit

s-II

Lab

-12:

VC

O O

per

atio

n

Min

i Pro

ject

/ M

od

el P

ract

ical

E

xam

inat

ion

S

LO

-2

S-1

2 S

LO

-1

SL

O-2

Lea

rnin

g

Res

ou

rces

1.

Ow

en B

isho

p, “E

lect

roni

c C

ircui

ts a

nd S

yste

ms”

, 4th

edi

tion,

Els

evie

r, 20

11.

2.

Har

ry K

ybet

t, Ea

rl Bo

ysen

, “Al

l New

Ele

ctro

nics

”, 3r

d ed

ition

, Wile

y, 2

008.

3.

Paul

Sch

erz,

“Pra

ctic

al E

lect

roni

cs fo

r Inv

ento

rs”,

McG

raw

-Hill,

200

0.

L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. M

r. M

anik

anda

n AV

M, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

Raj

esh

Agar

wal

, SR

M IS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

8

Co

urs

e C

od

e 18

EC

O10

3T

Co

urs

e N

ame

Mo

der

n W

irel

ess

Co

mm

un

icat

ion

Sys

tem

C

ou

rse

Cat

ego

ry

O

Ope

n El

ectiv

e L

T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

N

il C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Lear

n to

ana

lyze

the

trans

mis

sion

of v

ario

us w

irele

ss c

omm

unic

atio

n sy

stem

s

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

fund

amen

tals

of v

ario

us n

etw

orks

in w

irele

ss c

omm

unic

atio

n





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Und

erst

and

the

tech

niqu

es in

volv

ed in

per

sona

l com

mun

icat

ion

serv

ices

.

C

LR

-4 :

In

trodu

ce v

ario

us w

irele

ss s

yste

ms

for 3

G a

nd fu

ture

com

mun

icat

ion

CL

R-5

:

Lear

n to

ana

lyze

wire

less

net

wor

ks fo

r sho

rt ra

nge

com

mun

icat

ion

CL

R-6

:

Und

erst

and

the

Fund

amen

tals

, Tec

hniq

ues

and

Net

wor

ks o

f Wire

less

Com

mun

icat

ion

Syst

ems

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Dis

cuss

the

fund

amen

tals

of t

rans

mis

sion

in w

irele

ss s

yste

ms

2,3

80

75

-

- -

H

- -

- -

- -

- -

H

CL

O-2

:

Pro

vide

an

over

view

of v

ario

us a

ppro

ache

s to

com

mun

icat

ion

netw

orks

2,

3 80

85

- -

- H

-

- -

- -

- -

- -

- H

C

LO

-3 :

S

tudy

the

num

erou

s di

ffere

nt-g

ener

atio

n te

chno

logi

es w

ith th

eir

indi

vidu

al p

ros

and

cons

2,

3 85

85

- -

- H

-

- -

- -

- -

- M

-

H

CL

O-4

:

Dis

cuss

abo

ut t

he p

rinci

ples

of

oper

atio

n of

the

diff

eren

t ac

cess

tec

hnol

ogie

s lik

e F

DM

A,

TD

MA

, S

DM

A a

nd C

DM

A a

nd

thei

r pr

os a

nd c

ons.

2,

3 85

80

- -

- H

-

- -

- -

- -

- M

-

H

CL

O-5

:

Lear

n ab

out t

he v

ario

us m

obile

dat

a se

rvic

es a

nd s

hort

ran

ge n

etw

orks

. 2,

3 85

80

- -

- -

- -

- -

- -

- -

- -

H

CL

O-6

:

Gai

n kn

owle

dge

on F

unda

men

tals

, Tec

hniq

ues

and

Net

wor

ks o

f Wire

less

Com

mun

icat

ion

Syst

ems

2,3

85

80

-

- -

- -

- -

- -

- -

- H

-

-

Du

rati

on

(h

ou

r)

Tra

nsm

issi

on

Fu

nd

amen

tals

Net

wo

rk C

on

cep

ts

Per

son

al C

om

mu

nic

atio

n S

ervi

ces

3G a

nd

Bey

on

d

Mo

bile

Dat

a S

ervi

ces

and

Sh

ort

- R

ang

e N

etw

ork

9 9

9 9

9

S-1

S

LO

-1

Cel

lpho

ne G

ener

atio

ns

Com

mun

icat

ion

Net

wor

ks

Pers

onal

com

mun

icat

ion

Intro

duct

ion,

H

SCSD

, GPR

S, D

-AM

PS, C

DM

A O

ne,

CD

MA

Two,

Pac

ket D

ata

Syst

ems

3G In

trodu

ctio

n

Mob

ile

Dat

a Se

rvic

es

Intro

duct

ion

Mes

sagi

ng,

wire

less

w

eb,

WAP

, si

te

desi

gn

Shor

t-Ran

ge

Wire

less

N

etw

orks

: U

nlic

ense

d sp

ectru

m,

WLA

Ns,

co

rdle

ss

tele

phon

y, I

rDA,

Blu

etoo

th S

mar

t Ph

ones

: Fu

ture

pho

nes,

mob

ile O

Ss,

smar

t ph

one

appl

icat

ions

.

SL

O-2

1G

and

2G

LAN

s G

SM

IMT-

2000

Intro

duct

ion

Dat

a Se

rvic

es

S-2

S

LO

-1

2.5G

M

ANs

GSM

IM

T-20

00

Mes

sagi

ng

SL

O-2

3G

W

ANs

HSC

SD

IMT-

2000

W

irele

ss w

eb

S-3

S

LO

-1

4G T

rans

mis

sion

Intro

duct

ion

Circ

uit s

witc

hing

H

SCSD

W

-CD

MA

Intro

duct

ion

WAP

SL

O-2

4G

Tra

nsm

issi

on F

unda

men

tals

Pack

et s

witc

hing

G

PRS

W-C

DM

A Si

te d

esig

n

S-4

S

LO

-1

Tim

e do

mai

n co

ncep

ts

ATM

Cel

lula

r Net

wor

ks In

trodu

ctio

n G

PRS

CD

MA

2000

Intro

duct

ion

Shor

t-Ran

ge W

irele

ss N

etw

orks

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

11

9

SL

O-2

Fr

eque

ncy

dom

ain

conc

epts

Cel

ls

D-A

MPS

ED

GE

Unl

icen

sed

spec

trum

S

5-6

SL

O-1

R

adio

Med

ia

Dup

lexi

ng

D-A

MPS

ED

GE

WLA

Ns

SL

O-2

S-7

S

LO

-1

Anal

og V

s D

igita

l M

ultip

lexi

ng

CD

MA

Intro

duct

ion

Wi-F

i Int

rodu

ctio

n

Cor

dles

s te

leph

ony

SL

O-2

C

hann

el c

apac

ity

Voic

e co

ding

C

DM

A O

ne

Wi-F

i IrD

A

S-8

S

LO

-1

Tran

smis

sion

med

ia

Mul

tiple

Acc

ess

Tech

niqu

es: F

DM

A C

DM

A O

ne

WiM

AX In

trodu

ctio

n Bl

ueto

oth

Smar

t Pho

nes

SL

O-2

Si

gnal

ing

Sche

mes

TD

MA,

SD

MA

CD

MA

Two

WiM

AX

Futu

re p

hone

s

S-9

S

LO

-1

Car

rier-b

ased

sig

nalin

g,

CD

MA

CD

MA

Two

OFD

M

M

obile

OSs

SL

O-2

Sp

read

-spe

ctru

m s

igna

ling

Spec

tral e

ffici

ency

Pa

cket

Dat

a Sy

stem

s M

IMO

Smar

t pho

ne a

pplic

atio

ns

Lea

rnin

g

Res

ou

rces

1.

Sim

on H

ayki

n, D

avid

Koi

lpill

ai,

Mic

hael

Moh

er,”

Mod

ern

Wire

less

Com

mun

icat

ion”

, 1/

e,

Pea

rson

Edu

catio

n, 2

011

2.

Rap

papo

rt T

.S,

“Wire

less

Com

mun

icat

ions

: P

rinci

ples

and

Pra

ctic

e”,

2nd

editi

on,

Pea

rson

ed

ucat

ion.

3.

A

ndre

a G

olds

mith

, “W

irele

ss C

omm

unic

atio

ns”,

Cam

brid

ge U

nive

rsity

Pre

ss, A

ug. 2

005.

4.

A

ndy

Dor

nan,

“T

he e

ssen

tial

guid

e to

wire

less

com

mun

icat

ions

app

licat

ions

: fr

om c

ellu

lar

syst

ems

to W

i-Fi”,

2nd

Edi

tion,

Pre

ntic

e H

all,

2002

5.

Ian

F.A

kyild

iz, D

avid

M. G

utie

rrez

Est

evez

, and

Elia

s C

hava

rria

Rey

es, “

The

evo

lutio

n of

4G

cel

lula

r sy

stem

s:

LTE

adv

ance

d”, P

hysi

cal c

omm

unic

atio

n, V

olum

e 3,

No.

4, p

p. 2

17-2

98, D

ec. 2

010

6.

Will

iam

Sta

lling

s, “

Wire

less

Com

mun

icat

ion

& N

etw

orki

ng”,

Pea

rson

Edu

catio

n A

sia,

200

4 7.

A

ndre

a .F

.Mol

isch

, “W

irele

ss c

omm

unic

atio

ns”,

2nd

edi

tion,

Wile

y P

ublic

atio

ns.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. Sa

bith

a G

auni

, SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

0

Co

urs

e C

od

e 18

EC

O10

4J

Co

urs

e N

ame

Aud

io a

nd S

peec

h S

igna

l Pro

cess

ing

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

To e

xplo

re a

bout

Spe

ech

sign

al p

roce

ssin

g

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

To e

xplo

re a

bout

the

hum

an a

udito

ry s

yste

m

Level of Thinking (Bloom) Expected Proficiency

(%)



Problem Analysis


Analysis, Design,

Research

Modern Tool Usage

Society & Culture

Environment &

Sustainability

Ethics


Communication


Life Long Learning


Achievement

PSO – 2: Project


PSO – 3: Analyze

&Research

CL

R-3

:

Feat

ure

Extra

ctio

n of

Spe

ech

sign

al u

sing

Tim

e ch

arac

teris

tics

CL

R-4

:

Freq

uenc

y ch

arac

teris

tics

of S

peec

h si

gnal

CL

R-5

:

Prov

ide

a fo

unda

tion

for d

evel

opin

g ap

plic

atio

ns in

this

fiel

d.

CL

R-6

:

Und

erst

and

the

conc

ept o

f spe

ech

proc

essi

ng b

oth

in ti

me

and

frequ

ency

dom

ain

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Und

erst

and

the

func

tioni

ng o

f the

hum

an v

ocal

and

aud

itory

sys

tem

s in

term

s of

sig

nal p

roce

ssin

g

1 90

68

H

H

H

-

- -

- M

H

CL

O-2

:

Anal

yze

the

func

tion

of fe

atur

e ex

tract

ion

in s

peec

h an

d au

dio

sign

al p

roce

ssin

g us

ing

Tim

e D

omai

n C

hara

cter

istic

s 2

85

67

H

H

M

- -

- -

M

H

CL

O-3

:

Und

erst

and

the

frequ

ency

cha

ract

eris

tics

of s

peec

h si

gnal

2

85

68

H

H

M

M

-

- -

-

H

H

CL

O-4

:

Und

erst

and

the

Dig

ital m

odel

s fo

r spe

ech

sign

al

1&2

85

65

H

H

H

- -

- -

H

M

CL

O-5

:

Und

erst

and

the

elem

ents

of m

usic

2&

3 85

66

H

H

H

-

- -

- H

H

CL

O-6

: U

nder

stan

d Sp

eech

sig

nal p

roce

ssin

g in

tim

e an

d fre

quen

cy d

omai

n an

d th

eir m

odel

s.

1,2,

3 85

68

H

H

M

H

- -

- -

M

M

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Bas

ic A

ud

io P

roce

ssin

g

Lea

rnin

g U

nit

/ M

od

ule

2

Hu

man

au

dit

ory

sys

tem

Lea

rnin

g U

nit

/ M

od

ule

3

Sp

eech

Sig

nal

An

alys

is in

Tim

e D

om

ain

Lea

rnin

g U

nit

/ M

od

ule

4

Sp

eech

Sig

nal

An

alys

is in

Fre

qu

ency

D

om

ain

Lea

rnin

g U

nit

/ M

od

ule

5

Sp

eech

an

d A

ud

io p

roce

ssin

g

app

licat

ion

s

12

12

12

12

12

S-1

S

LO-1

In

trodu

ctio

n to

Dig

ital a

udio

H

uman

aud

itory

sys

tem

Sp

eech

sig

nal a

naly

sis

Shor

t Tim

e Fo

urie

r ana

lysi

s In

trodu

ctio

n to

Spe

ech

reco

gniti

on

SLO

-2

Cap

turin

g an

d co

nver

ting

soun

d H

uman

aud

itory

sys

tem

Sp

eech

sig

nal a

naly

sis

Shor

t Tim

e Fo

urie

r ana

lysi

s In

trodu

ctio

n to

Spe

ech

reco

gniti

on

S-2

S

LO-1

Sa

mpl

ing

of s

ound

wav

e si

mpl

ified

mod

el o

f coc

hlea

Se

gmen

tal,

sub-

segm

enta

l lev

els

Filte

r ban

k an

alys

is

Com

plet

e sy

stem

for a

n is

olat

ed w

ord

reco

gniti

on w

ith v

ecto

r qua

ntiz

atio

n /D

TW

SLO

-2

Han

dlin

g au

dio

in M

ATLA

B si

mpl

ified

mod

el o

f coc

hlea

Su

pras

egm

enta

l lev

els

Fo

rman

t ext

ract

ion

and

Pitc

h ex

tract

ion

Com

plet

e sy

stem

for a

n is

olat

ed w

ord

reco

gniti

on w

ith v

ecto

r qua

ntiz

atio

n /D

TW

S-3

S

LO-1

L

ab 1

: R

ead

& w

rite

a s

pee

ch s

ign

al,

Rec

ord

a s

pee

ch s

ign

al, p

layb

ack,

co

nve

rt in

to a

wav

e fi

le, p

lot

the

spee

ch s

ign

al, a

nd

sp

ectr

og

ram

plo

t.

Lab

4:

Sh

ort

-ter

m e

ner

gy

of

a sp

eech

si

gn

al

Lab

7:

Est

imat

ion

of

pit

ch p

erio

d u

sin

g

sim

plifi

ed in

vers

e fi

lter

tra

ckin

g (

SIF

T)

alg

ori

thm

Lab

10:

Ph

on

eme-

leve

l seg

men

tati

on

o

f sp

eech

Lab

13:

Co

mp

ute

pit

ch p

erio

d a

nd

fu

nd

amen

tal f

req

uen

cy f

or

spee

ch

sig

nal

SLO

-2

S-4

S

LO-1

SLO

-2

S-5

S

LO-1

N

orm

aliz

atio

n

Soun

d pr

essu

re le

vel a

nd lo

udne

ss

Tim

e do

mai

n pa

ram

eter

s of

spe

ech

sign

al

Hom

omor

phic

spe

ech

anal

ysis

C

ompl

ete

syst

em fo

r spe

aker

id

entif

icat

ion,

ver

ifica

tion

SLO

-2

Audi

o pr

oces

sing

So

und

pres

sure

leve

l and

loud

ness

Ti

me

dom

ain

para

met

ers

of s

peec

h si

gnal

C

epst

ral a

naly

sis

of S

peec

h In

trodu

ctio

n to

spe

ech

enha

ncem

ent

S-6

S

LO-1

Se

gmen

tatio

n So

und

inte

nsity

and

Dec

ibel

sou

nd le

vels

M

etho

ds fo

r ext

ract

ing

the

para

met

ers

Ener

gy

Form

ant a

nd P

itch

Estim

atio

n In

trodu

ctio

n to

spe

ech

enha

ncem

ent

SLO

-2

Anal

ysis

of w

indo

w s

izin

g So

und

inte

nsity

and

Dec

ibel

sou

nd le

vels

Av

erag

e ,M

agni

tude

Li

near

Pre

dict

ive

anal

ysis

of s

peec

h Sp

eech

enh

ance

men

t usi

ng s

pect

ral

subt

ract

ion

met

hod

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

1

S-7

S

LO-1

Lab

2:

Co

nve

rt in

to a

wav

e fi

le, p

lot

the

spee

ch s

ign

al, a

nd

sp

ectr

og

ram

plo

t L

ab 5

: S

ho

rt-t

ime

Fo

uri

er t

ran

sfo

rm

mag

nit

ud

e sp

ectr

um

Lab

8:

Est

imat

ion

of

pit

ch p

erio

d u

sin

g

har

mo

nic

pro

du

ct s

pec

tru

m

Lab

11:

To

stu

dy

the

qu

anti

zati

on

an

d

alia

sin

g e

ffec

t o

f sp

eech

sig

nal

L

ab 1

4: S

ho

rt t

erm

sp

eech

an

alys

is

SLO

-2

S-8

S

LO-1

SLO

-2

S-9

S

LO-1

Vi

sual

izat

ion

Con

cept

of c

ritic

al b

and

Zero

cro

ssin

g R

ate

Auto

corre

latio

n m

etho

d, C

ovar

ianc

e m

etho

d In

trodu

ctio

n to

Tex

t to

spee

ch c

onve

rsio

n

SLO

-2

Soun

d ge

nera

tion

Uni

form

filte

r ban

k , N

on- u

nifo

rm fi

lter

bank

Si

lenc

e D

iscr

imin

atio

n us

ing

ZCR

and

en

ergy

So

lutio

n of

LPC

equ

atio

ns

Intro

duct

ion

to M

usic

al in

stru

men

t cl

assi

ficat

ion

S-1

0 S

LO-1

Sp

eech

pro

duct

ion

mec

hani

sm, C

haris

tics

of s

peec

h M

el s

cale

and

bar

k sc

ale,

Sh

ort T

ime

Auto

Cor

rela

tion

Func

tion

Dur

bin’

s R

ecur

sive

alg

orith

m, A

pplic

atio

n of

LPC

par

amet

ers

Mus

ical

Info

rmat

ion

retri

eval

.

SLO

-2

Und

erst

andi

ng o

f spe

ech

Spee

ch p

erce

ptio

n: v

owel

per

cept

ion

Pitc

h pe

riod

estim

atio

n us

ing

Auto

C

orre

latio

n Fu

nctio

n Pi

tch

dete

ctio

n us

ing

LPC

par

amet

ers,

Fo

rman

t ana

lysi

s Sa

mpl

e Pr

ogra

ms

S-1

1 S

LO-1

Lab

3:C

epst

rum

sm

oo

thed

mag

nit

ud

e sp

ectr

um

Lab

6:

(i)L

inea

r p

red

icti

on

mag

nit

ud

e sp

ectr

um

, (i

i) (

ii) E

stim

atio

n o

f fo

rman

t fr

equ

enci

es u

sin

g li

nea

r p

red

icti

on

Lab

9:

Pit

ch a

nd

du

rati

on

mo

difi

cati

on

u

sin

g t

ime-

do

mai

n p

itch

syn

chro

no

us

ove

rlap

an

d a

dd

(T

D-P

SO

LA

) m

eth

od

Lab

12:

: S

pee

ch s

ign

al t

o s

ymb

ol

tran

sfo

rmat

ion

usi

ng

wav

esu

rfer

L

ab 1

5: S

tud

y o

f P

raat

S

LO-2

S-1

2 S

LO-1

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

Ian

McL

augh

lin, “

Appl

ied

Spee

ch a

nd A

udio

pro

cess

ing,

with

MAT

LAB

exam

ples

”, 1st

Edi

tion,

C

ambr

idge

Uni

vers

ity P

ress

, 200

9 2.

Be

n G

old,

Nel

son

Mor

gan,

Dan

Ellis

, Wile

y, “S

peec

h an

d Au

dio

Sign

al P

roce

ssin

g: P

roce

ssin

g an

d Pe

rcep

tion

of S

peec

h an

d M

usic

”, 2n

d Ed

ition

, Joh

n W

iley

& So

ns, 0

1-N

ov-2

011.

3.

Rab

iner

,B.H

.Jua

ng, “

Fund

amen

tals

of S

peec

h R

ecog

nitio

n”, 2

nd

Editi

on, P

rent

ice-

hall

Sign

al P

roce

ssin

g Se

ries,

Apr

il 19

93

4.

Ken

Pohl

man

n, “P

rinci

ples

of D

igita

l Aud

io”,

6th

Editi

on, M

cGra

w-H

ill, 2

007

5.

A.R

.Jay

an, “

Spee

ch a

nd A

udio

Sig

nal P

roce

ssin

g”, I

SBN

: 97

8-81

-203

-525

6-8,

PH

I Lea

rnin

g P

vt. L

td, 2

016.

Lea

rnin

g A

sses

smen

t

B

loo

m’s

Lev

el o

f T

hin

kin

g

Co

nti

nu

ou

s L

earn

ing

Ass

essm

ent

(50%

wei

gh

tag

e)

Fin

al E

xam

inat

ion

(50

% w

eig

hta

ge)

C

LA

– 1

(10

%)

CL

A –

2 (

15%

) C

LA

– 3

(15

%)

CL

A –

4 (

10%

)#

Th

eory

P

ract

ice

Th

eory

P

ract

ice

Th

eory

P

ract

ice

Th

eory

P

ract

ice

Th

eory

P

ract

ice

Lev

el 1

R

emem

ber

20%

20

%

15%

15

%

15%

15

%

15%

15

%

15%

15

%

Und

erst

and

Lev

el 2

A

pply

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

A

naly

ze

Lev

el 3

E

valu

ate

10%

10

%

15%

15

%

15%

15

%

15%

15

%

15%

15

%

Cre

ate

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA

– 4

can

be

fro

m a

ny

com

bin

atio

n o

f th

ese:

Ass

ign

men

ts, S

emin

ars,

Tec

h T

alks

, Min

i-P

roje

cts,

Cas

e-S

tud

ies,

Sel

f-S

tud

y, M

OO

Cs,

Cer

tifi

cati

on

s, C

on

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

S. D

hana

laks

hmi,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Mrs

. K. H

aris

udha

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

2

Co

urs

e C

od

e 18

EC

O10

5T

Co

urs

e N

ame

Und

erw

ater

Aco

ustic

s C

ou

rse

Cat

ego

ry

O

O

pen

Ele

ctiv

e

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

andw

hat i

s So

und

Nav

igat

ion

and

Ran

ging

(SO

NAR

) and

how

it c

an b

e us

ed in

und

erw

ater

app

licat

ions

.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Stud

y ab

outO

cean

Aco

ustic

Pro

cess

ing

and

sou

nd w

ave

prop

agat

ion

and

anal

yze

sea

floor

cha

ract

eris

tics

and

ocea

n so

unds

.





Problem Analysis



Modern Tool Usage

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Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Und

erst

and

abou

t Und

erw

ater

reve

rber

atio

n an

d ho

w ty

pes

of n

oise

s af

fect

s th

e un

derw

ater

aco

ustic

s si

gnal

dat

a an

alys

is.

CL

R-4

:

Stud

y ab

outA

cous

tic tr

ansd

ucer

s.

CL

R-5

:

Know

whi

ch tr

ansd

ucer

s ca

n be

use

d fo

r und

erw

ater

app

licat

ions

.

CL

R-6

:

Und

erst

and

the

basi

c th

eory

and

sig

nal p

roce

ssin

g ap

plic

atio

n fo

r und

erw

ater

com

mun

icat

ion

and

navi

gatio

n.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Acqu

ire in

-dep

th k

now

ledg

e an

d an

alyz

e on

Sou

nd N

avig

atio

n an

d R

angi

ng (S

ON

AR) e

quat

ions

and

it c

hara

cter

istic

s.

L1

85

65

M

-

- -

- -

- -

- -

- M

L

CL

O-2

:

Anal

yze

Oce

an A

cous

tic P

roce

ssin

g an

d s

ound

wav

e pr

opag

atio

n.

L2

85

65

M

H

H

H

H

-

- -

- -

- L

H

H

H

CL

O-3

:

Acqu

ire k

now

ledg

e an

d an

alyz

e U

nder

wat

er re

verb

erat

ion

and

vario

us ty

pes

of n

oise

s.

L1&L

2 85

65

M

H

H

H

-

- -

- -

- L

H

M

H

CL

O-4

:

Acqu

ire k

now

ledg

e on

wor

king

of u

nder

wat

er A

cous

tic tr

ansd

ucer

s.

L1

85

65

H

H

H

H

H

-

- -

- -

- L

H

H

H

CL

O-5

:

Gai

n kn

owle

dge

and

appl

y SO

NAR

con

cept

s fo

r und

erw

ater

app

licat

ions

. L1

& L3

85

65

L

H

H

- -

- -

- -

- L

H

M

H

CL

O-6

:

Und

erst

and

the

deve

lopm

ent a

nd d

ynam

ics

of u

nder

wat

er a

cous

tic e

ngin

eerin

g L2

&L3

85

65

- -

- -

- -

- -

- -

- -

- -

-

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

So

un

d N

avig

atio

n a

nd

Ran

gin

g

(SO

NA

R)

Lea

rnin

g U

nit

/ M

od

ule

2

Oce

an A

cou

stic

Pro

cess

ing

an

d s

ou

nd

w

ave

pro

pag

atio

n

Lea

rnin

g U

nit

/ M

od

ule

3

Rev

erb

erat

ion

an

d N

ois

es

Lea

rnin

g U

nit

/ M

od

ule

4

Aco

ust

ic T

ran

sdu

ctio

n

Lea

rnin

g U

nit

/ M

od

ule

5

SO

NA

R A

pp

licat

ion

9 9

9 9

9

S-1

S

LO-1

In

trodu

ctio

n to

SO

NAR

equ

atio

n,

Proc

essi

ng o

cean

sou

nd-S

ampl

ing

rule

s R

ever

bera

tion-

Scat

terin

g, b

ack

scat

terin

g st

reng

th a

nd ta

rget

stre

ngth

Pi

ezoe

lect

ric tr

ansd

ucer

-Intro

duct

ion

Echo

sou

nder

SLO

-2

Sour

ce In

tens

ity, S

ourc

e D

irect

ivity

Sp

atia

l sam

plin

g an

d Te

mpo

ral s

ampl

ing

Surfa

ce a

nd b

otto

m s

catte

ring

Piez

oele

ctric

tran

sduc

er-3

3-M

ode

long

itudi

nal v

ibra

tor

Echo

Sou

nder

S-2

SLO

-1

Tran

smis

sion

loss

Fi

lter o

pera

tions

-Fin

ite F

ourie

r tra

nsfo

rmat

ion

Volu

me

scat

terin

g, b

otto

m s

catte

ring,

re

verb

erat

ion

targ

et s

treng

th

Piez

oele

ctric

tran

sduc

er-3

3-M

ode

long

itudi

nal v

ibra

tor

Sub-

botto

m p

rofil

ing

SLO

-2

Tran

smis

sion

loss

Fi

lter o

pera

tions

-Tim

e do

mai

n vi

ew o

f Ban

d pa

ss fi

lterin

g. c

onvo

lutio

n op

erat

ions

, fre

quen

cy d

omai

n

Cal

cula

tion

of re

verb

erat

ion

for u

se in

the

sona

r equ

atio

n, V

olum

e re

verb

erat

ion

leve

l El

ectro

stric

tive

trans

duce

rs

Fish

ing

sona

rs

S-3

S

LO-1

Ta

rget

Stre

ngth

G

ated

Sig

nals

-Dep

ende

nce

of S

pect

rum

on

ping

car

rier p

erio

dici

ty

Rev

erbe

ratio

n fre

quen

cy s

prea

d an

d D

oppl

er g

ain

pote

ntia

l-Pow

er s

pect

ral

dens

ity o

f a C

W p

ulse

El

ectro

stric

tive

trans

duce

rs

Side

sca

n te

rrain

map

ping

son

ar

SLO

-2

Ref

lect

ion

Inte

nsity

Los

s C

oeffi

cien

t Po

wer

spe

ctra

of r

ando

m s

igna

l-Sig

nal h

avin

g ra

ndom

cha

ract

eris

tics,

Spe

ctra

l den

sity

, En

viro

nmen

tal f

requ

ency

sam

plin

g M

agne

tost

rictiv

e tra

nsdu

cers

Si

de s

can

terra

in m

appi

ng s

onar

S-4

SLO

-1

Sea-

floor

Los

s,

Rad

om s

igna

l sim

ulat

ions

-Inte

nsity

spe

ctra

l de

nsity

, Spe

ctra

l sm

ooth

ing

Freq

uenc

y sp

read

ing

due

to tr

ansm

itter

an

d re

ceiv

er m

otio

n M

agne

tost

rictiv

e tra

nsdu

cers

Ac

oust

ic p

ositi

onin

g an

d na

viga

tion

SLO

-2

Sea-

surfa

ce L

oss

Mat

ched

filte

rs a

nd a

utoc

orre

latio

n Fr

eque

ncy

spre

adin

g du

e to

targ

et,

impo

rtant

obs

erva

tion

with

resp

ect t

o re

verb

erat

ion

Elec

tost

atic

Tra

nsdu

cers

Ac

oust

ic p

ositi

onin

g an

d na

viga

tion

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

3

S-5

SLO

-1

Noi

se, R

ever

bera

tion

Soun

ds in

the

ocea

ns-n

atur

al p

hysi

cal s

ound

s an

d bi

olog

ical

sou

nds

Noi

se-A

mbi

ent n

oise

mod

els

Elec

tost

atic

Tra

nsdu

cers

3D

Imag

ing

Proc

essi

ng-d

ata

mod

el

SLO

-2

Activ

e an

d Pa

ssiv

e So

nar E

quat

ions

So

und

prop

agat

ion

in th

e oc

ean

and

unde

rwat

er a

cous

tic c

hann

el-S

ound

wav

e an

d vi

brat

ion,

vel

ocity

of s

ound

Ambi

ent n

oise

-sei

smic

noi

se, o

cean

tu

rbul

ence

, shi

ppin

g no

ise

Varia

ble

Rel

ucta

nce

Tran

sduc

ers

3D Im

agin

g Pr

oces

sing

-acq

uisi

tion

of 3

D

info

rmat

ion

S-6

SLO

-1

Pass

ive

Sona

r Equ

atio

ns, S

igna

l-to-

Noi

se R

atio

Soun

d pr

opag

atio

n in

the

ocea

n an

d un

derw

ater

aco

ustic

cha

nnel

-Sou

nd w

ave

velo

city

of s

ound

W

ave

nois

e, th

erm

al n

oise

Va

riabl

e R

eluc

tanc

e Tr

ansd

ucer

s 3D

Imag

ing

Proc

essi

ng-m

atrix

app

roac

h an

d re

al ti

me

syst

ems

SLO

-2

Sign

al E

xces

s, F

igur

e of

Mer

it W

ave

and

ray

theo

ries

of u

nder

wat

er s

ound

fie

lds

Rai

n no

ise,

tem

pora

l var

iabi

lity

of a

mbi

ent

nois

e, d

epth

effe

cts

of n

oise

M

ovin

g co

il tra

nsdu

cers

3D

Imag

ing

Proc

essi

ng-Im

age

repr

esen

tatio

n, A

cous

tic im

age

proc

essi

ng

S-7

SLO

-1

Activ

e SO

NAR

targ

et s

treng

th

Wav

e an

d ra

y th

eorie

s of

und

erw

ater

sou

nd

field

s U

nder

ice

nois

e M

ovin

g co

il tra

nsdu

cers

3D

Imag

ing

Proc

essi

ng-S

egm

enta

tion

and

reco

nstru

ctio

n of

und

erw

ater

tubu

lar

stru

ctur

es

SLO

-2

Activ

e SO

NAR

- rev

erbe

ratio

n, d

etec

tion

thre

shol

d W

ave

and

ray

theo

ries

of u

nder

wat

er s

ound

fie

lds

Spat

ial c

oher

ence

of a

mbi

ent n

oise

Eq

uiva

lent

circ

uits

-Bas

ics

Circ

uit R

eson

ance

3D Im

agin

g Pr

oces

sing

-Seg

men

tatio

n an

d re

cons

truct

ion

of u

nder

wat

er tu

bula

r st

ruct

ures

S-8

S

LO-1

Ac

tive

Sona

r Sou

rces

- Sou

rce

Leve

l, C

avita

tion

Soun

d ab

sorp

tion

in s

ea w

ater

and

its

char

acte

ristic

s Se

lf-no

ise-

Flow

noi

se

Circ

uit Q

and

Ban

dwid

th

Acou

stic

com

mun

icat

ion-

Cro

ss a

ttrib

utes

of

the

rece

ived

sig

nal

SLO

-2

Nea

r-Fie

ld In

tera

ctio

ns

Expl

osiv

e So

urce

s U

pper

bou

ndar

y of

aco

ustic

cha

nnel

Se

lf-no

ise

– Fl

ow n

oise

Tr

ansd

ucer

s as

pro

ject

ors-

prin

cipl

e Ac

oust

ic c

omm

unic

atio

n-ch

anne

l tra

nsfe

r fun

ctio

n

S-9

S

LO-1

Ph

ysic

s of

Sho

ck W

aves

in W

ate,

Bub

ble

Puls

es

Low

er b

ound

ary

of a

cous

tic c

hann

el a

nd it

s ch

arac

teris

tics

Self

nois

e-tu

rbul

ent n

oise

coh

eren

ce

Tran

sduc

ers

as H

ydro

phon

es-

prin

cipl

es o

f ope

ratio

ns

Acou

stic

com

mun

icat

ion-

com

batin

g m

ultip

ath

SLO

-2

Pros

and

Con

s of

Exp

losi

ve C

harg

es,

Para

met

ric A

cous

tic S

ourc

es

soun

d fie

ld in

sha

llow

wat

er

Self

nois

e-st

rum

min

g no

ise

Tran

sduc

ers

as H

ydro

phon

es-

sim

plifi

ed e

quiv

alen

t circ

uit

Acou

stic

com

mun

icat

ion-

dive

rsity

re

cept

ion,

equ

aliz

atio

n

Lea

rnin

g

Res

ou

rces

1.

Ric

hard

P H

OD

GE

S, “

Und

erw

ater

Aco

ustic

s –

Ana

lysi

s, D

esig

n an

d P

erfo

rman

ce o

f SO

NA

R”,

W

iley

1 ed

ition

2010

, IS

BN

978

-0-4

70-6

8875

- 2.

R

odne

y F

W C

oate

s, “

Und

erw

ater

Aco

ustic

s S

yste

ms”

, Mac

mill

an N

ew E

lect

roni

cs,W

iley,

1sted

ition

, 1

990,

ISB

N 9

78-0

-333

-425

42-8

3.

R

ober

t S H

Iste

pani

an a

nd M

ilica

Sto

jano

vic,

“U

nder

wat

er A

cous

tic D

igita

l Sig

nal P

roce

ssin

g an

d C

omm

unic

atio

n S

yste

ms”

, Spr

inge

r, 2

002

editi

on, I

SB

N 9

78-1

-441

9-48

82-3

4.

Cha

rles

H S

herm

an, J

ohn

L B

utle

r, “

Tra

nsdu

cers

and

Arr

ays

for

Und

erw

ater

Sou

nd”,

Spr

inge

r; 2

nd

editi

on, 2

016,

ISB

N-1

0: 0

-387

-329

40-4

ISB

N-1

3: 9

78-0

387-

3294

0-6

5.

Qih

u Li

, “D

igita

l Son

ar D

esig

n in

und

erw

ater

aco

ustic

s: P

rinci

ples

and

app

licat

ions

”, S

prin

ger,

Z

heja

ng U

nive

rsity

Pre

ss, 2

012

6.

Her

man

Med

win

, Cla

renc

e S

.Cla

y, “

Fun

dam

enta

ls o

f Aco

ustic

al O

cean

ogra

phy”

, Aca

dem

ic P

ress

, 19

98.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

S. D

han

alak

shm

i, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

4

Co

urs

e C

od

e 18

EC

O10

6J

Co

urs

e N

ame

PC

B D

esig

n an

d M

anuf

actu

ring

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/ Sta

nd

ard

s

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Expl

ore

the

term

inol

ogie

s of

PC

B de

sign

and

Ele

ctro

nic

com

pone

nts.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

desi

gn a

nd o

ther

con

side

ratio

n in

volv

ed in

PC

B de

sign





Problem Analysis


Analysis, Design,

Research

Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Achievement



CL

R-3

:

Und

erst

and

the

PCB

desi

gn c

onsi

dera

tion

for s

peci

al a

pplic

atio

n ci

rcui

ts

CL

R-4

:

Des

ign

a PC

B la

yout

usi

ng C

AD to

ol

CL

R-5

:

Expl

ore

vario

us P

CB

man

ufac

turin

g te

chni

ques

CL

R-6

:

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Iden

tify

the

vario

us ty

pes

of P

CB

and

elec

troni

cs c

ompo

nent

s pa

ckag

ing

1

80

70

H

L

CL

O-2

:

Sele

ct s

uita

ble

desi

gn a

nd c

onsi

der a

ppro

pria

te p

aram

eter

s in

volv

ed in

PC

B de

sign

1,

2 80

70

M

L

CL

O-3

:

Appl

y th

e ap

prop

riate

des

ign

rule

s in

des

igni

ng P

CB

for s

peci

al a

pplic

atio

n ci

rcui

ts

1,2

80

70

M

L

CL

O-4

:

Des

ign

and

deve

lop

a PC

B la

yout

usi

ng C

AD to

ol

1,2,

3

80

70

M

M

H

C

LO

-5 :

Id

entif

y an

d se

lect

the

requ

ired

PCB

man

ufac

turin

g te

chno

logy

1,

2, 3

80

70

L

H

CL

O-6

:

L

earn

ing

Un

it /

Mo

du

le 1

L

earn

ing

Un

it /

Mo

du

le 2

L

earn

ing

Un

it /

Mo

du

le 3

L

earn

ing

Un

it /

Mo

du

le 4

L

earn

ing

Un

it /

Mo

du

le 5

Du

rati

on

(h

ou

r)

12

12

12

12

12

S-1

S

LO

-1

Nom

encl

atur

e of

a P

rinte

d C

ircui

t Boa

rd

PCB

Des

ign

Con

side

ratio

ns -

Impo

rtant

D

esig

n El

emen

ts

Des

ign

Rul

es fo

r Ana

log

Circ

uits

Sc

hem

atic

Cap

ture

- In

trodu

ctio

n sc

hem

atic

cap

ture

tool

Im

age

Tran

sfer

Tec

hniq

ues-

Scr

een

Prin

ting,

Pat

tern

Tra

nsfe

rring

Tec

hniq

ues

SL

O-2

C

lass

ifica

tion

of P

rinte

d C

ircui

t Boa

rds

PCB

Des

ign

Con

side

ratio

ns -

Impo

rtant

Pe

rform

ance

Par

amet

ers

S-2

SL

O-1

M

anuf

actu

ring

of b

asic

PC

B - S

ingl

e-an

d D

oubl

e-si

ded

Plat

ed T

hrou

gh-h

oles

PC

B D

esig

n C

onsi

dera

tions

- M

echa

nica

l D

esig

n C

onsi

dera

tions

Des

ign

Rul

es fo

r Dig

ital C

ircui

ts

Sche

mat

ic C

aptu

re -

Sim

ulat

ion

of s

impl

e el

ectro

nic

circ

uit

Imag

e Tr

ansf

er T

echn

ique

s- P

rintin

g In

ks,

Phot

o Pr

intin

g, L

aser

Dire

ct Im

agin

g (L

DI)

SL

O-2

Man

ufac

turin

g of

Mul

ti-la

yer B

oard

s -

Flex

ible

Boa

rds,

Cha

lleng

es in

mod

ern

PCB

Des

ign

and

Man

ufac

ture

, PC

B St

anda

rds

PCB

Des

ign

Con

side

ratio

ns -

Mec

hani

cal

Des

ign

Con

side

ratio

ns

Sche

mat

ic C

aptu

re -

Sch

emat

ic to

layo

ut

trans

fer

Cop

per C

lad

Lam

inat

es -

Prop

ertie

s of

La

min

ates

, Typ

es o

f Lam

inat

es,

Eval

uatio

n of

Lam

inat

es

S-3

S

LO

-1

Stud

y of

ele

ctro

nic

com

pone

nts-

Pas

sive

el

ectro

nic

com

pone

nts

Des

ign

and

anal

ysis

of R

L an

d R

C ti

me

cons

tant

s.

Sche

mat

ic in

CAD

tool

Sche

mat

ic a

nd P

CB

Layo

ut in

CAD

tool

. R

egu

late

d p

ow

er s

up

ply

des

ign

.- F

ull

wav

e re

ctif

ier

circ

uit

des

ign

wit

h f

ixed

vo

ltag

e re

gu

lato

r

PC

B L

ayo

ut

Des

ign

of

sin

gle

dig

it

pu

lse

cou

nte

r u

sin

g P

CB

des

ign

to

ol.

Min

i Pro

ject

- P

CB

Lay

ou

t D

esig

n o

f el

ectr

on

ic t

urn

ON

/OF

F t

imer

usi

ng

IC

555

usi

ng

PC

B d

esig

n t

oo

l.

SL

O-2

S-4

S

LO

-1

SL

O-2

S-5

S

LO

-1

Type

s, S

ymbo

ls, P

acka

ging

sha

pes

and

term

inal

det

ails

of E

lect

roni

c C

ompo

nent

s –R

esis

tors

, The

rmis

tors

Cap

acito

rs,

Indu

ctor

s

PCB

Des

ign

Con

side

ratio

ns -

Elec

trica

l D

esig

n C

onsi

dera

tions

D

esig

n R

ules

for H

igh

Freq

uenc

y C

ircui

ts

PCB

Layo

ut D

esig

n - C

once

ptio

n Le

vel

Intro

duct

ion

Etch

ing

Tech

niqu

es –

wet

Etc

hing

ch

emic

als

SL

O-2

D

iode

s, L

ight

Em

ittin

g D

iode

s (L

ED),

Phot

odio

de,

PCB

Des

ign

Con

side

ratio

ns -

Con

duct

or

Patte

rns,

Com

pone

nt P

lace

men

t Rul

es

Des

ign

Rul

es fo

r Fas

t Pul

se C

ircui

ts

PCB

Layo

ut D

esig

n - S

peci

fyin

g Pa

rts,

Pack

ages

and

Pin

Nam

es, L

ibra

ries

Etch

ing

Tech

niqu

es -

Mec

hani

cal E

tchi

ng

S-6

S

LO

-1

Tran

sist

ors,

Fie

ld-e

ffect

Tra

nsis

tors

, In

sula

ted

Gat

e Bi

pola

r Tra

nsis

tor (

IGBT

), Th

yris

tor

Fabr

icat

ion

and

Asse

mbl

y C

onsi

dera

tions

D

esig

n R

ules

for M

icro

wav

e C

ircui

ts

PCB

Layo

ut D

esig

n - C

heck

ing

foot

prin

ts

of th

e co

mpo

nent

s, P

art l

ist,

Net

list

, M

akin

g N

et li

st F

iles

PCB

Asse

mbl

y Pr

oces

s - T

hrou

gh-h

ole

S-7

S

LO

-1

Stud

y of

ele

ctro

nic

com

pone

nts-

act

ive

devi

ces,

ana

log

and

digi

tal i

nteg

rate

d D

esig

n an

d an

alys

is o

f RLC

circ

uits

. Sc

hem

atic

in C

AD to

ol

Sche

mat

ic a

nd P

CB

Layo

ut in

CAD

tool

. R

egu

late

d p

ow

er s

up

ply

des

ign

. -F

ull

PC

B D

esig

n o

f si

ng

le d

igit

pu

lse

cou

nte

r: S

chem

atic

an

d P

CB

layo

ut

Min

i Pro

ject

- M

anu

fact

ure

th

e P

CB

fo

r el

ectr

on

ic t

urn

ON

/OF

F t

imer

usi

ng

SL

O-2

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

5

S-8

S

LO

-1

circ

uits

(IC

)

wav

e re

ctif

ier

circ

uit

des

ign

wit

h f

ixed

vo

ltag

e re

gu

lato

r

usi

ng

PC

B d

esig

n t

oo

l. IC

555a

nd

co

nst

ruct

an

d t

est

the

des

ign

ed c

ircu

it.

S

LO

-2

S-9

S

LO

-1

Dig

ital I

nteg

rate

d C

ircui

ts, R

ando

m

Acce

ss M

emor

y En

viro

nmen

tal F

acto

rs, C

oolin

g R

equi

rem

ents

D

esig

n R

ules

for H

igh-

dens

ity

Inte

rcon

nect

ion

Stru

ctur

es

PCB

Layo

ut D

esig

n - M

ount

ing

Hol

es,

Addi

ng T

ext,

PCB

Layo

ut

PCB

Asse

mbl

y Pr

oces

s - S

urfa

ce M

ount,

Mix

ed T

echn

olog

ies

S

LO

-2

Rea

d O

nly

Mem

ory

Pack

agin

g D

ensi

ty

S-1

0 S

LO

-1

Mic

roco

ntro

llers

, Sur

face

Mou

nt D

evic

es

Layo

ut D

esig

n El

ectro

mag

netic

Inte

rfere

nce/

Com

patib

ility

(EM

I/EM

C)

PCB

Layo

ut D

esig

n - D

RC

, Pat

tern

Tr

ansf

er, L

ayou

t prin

ting

PCB

Asse

mbl

y Pr

oces

s - S

olde

ring

S

LO

-2

Tran

sfor

mer

, Rel

ays,

Con

nect

ors

S-1

1 S

LO

-1

Stud

y of

test

ing

and

mea

surin

g In

stru

men

ts: L

ogic

ana

lyze

r, sp

ectru

m

anal

yzer

, IC

test

er (A

nalo

g an

d D

igita

l),

LCR

met

ers

PCB

Layo

ut D

esig

n - o

f RL,

RC

and

RLC

ci

rcui

ts

Sche

mat

ic a

nd P

CB

Layo

ut in

CAD

tool

. R

egu

late

d p

ow

er s

up

ply

des

ign

. F

ull

wav

e re

ctif

ier

circ

uit

des

ign

wit

h

fixe

d v

olt

age

reg

ula

tor

Min

i Pro

ject

- P

CB

Lay

ou

t D

esig

n o

f el

ectr

on

ic t

urn

ON

/OF

F t

imer

usi

ng

IC

555

usi

ng

PC

B d

esig

n t

oo

l.

Min

i Pro

ject

- M

anu

fact

ure

th

e P

CB

fo

r el

ectr

on

ic t

urn

ON

/OF

F t

imer

usi

ng

IC

555a

nd

co

nst

ruct

an

d t

est

the

des

ign

ed c

ircu

it.

S

LO

-2

S-1

2 S

LO

-1

S

LO

-2

Lea

rnin

g

Res

ou

rces

1.

Rag

hbir

Sing

h Kh

andp

ur, “

Prin

ted

Circ

uit B

oard

s: D

esig

n, F

abric

atio

n, a

nd A

ssem

bly”

McG

raw

-Hill

Elec

troni

c En

gine

erin

g, 2

006.

2.

C

harle

s A.

Har

pe, “

Hig

h Pe

rform

ance

Prin

ted

Circ

uit B

oard

s”, M

cGra

w H

ill Pr

ofes

sion

al, 2

000.

3.

Br

uce

R. A

rcha

mbe

ault,

Jam

es D

rew

niak

, “PC

B D

esig

n fo

r Rea

l- Wor

ld E

MI C

ontro

l”, V

olum

e 69

6 of

The

Sp

ringe

r Int

erna

tiona

l Ser

ies

in E

ngin

eerin

g an

d C

ompu

ter S

cien

ce, S

prin

ger S

cien

ce &

Bus

ines

s M

edia

, 201

3.

4.

Krai

g M

itzne

r, “C

ompl

ete

PCB

Des

ign

Usi

ng O

rCAD

Cap

ture

and

PC

B Ed

itor”,

New

nes/

Else

vier

, 200

9.

5.

Dou

glas

Bro

oks

“Sig

nal I

nteg

rity

Issu

es a

nd P

rinte

d C

ircui

t Boa

rd D

esig

n”, P

rent

ice

Hal

l PTR

, 200

3.

6.

Mar

k I.

Mon

trose

“Prin

ted

Circ

uit B

oard

Des

ign

Tech

niqu

es fo

r EM

C C

ompl

ianc

e : A

han

dboo

k fo

r de

sign

ers”

Wile

y, 2

Edi

tion,

201

5.

7.

Esim

ope

n so

urce

tool

: ht

tp://

esim

.foss

ee.in

/ 8.

TI

NA/

Orc

ad U

ser m

anua

l

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. D

r. P.

Esw

aran

, SR

M IS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

6

Co

urs

e C

od

e 18

EC

O10

7T

Co

urs

e N

ame

Fib

er O

ptic

s an

d O

ptoe

lect

roni

cs

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

3 0

0 3

P

re-r

equ

isit

e C

ou

rses

N

il C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd C

omm

unic

atio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Anal

yze

the

basi

c la

ws

and

theo

rem

s of

ligh

t ass

ocia

ted

with

the

optic

al fi

ber

com

mun

icat

ion

and

the

clas

sific

atio

n of

op

tical

fibe

rs

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Addr

ess

conc

epts

rela

ted

to tr

ansm

issi

on c

hara

cter

istic

s su

ch a

s at

tenu

atio

n an

d di

sper

sion

.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Techniques


CL

R-3

:

Expl

ore

the

fund

amen

tals

of o

ptoe

lect

roni

cs d

ispl

ay d

evic

es, S

ourc

es a

nd D

etec

tors

CL

R-4

:

Gai

n to

info

rmat

ion

on O

ptic

al m

odul

ator

s an

d am

plifi

ers

CL

R-5

:

Illus

trate

the

inte

grat

ion

met

hods

ava

ilabl

e fo

r opt

oele

ctro

nic

circ

uits

and

dev

ices

CL

R-6

:

Util

ize

the

basi

c op

tical

con

cept

s ap

plie

d in

var

ious

eng

inee

ring

prob

lem

s an

d id

entif

y ap

prop

riate

sol

utio

ns

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Rev

iew

the

basi

c th

eore

ms

rela

ted

to fi

ber o

ptic

com

mun

icat

ion,

and

atta

in k

now

ledg

e of

type

s of

opt

ical

fibe

rs

2 80

70

H

H

- -

- -

- -

- -

- -

-

H

CL

O-2

:

Und

erst

and

the

optic

al s

igna

l dis

torti

on fa

ctor

s in

opt

ical

fibe

r com

mun

icat

ion

2 85

75

H

- M

-

- -

- -

- -

- -

- -

M

CL

O-3

:

Fam

iliariz

e th

e pr

inci

ple

and

oper

atio

n of

var

ious

dis

play

dev

ices

, lig

ht s

ourc

es a

nd d

etec

tors

2

75

70

H

M

M

-

- -

- -

- -

- -

- -

L C

LO

-4 :

Ac

quire

kno

wle

dge

of v

ario

us o

ptoe

lect

roni

c m

odul

ator

s an

d am

plifi

ers

2 85

80

H

- M

-

- -

- -

- -

- -

- -

H

CL

O-5

:

Und

erst

and

the

vario

us o

ptoe

lect

roni

c in

tegr

ated

circ

uits

2

85

75

H

-

M

L -

- -

- -

- -

- -

- L

CL

O-6

: Ac

quire

fund

amen

tal c

once

pts

rela

ted

to o

ptic

al c

omm

unic

atio

n an

d op

toel

ectro

nic

devi

ces

2

80

75

H

M

M

L

- -

- -

- -

- -

- -

H

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Intr

od

uct

ion

to

Op

tica

l Fib

ers

Lea

rnin

g U

nit

/ M

od

ule

2

Tra

nsm

issi

on

Ch

arac

teri

stic

s o

f O

pti

cal

Fib

ers

Lea

rnin

g U

nit

/ M

od

ule

3

Dis

pla

y D

evic

es, L

igh

t S

ou

rces

an

d

Det

ecti

on

Dev

ices

Lea

rnin

g U

nit

/ M

od

ule

4

Op

toel

ectr

on

ic M

od

ula

tors

an

d

Sw

itch

ing

Dev

ices

Lea

rnin

g U

nit

/ M

od

ule

5

Op

toel

ectr

on

ic In

teg

rate

d C

ircu

its

9 9

9 9

9

S-1

SL

O-1

Ev

olut

ion

of fi

ber o

ptic

sys

tem

At

tenu

atio

n –

Abso

rptio

n, A

ttenu

atio

n un

its

Dis

play

dev

ices

– P

hoto

lum

ines

cenc

e An

alog

and

Dig

ital M

odul

atio

n O

ptoe

lect

roni

c in

tegr

ated

circ

uits

- In

trodu

ctio

n

SL

O-2

El

emen

ts o

f an

optic

al fi

ber t

rans

mis

sion

lin

k At

tenu

atio

n –

Scat

terin

g lo

sses

C

atho

de lu

min

esce

nce

El

ectro

opt

ic m

odul

ator

s –

Elec

tro o

ptic

ef

fect

– L

ongi

tudi

nal e

lect

ro o

ptic

m

odul

ator

Nee

d fo

r Int

egra

tion

- Hyb

rid a

nd

Mon

olith

ic In

tegr

atio

n

S-2

S

LO

-1

Elem

ents

of a

n op

tical

fibe

r tra

nsm

issi

on

link

Atte

nuat

ion

– Be

ndin

g lo

sses

, m

icro

bend

ing

and

mac

ro b

endi

ng lo

sses

El

ectro

lum

ines

cenc

e El

ectro

opt

ic m

odul

ator

s –

Tran

sver

se

elec

tro o

ptic

mod

ulat

or

Hyb

rid a

nd M

onol

ithic

Inte

grat

ion

SL

O-2

Ad

vant

ages

of f

iber

opt

ic s

yste

m

Atte

nuat

ion

- Cor

e cl

addi

ng lo

sses

In

ject

ion

lum

ines

cenc

e

Acou

sto

optic

mod

ulat

ors

– Tr

ansm

issi

on

type

– R

aman

Nat

h m

odul

ator

M

ater

ials

and

pro

cess

ing

of O

EIC

s

S-3

S

LO

-1

Cha

ract

eris

tics

and

beha

vior

of l

ight

Si

gnal

dis

torti

on in

opt

ical

wav

egui

des

Ligh

t sou

rce

mat

eria

ls

Acou

sto

optic

mod

ulat

ors

– R

efle

ctio

n ty

pe

– Br

agg

mod

ulat

or

Appl

icat

ion

of o

ptoe

lect

roni

c in

tegr

ated

ci

rcui

ts

SL

O-2

To

tal i

nter

nal r

efle

ctio

n Ty

pes

of d

ispe

rsio

n-In

tram

odal

and

In

term

odal

dis

pers

ion

Surfa

ce e

mitt

ing

LED

s So

lvin

g Pr

oble

ms

Slab

and

Stri

p W

aveg

uide

s

S-4

SL

O-1

Ac

cept

ance

ang

le

Mat

eria

l dis

pers

ion

Edge

em

ittin

g LE

Ds

Opt

ical

sw

itchi

ng a

nd lo

gic

devi

ces

– se

lf-el

ectro

-opt

ic-d

evic

e In

tegr

ated

tran

smitt

ers

and

rece

iver

s –

Fron

t end

pho

to re

ceiv

ers

SL

O-2

N

umer

ical

ape

rture

, Crit

ical

ang

le

Mat

eria

l dis

pers

ion,

Wav

egui

de d

ispe

rsio

n Q

uant

um e

ffici

ency

and

LED

pow

er –

In

tern

al q

uant

um e

ffici

ency

der

ivat

ion

Opt

ical

sw

itchi

ng a

nd lo

gic

devi

ces

– Bi

pola

r con

trolle

r mod

ulat

or

Inte

grat

ed tr

ansm

itter

s an

d re

ceiv

ers

– ph

otor

ecei

ver n

oise

and

ban

dwid

th

cons

ider

atio

ns

S-5

S

LO

-1

Solv

ing

Prob

lem

s W

aveg

uide

dis

pers

ion

Qua

ntum

effi

cien

cy a

nd L

ED p

ower

–

Opt

ical

sw

itchi

ng a

nd lo

gic

devi

ces-

In

tegr

ated

tran

smitt

ers

and

rece

iver

s –

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

7

Exte

rnal

qua

ntum

effi

cien

cy a

nd to

tal L

ED

pow

er

tuna

ble

thre

shol

d lo

gic

gate

– S

witc

hing

sp

eed

and

ener

gy.

PIN

-HBT

pho

tore

ceiv

ers

SL

O-2

Solv

ing

Prob

lem

s Si

gnal

dis

torti

on in

sin

gle

mod

e fib

ers

Solv

ing

Prob

lem

s O

ptic

al A

mpl

ifier

s –

Gen

eral

app

licat

ions

of

optic

al a

mpl

ifier

s

Inte

grat

ed tr

ansm

itter

s an

d re

ceiv

ers

– O

EIC

tran

smitt

ers

– eq

uiva

lent

circ

uit f

or

inte

grat

ed re

ceiv

ers

S-6

S

LO

-1

Ray

opt

ics

Po

lariz

atio

n m

ode

disp

ersi

on

Sem

icon

duct

or la

ser d

iode

Se

mic

ondu

ctor

opt

ical

am

plifi

ers

– Ba

sic

conf

igur

atio

n In

tegr

ated

tran

smitt

ers

and

rece

iver

s –

Com

plex

circ

uits

and

arra

ys

SL

O-2

Ty

pes

of ra

ys

Pola

rizat

ion

mod

e di

sper

sion

, Int

erm

odal

di

sper

sion

M

odes

and

thre

shol

d co

nditi

on

Sem

icon

duct

or o

ptic

al a

mpl

ifier

s –

Opt

ical

ga

in -

Lim

itatio

ns

Inte

grat

ed tr

ansm

itter

s an

d re

ceiv

ers

- op

tical

con

trol a

nd m

icro

wav

e os

cilla

tors

S-7

S

LO

-1

Opt

ical

fibe

r mod

es

Inte

rmod

al d

ispe

rsio

n Ph

oto

dete

ctio

n pr

inci

ple

Erbi

um d

oped

fibe

r am

plifi

ers

– en

ergy

le

vel d

iagr

am a

nd a

mpl

ifica

tion

mec

hani

sm G

uide

d w

ave

devi

ces

– W

aveg

uide

and

co

uple

rs

SL

O-2

O

ptic

al fi

ber c

onfig

urat

ions

So

lvin

g Pr

oble

ms

PIN

Pho

todi

ode

Erbi

um d

oped

fibe

r am

plifi

ers

– ED

FA

conf

igur

atio

n G

uide

d w

ave

devi

ces

– Ac

tive

guid

ed

wav

e de

vice

s

S-8

S

LO

-1

Sing

le m

ode

fiber

s

Solv

ing

Prob

lem

s PI

N p

hoto

diod

e -

Aval

anch

e Ph

otod

iode

So

lvin

g Pr

oble

ms

Gui

ded

wav

e de

vice

s –

Mac

h Ze

hnde

r In

terfe

rom

eter

s

SL

O-2

M

ultim

ode

Fibe

rs

Puls

e Br

oade

ning

in G

rade

d In

dex

Wav

egui

des

Aval

anch

e Ph

otod

iode

So

lvin

g Pr

oble

ms

Activ

e co

uple

rs

S-9

SL

O-1

St

ep In

dex

Fibe

rs

Mod

e C

oupl

ing

Noi

se m

echa

nism

in p

hoto

dete

ctor

s Fi

ber R

aman

Am

plifi

ers

– C

onfig

urat

ion

– Fo

rwar

d pu

mpi

ng

Activ

e C

oupl

ers

SL

O-2

G

rade

d In

dex

Fibe

rs

Des

ign

Opt

imiz

atio

n of

Sin

gle

Mod

e Fi

bers

So

lvin

g Pr

oble

ms

Fibe

r Ram

an A

mpl

ifier

s –

Back

war

d pu

mpi

ng

Activ

e C

oupl

ers

Lea

rnin

g

Res

ou

rces

1.

G

erd

Keis

er, “

Opt

ical

Fib

er C

omm

unic

atio

ns”,

5th E

ditio

n, M

cGra

w H

ill Ed

ucat

ion

(Indi

a), 2

015.

2.

Kh

are

R P

, “Fi

ber O

ptic

s an

d O

ptoe

lect

roni

cs”,

Oxf

ord

Uni

vers

ity P

ress

, 201

4.

3.

J. W

ilson

and

J. H

awke

s, “O

ptoe

lect

roni

cs –

An

Intro

duct

ion”

, Pre

ntic

e H

all,

1995

. 4.

Pa

llab

Bhat

tach

arya

, “Se

mic

ondu

ctor

Opt

oele

ctro

nic

Dev

ices

”, Pr

entic

e H

all o

f Ind

ia P

vt. L

td, 2

006.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

S. S

athi

yan,

SR

MIS

T

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

8

Co

urs

e C

od

e 18

EC

O10

8J

Co

urs

e N

ame

EM

BE

DD

ED

SY

ST

EM

DE

SIG

N U

SIN

G A

RD

UIN

O

Co

urs

e C

ateg

ory

O

O

pen

elec

tive

cour

ses

L T

P

C

2 O

2

3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

CE

D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Get

to k

now

abo

ut A

RD

UIN

O h

ardw

are

deta

ils a

nd e

nviro

nmen

t

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

To u

nder

stan

d th

e co

re e

lem

ents

of A

RD

UIN

O p

rogr

amm

ing

lang

uage





Problem Analysis


Analysis, Design,

Research

Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Achievement



CL

R-3

:

Cre

ate

insi

ghts

to th

e co

ncep

ts o

f ser

ial c

omm

unic

atio

n

C

LR

-4 :

To

use

com

mon

inpu

t and

out

put d

evic

es

CL

R-5

:

Appl

y th

e AR

DU

INO

pro

gram

min

g in

to re

al ti

me

appl

icat

ions

CL

R-6

:

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Anal

yze

the

prog

ram

min

g sk

ill 2

80

70

H

- -

- -

- -

- -

- -

- H

H

C

LO

-2 :

Ap

ply

the

real

tim

e da

ta’s

into

dig

ital

2 85

75

H

H

H

H

H

- -

- H

-

H

- -

H

H

CL

O-3

:

Inte

ract

with

alm

ost m

any

devi

ces

2 75

70

H

- H

H

H

-

- -

H

- H

-

H

H

- C

LO

-4 :

Le

arn

tech

niqu

es to

han

dle

timer

del

ays

and

IO d

evic

es

2 85

80

H

H

H

H

H

- -

- H

-

H

- H

H

-

CL

O-5

:

Use

and

mod

ifyin

g th

e ex

istin

g lib

rarie

s

2 85

75

H

- H

H

H

-

- -

H

- H

-

H

H

- C

LO

-6 :

Du

rati

on

(h

ou

r)

12

12

12

12

12

S-1

S

LO

-1

Intro

duct

ion

to a

rdui

no p

latfo

rm

Intro

duct

ion

To A

rdui

no C

An

alog

And

Ser

ial C

omm

unic

atio

n IO

Pro

gram

min

g

Cas

e St

udie

s

SL

O-2

Bl

ock

diag

ram

Ar

duin

o C

Dat

a Ty

pes

. In

trodu

ctio

n To

Ana

log

Com

mun

icat

ion

Intro

duct

ion

To T

imer

/Cou

nter

s W

irele

ss C

omm

unic

atio

n U

sing

Zig

bee

S-2

S

LO

-1

AT m

ega

328p

arc

hite

ctur

e D

ecis

ion

Mak

ing

in C

Pu

lse

Wid

th M

odul

atio

n In

trodu

ctio

n To

Tim

er/C

ount

ers

Blue

toot

h

SL

O-2

AT

meg

a 32

8p a

rchi

tect

ure

Dec

isio

n M

akin

g in

C

RS2

32

Ti

mer

pro

gram

min

g R

obot

ics

-Mot

or A

nd S

enso

r

S 3

-4

SL

O-1

La

b 1

Get

ting

Star

ted

With

Adr

iano

La

b 4

-Sen

sor I

nter

faci

ng F

or T

empe

ratu

re

Mon

itorin

g La

b 7:

Act

uato

rs –

Ste

pper

Mot

or

Lab1

0:In

terru

pt P

rogr

amm

ing

Lab

13:M

ini P

roje

ct

SL

O-2

C

CS

And

AVR

Stu

dio

7 Bl

inki

ng L

ed

Lab

4 -S

enso

r Int

erfa

cing

For

D

ispl

acem

ent M

easu

rem

ent

Lab

7: A

ctua

tors

– S

tepp

er M

otor

La

b10:

Inte

rrupt

Pro

gram

min

g La

b 13

:Min

i Pro

ject

S-5

S

LO

-1

Pin

func

tion

Prog

ram

Loo

ps in

C

I2C

Ti

mer

pro

gram

min

g Se

curit

y-R

FID

, Inf

rare

d

SL

O-2

O

verv

iew

of m

ain

feat

ures

-I/O

por

ts

Func

tions

in C

I2

C

Tim

er p

rogr

amm

ing

Secu

rity-

RFI

D, I

nfra

red

S-6

S

LO

-1

Feat

ures

-tim

ers,

inte

rrupt

s In

trodu

ctio

n to

Poi

nter

s I2

C

Tim

er p

rogr

amm

ing

Bio

med

ical

app

licat

ion

SL

O-2

S 7

-8

SL

O-1

La

b 2

GPI

O L

ED

Lab

5: P

WM

BAS

ED S

ERVO

MO

TOR

IN

TER

FAC

ING

La

b 8:

DC

MO

TOR

La

b11:

Wat

ch D

og T

imer

La

b14:

Mod

el P

ract

ical

SL

O-2

Sw

itch

Base

d Le

d C

ontro

l La

b 5:

PW

M B

ased

Ser

vo M

otor

In

terfa

cing

La

b 8:

DC

MO

TOR

La

b11:

Wat

ch D

og T

imer

La

b14:

Mod

el P

ract

ical

S-9

S

LO

-1

Feat

ures

-PW

M,S

ERIA

L PO

RT

Usi

ng P

oint

ers

Effe

ctiv

ely

SPI P

roto

col

Inte

rrupt

s

Bio

med

ical

app

licat

ion

SL

O-2

Fe

atur

es-A

DC

St

ruct

ures

, Uni

ons,

and

Dat

a St

orag

e SP

I Pro

toco

l In

terru

pt p

rogr

amm

ing

Bio

med

ical

app

licat

ion

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

12

9

S-1

0 S

LO

-1

Intro

duct

ion

to A

rdui

no ID

E Ar

duin

o Li

brar

ies

Inte

rfaci

ng w

ith s

enso

rs

Exte

rnal

inte

rrupt

G

PS N

avig

atio

n

SL

O-2

W

ritin

g ,s

avin

g,co

mpi

ling

with

IDE.

Ar

duin

o Li

brar

ies

Inte

rfaci

ng w

ith s

enso

rs

Exte

rnal

inte

rrupt

G

PS N

avig

atio

n

S11

-12

SL

O-1

La

b 3:

DIS

PLAY

INTE

RFA

CE-

7 SE

GM

ENT

Lab

6:SE

RIA

L C

OM

MU

NIC

ATIO

N

Lab

9: R

epea

t/Rev

isio

n O

f Exp

erim

ents

La

b 12

: I2

C

Lab:

15 U

nive

rsity

Pra

ctic

al

SL

O-2

LC

D 1

6x2

Mat

rix

Lab

6:Se

rial C

omm

unic

atio

n La

b 9:

Rep

eat/R

evis

ion

Of E

xper

imen

ts

Lab

12: I

2C

Lab:

15 U

nive

rsity

Pra

ctic

al

Lea

rnin

g

Res

ou

rces

1.M

icha

el-M

argo

lis,A

rdui

no-C

ookb

ook.

, Rev

ised

edi

tion,

O’R

eilly

,1st e

ditio

n, 2

011

2. D

.Dal

e.W

heat

, Ard

uino

.Inte

rnal

s, T

IA p

ublic

atio

n, 5

th e

ditio

n, 2

011

3. J

ames

M. F

iore

, Em

bedd

ed C

ontr

olle

rs U

sing

C a

nd A

rdui

no, A

RD

UIN

O o

pen

sour

ce c

omm

unity

, 201

8 4.

Jac

k P

urdu

m ,B

egin

ning

C fo

r A

rdui

no, A

pres

s, 2

012

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1.M

rs. S

. Suh

asin

i,, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

0

Co

urs

e C

od

e 18

EC

O10

9J

Co

urs

e N

ame

Em

bedd

ed S

yste

m D

esig

n us

ing

Ras

pber

ry P

i C

ou

rse

Cat

ego

ry

O

Ope

n E

lect

ive

L T

P

C

2 0

2 3

P

re-r

equ

isit

e C

ou

rses

N

il C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

andi

ng th

e pr

ogra

min

g of

pyt

hon

for R

aspb

erry

Pi

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Appl

ying

pyt

hon

prog

ram

min

g on

GPI

O a

nd in

terfa

cing

mot

ors

usi

ng R

aspb

erry

Pi





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Appl

ying

pyt

hon

prog

ram

min

g on

GPI

O s

witc

h an

d ke

yboa

rd

CL

R-4

:

Cre

ate

insi

ghts

to th

e co

ncep

ts a

nd p

rogr

amm

ing

of m

otio

n de

tect

ion

,GPS

pro

gram

min

g, li

ght s

enso

r ,ga

s de

tect

ion

CL

R-5

:

Anal

yze

and

unde

rsta

nd th

e w

orki

ng p

rinci

ple

and

dat

a sh

eet o

f tem

pera

ture

sen

sor,

gas

sen

sor ,

ADC

, ultr

ason

ic

rang

efin

der,

Acce

lera

tion

and

light

sen

sor

CL

R-6

:

Util

ize

the

tech

nolo

gy o

f nod

e js

,cl

oud

serv

ice

and

MQ

TT P

roto

col

for m

ovin

g se

nsor

dat

a to

web

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Appl

y p

ytho

n fo

r Ras

pber

ry P

i 2

80

70

H

H

-

- H

-

- -

- -

- -

H

- -

CL

O-2

:

Anal

yze

data

she

et a

nd fu

nctio

ning

of s

enso

rs

2 85

75

H

H

H

H

H

- -

- -

- -

- -

- H

C

LO

-3 :

Ap

ply

pyth

on p

rogr

amm

ing

on G

PIO

of R

aspb

erry

Pi a

nd in

terfa

cing

of s

enso

r 2

75

70

H

H

H

H

-

- -

- -

- -

- H

-

- C

LO

-4 :

Ap

ply

pyth

on p

rogr

amm

ing

on G

PIO

of R

aspb

erry

Pi t

o in

terfa

cing

of a

ctua

tors

2

85

80

H

H

H

H

H

-

- -

- -

- -

H

- -

CL

O-5

:

Appl

y py

thon

pro

gram

min

g on

GPI

O o

f Ras

pber

ry P

i to

inte

rfaci

ng in

put a

nd d

ispl

ay d

evic

e

2 85

75

H

- H

H

-

- -

- -

- -

- H

-

- C

LO

-6 :

Ap

ply

tech

nolo

gy o

f nod

e js

,cl

oud

serv

ice

and

MQ

TT P

roto

col

for I

OT

appl

icat

ion

2

80

70

H

-

H

- H

-

- -

- -

- -

- -

H

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Bas

ic p

yth

on

pro

gra

mm

ing

Lea

rnin

g U

nit

/ M

od

ule

2

Pro

gra

mm

ing

inte

rru

pts

–M

oto

r co

ntr

ol,

swit

ches

an

d k

eyb

oar

d in

terf

ace

Lea

rnin

g U

nit

/ M

od

ule

3

Sen

sor

inte

rfac

e an

d p

rog

ram

min

g

Lea

rnin

g U

nit

/ M

od

ule

4

Tem

per

atu

re s

enso

r an

d d

isp

lay

inte

rfac

e p

rog

ram

min

g

Lea

rnin

g U

nit

/ M

od

ule

5

Pu

blis

hin

g s

enso

r d

ata

on

web

ser

vice

12

12

12

12

12

S-1

SL

O-1

Pyth

on B

asic

s- E

ditin

g Py

thon

Pro

gram

s w

ith ID

LE,V

aria

bles

, dis

play

ing

Out

put,

Rea

ding

Use

r Inp

ut ,

Arith

met

ic, C

reat

ing

Strin

gs

Prog

ram

min

g w

ith In

terru

pts

Det

ectin

g M

ovem

ent-P

IR s

enso

r M

easu

ring

Tem

pera

ture

Usi

ng a

Dig

ital

Sens

or

publ

ish

sens

or d

ata

on w

eb s

ervi

ce-

build

ing

a ho

me

secu

rity

dash

boa

rd

SL

O-2

Con

cate

natin

g (J

oini

ng) S

tring

s,

Con

verti

ng N

umbe

rs to

Stri

ngs,

Con

verti

ng

Strin

gs to

Num

bers

,Fin

d th

e Le

ngth

of a

St

ring,

Fin

d th

e Po

sitio

n of

One

Stri

ng

Insi

de A

noth

er, E

xtra

ctin

g Pa

rt of

a S

tring

, R

epla

cing

One

Stri

ng o

f Cha

ract

ers

with

An

othe

r Ins

ide

a St

ring

,Con

verti

ng a

St

ring

to U

pper

- or L

ower

case

Prog

ram

min

g w

ith In

terru

pts

Dat

a sh

eet a

naly

sis

of P

IR s

enso

r D

ata

shee

t ana

lysi

s D

igita

l Tem

pera

ture

Se

nsor

pu

blis

h se

nsor

dat

a on

web

ser

vice

-bu

ildin

g a

hom

e se

curit

y da

sh b

oard

S-2

SL

O-1

R

unni

ng C

omm

ands

Con

ditio

nally

, C

ompa

ring

Valu

es, L

ogic

al O

pera

tors

, C

ontro

lling

GPI

O O

utpu

ts U

sing

a W

eb

Inte

rface

Ad

ding

GPS

to th

e R

aspb

erry

Pi

Mea

surin

g D

ista

nce-

ultra

soni

c ra

ngef

inde

r M

QTT

Pro

toco

l

SL

O-2

Rep

eatin

g In

stru

ctio

ns a

n Ex

act N

umbe

r of

Tim

es ,R

epea

ting

Inst

ruct

ions

Unt

il So

me

Con

ditio

n C

hang

es ,

Brea

king

Out

of a

Lo

op, D

efin

ing

a Fu

nctio

n in

Pyt

hon

Con

trollin

g G

PIO

Out

puts

Usi

ng a

Web

In

terfa

ce

Dat

a sh

eet a

naly

sis

of G

PS

Dat

a sh

eet a

naly

sis

ultra

soni

c ra

ngef

inde

r M

QTT

Pro

toco

l- in

stal

latio

n an

d se

tting

ac

coun

t ,to

ken

crea

tion

,read

ing

sens

or

data

and

pus

hing

to th

ings

boar

d

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

1

S-3

-4

SL

O-1

L

ab 1

: A

rith

met

ic a

nd

str

ing

L

ab 7

: P

rog

ram

min

g o

n in

terr

up

ts

Lab

13:

Pro

gra

mm

ing

on

PIR

sen

sor

Lab

19:

Pro

gra

mm

ing

on

Dig

ital

T

emp

erat

ure

Sen

sor

Lab

25:

Pu

blis

h s

enso

r d

ata

on

web

se

rvic

e

SL

O-2

L

ab 2

: L

oo

p

Lab

8:

Pro

gra

mm

ing

on

Web

Inte

rfac

e L

ab 1

4: P

rog

ram

min

g o

n G

PS

L

ab 2

0: P

rog

ram

min

g o

n u

ltra

son

ic

ran

gef

ind

er

Lab

26:

Pu

blis

h s

enso

r d

ata

on

web

se

rvic

e

S-5

SL

O-1

Cre

atin

g a

List

, Ac

cess

ing

Elem

ents

of a

Li

st, F

ind

the

Leng

th o

f a L

ist ,

Add

ing

Elem

ents

to a

Lis

t , R

emov

ing

Elem

ents

fro

m a

Lis

t,

Con

trollin

g Se

rvo

Mot

ors

usin

g PW

M

Usi

ng R

esis

tive

Sens

ors

Logg

ing

to a

USB

Fla

sh D

rive

basi

c of

java

scr

ipts

–no

de.js

SL

O-2

Cre

atin

g a

List

by

Pars

ing

a St

ring,

Ite

ratin

g ov

er a

Lis

t, En

umer

atin

g a

List

, So

rting

a L

ist,

Cut

ting

Up

a Li

st.A

pply

ing

a Fu

nctio

n to

a L

ist

Con

trollin

g th

e Sp

eed

of a

DC

Mot

or

Mea

surin

g Li

ght

Logg

ing

to a

USB

Fla

sh D

rive

Mod

ules

-HTM

L m

odul

e

S-6

S

LO

-1

Cre

atin

g a

Dic

tiona

ry ,A

cces

sing

a

Dic

tiona

ry, R

emov

ing

Thin

gs fr

om a

D

ictio

nary

, C

ontro

lling

the

Dire

ctio

n of

a D

C M

otor

D

etec

ting

Met

hane

U

sing

a F

our-D

igit

LED

Dis

play

M

odul

es –

file

–eve

nt

SL

O-2

Ite

ratin

g ov

er D

ictio

narie

s U

sing

a U

nipo

lar S

tepp

er M

otor

D

ata

shee

t ana

lysi

s o

f ga

s se

nsor

D

ispl

ayin

g M

essa

ges

on a

n I2

C L

ED

mat

rix w

ith d

ata

she

et d

iscu

ssio

n M

odul

es –

file

–eve

nt

S-7

-8

SL

O-1

L

ab 3

: P

rog

ram

on

list

L

ab 9

: P

rog

ram

min

g o

n S

tep

per

Mo

tor

L

ab 1

5: P

rog

ram

min

g o

n li

gh

t se

nso

r

Lab

21:

Pro

gra

mm

ing

on

Fo

ur-

Dig

it L

ED

D

isp

lay

Lab

27:

Pro

gra

mm

ing

on

no

de

js H

TM

L

mo

du

le

SL

O-2

L

ab 4

: P

rog

ram

on

Dic

tio

nar

y L

ab 1

0: P

rog

ram

min

g o

n D

C M

oto

r L

ab 1

6: P

rog

ram

min

g o

n G

as s

enso

r

Lab

22:

Pro

gra

mm

ing

on

I2C

LE

D

mat

rix

Lab

28:

Pro

gra

mm

ing

on

no

de

js f

ile

and

eve

nt

mo

du

le

S-9

S

LO

-1

Con

trollin

g H

ardw

are-

Con

nect

ing

an L

ED-

Con

trollin

g th

e Br

ight

ness

of a

n LE

D

Usi

ng a

Bip

olar

Ste

pper

Mot

or

Mea

surin

g a

Volta

ge u

sing

MC

P300

8 An

d

data

she

et o

f M

CP3

008

Dis

play

ing

Mes

sage

s on

an

Alph

anum

eric

LC

D

LED

blin

king

usi

ng n

ode.

js

SL

O-2

a

Buzz

ing

Soun

d Bu

ildin

g a

Sim

ple

Rob

ot R

over

U

sing

Res

istiv

e Se

nsor

s w

ith a

n AD

C

Dis

play

ing

Mes

sage

s on

an

Alph

anum

eric

LC

D

LED

blin

king

usi

ng n

ode.

js

S-1

0 S

LO

-1

Switc

hing

a H

igh-

Pow

er D

C D

evic

e U

sing

a

Tran

sist

or

Dig

ital I

nput

s-C

onne

ctin

g a

Push

Sw

itch-

Togg

ling

with

a P

ush

Switc

h-U

sing

a T

wo-

Posi

tion

Togg

le o

r Slid

e Sw

itch

Mea

surin

g Te

mpe

ratu

re w

ith a

n AD

C

Clo

ud s

ervi

ce fo

r IO

T bu

ildin

g ja

va s

crip

t clie

nt u

sing

MQ

TT

brok

er

SL

O-2

Sw

itchi

ng a

Hig

h-Po

wer

Dev

ice

Usi

ng a

R

elay

U

sing

a R

otar

y (Q

uadr

atur

e) E

ncod

er a

nd

Usi

ng a

Key

pad

Mea

surin

g Ac

cele

ratio

n an

d da

ta s

heet

di

scus

sion

of A

ccel

erat

ion

sens

or

Clo

ud s

ervi

ce fo

r IO

T bu

ildin

g ja

va s

crip

t clie

nt u

sing

MQ

TT

brok

er

S-1

1,

12

SL

O-1

L

ab 5

: L

ED

blin

kin

g a

nd

Bri

gh

tnes

s co

ntr

ol

Lab

11:

Pro

gra

mm

ing

on

Sw

itch

L

ab 1

7: P

rog

ram

min

g o

n A

DC

L

ab 2

3: P

rog

ram

min

g o

n a

n

Alp

han

um

eric

LC

D

Lab

29:

Pro

gra

mm

ing

on

LE

D b

linki

ng

u

sin

g n

od

e.js

SL

O-2

L

ab 6

: S

wit

chin

g a

Hig

h-P

ow

er D

C

Dev

ice

Lab

12:

Pro

gra

mm

ing

on

Key

pad

L

ab 1

8: P

rog

ram

min

g o

n M

easu

rin

g

Acc

eler

atio

n

Lab

24:

Pro

gra

mm

ing

on

an

A

lph

anu

mer

ic L

CD

L

ab 3

0: B

uild

ing

java

scr

ipt

clie

nt

usi

ng

M

QT

T b

roke

r

Lea

rnin

g

Res

ou

rces

1.

Sim

on M

onk,

“Ras

pber

ry P

i Coo

kboo

k”, O

’Rei

lly M

edia

, Inc

, 201

4.

2.

Volk

er Z

iem

ann,

“A H

ands

-On

Cou

rse

in S

enso

rs U

sing

the

Ardu

ino

and

Ras

pber

ry P

i, C

RC

Pr

ess,

201

8.

3.

Col

in D

ow, “

Inte

rnet

of T

hing

: Pro

gram

min

g Pr

ojec

ts -B

uild

mod

ern

IoT

solu

tions

with

the

Ras

pber

ry P

i 3

and

Pyth

on”,p

ackt

pub

2018

. 4.

ht

tps:

//thi

ngsb

oard

.io/d

ocs/

5.

ht

tps:

//ww

w.w

3sch

ools

.com

/nod

ejs/

node

js_r

aspb

erry

pi_b

linki

ng_l

ed.a

sp

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

.,

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

2

Co

urs

e D

esig

ner

s

E

xper

ts fr

om In

dust

ry

Exp

erts

from

Hig

her

Tec

hnic

al In

stitu

tions

In

tern

al E

xper

ts

1. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

1.

Dr.

P. V

ijaya

kum

ar, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

3

Co

urs

e C

od

e 18

EC

O11

0J

Co

urs

e N

ame

3D P

rin

tin

g H

ard

war

e an

d S

oft

war

e C

ou

rse

Cat

ego

ry

E P

rofe

ssio

nal

Ele

ctiv

e L

T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

the

tool

s av

aila

ble

for 3

D p

rintin

g

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Fam

iliariz

e w

ith 3

D d

esig

n so

ftwar

e an

d ha

rdw

are





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



Techniques


CL

R-3

:

Und

erst

and

the

3D d

esig

n cr

iteria

and

its

limita

tions

.

CL

R-4

:

Lear

n th

e co

ntem

pora

ry te

chno

logy

ava

ilabl

e fo

r 3D

des

ign

and

prin

ting

CL

R-5

:

Und

erst

and

vario

us p

ost p

roce

ssin

g m

etho

ds in

volv

ed in

3D

prin

ting

tech

nolo

gy

CL

R-6

:

Dev

elop

the

skills

et o

n 3D

com

pone

nt d

esig

n an

d de

velo

pmen

t usi

ng c

onte

mpo

rary

com

mer

cial

sof

twar

e an

d ha

rdw

are

avai

labl

e.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Appl

y th

e 3D

prin

ting

tool

s fo

r com

pone

nts

desi

gn

1 80

60

M

M

C

LO

-2 :

Ab

le to

opt

imis

tical

ly s

elec

t the

3D

des

ign

softw

are

and

hard

war

e fo

r the

giv

en p

robl

em

1 80

60

M

H

C

LO

-3 :

C

apab

ility

to s

olve

3D

des

ign

com

pone

nts

desi

gn p

robl

ems

2 75

60

M

M

M

CL

O-4

:

Cho

ose

the

con

tem

pora

ry te

chno

logy

ava

ilabl

e fo

r 3D

des

ign

and

prin

ting

3 80

60

M

M

L C

LO

-5 :

Ap

ply

vario

us p

ost p

roce

ssin

g m

etho

ds in

volv

ed in

3D

prin

ting

tech

nolo

gy

2 80

60

H

CL

O-6

:

Abilit

y to

dev

elop

the

skills

et o

n 3D

com

pone

nt d

esig

n an

d de

velo

pmen

t usi

ng c

onte

mpo

rary

com

mer

cial

sof

twar

e an

d ha

rdw

are

avai

labl

e.

2 80

60

M

M

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

s to

3D

des

ign

to

ols

T

hre

e-d

imen

sio

nal

(3D

) M

od

elin

g

3D D

esig

n F

un

dam

enta

ls a

nd

Pro

ject

s

3D P

rin

tin

g a

nd

its

Tec

hn

olo

gie

s

Po

st P

roce

ssin

g -

Pro

du

ct V

isu

aliz

atio

n

and

Pri

nt

Cle

anin

g

S-1

SLO

-1

Intro

duct

ion

to M

aya

GU

I - O

bjec

t cre

atio

n w

orkf

low

, C

onst

ruct

ing

obje

ct p

rimiti

ves

to

scal

e an

d w

ith a

ccur

acy

An o

verv

iew

of C

AD s

oftw

are

pack

ages

- In

trodu

ctio

n to

Fus

ion

360

- Dra

win

g ba

sed

wor

kflo

w, D

raw

ing

cons

train

ts -

Surfa

cing

op

erat

ions

.

The

good

, the

bad

, and

the

ugly

of d

esig

n H

isto

ry o

f 3D

prin

ting

- Ove

rvie

w o

f 3D

Pr

intin

g te

chno

logi

es

Wor

kflo

ws

for p

rintin

g S

LO-2

S-2

S

LO-1

D

uplic

atio

n an

d ar

raye

d du

plic

atio

n - G

rid

and

poin

t/ver

tex

snap

ping

M

ovin

g Pa

rts a

nd A

rticu

latio

n H

inge

s - B

all

and

sock

ets

Prom

inen

t Des

igne

rs

Sele

ctiv

e La

ser S

inte

ring

(SLS

) D

irect

M

etal

Las

er S

inte

ring

(DM

LS)

Softw

are

and

Driv

ers

- For

mat

s fo

r Prin

ting

(SLA

, OBJ

, CAD

, etc

.)

SLO

-2

S

3-4

SLO

-1

Und

erst

andi

ng N

UR

BS:

NU

RBS

Sur

face

s ad

vant

ages

, Si

mila

ritie

s an

d di

ffere

nces

be

twee

n N

UR

BS a

nd C

AD d

raw

ings

Cur

ve

and

surfa

ce c

onst

ruct

ion

Cre

atin

g a

part

nega

tive,

Cre

atin

g Te

xt in

M

aya

the

prop

er w

ay (N

UR

BS C

urve

s,

surfa

ce lo

fts, c

onve

rsio

n to

pol

ygon

) Pa

inte

rly to

ols

(Scu

lpt G

eom

etry

Too

l, et

c.)

Fran

chis

es S

ucce

ss s

torie

s, P

op c

ultu

re

Vacu

um fo

rmin

g - R

esin

cas

ting

- Inj

ectio

n M

oldi

ng -

Term

s an

d st

anda

rds

for

inje

ctio

n m

oldi

ng s

yste

ms

Post

and

Exp

ort P

rint L

ab s

etup

S

LO-2

S-5

S

LO-1

U

nder

stan

ding

3D

geo

met

ry -

Mod

elin

g w

orkf

low

s fo

r Pol

ygon

s - A

dditi

ve v

s.

Subt

ract

ive

Tool

s - M

esh

editi

ng

Flex

ibilit

y an

d el

astic

ity,

Lock

s, b

olts

, and

fa

sten

ers

Thre

adin

g (ta

ps a

nd d

ies)

Ea

rly d

ecis

ion

mak

ing

crite

ria

Fuse

d D

epos

ition

Mod

elin

g (F

DM

) -St

ereo

litho

grap

hy (S

LA)

Cle

anup

and

airt

ight

mod

elin

g S

LO-2

S-6

SLO

-1

Best

Pra

ctic

es fo

r con

stru

ctin

g pr

inta

ble

poly

gon

mes

hes

Inte

rfaci

ng, s

uppo

rt, a

nd re

info

rcem

ent

Know

ing

the

prod

uct

Lam

inat

ed O

bjec

t Man

ufac

turin

g (L

OM

) -

Elec

tron

Beam

Mel

ting

(EBM

) Lo

adin

g m

odel

s an

d ar

rang

ing

prin

t sta

ge

SLO

-2

Fund

amen

tal S

truct

ure

- Com

bini

ng,

mer

ging

, and

sew

ing

up p

olyg

on m

eshe

s

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

4

S

7-8

SLO

-1

Best

Pra

ctic

es fo

r con

stru

ctin

g pr

inta

ble

poly

gon

mes

hes

- Fun

dam

enta

l Stru

ctur

e -

Com

bini

ng, m

ergi

ng, a

nd s

ewin

g up

po

lygo

n m

eshe

s

How

the

mod

elin

g so

ftwar

e pa

ckag

es d

iffer

fro

m C

AD p

acka

ges,

Ske

tch/

draw

ing

base

d w

orkf

low

s, S

imila

ritie

s an

d di

ffere

nces

bet

wee

n C

AD a

nd N

UR

BS.

Brai

nsto

rmin

g an

d cr

itiqu

e in

the

early

de

sign

pha

se G

roup

crit

ique

s of

in-

prog

ress

pro

ject

s

Prin

ting

Res

olut

ions

and

Tol

eran

ces

Mat

eria

ls P

rope

rties

(Tem

pera

ture

, Fl

exib

ility,

Stre

ngth

, Brit

tlene

ss)

Prin

ting

- Rem

ovin

g su

ppor

t mat

eria

l S

LO-2

S-9

S

LO-1

U

nder

stan

ding

two-

man

ifold

vs.

non

-m

anifo

ld g

eom

etry

Fo

rm a

nd fu

nctio

n vi

sual

izin

g th

e as

sem

bly

proc

ess

Ea

rly d

ecis

ion-

mak

ing

crite

ria K

now

ing

the

prod

uct V

isio

n an

d R

ealit

y 3D

Prin

ting

(3D

P) –

Sel

ectiv

e la

ser m

eltin

g (S

LM)

Spec

ial t

opic

s –

3D S

cann

ers

and

its ty

pes

SLO

-2

Expo

rting

geo

met

ry -

Layi

ng o

ut a

sim

ple

mod

el o

n a

stag

e fo

r prin

t

S-1

0

SLO

-1

Hol

low

form

s an

d th

e im

porta

nce

of

redu

cing

vol

ume

Cos

t of s

ize,

cos

t of

volu

me,

cos

t of d

etai

l, co

st o

f tim

e St

ate

tabl

e

Com

plex

inte

ract

ions

and

mot

oriz

atio

ns

Cal

cula

ting

the

tota

l cos

t Pro

gres

s ch

ecks

an

d gr

oup

criti

ques

of i

n-pr

ogre

ss p

roje

cts

Fina

l cle

anup

and

pro

cess

ing

of fi

les

for

prin

ting

Rev

erse

eng

inee

ring,

Con

cept

s an

d its

ha

rdw

are

and

softw

are

SLO

-2

S

11-1

2

SLO

-1

Cle

an a

nd u

nifo

rm to

polo

gy,

Illus

trato

r, IG

ES, a

nd o

ther

impo

rt/ex

port

pipe

lines

Broa

d ov

ervi

ew o

f man

ufac

turin

g te

chni

ques

Mol

ding

, scu

lptin

g, la

thin

g,

lofti

ng, w

eldi

ng, c

uttin

g, d

rillin

g, g

luin

g, e

tc

Brai

nsto

rmin

g an

d cr

itiqu

e in

the

early

de

sign

pha

se G

roup

crit

ique

s of

in-

prog

ress

pro

ject

s

Plan

ning

for i

njec

tion

mol

ding

- 3D

Prin

ting

for i

njec

tion

mol

ding

Hig

h sp

eed

mac

hini

ng

SLO

-2

Lea

rnin

g

Res

ou

rces

1.

Hod

Lip

son,

Mel

ba K

urm

an, F

abric

ated

: The

New

Wor

ld o

f 3D

Prin

ting,

Wile

y, 2

013

2.

M

atth

ew G

riffin

, Des

ign

and

Mod

elin

g fo

r 3D

Prin

ting,

Mak

er M

edia

, Inc

., 20

13.

3.

Rob

Tho

mps

on, M

anuf

actu

ring

Proc

esse

s fo

r Des

ign

Prof

essi

onal

s, T

ham

es &

Hud

son;

Rep

rint e

ditio

n, 2

007.

4.

ht

tps:

//web

.sta

nfor

d.ed

u/cl

ass/

me1

37/

5.

Solid

Wor

ks G

alle

ry: h

ttp://w

ww

.3dc

onte

ntce

ntra

l.com

/def

ault.

aspx

6.

3D A

nato

my

Mod

els:

http

://lif

esci

ence

db.jp

/bp3

d/?l

ng=e

n 7.

Au

toD

esk

Fusi

on36

0 H

omeP

age:

http

://fu

sion

360.

auto

desk

.com

8.

In

tern

atio

nal J

ourn

al o

f Rap

id M

anuf

actu

ring

9.

Acad

emic

Jou

rnal

s on

3D

Prin

ting

10.

Inte

rnat

iona

l Jou

rnal

of R

apid

Man

ufac

turin

g

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

-

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. M

r. An

uj K

umar

, Bom

bard

ier

Tra

nspo

rtat

ion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

1. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG

, Ann

a U

nive

rsity

, mee

na68

@an

naun

iv.e

du

1. M

r. S

. Kar

uppu

daiy

an, M

echa

nica

l, S

RM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

2.

Dr.

P. E

swar

an, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

5

Co

urs

e C

od

e 18

EC

O12

1T

Co

urs

e N

ame

BA

SIC

BIO

ME

DIC

AL

EN

GIN

EE

RIN

G

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

with

sp

ecia

lizat

ion

in B

iom

edic

al E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Anal

yze

the

scop

es a

nd ro

les

of B

iom

edic

al E

ngin

eerin

g

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Util

ize

biom

edic

al in

stru

men

tatio

n m

odul

es





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO-1: Problem Solving at the interface of Engg. & Medicine PSO-:2: Design & Develop

Medical Devices PSO-3: multidisciplinary

research for health care solu.

CL

R-3

:

Util

ize

med

ical

imag

ing

prin

cipl

es a

nd it

s ap

plic

atio

ns

CL

R-4

:

Anal

yze

the

scop

e of

bio

mec

hani

cs a

nd it

s ap

plic

atio

ns

CL

R-5

:

Util

ize

biom

ater

ials

and

its

appl

icat

ions

C

LR

-6 :

G

ain

the

know

ledg

e ab

out B

iom

edic

al E

ngin

eerin

g

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Anal

yze

the

area

s in

whi

ch b

iom

edic

al e

ngin

eers

can

wor

k 2

85

75

-

- -

- -

- -

- -

- -

L -

- L

CL

O-2

:

Anal

yze

the

basi

c bi

omed

ical

inst

rum

enta

tion

unit

3 85

75

L -

- -

- -

- -

- -

- -

- -

L C

LO

-3 :

An

alyz

e ba

sic

med

ical

imag

ing

prin

cipl

es

3 85

75

M

- -

- -

- -

- -

- -

- -

- -

CL

O-4

:

Appl

y th

e co

ncep

ts o

f bio

mec

hani

cs o

n hu

man

bod

y 3

85

75

L

- -

- -

- -

- -

- -

- -

- L

CL

O-5

:

Iden

tify

dom

ains

whe

re b

iom

edic

al e

ngin

eers

can

wor

k 3

85

75

-

- -

- -

- -

- -

- -

- -

- -

CL

O-6

:

Anal

yze

the

appl

icat

ions

of B

iom

edic

al E

ngin

eer

3 85

75

M

- -

- -

- -

- -

- -

L -

- L

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

to

Bio

med

ical

En

gin

eeri

ng

B

iom

edic

al In

stru

men

tati

on

M

edic

al Im

agin

g s

yste

m

Bio

mec

han

ics

Bio

mat

eria

ls

9 9

9 9

9

S-1

S

LO

-1

Evol

utio

n of

the

mod

ern

heal

th c

are

syst

em

Intro

duct

ion:

Bio

inst

rum

enta

tion

X-R

ay p

rodu

ctio

n In

trodu

ctio

n: P

rinci

pal A

reas

of

Biom

echa

nics

Bi

omat

eria

ls I

ntro

duct

ion

SL

O-2

M

oder

n H

ealth

care

sys

tem

Basi

c Bi

oins

trum

enta

tion

Syst

em

X-R

ay Im

agin

g pr

inci

ple

Fund

amen

tals

of b

iom

echa

nics

an

d qu

alita

tive

anal

ysis

C

lass

ifica

tion

of B

iom

ater

ials

S-2

S

LO

-1

Wha

t is

Biom

edic

al E

ngin

eerin

g Ph

ysio

logi

cal S

yste

ms

of th

e bo

dy

Appl

icat

ion

of X

-ray

imag

ing

Kine

mat

ics

of H

uman

Bod

y M

odel

s Pr

oper

ties

of B

iom

ater

ials

: Mec

hani

cal

SL

O-2

R

oles

pla

yed

by th

e Bi

omed

ical

Eng

inee

rs

Sour

ces

of B

iom

edic

al S

igna

ls

C

T-Im

agin

g pr

inci

ple

Kine

tics

of H

uman

Bod

y M

odel

s Pr

oper

ties

of B

iom

ater

ials

: Che

mic

al

S-3

S

LO

-1

Type

s of

Bio

med

ical

Eng

inee

ring

Orig

in o

f Bio

elec

tric

Sign

als

CT-

Imag

ing

Appl

icat

ions

M

odel

ling

of B

io s

yste

ms

Prop

ertie

s of

Bio

mat

eria

ls: B

iolo

gica

l

SL

O-2

Su

rgic

al in

stru

men

ts a

nd m

edic

al d

evic

es

Orig

in o

f Bio

elec

tric

Sign

als

MR

I- In

trodu

ctio

n

Tiss

ue B

iom

echa

nics

Bi

omed

ical

allo

ys a

nd it

s m

edic

al

appl

icat

ions

- tita

nium

S-4

S

LO

-1

Biom

ater

ials

Va

rious

Ele

ctro

des

used

for p

icki

ng th

e bi

omed

ical

sig

nals

M

RI I

mag

ing

prin

cipl

es

Mod

ellin

g in

Cel

lula

r Bio

mec

hani

cs

Biom

edic

al a

lloys

and

its

appl

icat

ions

- St

ainl

ess

stee

l, C

obal

t-Chr

omiu

m a

lloys

SL

O-2

Bi

omec

hani

cs

Vario

us E

lect

rode

s us

ed fo

r pic

king

the

biom

edic

al s

igna

ls

MR

I Im

agin

g pr

inci

ples

Fl

uid

mec

hani

cs

Intro

duct

ion

to c

eram

ics

S-5

S

LO

-1

Tiss

ue E

ngin

eerin

g

ECG

Intro

duct

ion

MR

I Im

agin

g Ap

plic

atio

ns

Mec

hani

cs o

f the

m

uscu

losk

elet

al s

yste

m im

pact

Al

umin

a, Z

ircon

ia

SL

O-2

N

eura

l Eng

inee

ring

ECG

sys

tem

Blo

ck d

iagr

am a

nd it

s us

es

Ultr

asou

nd b

asic

s M

echa

nics

of B

lood

Ves

sels

Ti

tani

um, H

ydro

xyap

atite

S-6

S

LO

-1

Tele

heal

th

EEG

Intro

duct

ion

Ultr

asou

nd Im

agin

g C

ardi

ac B

iom

echa

nics

G

lass

cer

amic

s

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

6

SL

O-2

Bi

o si

gnal

pro

cess

ing

EEG

sys

tem

Blo

ck d

iagr

am a

nd it

s us

es

Ultr

asou

nd A

pplic

atio

n Bi

omec

hani

cs o

f Che

st a

nd A

bdom

en

Intro

duct

ion

to p

olym

ers

S-7

S

LO

-1

Med

ical

Imag

ing

EMG

Intro

duct

ion

fMR

I Im

agin

g C

ochl

ear M

echa

nics

Ty

pes

of p

olym

ers

SL

O-2

C

ompu

tatio

nal m

odel

ling

EMG

sys

tem

Blo

ck d

iagr

am a

nd it

s us

es

fMR

I Im

agin

g Ap

plic

atio

n D

ynam

ics

of H

uman

Bod

y M

odel

s Bi

odeg

rada

ble

poly

mer

s an

d its

ap

plic

atio

ns

S-8

S

LO

-1

BioM

EMS

Car

diac

pac

emak

ers

and

its u

ses

PET-

Imag

ing

Gai

t ana

lysi

s C

ompo

site

s an

d its

app

licat

ions

SL

O-2

M

obile

PO

CT

Car

diac

Def

ibril

lato

rs a

nd it

s us

es

PET

Imag

ing

Appl

icat

ion

Biom

echa

nics

in p

hysi

cal e

duca

tion

Wou

nd-H

ealin

g pr

oces

s

S-9

S

LO

-1

Prof

essi

onal

Sta

tus

of B

iom

edic

al

Engi

neer

ing

Patie

nt M

onito

ring

Syst

em In

trodu

ctio

n SP

ECT

Imag

ing

Biom

echa

nics

in s

treng

th a

nd c

ondi

tioni

ng

Biom

ater

ials

for a

rtific

ial v

alve

, Ear

SL

O-2

Pr

ofes

sion

al S

ocie

ties

Patie

nt M

onito

ring

Syst

em B

lock

dia

gram

an

d its

use

s SP

ECT

Imag

ing

Appl

icat

ion

Bi

omec

hani

cs in

spo

rts m

edic

ine

and

reha

bilit

atio

n Bi

omat

eria

ls fo

r arti

ficia

l Ski

n, E

ye

Lea

rnin

g

Res

ou

rces

1.

Anth

ony

Y. K

. Cha

n, B

iom

edic

al D

evic

e Te

chno

logy

: Prin

cipl

es a

nd D

esig

n, C

harle

s C

Tho

mas

publ

ishe

r, 20

08

2.

R.S

Kha

ndpu

r, H

andb

ook

of B

iom

edic

al In

stru

men

tatio

n, 3

rd e

d., M

cGra

w H

ill, 2

014

3.

Jose

ph J

. Car

r, Jo

hn M

.Bro

wn,

Intro

duct

ion

to B

iom

edic

al E

quip

men

t Tec

hnol

ogy,

4th

ed.

, Pea

rson

, 200

2

4.

John

End

erle

, Jos

eph

Bron

zino

, Int

rodu

ctio

n to

Bio

med

ical

Eng

inee

ring,

Aca

dem

ic P

ress

, 201

1 5.

An

drew

R W

ebb,

Intro

duct

ion

to B

iom

edic

al Im

agin

g, W

iley-

IEEE

Pre

ss, 2

003

6.

Suja

ta V

. Bha

t, Bi

omat

eria

ls, 2

nd e

d., A

lpha

Sci

ence

Inte

rnat

iona

l, 20

05

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. S

athy

anar

ayan

an J

, Min

dray

Med

ical

Indi

a P

vt L

td, s

athy

anar

ayan

anja

yago

pal@

min

dray

.com

1.

Dr.

S. P

oong

uzha

li, A

nna

Uni

vers

ity, p

oong

s@an

naun

iv.e

du

1. M

s. O

inam

Rob

ita C

hanu

, SR

MIS

T

2. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

2. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

2.

Dr.

D. K

ath

irve

lu, S

RM

IST

3. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

3.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

7

Co

urs

e C

od

e 18

EC

O12

2T

Co

urs

e N

ame

HO

SP

ITA

L IN

FO

RM

AT

ION

SY

ST

EM

S

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

with

sp

ecia

lizat

ion

in B

iom

edic

al E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Util

ize

the

plan

ning

and

org

aniz

atio

nal a

ctiv

ities

of H

ospi

tals

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Anal

yze

the

conc

epts

in c

linic

al a

nd d

iagn

ostic

ser

vice

s





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning




CL

R-3

:

Util

ize

the

polic

ies

and

proc

edur

es a

bout

sup

port

serv

ices

and

mat

eria

l man

agem

ent

CL

R-4

:

Util

ize

the

feat

ures

in s

taff

and

safe

ty m

anag

emen

t in

hosp

ital

CL

R-5

:

Anal

yze

the

repo

rting

sys

tem

and

rece

nt a

dvan

cem

ent i

n ho

spita

l adm

inis

tratio

n

C

LR

-6 :

Ap

ply

all t

he a

dvan

ced

appl

icat

ion

the

field

of t

elem

edic

ine

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Anal

yze

the

role

of h

ospi

tals

and

ens

ure

prop

er h

ealth

care

del

iver

y 2

85

75

L

- -

- -

M

- -

- -

- -

L -

- C

LO

-2 :

Su

gges

t app

ropr

iate

tech

nolo

gies

and

ser

vice

s in

clin

ical

and

dia

gnos

tic fi

eld

3 85

75

M

- -

- -

- -

- -

- -

- L

- -

CL

O-3

:

Anal

yze

the

supp

ortiv

e se

rvic

es a

nd th

e us

e of

pro

per m

ater

ial m

anag

emen

t 3

85

75

M

-

- -

- -

M

L -

- -

- M

-

L C

LO

-4 :

Id

entif

y ob

ject

ives

of s

taff

man

agem

ent a

nd e

nsur

e sa

fety

man

agem

ent i

n ho

spita

ls

3 85

75

M

- -

- -

- -

L -

- -

L L

- -

CL

O-5

:

Impl

emen

t the

adv

ance

tech

nolo

gies

and

effe

ctiv

ely

eval

uate

the

heal

thca

re in

form

atio

n 3

85

75

L

- -

- -

M

- L

L -

- -

L L

L C

LO

-6 :

Im

plem

ent t

he v

ario

us s

tand

ards

in h

ospi

tal a

nd h

ealth

care

ser

vice

s

3 85

75

L -

- -

- M

-

- -

- -

- L

- -

Du

rati

on

(h

ou

r)

Pla

nn

ing

an

d d

esig

nin

g o

f h

osp

ital

s In

pat

ien

t an

d O

utp

atie

nt

serv

ices

M

ater

ial m

anag

emen

t se

rvic

es

Man

agem

ent

serv

ices

in h

osp

ital

s

Pat

ien

t re

cord

an

d a

dva

nce

men

t in

h

ealt

hca

re s

ervi

ces

9 9

9 9

9

S-1

S

LO

-1

Hos

pita

l as

a so

cial

sys

tem

D

esig

n an

d pl

anni

ng o

f em

erge

ncy

depa

rtmen

t

Phar

mac

y se

rvic

es- g

oals

of h

ospi

tal

phar

mac

y se

rvic

es

Hum

an re

sour

ce m

anag

emen

t- H

uman

re

sour

ce d

evel

opm

ent

Med

ical

reco

rd m

anag

emen

t- Im

porta

nce

of m

edic

al re

cord

SL

O-2

Pr

imar

y he

alth

car

e an

d ho

spita

ls

Hea

lth in

form

atio

n an

d co

unse

lling

St

aff o

rgan

izat

ion

and

divi

sion

s of

hos

pita

l ph

arm

acy

serv

ices

H

ospi

tal s

taff

skill

deve

lopm

ent

Met

hods

of r

ecor

d ke

epin

g

S-2

S

LO

-1

Hos

pita

l pla

nnin

g an

d de

sign

-Gui

ding

pr

inci

ples

in p

lann

ing

Out

patie

nt s

ervi

ces

–Typ

es a

nd fu

nctio

ns

of o

utpa

tient

dep

artm

ent

Be

nefit

s of

form

ulat

ory

syst

em

Nur

sing

man

agem

ent-F

unct

ions

of n

ursi

ng

man

agem

ent

Elec

troni

c m

edic

al re

cord

-Ben

efits

and

dr

awba

cks

SL

O-2

R

egio

naliz

atio

n of

Hos

pita

l ser

vice

Ph

ysic

al fe

atur

es o

f out

patie

nt d

epar

tmen

t O

ther

ser

vice

s of

hos

pita

l pha

rmac

y N

ursi

ng m

anag

emen

t- or

gani

zatio

nal

stru

ctur

e R

ecor

d re

tent

ion

and

disp

osal

S-3

S

LO

-1

Rol

e of

hea

lth p

rom

otio

n ap

proa

ch in

ho

spita

ls

War

d/In

door

ser

vice

s-C

ompo

nent

s of

the

war

d sy

stem

Tran

spor

t ser

vice

s-Ty

pes

of a

mbu

lanc

e Bi

omed

ical

was

te m

anag

emen

t- Ty

pes

and

Com

posi

tion

of B

iom

edic

al W

aste

Offi

ce m

anag

emen

t -sk

ills re

quire

d by

the

offic

e st

aff

SL

O-2

H

ealth

pro

mot

ing

hosp

ital s

yste

m

Des

ign

of s

peci

al u

nits

C

omm

unic

atio

n an

d ph

ysic

al fa

cilit

ies

of

ambu

lanc

e se

rvic

e C

ateg

orie

s of

bio

med

ical

was

te

Func

tions

of o

ffice

man

agem

ent

S-4

S

LO

-1

Hea

lthy

hosp

ital e

nviro

nmen

t O

pera

tion

thea

tre s

ervi

ces-

Plan

ning

and

de

sign

ing

of O

pera

tion

thea

tres

Staf

f tra

nspo

rt se

rvic

es

Con

cept

of t

otal

qua

lity

man

agem

ent

Ope

ratio

ns re

sear

ch in

hos

pita

ls-P

hase

s of

op

erat

ion

rese

arch

SL

O-2

C

ompo

nent

s of

hea

lthy

hosp

ital

envi

ronm

ent

Type

s of

Ope

ratio

n th

eatre

s O

ther

tran

spor

t ser

vice

s in

hos

pita

ls

Type

s of

app

roac

hes

in q

ualit

y m

anag

emen

t O

pera

tions

rese

arch

in h

ospi

tals

- Too

ls

and

tech

niqu

es o

f ope

ratio

ns re

sear

ch

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

8

S-5

S

LO

-1

Cre

atin

g m

anpo

wer

ser

vice

s Po

licie

s an

d pr

oced

ures

of o

pera

tion

thea

tres

Med

icol

egal

ser

vice

s- S

teps

for

Med

icol

egal

Exa

min

atio

n Q

ualit

y as

sess

men

t an

d m

anag

emen

t to

ols

Emer

ging

hea

lth in

sura

nce

– co

mpo

nent

s of

hea

lth in

sura

nce

SL

O-2

H

ospi

tal e

ngin

eerin

g:

Key

to e

ffici

ent h

ealth

care

ser

vice

s As

sess

ing

oper

atio

n th

eatre

util

isat

ion

Prob

lem

s fa

ced

by h

ealth

care

pr

ofes

sion

als

in m

edic

oleg

al s

ervi

ce

Clin

ical

aud

it Em

ergi

ng h

ealth

insu

ranc

e-Ty

pes

of h

ealth

in

sura

nce

S-6

S

LO

-1

Des

igni

ng d

isab

led

frien

dly

hosp

itals

- Ba

rrier

s fa

ced

and

impl

icat

ions

in P

erso

ns

with

dis

abilit

ies

Clin

ical

labo

rato

ry s

ervi

ces-

Intro

duct

ion

and

role

of l

abor

ator

y m

edic

ine

Food

saf

ety

in h

ospi

tals

-Nee

d of

food

sa

fety

Q

ualit

y im

prov

emen

t-Cau

se a

nd e

ffect

m

etho

d Ad

vant

ages

and

com

mon

pro

blem

s of

he

alth

insu

ranc

e sc

hem

es

SL

O-2

N

eed

for d

isab

led-

frien

dly

heal

th s

ervi

ces

Test

ing

proc

edur

e in

clin

ical

labo

rato

ry

Sour

ces

of fo

od c

onta

min

atio

n Pa

reto

ana

lysi

s R

ole

of h

ealth

and

hos

pita

l adm

inis

trato

rs

in H

ealth

insu

ranc

e

S-7

S

LO

-1

Barri

er-F

ree

Envi

ronm

ent t

o U

nive

rsal

D

esig

n

Rad

io d

iagn

osis

and

imag

ing

serv

ices

-Pl

anni

ng a

nd e

quip

men

ts o

f rad

iolo

gy

depa

rtmen

t

Mat

eria

ls m

anag

emen

t- Pr

inci

ples

of

mat

eria

l man

agem

ent

Failu

re m

ode

and

effe

ct a

naly

sis

Tele

med

icin

e cl

inic

–fu

nctio

ns a

nd

clas

sific

atio

n of

tele

med

icin

e

SL

O-2

O

verc

omin

g th

e ba

rrier

s Ad

vanc

emen

t in

radi

olog

y se

rvic

e C

once

pts

of In

vent

ory

cont

rol

Trig

gers

of q

ualit

y im

prov

emen

t stra

tegy

in

a ho

spita

l C

halle

nges

for t

elem

edic

ine

S-8

S

LO

-1

Ener

gy c

onse

rvat

ion-

Cla

ssifi

catio

n R

adia

tion

onco

logy

ser

vice

-Rad

ioth

erap

y fa

cilit

ies

Mod

ern

tech

niqu

es fo

r inv

ento

ry c

ontro

l O

ccup

atio

nal s

afet

y-R

oles

and

re

spon

sibi

litie

s G

row

th o

f mob

ile p

hone

s an

d po

tent

ial o

f m

obile

hea

lth

SL

O-2

Ty

pes

of e

nerg

y st

ream

s in

hos

pita

ls

Nuc

lear

med

icin

e se

rvic

es-C

ateg

oriz

atio

n an

d nu

clea

r med

icin

e de

partm

ent

Inte

grat

ed c

once

pt fo

r mat

eria

ls

man

agem

ent

Prev

entio

n of

haz

ards

spe

cific

to h

ealth

se

ctor

M

obile

hea

lth a

nd it

s ap

plic

atio

ns

S-9

S

LO

-1

Nee

d fo

r ene

rgy

cons

erva

tion

Plan

ning

of n

ucle

ar m

edic

ine

depa

rtmen

t Pu

rcha

se a

nd p

rocu

rem

ent s

yste

m-

Esse

ntia

ls fo

r pro

cure

men

t pro

cess

H

ospi

tal s

ecur

ity-P

hysi

cal s

ecur

ity

Cha

lleng

es in

impl

emen

ting

info

rmat

ion

and

Com

mun

icat

ion

tech

nolo

gy in

he

alth

care

SL

O-2

En

ergy

con

serv

atio

n op

portu

nitie

s in

ho

spita

ls

Anci

llary

requ

irem

ents

Pu

rcha

se s

yste

m

Org

aniz

atio

nal c

hart

of s

ecur

ity w

ing

In

form

atio

n an

d co

mm

unic

atio

n te

chno

logy

ap

plic

atio

ns in

hea

lthca

re

Lea

rnin

g

Res

ou

rces

1.

So

nuG

oel,

Anil

Kum

ar G

upta

, Am

arje

et S

ingh

, Hos

pita

l adm

inis

tratio

n A

prob

lem

- sol

ving

ap

proa

ch, 1

st e

d.,

Else

vier

, 201

4 2.

Sa

khar

kar B

M, P

rinci

ples

of h

ospi

tal a

dmin

istra

tion

and

plan

ning

, 2nd

ed.

, Jay

pee

Brot

hers

Med

ical

Pub

lishe

rs, 2

009

3.

Kund

ers

G D

, Hos

pita

ls: F

acilit

ies

plan

ning

and

man

agem

ent,

1st e

d., T

ata

Mcg

raw

Hill,

200

8

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. S

athy

anar

ayan

an J

, Min

dray

Med

ical

Indi

a P

vt L

td, s

athy

anar

ayan

anja

yago

pal@

min

dray

.com

1.

Dr.

S. P

oong

uzha

li, A

nna

Uni

vers

ity, p

oong

s@an

naun

iv.e

du

1. D

r. D

. Ash

okku

mar

, SR

MIS

T

2. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

2. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

2.

Mr.

P. M

uth

u, S

RM

IST

3. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

3.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

13

9

Co

urs

e C

od

e 18

EC

O12

3T

Co

urs

e N

ame

BIO

ME

DIC

AL

IMA

GIN

G

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

with

sp

ecia

lizat

ion

in B

iom

edic

al E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Util

ize

the

wor

king

prin

cipl

e of

X-ra

y im

agin

g

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Anal

yze

the

prin

cipl

e be

hind

tom

ogra

phic

imag

ing

and

the

reco

nstru

ctio

n te

chni

ques





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


Medical Devices PSO-3: multidisciplinary research

for health care solu.

CL

R-3

:

Inte

rpre

t the

theo

ry b

ehin

d nu

clea

r med

icin

e an

d ut

ilize

the

wor

king

of i

mag

ing

mod

aliti

es in

nuc

lear

med

icin

e

CL

R-4

:

Anal

yze

the

phys

ics

of u

ltras

ound

and

the

diffe

rent

imag

ing

mod

es u

sing

ultr

asou

nd

CL

R-5

:

Util

ize

the

phys

ical

prin

cipl

e of

nuc

lear

mag

netic

reso

nanc

e an

d m

agne

tic re

sona

nce

imag

e re

cons

truct

ion

CL

R-6

:

The

lear

ner w

ill be

to g

ain

know

ledg

e in

the

wor

king

prin

cipl

e of

imag

ing

mod

aliti

es u

sing

X-ra

y, c

ompu

ted

tom

ogra

phy,

nu

clea

r med

icin

e, u

ltras

ound

and

mag

netic

reso

nanc

e im

agin

g.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Anal

yze

the

phys

ics

and

prin

cipl

e be

hind

the

wor

king

of X

-ray

imag

ing

2

85

75

M

-

- -

- -

- -

- -

- -

M

- -

CL

O-2

:

Iden

tify

the

prin

cipl

e be

hind

wor

king

of t

omog

raph

ic im

agin

g an

d re

cons

truct

ion

proc

edur

es.

3 85

75

M

- -

- -

- -

- -

- -

- M

-

- C

LO

-3 :

An

alyz

e th

e w

orki

ng p

rinci

ple

of n

ucle

ar m

edic

ine

imag

ing

mod

aliti

es

3 85

75

M

- -

- -

- -

- -

- -

- M

-

- C

LO

-4 :

Id

entif

y th

e ph

ysic

s of

ultr

asou

nd a

nd th

e m

odes

of u

ltras

ound

imag

ing

3 85

75

M

- -

- -

- -

- -

- -

- M

-

- C

LO

-5 :

Ex

plai

n th

e ph

ysic

al p

rinci

ple

of m

agne

tic re

sona

nce

imag

ing

and

the

inst

rum

enta

l com

pone

nts

invo

lved

in M

R im

agin

g 3

85

75

M

-

- -

- -

- -

- -

- -

M

- -

CL

O-6

:

Und

erst

and

the

basi

c pr

inci

ple

and

wor

king

of m

edic

al Im

agin

g sy

stem

s 3

85

75

M

-

- -

- -

- -

- -

- -

M

- -

Du

rati

on

(h

ou

r)

X-r

ay

Co

mp

ute

d T

om

og

rap

hy

Ult

raso

un

d

Mag

net

ic R

eso

nan

ce Im

agin

g

Nu

clea

r m

edic

ine

9 9

9 9

9

S-1

S

LO

-1

Gen

eral

prin

cipl

es o

f Im

agin

g w

ith X

-rays

In

trodu

ctio

n: T

omog

raph

ic Im

agin

g C

hara

cter

istic

s of

sou

nd: P

ropa

gatio

n,

wav

elen

gth,

freq

uenc

y an

d sp

eed

Prin

cipl

es o

f NM

R Im

agin

g R

adio

nucl

ide

deca

y te

rms

and

rela

tions

hip

SL

O-2

X-

ray

Prod

uctio

n –X

-ray

sour

ce

Com

paris

on b

etw

een

tom

ogra

phic

and

pl

anar

imag

ing

Pres

sure

, Int

ensi

ty a

nd d

B sc

ale

Free

Indu

ctio

n de

cay

Nuc

lear

tran

sfor

mat

ion

S-2

S

LO

-1

X-ra

y tu

be c

urre

nt, t

ube

outp

ut

Basi

c pr

inci

ple:

Tec

hniq

ue o

f pro

duci

ng C

T im

ages

Inte

ract

ion

of u

ltras

ound

with

mat

ter:

Acou

stic

impe

danc

e, re

flect

ion,

refra

ctio

n Ex

cita

tion,

Em

issi

on

Rad

ionu

clid

e pr

oduc

tion

SL

O-2

Be

am in

tens

ity, X

-ray

Ener

gy S

pect

rum

Con

trast

sca

le

Scat

terin

g, A

ttenu

atio

n R

elax

atio

n tim

es-T

1 &

T2

Rad

ioph

arm

aceu

tical

s

S-3

S

LO

-1

Coh

eren

t and

Com

pton

sca

tterin

g Sy

stem

com

pone

nts:

firs

t gen

erat

ion,

se

cond

gen

erat

ion,

third

gen

erat

ion,

Tr

ansd

ucer

s: P

iezo

elec

tric

mat

eria

ls,

reso

nanc

e tra

nsdu

cers

Sp

in e

cho

tech

niqu

e R

adia

tion

dete

ctio

n an

d m

easu

rem

ent:

type

s of

det

ecto

rs, G

as-fi

lled

dete

ctor

s

SL

O-2

Ph

otoe

lect

ric e

ffect

Four

th, f

ifth

and

spira

l/hel

ical

CT

Dam

ping

blo

ck, m

atch

ing

laye

r, R

esol

utio

n Sp

in e

cho

cont

rast

wei

ghtin

g Sc

intil

latio

n de

tect

ors

S-4

S

LO

-1

Line

ar a

nd M

ass

atte

nuat

ion

coef

ficie

nt o

f X-

rays

in ti

ssue

X-

ray

sour

ce, t

ypes

of d

etec

tors

Tr

ansd

ucer

arra

ys

T1 w

eigh

ted

imag

e Se

mic

ondu

ctor

det

ecto

rs

SL

O-2

In

stru

men

tatio

n fo

r Pla

nar X

-ray

Imag

ing:

C

ollim

ator

s

Gan

try a

nd s

lip ri

ng te

chno

logy

, C

ollim

atio

n an

d fil

tratio

n M

ulti-

elem

ent l

inea

r arra

y sc

anne

rs

T2 w

eigh

ted

imag

e

Puls

e he

ight

spe

ctro

scop

y

S-5

S

LO

-1

Antis

catte

r grid

s In

tens

ifyin

g sc

reen

s

Proc

essi

ng s

yste

m

Mul

ti-lin

ear a

nd p

hase

d ar

ray

Gra

dien

t rec

alle

d se

quen

ce

Non

-imag

ing

dete

ctor

app

licat

ions

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

0

SL

O-2

X-

ray

film

s

Itera

tive

reco

nstru

ctio

n, b

ack

proj

ectio

n re

cons

truct

ion

Gen

erat

ion

and

dete

ctio

n of

ultr

asou

nd

Prot

on d

ensi

ty w

eigh

ted

imag

es, p

ulse

se

quen

ce fo

r fas

t im

agin

g

Cou

ntin

g st

atis

tics

S-6

S

LO

-1

Inst

rum

enta

tion

for c

ompu

ted

and

digi

tal

radi

ogra

phy

Fi

ltere

d ba

ck p

roje

ctio

n Ba

sic

puls

e ec

ho a

ppar

atus

: A-s

can

Sl

ice

sele

ctio

n gr

adie

nt

Nuc

lear

imag

ing

SL

O-2

X-

ray

Imag

e ch

arac

teris

tics:

Sig

nal t

o N

oise

ratio

H

elic

al /S

pira

l CT:

Hel

ical

pitc

h B-

Mod

e

Freq

uenc

y en

code

gra

dien

t An

ger s

cint

illatio

n ca

mer

a

S-7

S

LO

-1

Spat

ial r

esol

utio

n, C

ontra

st to

Noi

se ra

tio

Basi

c re

cons

truct

ion

appr

oach

es

M-m

ode

Ph

ase

enco

de g

radi

ent

Basi

c pr

inci

ple

:Em

issi

on c

ompu

ted

tom

ogra

phy

SL

O-2

X-

ray

cont

rast

age

nts,

X-ra

y an

giog

raph

y

Slic

e se

nsiti

vity

pro

file

Ec

hoca

rdio

grap

h 2D

spi

n ec

ho d

ata

acqu

isiti

on

Sing

le p

hoto

n em

issi

on c

ompu

ted

tom

ogra

phy

S-8

S

LO

-1

X-ra

y Fl

uoro

scop

y M

ultis

lice

CT

D

uple

x sc

anne

r Ba

sic

NM

R c

ompo

nent

s: M

ain

mag

net,

RF

trans

mitt

er/re

ceiv

er

Posi

tron

emis

sion

tom

ogra

phy

SL

O-2

X-

ray

mam

mog

raph

y

Det

ecto

r con

figur

atio

n In

trava

scul

ar im

agin

g Bo

dy c

oils

, gra

dien

t coi

ls

Imag

ing

tech

niqu

es a

nd s

cann

er

inst

rum

enta

tion

S-9

S

LO

-1

Dua

l ene

rgy

Imag

ing

M

easu

rem

ent o

f X-ra

y do

sage

Ar

tefa

cts:

Ref

ract

ion,

sha

dow

ing

and

enha

ncem

ent

fMR

I : B

asic

prin

cipl

e D

ual m

odal

ity: P

ET/C

T

SL

O-2

Ab

dom

inal

X-ra

y sc

ans

Met

hods

for d

ose

redu

ctio

n

Rev

erbe

ratio

n BO

LD c

once

pt, M

R s

pect

rosc

opy

Wor

king

and

app

licat

ions

Lea

rnin

g

Res

ou

rces

1.

R

.S.K

hand

pur,

Han

dboo

k of

Bio

med

ical

inst

rum

enta

tion,

3rd

ed.

, Tat

a M

cGra

w H

ill, 2

014

2.

Jerro

ld T

. Bus

hber

g, J

ohn

M. B

oone

, The

ess

entia

l phy

sics

of m

edic

al im

agin

g, 3

rd e

d., L

ippi

ncot

t Willi

ams

& W

ilkin

s, 2

011

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. S

athy

anar

ayan

an J

, Min

dray

Med

ical

Indi

a P

vt L

td, s

athy

anar

ayan

anja

yago

pal@

min

dray

.com

1.

Dr.

S. P

oong

uzha

li, A

nna

Uni

vers

ity, p

oong

s@an

naun

iv.e

du

1. D

r. T

. Jay

anth

i, S

RM

IST

2. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

2. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

2.

Dr.

U. S

nek

hal

ath

a, S

RM

IST

3. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

3.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

1

Co

urs

e C

od

e 18

EC

O12

4T

Co

urs

e N

ame

HU

MA

N A

SS

IST

DE

VIC

ES

C

ou

rse

Cat

ego

ry

O

Ope

n El

ectiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

with

sp

ecia

lizat

ion

in B

iom

edic

al E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Util

ize

the

late

st te

chno

logy

and

dev

ice

used

for a

ssis

ting

hum

an d

isab

ility

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Anal

yze

vario

us d

evic

es u

sed

for m

obilit

y





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning




CL

R-3

:

Util

ize

the

vario

us a

ssis

t dev

ice

used

for h

earin

g

CL

R-4

:

Util

ize

the

vario

us a

ssis

t dev

ice

used

for v

isio

n

CL

R-5

:

Util

ize

the

vario

us a

ssis

t dev

ice

used

in o

rthop

aedi

c

C

LR

-6 :

An

alyz

e th

e w

orki

ng p

rinci

ples

of c

ardi

ac a

ssis

t dev

ices

and

Arti

ficia

l kid

ney

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Com

preh

end

the

assi

stiv

e te

chno

logy

(AT)

use

d fo

r mob

ility

2

85

75

M

-

- -

- -

- -

- -

- -

M

- -

CL

O-2

:

Anal

yze

the

Assi

st te

chno

logy

use

d fo

r hea

ring

3 85

75

M

- -

- -

- -

- -

- -

- -

L -

CL

O-3

:

Eval

uate

the

Assi

st te

chno

logy

use

d fo

r sen

sory

impa

irmen

t of v

isio

n

3 85

75

- -

- -

- -

- -

- -

- -

- L

- C

LO

-4 :

Ev

alua

te th

e as

sist

dev

ice

used

in o

rthop

edic

3

85

75

M

-

- -

- -

- -

- -

- -

M

L -

CL

O-5

:

Anal

yze

the

late

st u

se o

f ass

ist t

echn

olog

y in

hea

lth c

are

3 85

75

M

- -

- -

- -

- -

- -

- M

-

- C

LO

-6 :

D

esig

n th

e pr

osth

etic

hea

rt va

lves

and

pac

emak

er

3 85

75

M

- -

- -

- -

- -

- -

- M

-

-

Du

rati

on

(h

ou

r)

9 9

9 9

9

S-1

S

LO

-1

Basi

c as

sess

men

t and

eva

luat

ion

for

mob

ility

Basi

c ea

r ana

tom

y, M

echa

nism

of h

earin

g An

atom

y of

eye

An

atom

y of

upp

er &

low

er e

xtre

miti

es -

Basi

c An

atom

y an

d ph

ysio

logy

of h

eart.

SL

O-2

Ba

sic

asse

ssm

ent a

nd e

valu

atio

n fo

r m

obilit

y C

omm

on te

sts

audi

ogra

ms

Cat

egor

ies

of v

isua

l im

pairm

ent

Cla

ssifi

catio

n of

am

puta

tion

type

s C

ardi

ac a

ssis

t dev

ices

S-2

S

LO

-1

Man

ual w

heel

chai

rs

Air c

ondu

ctio

n, B

one

cond

uctio

n In

traoc

ular

Dev

ices

Pros

thes

is p

resc

riptio

n In

tra-A

ortic

Bal

loon

Pum

p (IA

BP),

SL

O-2

El

ectri

c po

wer

whe

elch

airs

Mas

king

tech

niqu

es,

Extra

ocul

ar D

evic

es

Han

d an

d ar

m re

plac

emen

t Pr

osth

etic

hea

rt va

lves

S-3

S

LO

-1

Pow

er a

ssis

ted

whe

elch

airs

SI

SI

Perm

anen

t Vis

ion

Res

tora

tion

Diff

eren

t typ

es o

f mod

els,

ext

erna

lly

pow

ered

lim

b pr

osth

esis

Ev

alua

tion

of p

rost

hetic

val

ve

SL

O-2

W

heel

cha

ir st

anda

rds

& te

sts

- H

earin

g ai

ds p

rinci

ples

N

on-P

erm

anen

t Vis

ion

Res

tora

tion

Diff

eren

t typ

es o

f mod

els,

ext

erna

lly

pow

ered

lim

b pr

osth

esis

H

eart

pace

mak

er

S-4

S

LO

-1

Whe

el c

hair

trans

porta

tion

Dra

wba

cks

in th

e co

nven

tiona

l uni

t Vo

ice

Con

trol S

ound

Con

trol.

Foot

orth

osis

C

ABG

SL

O-2

C

ontro

l sys

tem

s, n

avig

atio

n in

virt

ual

spac

e by

whe

elch

airs

DSP

bas

ed h

earin

g ai

ds

Sens

or T

echn

olog

y Ad

apte

d fo

r the

Vis

ion

Impa

ired

Pedi

atric

orth

oses

Ex

traco

rpor

eal s

uppo

rt

S-5

S

LO

-1

Whe

el c

hair

seat

ing

and

pres

sure

ulc

ers.

C

ochl

ear I

mpl

ants

Li

brai

lle

Wris

t-han

d or

thos

is

Vasc

ular

pro

sthe

sis

SL

O-2

EO

G b

ased

voi

ce c

ontro

lled

whe

elch

air

Inte

rnal

Hea

ring

Aid

GR

AB

feed

back

in o

rthot

ic s

yste

m

Vasc

ular

pro

sthe

sis

S-6

S

LO

-1

BCI b

ased

whe

elch

air

Exte

rnal

Hea

ring

Aid

mat

hem

atic

al B

raille

C

ompo

nent

s of

upp

er li

mb

pros

thes

is

Artif

icia

l hea

rt

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

2

SL

O-2

Fu

zzy

logi

c ex

pert

syst

em fo

r aut

omat

ic

tuni

ng o

f myo

elec

tric

pros

thes

es

Perm

anen

t Hea

ring

Res

tora

tion

Blin

d m

obilit

y ai

ds

Com

pone

nts

of lo

wer

lim

b pr

osth

esis

In

term

itten

t pos

itive

pre

ssur

e br

eath

ing

(IPPB

) typ

e as

sist

ance

for l

ungs

S-7

S

LO

-1

Inte

lligen

t pro

sthe

sis

Non

-Per

man

ent H

earin

g R

esto

ratio

n R

eadi

ng w

ritin

g &

grap

hics

acc

ess,

Lo

wer

ext

rem

ity- a

nd u

pper

ext

rem

ity-

orth

oses

D

ialy

sis

for k

idne

ys

SL

O-2

In

tellig

ent p

rost

hesi

s To

uch

Tact

ile H

aptic

Tec

hnol

ogy

Orie

ntat

ion

& na

viga

tion

Aids

Lo

wer

ext

rem

ity- a

nd u

pper

ext

rem

ity-

orth

oses

Ar

tific

ial K

idne

y

S-8

S

LO

-1

Futu

re tr

ends

in a

ssis

tive

tech

nolo

gy

Soun

d C

odin

g Tr

ansl

atio

n W

eara

ble

Assi

stiv

e D

evic

es fo

r the

Blin

d fu

nctio

nal e

lect

rical

stim

ulat

ion

Hae

mod

ialy

sis

SL

O-2

vi

rtual

real

ity b

ased

trai

ning

sys

tem

for

disa

bled

chi

ldre

n Ac

oust

ic T

rans

duce

rs H

earin

g Q

ualit

y W

eara

ble

tact

ile d

ispl

ay fo

r the

fing

ertip

. Se

nsor

y as

sist

dev

ices

M

embr

ane

dial

ysis

S-9

S

LO

-1

Info

rmat

ion

tech

nolo

gy,

tele

com

mun

icat

ions

, El

ectri

c El

ectro

nic

Stim

ulat

ion

Cor

tical

impl

ants

Se

nsor

y as

sist

dev

ices

Po

rtabl

e di

alys

is m

onito

ring

and

func

tiona

l pa

ram

eter

SL

O-2

ne

w m

edia

in a

ssis

ting

heal

thca

re

Hea

ring

Enha

ncem

ent

Ret

inal

impl

ants

Sl

ints

– m

ater

ials

use

d La

test

use

of a

ssis

tive

tech

nolo

gy fo

r ch

roni

c he

art d

isea

ses

and

heal

thca

re

Lea

rnin

g

Res

ou

rces

1.

Levi

ne S

.N. A

dvan

ces

in B

io-m

edic

al e

ngin

eerin

g an

d M

edic

al p

hysi

cs, 1

st e

d., V

ol. I

, II,

IV, I

nter

univ

ersi

ty

publ

icat

ions

, 196

8.

2.

Mar

ion.

A. H

ersh

, Mic

hael

A. J

ohns

on, A

ssis

tive

Tech

nolo

gy fo

r vis

ually

impa

ired

and

blin

d, 1

st e

d., S

prin

ger

Scie

nce

& Bu

sine

ss M

edia

, 201

0

3.

Kopf

f W.J

, Arti

ficia

l Org

ans,

1st e

d., J

ohn

Wile

y an

d So

ns, 1

976

4.

Dan

iel G

olds

tein

, Meh

met

Oz,

Car

diac

ass

ist D

evic

es, W

iley,

200

0 5.

Ke

nnet

h J.

Tur

ner,

Adva

nces

in H

ome

Car

e Te

chno

logi

es: R

esul

ts o

f the

mat

ch P

roje

ct, 1

st e

d., S

prin

ger,

2011

6.

Albe

rt M

.Coo

k, W

ebst

er J

.G, T

hera

peut

ic M

edic

al D

evic

es, P

rent

ice

Hal

l Inc

.,198

2 7.

G

err .

M. C

radd

ock

Assi

stiv

e Te

chno

logy

-Sha

ping

the

futu

re, 1

st e

d., I

OS

Pres

s, 2

003

8.

Brow

nsel

l, Si

mon

, et a

l,. A

sys

tem

atic

revi

ew o

f life

styl

e m

onito

ring

tech

nolo

gies

, Jou

rnal

of

tele

med

icin

e an

d te

leca

re 1

7.4

(201

1): 1

85-1

89

9.

Yadi

n D

avid

, Wol

f W. v

on M

altz

ahn,

Mic

hael

R. N

eum

an, J

osep

h.D

, Bro

nzin

o, C

linic

al

Engi

neer

ing,

1st e

d., C

RC

Pre

ss, 2

010

10.

Pasc

al V

erdo

nck,

Adv

ance

s in

Bio

med

ical

Eng

inee

ring,

1st e

d., E

lsev

ier,

2009

L

earn

ing

Ass

essm

ent

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. S

athy

anar

ayan

an J

, Min

dray

Med

ical

Indi

a P

vt L

td, s

athy

anar

ayan

anja

yago

pal@

min

dray

.com

1.

Dr.

S. P

oong

uzha

li, A

nna

Uni

vers

ity, p

oong

s@an

naun

iv.e

du

1. M

rs. L

aksh

mi P

rab

ha,

SR

MIS

T

2. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

2. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

2.

Dr.

U. S

nek

hal

ath

a, S

RM

IST

3. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

3.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

3

Co

urs

e C

od

e 18

EC

O12

5T

Co

urs

e N

ame

QU

ALI

TY

CO

NT

RO

L F

OR

BIO

ME

DIC

AL

DE

VIC

ES

C

ou

rse

Cat

ego

ry

O

Ope

n El

ectiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

with

sp

ecia

lizat

ion

in B

iom

edic

al E

ngin

eerin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il C

ou

rse

Lea

rnin

g R

atio

nal

e (C

LR

):

The

purp

ose

of le

arni

ng th

is c

ours

e is

to:

L

earn

ing

Pro

gra

m L

earn

ing

Ou

tco

mes

(P

LO

)

CL

R-1

:

Util

ize

Qua

lity,

Qua

lity

cont

rol m

easu

res

esse

ntia

l for

an

orga

niza

tion

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Util

ize

the

qual

ity m

anag

emen

t prin

cipl

es a

nd g

ood

man

agem

ent p

ract

ices





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning




CL

R-3

:

Util

ize

the

vario

us q

ualit

y co

ntro

l too

ls

CL

R-4

:

Util

ize

the

vario

us q

ualit

y m

anag

emen

t too

ls

CL

R-5

:

Anal

yze

the

vario

us s

tand

ards

app

licab

le to

hea

lthca

re g

loba

lly a

nd n

atio

nally

CL

R-6

:

Impl

emen

t the

glo

bal s

tand

ards

in h

ealth

care

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Anal

yze

the

unde

rlyin

g co

ncep

ts o

f qua

lity

and

qual

ity c

ontro

l con

cept

s of

an

orga

niza

tion

2 85

75

- -

- -

- -

- -

- -

- L

- -

L C

LO

-2 :

Ev

alua

te th

e va

rious

qua

lity

man

agem

ent p

rinci

ples

and

goo

d m

anag

emen

t pra

ctic

es

3 85

75

L -

- -

- -

- -

- -

- -

- -

L C

LO

-3 :

Ev

alua

te v

ario

us to

ols

of q

ualit

y co

ntro

l 3

85

75

M

-

- -

- -

- -

- -

- -

- -

- C

LO

-4 :

An

alyz

e th

e va

rious

qua

lity

man

agem

ent t

ools

3

85

75

L

- -

- -

- -

- -

- -

- -

- L

CL

O-5

:

Anal

yze

the

vario

us s

tand

ards

app

licab

le to

hea

lthca

re g

loba

lly a

nd n

atio

nally

3

85

75

-

- -

- -

- -

- -

- -

- -

- -

CL

O-6

:

Anal

yze

the

outc

omes

of i

mpl

emen

ting

glob

al s

tand

ards

3

85

75

M

-

- -

- -

- -

- -

- L

- -

L

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

to

qu

alit

y

TQ

M p

rin

cip

les

S

tati

stic

al p

roce

ss c

on

tro

l T

QM

to

ols

Q

ual

ity

syst

ems

9 9

9 9

9

S-1

S

LO

-1

Def

initi

on o

f Qua

lity

Cus

tom

er s

atis

fact

ion

– C

usto

mer

Pe

rcep

tion

of Q

ualit

y Th

e se

ven

tool

s of

qua

lity

Be

nchm

arki

ng

ISO

900

0 Sy

stem

s

SL

O-2

D

imen

sion

s of

Qua

lity

Cus

tom

er C

ompl

aint

s C

ause

-and

-effe

ct d

iagr

am

Rea

sons

to B

ench

mar

k IS

O 9

000

Syst

ems

S-2

S

LO

-1

Qua

lity

Plan

ning

Se

rvic

e Q

ualit

y C

heck

she

et

Benc

hmar

king

Pro

cess

IS

O 9

000:

2000

Qua

lity

Syst

em –

El

emen

ts

SL

O-2

Q

ualit

y Pl

anni

ng

Cus

tom

er R

eten

tion

Che

ck s

heet

Be

nchm

arki

ng P

roce

ss

ISO

900

0:20

00 Q

ualit

y Sy

stem

–

Elem

ents

S-3

S

LO

-1

Qua

lity

cost

s Em

ploy

ee In

volv

emen

t C

ontro

l cha

rt

Qua

lity

Func

tion

Dep

loym

ent (

QFD

) N

eed

for A

ccre

dita

tion

of h

ospi

tals

SL

O-2

Q

ualit

y co

sts

Mot

ivat

ion

Con

trol c

hart

Q

ualit

y Fu

nctio

n D

eplo

ymen

t (Q

FD)

Nee

d fo

r Acc

redi

tatio

n of

hos

pita

ls

S-4

S

LO

-1

Basi

c co

ncep

ts o

f Tot

al Q

ualit

y M

anag

emen

t Em

pow

erm

ent

His

togr

am

Hou

se o

f Qua

lity

FD

A R

egul

atio

ns

SL

O-2

Pr

inci

ples

of T

QM

Team

s an

d Te

am W

ork

His

togr

am

Hou

se o

f Qua

lity

FD

A R

egul

atio

ns

S-5

S

LO

-1

Lead

ersh

ip –

Con

cept

s R

ecog

nitio

n an

d R

ewar

d

Pare

to c

hart

QFD

Pro

cess

- Be

nefit

s Jo

int C

omm

issi

on

SL

O-2

R

ole

of S

enio

r Man

agem

ent

Perfo

rman

ce A

ppra

isal

Pa

reto

cha

rt Q

FD P

roce

ss -

Bene

fits

Join

t Com

mis

sion

S-6

S

LO

-1

Qua

lity

Cou

ncil

Jura

n Tr

ilogy

Sc

atte

r dia

gram

To

tal P

rodu

ctiv

e M

aint

enan

ce (T

PM) –

C

once

pt

Reg

ulat

ory

Bodi

es o

f Ind

ia

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

4

SL

O-2

Q

ualit

y St

atem

ents

Jura

n Tr

ilogy

Sc

atte

r dia

gram

To

tal P

rodu

ctiv

e M

aint

enan

ce

Med

ical

Cou

ncil

of In

dia

S-7

S

LO

-1

Stra

tegi

c Pl

anni

ng

PDSA

Cyc

le

Stra

tific

atio

n Im

prov

emen

t Nee

ds

Phar

mac

y C

ounc

il O

f Ind

ia

SL

O-2

St

rate

gic

Plan

ning

PD

SA C

ycle

St

ratif

icat

ion

Impr

ovem

ent N

eeds

Ph

arm

acy

Cou

ncil

Of I

ndia

S-8

S

LO

-1

Dem

ing

Philo

soph

y Ka

izen

Si

x si

gma

FMEA

In

dian

Nur

sing

Cou

ncil

SL

O-2

D

emin

g Ph

iloso

phy

Kaiz

en

Six

sigm

a FM

EA

Indi

an N

ursi

ng C

ounc

il

S-9

S

LO

-1

Barri

ers

to T

QM

Impl

emen

tatio

n 5S

Si

x si

gma

Stag

es o

f FM

EA

Den

tal C

ounc

il of

Indi

a

SL

O-2

Ba

rrier

s to

TQ

M Im

plem

enta

tion

5S

Six

sigm

a St

ages

of F

MEA

H

omeo

path

y C

entra

l Cou

ncil

Lea

rnin

g

Res

ou

rces

1.

Ros

e J.

E, T

otal

Qua

lity

Man

agem

ent,

Koga

n Pa

ge L

td.,

1993

2.

C

esar

A. C

acer

e, A

lber

t Zan

a,Th

e Pr

actis

e of

clin

ical

Eng

inee

ring,

Aca

dem

ic P

ress

,199

7 3.

G

reg

Boun

ds, B

eyon

d To

tal Q

ualit

y M

anag

emen

t-Tow

ard

the

emer

ging

par

adig

m, M

cGra

w

Hill,

201

3

4.

Jose

ph J

.Car

r, El

emen

ts o

f Ele

ctro

nics

Inst

rum

enta

tion

and

Mea

sure

men

t, 2nd

ed.

, Pea

rson

Edu

catio

n, 2

003

5 .

Jerro

ld T

. Bus

hber

g, J

ohn

M. B

oone

, The

ess

entia

l phy

sics

of m

edic

al im

agin

g, 3

rd e

d., L

ippi

ncot

t Willi

ams

& W

ilkin

s, 2

011

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. S

athy

anar

ayan

an J

, Min

dray

Med

ical

Indi

a P

vt L

td, s

athy

anar

ayan

anja

yago

pal@

min

dray

.com

1.

Dr.

S. P

oong

uzha

li, A

nna

Uni

vers

ity, p

oong

s@an

naun

iv.e

du

1. D

r. D

. Kat

hirv

elu,

SR

MIS

T

2. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

2. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

2.

Dr.

D. A

shok

Kum

ar, S

RM

IST

3. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

3.

Dr.

Venk

ates

an, S

r. Sc

ient

ist,

NIO

T, C

henn

ai, v

enka

t@ni

ot.re

s.in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

5

Co

urs

e C

od

e 18

EC

O12

6T

Co

urs

e N

ame

Spo

rts

Bio

mec

hani

cs

Co

urs

e C

ateg

ory

E

Prof

essi

onal

Ele

ctiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

18EC

E267

J C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

the

fund

amen

tal m

uscl

e ac

tion

and

loco

mot

ion

in b

iom

echa

nica

l poi

nt o

f vie

w

1

2 3

1

2 3

4 5

6 7

8 9

10

11

12

13

14

15

CL

R-2

:

Get

an

idea

abo

ut th

e m

ovem

ent p

atte

rns

and

caus

es o

f mov

emen

ts





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO-1: Problem Solving at the

interface of Engg. & Medicine PSO-:2: Design & Develop

Medical Devices PSO-3: multidisciplinary research for health care solu.

CL

R-3

:

Und

erst

and

the

qual

itativ

e an

d qu

antit

ativ

e an

alys

is o

f spo

rts m

ovem

ents

CL

R-4

:

Acqu

ire a

n id

ea a

bout

the

basi

c co

ncep

t of j

umpi

ng &

aer

ial m

ovem

ent a

nd th

row

ing

& hi

tting

CL

R-5

:

Get

an

idea

abo

ut th

e in

jury

pre

vent

ion,

reha

bilit

atio

n an

d sp

ecia

l Oly

mpi

c sp

orts

CL

R-6

:

Get

an

over

all i

dea

abou

t the

app

licat

ions

of b

iom

echa

nics

in s

ports

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Illus

trate

the

mus

cle

actio

n in

spo

rt an

d lo

com

otio

n 1

80

70

M

L

C

LO

-2 :

An

alyz

e th

e m

ovem

ent p

atte

rns

and

its c

ause

s

1,2

80

70

M

M

CL

O-3

:

Des

crib

e th

e Q

ualit

ativ

e an

d Q

uant

itativ

e an

alys

is o

f spo

rts m

ovem

ents

2

80

70

M

M

CL

O-4

:

Anal

yze

the

mov

emen

t of a

ctio

n su

ch a

s ju

mpi

ng, t

hrow

ing,

hitt

ing

and

aeria

l mov

emen

t 2

80

70

L

L

L L

CL

O-5

:

Iden

tify

the

inju

ry s

cena

rio a

nd s

peci

al O

lym

pic

spor

ts

2 80

70

L L

L C

LO

-6 :

O

utlin

e th

e m

ajor

con

cept

s in

spo

rts b

iom

echa

nics

Du

rati

on

(h

ou

r)

Mu

scle

Act

ion

in S

po

rt a

nd

Exe

rcis

e an

d lo

com

oti

on

- B

iom

ech

anic

al v

iew

M

ove

men

t p

atte

rns

and

its

cau

ses

Qu

alit

ativ

e an

d Q

uan

tita

tive

an

alys

is o

f sp

ort

s m

ove

men

ts

Jum

pin

g a

nd

Aer

ial M

ove

men

t,

Th

row

ing

an

d H

itti

ng

In

jury

Pre

ven

tio

n, R

ehab

ilita

tio

n a

nd

S

pec

ial O

lym

pic

Sp

ort

s

9 9

9 9

9

S-1

S

LO-1

In

trodu

ctio

n to

Bio

mec

hani

cs

Intro

duct

ion

to M

ovem

ent p

atte

rns

Intro

duct

ion

to A

naly

sis

of S

port

Mov

emen

ts

Intro

duct

ion

to A

eria

l m

ovem

ent

Mec

hani

sms

of M

uscu

losk

elet

al In

jury

SLO

-2

Appl

icat

ions

of B

iom

echa

nics

D

efin

ing

hum

an m

ovem

ents

A

stru

ctur

ed a

naly

sis

fram

ewor

k Ty

pes

of A

eria

l Mov

emen

t - R

otat

ion

durin

g fli

ght,M

otio

n of

the

mas

s ce

ntre

M

uscu

losk

elet

al L

oadi

ng D

urin

g La

ndin

g

S-2

SLO

-1

Neu

ral C

ontri

butio

ns to

Cha

nges

in M

uscl

e St

reng

th

Fund

amen

tal m

ovem

ents

-Wal

king

, R

unni

ng

Prep

arat

ion

stag

e

Type

s of

Aer

ial M

ovem

ent :

So

mer

saul

ting,

Twis

ting,

Sp

ort-R

elat

ed S

pina

l Inj

urie

s an

d th

eir

Prev

entio

n

SLO

-2

Mech

anic

al

Pro

pert

ies

and

Perf

orm

ance

in S

kele

tal

Musc

les

Fund

amen

tal m

ovem

ents

-Thr

owin

g,

Jum

ping

O

bser

vatio

n st

age

C

ontro

l of a

eria

l mov

emen

t Sp

ort-R

elat

ed S

pina

l Inj

urie

s an

d th

eir

Prev

entio

n

S-3

SLO

-1

Mus

cle-

Tend

on A

rchi

tect

ure

qual

itativ

e an

d qu

antit

ativ

e m

ovem

ent

Eva

luat

ion

and

diag

nosi

s st

age

In

trodu

ctio

n : H

igh

Jum

p

Impa

ct P

ropa

gatio

n an

d its

Effe

cts

on th

e H

uman

Bod

y

SLO

-2

Athl

etic

Per

form

ance

C

ompa

rison

of q

ualit

ativ

e an

d qu

antit

ativ

e m

ovem

ent a

naly

sis

Inte

rven

tion

stag

e –

prov

idin

g ap

prop

riate

fe

edba

ck

Tech

niqu

es o

f Jum

ping

- Sk

atin

g, S

pri

ngboard

and P

latf

orm

D

ivin

g

Impa

ct P

ropa

gatio

n an

d its

Effe

cts

on th

e H

uman

Bod

y

S-4

S

LO-1

Ec

cent

ric

Mus

cle

Actio

n in

Spo

rt an

d Ex

erci

se

Mov

emen

t pat

tern

s-ge

omet

ry o

f mot

ion

Iden

tifyi

ng c

ritic

al fe

atur

es o

f a m

ovem

ent

Det

erm

inan

ts o

f Suc

cess

ful S

ki-J

umpi

ng

Perfo

rman

ce

Neu

rom

echa

nics

of t

he In

itial

Pha

se o

f Ec

cent

ric C

ontra

ctio

n

SLO

-2

Stre

tch–

Shor

teni

ng C

ycle

of M

uscl

e Fu

nctio

n Fu

ndam

enta

ls o

f mov

emen

t Id

entif

ying

crit

ical

feat

ures

of a

mov

emen

t D

eter

min

ants

of S

ucce

ssfu

l Ski

-Jum

ping

Pe

rform

ance

In

duce

d M

uscl

e In

jury

S-5

S

LO-1

Bi

omec

hani

cal F

ound

atio

ns o

f Stre

ngth

Li

near

mot

ion

and

the

cent

re o

f mas

s Th

e us

e of

vid

eogr

aphy

in re

cord

ing

spor

ts P

rinci

ples

of T

hrow

ing

Man

ual W

heel

chai

r Pro

puls

ion

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

6

mov

emen

ts

SLO

-2

Pow

er T

rain

ing

The

geom

etry

of a

ngul

ar m

otio

n an

d th

e co

ordi

natio

n of

join

t rot

atio

ns

The

use

of v

ideo

grap

hy in

reco

rdin

g sp

orts

m

ovem

ents

Th

e Fl

ight

of S

ports

Pro

ject

iles

S-6

S

LO-1

Fa

ctor

s Af

fect

ing

Pref

erre

d R

ates

of

Mov

emen

tin C

yclic

Act

iviti

es

For

ces

in s

port

Rec

ordi

ng th

e m

ovem

ent

Jave

lin T

hrow

ing:

an

Appr

oach

to

Perfo

rman

ce D

evel

opm

ent

Spor

ts a

fter A

mpu

tatio

n S

LO-2

Th

e D

ynam

ics

of R

unni

ng

Com

bina

tions

of f

orce

s on

the

spor

ts

perfo

rmer

Ex

perim

enta

l pro

cedu

res

-Tw

o di

men

sion

al v

ideo

grap

hy

S-7

S

LO-1

R

esis

tive

Forc

es in

Sw

imm

ing

Mom

entu

m a

nd th

e la

ws

of li

near

mot

ion

Expe

rimen

tal p

roce

dure

s -T

hree

di

men

sion

al v

ideo

grap

hy

Shot

Put

ting

Biom

echa

nics

of D

ance

S

LO-2

Pr

opul

sive

Fo

rces

in S

wim

min

g Fo

rce–

time

grap

hs a

s m

ovem

ent p

atte

rns

Dat

a pr

oces

sing

H

amm

er T

hrow

ing:

Pro

blem

s an

d Pr

ospe

cts

S-8

SLO

-1

Perfo

rman

ce-D

eter

min

ing

Fact

ors

in

Spee

d Sk

atin

g D

eter

min

atio

n of

the

cent

re o

f mas

s of

the

hum

an b

ody

Proj

ectil

e m

otio

n H

amm

er T

hrow

ing:

Prob

lem

s an

d Pr

ospe

cts

Biom

echa

nics

of M

artia

l arts

S

LO-2

C

ross

-Cou

ntry

Sk

iing:

Tec

hniq

ue

Fund

amen

tals

of a

ngul

ar k

inet

ics

and

Gen

erat

ion

and

cont

rol o

f ang

ular

m

omen

tum

Line

ar v

eloc

ities

and

acc

eler

atio

ns c

ause

d by

rota

tion

Hitt

ing

S-9

S

LO-1

C

ross

-Cou

ntry

Sk

iing:

Equ

ipm

ent

Mea

sure

men

t of f

orce

R

otat

ion

in th

ree-

dim

ensi

onal

spa

ce

Kick

ing

Biom

echa

ncis

of Y

OG

A

SLO

-2

Fact

ors

Affe

ctin

g Pe

rform

ance

M

easu

rem

ent o

f pre

ssur

e R

otat

ion

in th

ree-

dim

ensi

onal

spa

ce

Sim

ple

conc

ept p

robl

ems

Lea

rnin

g

Res

ou

rces

1.

Susa

n J

Hal

l, “B

asic

Bio

mec

hani

cs”,

McG

raw

-Hill

Hig

her E

duca

tion,

7th

edi

tion,

201

4 2.

Vl

adim

ir M

. Zat

sior

sky,

Bio

mec

hani

cs in

Spo

rts: P

erfo

rman

ce E

nhan

cem

ent a

nd In

jury

Pr

even

tion,

1st e

d., B

lack

wel

l Sci

ence

Ltd

, 200

0

3.

Jule

s M

itche

ll,”Y

oga

Biom

echa

nics

”, 1

editi

on ,

Han

dspr

ing

Publ

ishi

ng L

imite

d ,2

018

4.

Rog

er B

artle

tt, In

trodu

ctio

n to

Spo

rts B

iom

echa

nics

: Ana

lysi

ng H

uman

Mov

emen

t Pat

tern

s, 2

nd e

d., R

outle

dge,

20

07

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 40

%

- 40

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 20

%

- 20

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

#

CLA

– 4

can

be

from

any

com

bina

tion

of th

ese:

Ass

ignm

ents

, Sem

inar

s, T

ech

Tal

ks, M

ini-P

roje

cts,

Cas

e-S

tudi

es, S

elf-

Stu

dy, M

OO

Cs,

Cer

tific

atio

ns, C

onf.

Pap

er e

tc.,

Co

urs

e D

esig

ner

s

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. S

athy

anar

ayan

an J

, Min

dray

Med

ical

Indi

a P

vt L

td, s

athy

anar

ayan

anja

yago

pal@

min

dray

.com

1.

Dr.

S. P

oong

uzha

li, A

nna

Uni

vers

ity, p

oong

s@an

naun

iv.e

du

1. M

s. O

inam

Rob

ita C

hanu

, SR

MIS

T

2. M

r. An

uj K

umar

, Bom

bard

ier T

rans

porta

tion,

Ahm

edab

ad, k

umar

anuj

.ani

i@gm

ail.c

om

2. D

r. M

eena

kshi

, Pro

fess

or o

f EC

E, C

EG, A

nna

Uni

vers

ity, m

eena

68@

anna

univ

.edu

2.

Dr .

D. A

shok

kum

ar, S

RM

IST

. Mr.

Har

ihar

asud

han

- Joh

nson

Con

trols

, Pun

e, h

arih

aras

udha

n.v@

jci.c

om

3. D

r. Ve

nkat

esan

, Sr.

Scie

ntis

t, N

IOT,

Che

nnai

, ven

kat@

niot

.res.

in

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

7

Co

urs

e C

od

e 18

EC

O13

1J

Co

urs

e N

ame

VIR

TU

AL

INS

TR

UM

EN

TA

TIO

N

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

2 0

2 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Stud

y th

e co

ncep

ts o

f Virt

ual i

nstru

men

tatio

n an

d to

lear

n th

e pr

ogra

mm

ing

conc

epts

in V

I.

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Stud

y ab

out t

he v

ario

us re

al ti

me

data

acq

uisi

tion

met

hods

.





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO 1: Automatic control for continous & discrete systems PSO-2: Utilize PLC & DCS for

control of systems PSO-3: Effective

management skills

CL

R-3

:

Stud

y ab

out t

he v

ario

us In

stru

men

t Int

erfa

cing

con

cept

s.

CL

R-4

:

To s

tudy

the

prog

ram

min

g te

chni

ques

for

var

ious

con

trol t

echn

ique

s us

ing

VI s

oftw

are

CL

R-5

:

To s

tudy

var

ious

ana

lysi

s to

ols

for P

roce

ss c

ontro

l app

licat

ions

.

CL

R-6

:

To s

tudy

var

ious

real

tim

e m

easu

rem

ent s

yste

ms

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

An a

bilit

y to

und

erst

and

the

purp

ose

of v

irtua

l ins

trum

enta

tion

and

unde

rsta

nd th

e co

nstru

ctio

n of

VI

1,2

80

70

H

H

CL

O-2

:

An a

bilit

y to

und

erst

and

and

appl

y va

rious

dat

a ac

quis

ition

met

hods

. 2

85

75

H

H

H

C

LO

-3 :

An

abi

lity

to u

nder

stan

d a

nd im

plem

ent t

he a

vaila

ble

inte

rfaci

ng in

stru

men

ts

2 75

70

H

H

H

H

H

H

H

H

C

LO

-4 :

An

abi

lity

to u

nder

stan

d a

nd im

plem

ent v

ario

us c

ontro

l tec

hniq

ues

usin

g VI

sof

twar

e 2,

3 85

80

H

H

H

H

H

H

H

CL

O-5

:

An a

bilit

y to

und

erst

and

and

deve

lop

a pr

ogra

m fo

ran

engi

neer

ing

appl

icat

ion.

2,

3 85

75

H

H

H

H

H

H

H

H

H

H

H

CL

O-6

:

An a

bilit

y to

und

erst

and

and

impl

emen

t var

ious

mea

sure

men

t sys

tem

s

2,3

80

70

H

H

H

H

H

H

H

H

H

H

H

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Lea

rnin

g U

nit

/ M

od

ule

2

Lea

rnin

g U

nit

/ M

od

ule

3

Lea

rnin

g U

nit

/ M

od

ule

4

Lea

rnin

g U

nit

/ M

od

ule

5

12

12

12

12

12

S-1

SL

O-1

H

isto

rical

per

spec

tive,

Nee

d of

VI,

Adva

ntag

es o

f VI,

Virtu

al In

stru

men

ts

vers

us T

radi

tiona

l Ins

trum

ents

A/D

Con

verte

rs, O

rgan

izat

ion

of th

e D

AQ

VI s

yste

m -

Intro

duct

ion

to P

C B

uses

In

trodu

ctio

n to

Non

con

tinuo

us c

ontro

llers

in

Lab

VIEW

PC b

ased

dig

ital s

tora

ge o

scillo

scop

e

SL

O-2

Rev

iew

of s

oftw

are

in V

irtua

l In

stru

men

tatio

n ,S

oftw

are

envi

ronm

ent

Arch

itect

ure

of V

I, In

trodu

ctio

n to

the

bloc

k di

agra

m a

nd F

ront

pan

el P

alle

ts

D/A

Con

verte

rs,

Type

s of

D/A

Lo

cal B

uses

-ISA,

PC

I, In

trodu

ctio

n to

con

tinuo

us c

ontro

llers

in

LabV

IEW

Sens

or T

echn

olog

y

S-2

SL

O-1

C

reat

ing

and

sav

ing

a VI

, Fro

nt P

anel

To

ol B

ar, B

lock

dia

gram

Too

l Bar

, Pa

lette

s

plug

-in A

nalo

g In

put/o

utpu

t car

ds -

Dig

ital

Inpu

t and

Out

put C

ards

, R

S232

, RS4

22

Des

ign

of O

N/O

FF c

ontro

ller

Appl

icat

ions

of s

enso

r Tec

hnol

ogy

SL

O-2

Cre

atin

g su

b VI

, Cre

atin

g an

ICO

N,

Build

ing

a co

nnec

tor p

ane,

Dis

play

ing

VI’S

, Pla

cing

and

Sav

ing

Sub

VI’S

on

bloc

k di

agra

m, E

xam

ple

of fu

ll ad

der

circ

uit u

sing

hal

f add

er c

ircui

t

Org

aniz

atio

n of

the

DAQ

VI s

yste

m -

RS4

85

Prop

ortio

nal c

ontro

ller f

or a

mat

hem

atic

ally

de

scrib

ed p

roce

sses

usi

ng V

I sof

twar

e Si

gnal

pro

cess

ing

Tec

hniq

ues

S-3

SL

O-1

L

ab-1

: Fr

ont P

anel

con

trols

and

Indi

cato

r L

ab-1

2: M

easu

rem

ent o

f dio

de I-

V ch

arac

teris

tics

usin

g La

bVIE

W

Lab

-17:

Loa

d ce

ll D

ata

acqu

isiti

on

usin

g R

S232

Lab

-22:

On-

off t

empe

ratu

re c

ontro

ller

usin

g La

bVIE

W

Lab

-28:

Des

ign

of D

SO

SL

O-2

L

ab-2

: Ve

rific

atio

n of

Arit

hmet

ic

Ope

ratio

ns

S-4

SL

O-1

L

ab-3

: Ve

rific

atio

n of

Hal

f Add

er

Lab

-13:

Tem

pera

ture

mea

sure

men

t usi

ng

LabV

IEW

and

DAQ

har

dwar

e.

Lab

-23:

Con

tinuo

us C

ontro

l of t

empe

ratu

re

usin

g La

bVIE

W

Lab

-29:

Ana

lysi

s of

diff

eren

t sig

nal

Filte

rs u

sing

Lab

VIEW

S

LO

-2

Lab

-4:

Verif

icat

ion

of F

ull a

dder

.

S-5

SL

O-1

Lo

ops-

For L

oop,

O

pto

Isol

atio

n ne

ed

Inte

rface

Bus

es-U

SB,P

XI

Mod

elin

g o

f lev

el p

roce

ss

Spec

trum

Ana

lyze

r

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

8

SL

O-2

W

hile

Loo

p Pe

rform

ing

anal

og in

put a

nd a

nalo

g ou

tput

VX

I,

Basi

c co

ntro

l of l

evel

pro

cess

in L

abVI

EW

Wav

efor

m G

ener

ator

S-6

SL

O-1

Ar

rays

, Sc

anni

ng m

ultip

le a

nalo

g ch

anne

ls

SCXI

M

odel

ing

of R

eact

or P

roce

sses

D

ata

visu

aliz

atio

n fro

m m

ultip

le lo

catio

ns

SL

O-2

C

lust

ers,

plo

tting

dat

a Is

sues

invo

lved

in s

elec

tion

of

Dat

a

acqu

isiti

on c

ards

PC

MC

IA

Basi

c co

ntro

l of R

eact

or p

roce

ss in

La

bVIE

W

Dis

tribu

ted

mon

itorin

g an

d co

ntro

l

S-7

SL

O-1

L

ab-5

: Pr

ogra

m to

find

Add

ition

of F

irst n

na

tura

l num

bers

usi

ng fo

r loo

p

Lab

-14:

Flo

w m

easu

rem

ent i

n w

ater

usi

ng

LabV

EW a

nd D

AQ h

ardw

are

Lab

-18:

DC

mot

or c

ontro

l usi

ng V

XI

Lab

-24:

On-

off L

evel

con

trolle

r usi

ng

LabV

IEW

L

ab-3

0: R

eal t

ime

spec

trum

ana

lysi

s us

ing

LabV

IEW

S

LO

-2

Lab

-6:

Prog

ram

to fi

nd A

dditi

on o

f Firs

t n

odd

num

bers

usi

ng w

hile

loop

.

S-8

SL

O-1

L

ab-7

: Im

plem

enta

tion

of A

rray

func

tions

. L

ab-1

9: G

PIB

with

VIS

A fu

nctio

ns

Lab

-25:

Con

tinuo

us C

ontro

l of p

ress

ure

cont

rolle

r usi

ng L

abVI

EW

Lab

-31:

Arb

itrat

ory

Wav

efor

m G

ener

ator

us

ing

LabV

IEW

S

LO

-2

Lab

-8:

Cal

cula

tion

of B

MI u

sing

clu

ster

S-9

SL

O-1

C

harts

D

ata

acqu

isiti

on m

odul

es w

ith s

eria

l co

mm

unic

atio

n In

stru

men

tatio

n Bu

ses

- Mod

bus

and

GPI

B

Cas

e st

udie

s on

dev

elop

men

t of H

MI i

n VI

Vi

sion

and

Mot

ion

Con

trol

SL

O-2

G

raph

s D

esig

n of

dig

ital v

oltm

eter

s w

ith tr

ansd

ucer

in

put

Net

wor

ked

buss

es –

ISO

/OSI

C

ase

stud

ies

on d

evel

opm

ent o

f HM

I in

VI

Exa

mpl

es o

n In

tegr

atin

g M

easu

rem

ent

with

vis

ion

and

mot

ion

S-1

0 S

LO

-1

Cas

e an

d Se

quen

ce S

truct

ures

Ti

mer

s an

d C

ount

ers

Ref

eren

ce m

odel

, C

ase

stud

ies

on d

evel

opm

ent o

f SC

ADA

in

VI

NI M

otio

n co

ntro

l

SL

O-2

Fo

rmul

a no

des,

Stri

ng a

nd F

ile

Inpu

t/Out

put.

Tim

ers

and

Cou

nter

s Et

hern

et a

nd T

CP

/ IP

Prot

ocol

s C

ase

stud

ies

on d

evel

opm

ent o

f SC

ADA

in

VI

Spe

ed c

ontr

ol s

yste

m

S-1

1 S

LO

-1

Lab

-9:

Mon

itorin

g of

tem

pera

ture

usi

ng

Cha

rts a

nd G

raph

s L

ab-1

5: D

esig

n of

dig

ital v

oltm

eter

s w

ith

trans

duce

r inp

ut u

sing

Lab

VIEW

L

ab-2

0: O

nlin

e te

mpe

ratu

re c

ontr

ol

usin

g La

bVIE

W u

sing

TC

P/IP

L

ab-2

6: O

n-of

f pre

ssur

e co

ntro

ller u

sing

La

bVIE

W

Lab

-32:

Min

or P

roje

ct

SL

O-2

L

ab-1

0: P

rogr

am fo

r im

plem

entin

g Se

ven

segm

ent d

ispl

ay

S-1

2 S

LO

-1

Lab

-11:

Pro

gram

to p

erfo

rm T

raffi

c lig

ht

cont

rol

Lab

-16:

Pre

ssur

e m

easu

rem

ent u

sing

La

bVEW

and

DAQ

har

dwar

e D

AQ.

Lab

-21:

Onl

ine

tem

pera

ture

con

trol

us

ing

Web

pub

lishi

ng to

ol

Lab

-27:

Con

tinuo

us C

ontro

l of p

ress

ure

cont

rolle

r usi

ng L

abVI

EW

SL

O-2

L

earn

ing

R

eso

urc

es

1.

Nad

ovic

h, C

., Sy

nthe

tic In

stru

men

ts C

once

pts

and

Appl

icat

ions

, Els

evie

r, 20

05

2.

Bitte

r, R

., M

ohiu

ddin

, T. a

nd N

awro

cki,

M.,

Labv

iew

Adv

ance

d Pr

ogra

mm

ing

Tech

niqu

es, 2

nd e

d., C

RC

Pre

ss, 2

007

3.

G

upta

, S. a

nd G

upta

, J. P

., PC

Inte

rfaci

ng fo

r Dat

a Ac

quis

ition

and

Pro

cess

Con

trol”,

2nd

ed.

, Ins

trum

ent S

ocie

ty o

f Am

eric

a, 1

994

4.

Jam

al, R

., P

ickl

ik, H

., La

bvie

w –

App

licat

ions

and

Sol

utio

ns, N

atio

nal I

nstru

men

ts R

elea

se.

5.

John

son,

G.,

Labv

iew

Gra

phic

al p

rogr

amm

ing,

McG

raw

-Hill,

199

7 6.

W

ells

, L.K

., Tr

avis

, J.,

Labv

iew

for E

very

one,

Pre

ntic

e H

all,

1997

7.

Bu

chan

an, W

., C

ompu

ter B

usse

s, C

RC

Pre

ss, 2

000

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 20

%

20%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

U

nder

stan

d

Leve

l 2

App

ly

20%

20

%

20%

20

%

20%

20

%

20%

20

%

20%

20

%

Ana

lyze

Leve

l 3

Eva

luat

e 10

%

10%

15

%

15%

15

%

15%

15

%

15%

15

%

15%

C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. D

. Kar

thik

eyan

, Con

trols

oft E

ngin

eerin

g In

dia

Pvt L

td, k

arth

ikey

an.d

@co

ntro

lsof

teng

g.in

1.

Dr.

J. P

raka

sh, M

IT, C

henn

ai, p

raka

iit@

redi

ffmai

l.com

1.

Dr.

K. A

. Sun

itha,

SR

MIS

T

2. V

. Ven

kate

swar

an, I

nstru

men

tatio

n C

onsu

ltant

,vve

nkat

99@

gmai

l.com

2.

Dr.

D. N

edum

aran

, Mad

ras

Uni

vers

ity, d

nmar

an@

gmai

l.com

2.

Mrs

. A. B

rindh

a, S

RM

IST

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

14

9

Co

urs

e C

od

e 18

EC

O13

2T

Co

urs

e N

ame

AN

ALY

TIC

AL

INS

TR

UM

EN

TA

TIO

N

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

the

prin

cipl

e an

d th

eory

of a

naly

tical

inst

rum

ents

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

quan

titat

ive

anal

ysis

of d

isso

lved

com

pone

nts





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning


control of systems PSO-3: Effective management

skills

CL

R-3

:

Stud

y th

e co

ncep

t of s

epar

atio

n sc

ienc

e an

d its

app

licat

ions

CL

R-4

:

Stud

y th

e va

rious

spe

ctro

scop

ic te

chni

ques

and

its

inst

rum

enta

tion

CL

R-5

:

Iden

tify

and

solv

e en

gine

erin

g pr

oble

ms

asso

ciat

ed w

ith R

adia

tion

Tech

niqu

es

CL

R-6

:

Und

erst

and

the

wor

king

of A

naly

tical

Inst

rum

ent a

nd th

eir i

mpo

rtanc

e in

indu

strie

s

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Appl

y th

e pr

inci

ples

and

theo

ry o

f ins

trum

enta

l ana

lysi

s 1,

2 80

70

H

H

L L

H

H

H

H

H

L

CL

O-2

:

Appl

y th

e pr

inci

ples

of

vario

us c

hem

ical

ana

lysi

s in

stru

men

ts in

indu

strie

s 1,

2 85

75

H

H

L L

H

H

H

H

L C

LO

-3 :

An

alyz

e an

d un

ders

tand

the

oper

atio

n of

var

ious

radi

o ch

emic

al m

etho

ds o

f ana

lysi

s

1,2

75

70

H

H

L

L H

H

H

H

L

CL

O-4

:

To a

naly

ze a

nd u

nder

stan

d th

e op

erat

ion

of in

stru

men

ts b

ased

on

optic

al p

rope

rties

1,

2 85

80

H

H

L L

H

H

H

H

L C

LO

-5 :

To

iden

tify

and

solv

e en

gine

erin

g pr

oble

ms

asso

ciat

ed w

ith R

adia

tion

Tech

niqu

es

1,2

85

75

H

H

L

L H

H

H

H

L

CL

O-6

:

To u

nder

stan

d th

e w

orki

ng o

f ana

lytic

al In

stru

men

ts in

indu

strie

s 1,

2 80

70

H

H

L L

H

H

H

H

L

Du

rati

on

(h

ou

r)

Lea

rnin

g U

nit

/ M

od

ule

1

Lea

rnin

g U

nit

/ M

od

ule

2

Lea

rnin

g U

nit

/ M

od

ule

3

Lea

rnin

g U

nit

/ M

od

ule

4

Lea

rnin

g U

nit

/ M

od

ule

5

9

9

9

9

9

S-1

S

LO

-1

Intro

duct

ion

to C

hem

ical

inst

rum

enta

l an

alys

is

Dis

solv

ed o

xyge

n an

alyz

er, I

mpo

rtanc

e of

m

easu

ring

diss

olve

d ox

ygen

in In

dust

ry,

Prin

cipl

e w

orki

ng

Chr

omat

ogra

phy,

Impo

rtanc

e, B

asic

w

orki

ng o

f Chr

omat

ogra

phy

Spec

tral m

etho

ds o

f ana

lysi

s-

Prop

ertie

s or

par

amet

ers

of

elec

trom

agne

tic ra

diat

ion

NM

R s

pect

rom

eter

s ,Im

porta

nce

and

basi

c w

orki

ng o

f NM

R S

pect

rosc

opy

SL

O-2

Sp

ectra

l met

hod

of a

naly

sis

W

orki

ng o

f Dis

solv

ed o

xyge

n an

alyz

er

Gas

chr

omat

ogra

phy

Inst

rum

enta

tion

El

ectro

mag

netic

spe

ctru

m

Type

s of

spe

ctro

met

ers

Mag

netic

ass

embl

y, P

robe

uni

t, In

stru

men

t sta

biliz

atio

n

S-2

SL

O-1

El

ectro

ana

lytic

al a

nd s

eper

ativ

e m

etho

ds

sodi

um a

naly

zer,

Impo

rtanc

e of

mea

surin

g so

dium

in In

dust

ry, P

rinci

ple

wor

king

Ba

sic

parts

of a

gas

chr

omat

ogra

phy

Beer

's la

w U

V-vi

sibl

e sp

ectro

phot

omet

ers

Tran

smitt

ance

and

abs

orba

nce

Type

s of

NM

R s

pect

rom

eter

, Min

imal

ty

pe

SL

O-2

In

stru

men

tal m

etho

ds o

f ana

lysi

s-ba

sic

com

pone

nts

and

thei

r cla

ssifi

catio

n

Wor

king

of s

odiu

m a

naly

zer

Car

rier g

as s

uppl

y Sa

mpl

e in

ject

ion

syst

em

Beer

’s la

w

Appl

icat

ion

of b

eer’s

law

M

ultip

urpo

se N

MR

,Wid

elin

e

S-3

SL

O-1

Sa

mpl

ing

syst

ems

Si

lica

anal

yzer

, Im

porta

nce

of m

easu

ring

Silic

a in

Indu

stry

, Prin

cipl

e w

orki

ng

Chr

omat

ogra

phic

col

umn,

Se

lect

ion

of c

olum

n D

eriv

atio

ns o

f bee

r’s la

w

Appl

icat

ions

of N

MR

Spe

ctro

met

er

SL

O-2

Im

porta

nce

of S

ampl

ing

syst

em in

ch

emic

al In

dust

ries

and

Safe

ty a

spec

ts

Wor

king

of S

ilica

Anal

yzer

Th

erm

al c

ompa

rtmen

t, D

etec

tion

syst

em, R

ecor

ding

sys

tem

Si

ngle

bea

m a

nd d

oubl

e be

am in

stru

men

ts

Mas

s Sp

ectro

met

ers,

Bas

ic w

orki

ng a

nd

Impo

rtanc

e

S-4

SL

O-1

PH

Mea

sure

men

t, Pr

inci

ple

of P

H

mea

sure

men

t & Im

porta

nce

of P

H

mea

sure

men

t in

Indu

strie

s

Moi

stur

e m

easu

rem

ent I

mpo

rtanc

e of

M

oist

ure

mea

sure

men

t Li

quid

chr

omat

ogra

phy-

Prin

cipl

es, t

ypes

an

d ap

plic

atio

ns

IR s

pect

roph

otom

eter

s In

stru

men

ts o

f IR

C

ompo

nent

s of

Mas

s Sp

ectro

met

ers

SL

O-2

Ty

pes

of E

lect

rode

s, R

efer

ence

El

ectro

des

and

type

s Ty

pes

of M

oist

ure

mea

sure

men

t H

igh

pres

sure

liqu

id c

hrom

atog

raph

y Ty

pes

of IR

C

ompo

nent

s re

quire

d fo

r thr

ee ty

pes

of IR

Type

s of

Mas

s sp

ectro

met

ers

Mag

netic

Sec

tor a

naly

zer,

Dou

ble

focu

sing

spe

ctro

met

ers

S-5

SL

O-1

Se

cond

ary

Elec

trode

s an

d Ty

pes

Oxy

gen

anal

yzer

M

etho

ds o

f oxy

gen

anal

yzer

s an

d im

porta

nce

Inst

rum

enta

tion

or b

asic

com

pone

nt o

f H

PLC

In

stru

men

ts o

f dis

pers

ive

inst

rum

ent ,

IR

Rad

iatio

n So

urce

s an

d ty

pes

Tim

e of

flig

ht a

naly

zers

, Qua

drup

ole

Mas

s an

alyz

ers

SL

O-2

In

dica

tor e

lect

rode

s Pa

ram

agne

tic o

xyge

n an

alyz

er

Elec

tro a

naly

tical

met

hod

Solv

ent r

eser

voir

and

its tr

eatm

ent

syst

em

Impo

rtanc

e of

Mon

ochr

omat

ors

and

type

s of

Mon

ochr

omat

ors

Appl

icat

ion

of m

ass

spec

troph

otom

eter

s

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

0

S-6

SL

O-1

pH

met

ers

dire

ct re

adin

g ty

pe p

H m

eter

nu

ll de

tect

or ty

pe p

H m

eter

C

O m

onito

r,Im

porta

nce

of m

easu

ring

CO

Pu

mpi

ng s

yste

m, T

ypes

of w

orki

ng

syst

ems

and

Impo

rtanc

e Sa

mpl

es A

nd S

ampl

e C

ells

de

tect

ors

nucl

ear r

adia

tion

dete

ctor

s, im

porta

nce

of m

easu

rem

ent

SL

O-2

ion

sele

ctiv

e el

ectro

des

Ty

pes

of io

n se

lect

ive

elec

trode

s G

lass

mem

bran

e el

ectro

des

Liqu

id m

embr

ane

elec

trode

s So

lid m

embr

ane

Elec

trode

s

Type

s of

CO

mon

itor

Puls

e da

mpe

rs

FTIR

spe

ctro

met

ers,

Mai

n co

mpo

nent

s

Adva

ntag

es, d

isad

vant

ages

G

M c

ount

er

S-7

SL

O-1

Bi

osen

sors

Fe

atur

es o

f Bio

sens

or

Bloc

k di

agra

m o

f bio

sen

sor

NO

2 an

alyz

er, I

mpo

rtanc

e of

NO

2

mea

sure

men

t

Sam

ple

inje

ctio

n sy

stem

and

type

s

Type

s of

sou

rces

Se

lect

ion

fact

ors

Wor

king

set

up, a

dvan

tage

s of

GM

C

ount

er

SL

O-2

Ap

plic

atio

ns o

f Bio

sens

ors

in in

dust

ries

Type

s of

NO

2 m

easu

rem

ent

Liqu

id c

hrom

atog

raph

ic c

olum

n w

orki

ng

, Typ

es o

f Col

umn

ther

mos

tats

Ty

pes

of d

etec

tors

Se

lect

ion

fact

ors

prop

ortio

nal c

ount

er, B

asic

Prin

cipl

e

S-8

SL

O-1

co

nduc

tivity

met

ers

,Impo

rtanc

e in

C

hem

ical

Indu

strie

s H

2S a

naly

zer,

Impo

rtanc

e of

H2 S

M

easu

rem

ent

Det

ectio

n sy

stem

type

s at

omic

abs

orpt

ion

spec

troph

otom

eter

in

stru

men

ts fo

r ato

mic

abs

orpt

ion

spec

trosc

opy

Wor

king

set

up, a

dvan

tage

s o

f GM

C

ount

er

SL

O-2

Ty

pes

of C

ondu

ctiv

ity m

eter

s Ty

pes

of H

2S m

easu

rem

ent

Type

s of

Rec

ordi

ng s

yste

m

radi

atio

n so

urce

ch

oppe

r so

lid s

tate

det

ecto

rs, B

asic

Prin

cipl

e

S-9

SL

O-1

Ai

r pol

lutio

n M

onito

ring

Inst

rum

ents

D

ust a

nd s

mok

e m

easu

rem

ent-

dust

mea

sure

men

t and

Impo

rtanc

e Ty

pes

of d

ust m

easu

rem

ent

Appl

icat

ion

of H

PLC

, Adv

anta

ges

of

HPL

C o

ver g

as c

hrom

atog

raph

y

prod

uctio

n of

ato

mic

vap

or b

y fla

me,

Par

ts

by fl

ame

phot

omet

er

Emis

sion

sys

tem

Wor

king

set

up, a

dvan

tage

s o

f Sol

id

stat

e de

tect

ors

SL

O-2

Estim

atio

n of

Air

pollu

tion

Ther

mal

ana

lyze

r , I

mpo

rtanc

e of

The

rmal

an

alyz

ers,

Typ

es o

f The

rmal

ana

lyze

r

Det

ecto

rs ty

pes,

Fac

tors

Influ

enci

ng th

e Se

lect

ion

of D

etec

tors

Mon

ochr

omat

ors

And

type

s, T

ypes

of D

etec

tors

and

re

cord

ing

syst

ems

and

thei

r sel

ectio

n cr

iteria

scin

tilla

tion

coun

ter,

Basi

c pr

inci

ple

Lea

rnin

g

Res

ou

rces

1.

Khan

dpur

. R.S

, “H

andb

ook

of A

naly

tical

Inst

rum

ents

”, Ta

ta M

cGra

w H

ill pu

blis

hing

Co.

Ltd

., 20

06

2.

Bella

. G, L

ipta

k, “P

roce

ss M

easu

rem

ent a

nd a

naly

sis”

., C

RC

pre

ss L

LC.,2

003.

3.

Fr

anci

s R

ouss

eau

and

Anni

ck R

oues

ssac

“Che

mic

al a

naly

sis

Mod

ern

Inst

rum

enta

tion

Met

hods

and

Te

chni

ques

”, Jo

hn w

iley

& so

ns L

td.2

007.

4.

Jam

es W

.Rob

inso

n,“U

nder

grad

uate

Inst

rum

enta

l Ana

lysi

s”, M

arce

l Dek

ker.,

200

5.

5.

Dw

ayne

Hea

rd, “

Anal

ytic

al T

echn

ique

s fo

r atm

osph

eric

mea

sure

men

t”, B

lack

wel

l Pub

lishi

ng,

2006

.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

Tot

al

100

%

100

%

100

%

100

%

100

%

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. D

. Kar

thik

eyan

, Con

trols

oft E

ngin

eerin

g In

dia

Pvt L

td, k

arth

ikey

an.d

@co

ntro

lsof

teng

g.in

1.

Dr.

J. P

raka

sh, M

IT, C

henn

ai, p

raka

iit@

redi

ffmai

l.com

D

r. K.

A. S

unith

a, S

RM

IST

2. V

. Ven

kate

swar

an, I

nstru

men

tatio

n C

onsu

ltant

,vve

nkat

99@

gmai

l.com

2.

Dr.

D. N

edum

aran

, Mad

ras

Uni

vers

ity, d

nmar

an@

gmai

l.com

M

rs. A

. Brin

dha,

SR

MIS

T

Co

urs

e C

od

e 18

EC

O13

3T

Co

urs

e N

ame

SE

NS

OR

S A

ND

TR

AN

SD

UC

ER

S

Co

urs

e O

O

pen

Elec

tive

L T

P

C

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

1

Cat

ego

ry

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

E

lect

roni

cs a

nd In

stru

men

tatio

n En

gine

erin

g D

ata

Bo

ok

/ Co

des

/Sta

nd

ard

s N

il

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Gai

n kn

owle

dge

on c

lass

ifica

tion,

and

cha

ract

eris

tics

of tr

ansd

ucer

s

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Acqu

ire th

e kn

owle

dge

of d

iffer

ent t

ypes

of i

nduc

tive

and

cap

aciti

ve s

enso

rs





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO 1: Automatic control for

continuous& discrete systems

PSO-2: Utilize PLC & DCS for

control of systems

PSO-3: Effective management

skills

CL

R-3

:

Acqu

ire th

e kn

owle

dge

of d

iffer

ent t

ypes

of t

herm

al a

nd ra

diat

ion

sens

ors

CL

R-4

:

Acqu

ire th

e kn

owle

dge

of d

iffer

ent t

ypes

of m

agne

tic s

enso

rs

CL

R-5

:

Acqu

ire th

e kn

owle

dgeo

f diff

eren

t typ

es o

f sen

sors

mea

surin

g no

n-El

ectri

cal q

uant

ity

CL

R-6

:

Loca

te t

he A

pplic

atio

ns o

f sen

sors

in in

dust

ries

and

hom

e ap

plia

nces

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

To d

emon

stra

te th

e va

rious

type

s of

bas

ic s

enso

rs.

2,3

80

80

H

-

H

- -

H

H

H

- -

- H

H

-

-

CL

O-2

:

Und

erst

and

the

indu

ctiv

e an

d ca

paci

tive

sens

ors

whi

ch a

re u

sed

for m

easu

ring

vario

us p

aram

eter

s.

1,2

80

80

H

-

- H

-

H

- -

- -

- H

-

H

-

CL

O-3

:

Und

erst

and

the

ther

mal

and

radi

atio

n se

nsor

s 1

80

80

-

- -

- -

H

- -

H

H

- -

H

- -

CL

O-4

:

Hav

e an

ade

quat

e kn

owle

dgeo

n th

e va

rious

mag

netic

sen

sors

3

80

80

-

H

H

- -

- -

- -

- -

- -

H

-

CL

O-5

:

To d

emon

stra

te th

e va

rious

type

s of

bas

ic s

enso

rs m

easu

ring

non

elec

trica

l qua

ntity

3

80

80

- -

H

- H

-

- -

- -

- H

-

- H

CL

O-6

:

Sele

ct th

e rig

ht tr

ansd

ucer

for t

he g

iven

app

licat

ion

3 80

80

H

-

H

- -

H

H

H

- -

- H

H

-

-

Du

rati

on

(h

ou

r)

9 9

9 9

9

S-1

S

LO

-1

Intro

duct

ion

to s

enso

rs/ t

rans

duce

rs,

Prin

cipl

es

Intro

duct

ion

to In

duct

ive

sens

or

Ther

mal

sen

sors

: Int

rodu

ctio

n M

agne

tic s

enso

rs: I

ntro

duct

ion

Mea

sure

men

t of N

on-E

lect

rical

qua

ntity

: In

trodu

ctio

n

SL

O-2

C

lass

ifica

tion

base

d on

diff

eren

t crit

eria

Se

nsiti

vity

and

line

arity

of t

he s

enso

r Th

erm

al E

xpan

sion

type

. Vi

llari

effe

ct

Flow

Mea

sure

men

t – In

trodu

ctio

n.

S-2

S

LO

-1

Cha

ract

eris

tics

of m

easu

rem

ent s

yste

ms

Tran

sfor

mer

type

tran

sduc

er

Acou

stic

s te

mpe

ratu

re s

enso

rs.

Wie

dman

n ef

fect

U

ltras

onic

Flo

w M

eter

s.

SL

O-2

St

atic

cha

ract

eris

tics

Acc

urac

y, P

reci

sion

, R

esol

utio

n, S

ensi

tivity

El

ectro

mag

netic

tran

sduc

er

Ther

mo-

emf s

enso

r. H

all e

ffect

H

ot W

ire A

nem

omet

ers.

S-3

S

LO

-1

Dyn

amic

cha

ract

eris

tics.

M

agne

tosr

tictiv

e tra

nsdu

cer

Mat

eria

ls fo

r the

rmos

-em

f sen

sors

. C

onst

ruct

ion,

El

ectro

mag

netic

Flo

w m

eter

s.

SL

O-2

En

viro

nmen

tal P

aram

eter

s M

ater

ials

use

d in

indu

ctiv

e se

nsor

Th

erm

ocou

ple

cons

truct

ion

perfo

rman

ce c

hara

cter

istic

s,

Prin

cipl

e an

d ty

pes.

S-4

S

LO

-1

Cha

ract

eriz

atio

n an

d its

type

M

utua

l Ind

ucta

nce

chan

ge ty

pe

Type

s.

and

its A

pplic

atio

n M

easu

rem

ent o

f Dis

plac

emen

t.

SL

O-2

El

ectri

cal c

hara

cter

izat

ion.

LV

DT:

Con

stru

ctio

n.

Ther

mo-

sens

ors

usin

g se

mic

ondu

ctor

de

vice

In

trodu

ctio

n to

sm

art s

enso

rs

Intro

duct

ion

and

type

s.

S-5

S

LO

-1

Mec

hani

cal C

hara

cter

izat

ion.

M

ater

ial,

inpu

t out

put r

elat

ions

hip,

Py

roel

ectri

c th

erm

al s

enso

rs

Film

sen

sors

: Int

rodu

ctio

n M

easu

rem

ent o

f Vel

ocity

/ Spe

ed.

SL

O-2

Th

erm

al C

hara

cter

izat

ion

Sync

hros

-Con

stru

ctio

n In

trodu

ctio

n Th

ick

film

sen

sors

In

trodu

ctio

n an

d ty

pes.

S-6

S

LO

-1

Opt

ical

Cha

ract

eriz

atio

n.

Cap

aciti

ve s

enso

r: In

trodu

ctio

n ch

arac

teris

tics

Mic

roel

ectro

mec

hani

cal s

yste

ms

Mea

sure

men

t of L

iqui

d Le

vel.

SL

O-2

Er

rors

and

its

clas

sific

atio

n.

Para

llel p

late

cap

aciti

ve s

enso

r Ap

plic

atio

n M

icro

mac

hini

ng.

Intro

duct

ion

and

type

s.

S-7

S

LO

-1

Sele

ctio

n of

tran

sduc

ers.

Va

riabl

e th

ickn

ess

diel

ectri

c ca

paci

tive

sens

or

Rad

iatio

n se

nsor

s.

Nan

o se

nsor

s M

easu

rem

ent o

f Pre

ssur

e.

SL

O-2

In

trodu

ctio

n to

mec

hani

cal s

enso

rs

Elec

trost

atic

tran

sduc

er

Intro

duct

ion

Appl

icat

ions

: Ind

ustri

al w

eigh

ing

syst

ems:

Li

nk–l

ever

mec

hani

sm.

Intro

duct

ion

and

type

s.

S-8

S

LO

-1

Res

istiv

e po

tent

iom

eter

and

type

s Pi

ezoe

lect

ric e

lem

ents

C

hara

cter

istic

s Lo

ad c

ells

– p

neum

atic

, ela

stic

and

thei

r M

easu

rem

ent o

f Vib

ratio

n.

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

2

mou

ntin

g.

SL

O-2

St

rain

gau

ge: T

heor

y, ty

pe, d

esig

n co

nsid

erat

ion,

sen

sitiv

ity.

Ultr

ason

ic S

enso

rs

Gei

ger c

ount

ers

diffe

rent

des

igns

of w

eigh

ing

syst

ems.

In

trodu

ctio

n an

d ty

pes.

S-9

S

LO

-1

Res

istiv

e tra

nsdu

cer:

RTD

, mat

eria

ls u

sed

in R

TD

Cal

cula

tion

of s

ensi

tivity

. Sc

intil

latio

n de

tect

ors

conv

eyor

s ty

pe.

Appl

icat

ion

of s

enso

rs in

indu

strie

s

SL

O-2

Th

erm

isto

r: th

erm

isto

r mat

eria

l, sh

ape

Cap

acito

r mic

roph

one,

resp

onse

ch

arac

teris

tics

Ap

plic

atio

n on

radi

atio

n se

nsor

s w

eigh

feed

er ty

pe.

Appl

icat

ion

of s

enso

rs in

hom

e ap

plia

nces

Lea

rnin

g

Res

ou

rces

1.

Patra

nabi

s, D

., “S

enso

rs a

nd T

rans

duce

rs”,

2nd E

ditio

n, P

rent

ice

Hal

l Ind

ia P

vt. L

td, 2

010.

2.

D

oebl

in,

E.O

., “M

easu

rem

ent

Syst

ems:

App

licat

ions

and

Des

ign”

, 6th

Editi

on,

Tata

McG

raw

-Hill

Book

Co.

, 201

1.

3.

Bent

ley,

J. P

., “P

rinci

ples

of M

easu

rem

ent S

yste

ms”

, 4th

Edi

tion,

Add

ison

Wes

ley

Long

man

Ltd

., U

K, 2

004.

4.

Mur

thy,

D.V

.S.,

“Tra

nsdu

cers

and

Ins

trum

enta

tion”

, Pr

entic

e H

all

of I

ndia

Pvt

. Lt

d.,

New

Del

hi,

2010

. 5.

N

eube

rt H

.K.P

., “In

stru

men

t Tr

ansd

ucer

s –

An I

ntro

duct

ion

to t

heir

perfo

rman

ce a

nd D

esig

n”,

Oxf

ord

Uni

vers

ity P

ress

, Cam

brid

ge, 2

003.

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. D

. Kar

thik

eyan

, Con

trols

oft E

ngin

eerin

g In

dia

Pvt L

td, k

arth

ikey

an.d

@co

ntro

lsof

teng

g.in

1.

Dr.

J. P

raka

sh, M

IT, C

henn

ai, p

raka

iit@

redi

ffmai

l.com

M

rs. K

. Vib

ha, S

RM

IST

2. V

. Ven

kate

swar

an, I

nstru

men

tatio

n C

onsu

ltant

,vve

nkat

99@

gmai

l.com

2.

Dr.

D. N

edum

aran

, Mad

ras

Uni

vers

ity, d

nmar

an@

gmai

l.com

D

r. G

. Jos

elin

Ret

na K

umar

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

3

Co

urs

e C

od

e 18

EC

O13

4T

Co

urs

e N

ame

IND

US

TR

IAL

AU

TO

MA

TIO

N

Co

urs

e C

ateg

ory

O

O

pen

Elec

tive

L T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

basi

c co

mpo

nent

s of

PLC

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Und

erst

and

the

use

of ti

mer

s an

d co

unte

rs in

pro

cess

aut

omat

ion





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning



skills

CL

R-3

:

Und

erst

and

DC

S ar

chite

ctur

e

CL

R-4

:

Und

erst

and

oper

ator

and

eng

inee

ring

inte

rface

in D

CS

CL

R-5

:

Und

erst

and

HAR

T si

gnal

sta

ndar

d an

d Fi

eld

bus

CL

R-6

:

Und

erst

and

Fiel

d bu

s si

gnal

sta

ndar

d.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Sele

ct P

LC b

ased

on

I/O’s

2,

3 80

80

H

M

L -

- -

- -

M

- M

L

M

M

C

LO

-2 :

Ap

ply

timer

s an

d co

unte

rs in

pro

cess

aut

omat

ion

1,2

80

80

H

H

H

H

H

-

L -

H

M

L L

H

H

H

CL

O-3

:

Sele

ct L

CU

bas

ed o

n ap

plic

atio

n 1

80

80

H

M

-

- -

- -

- L

- -

L M

L

M

CL

O-4

:

Anal

yse

data

’s in

Ope

rato

r di

spla

ys

3 80

80

H

H

- H

-

- -

- H

M

-

L H

L

M

CL

O-5

:

Inte

rpre

t ind

ustri

al d

ata

com

mun

icat

ion

mod

es

3 80

80

H

- -

- -

- -

- -

L -

L H

-

L C

LO

-6 :

G

ain

know

ledg

e on

fiel

d bu

s 3

80

80

H

L

- -

- -

- -

- -

- L

H

- L

Du

rati

on

(h

ou

r)

9 9

9 9

9

S-1

SL

O-1

Pr

ogra

mm

able

logi

c co

ntro

llers

PL

C P

rogr

amm

ing

Lang

uage

s Ev

olut

ion

of D

CS

Ope

rato

r Int

erfa

ces

Req

uire

men

ts

Intro

duct

ion

to H

ART

SL

O-2

PL

C v

s C

ompu

ter

Ladd

er D

iagr

am

Hyb

rid S

yste

m A

rchi

tect

ure

Pr

oces

s M

onito

ring

Evol

utio

n of

Sig

nal s

tand

ard

S-2

SL

O-1

Pa

rts o

f a P

LC

Func

tiona

l blo

ck

Cen

tral C

ompu

ter s

yste

m A

rchi

tect

ure

Pr

oces

s C

ontro

l H

ART

Net

wor

ks: P

oint

-to-P

oint

SL

O-2

Ar

chite

ctur

e

Sequ

entia

l Fun

ctio

n C

hart

D

CS

Arch

itect

ure

Proc

ess

Dia

gnos

tics

Mul

ti-dr

op

S-3

SL

O-1

PL

C s

ize

and

Appl

icat

ion.

In

stru

ctio

n Li

st

Com

paris

on o

f Arc

hite

ctur

e Pr

oces

s R

ecor

d Ke

epin

g Sp

lit ra

nge

cont

rol v

alve

S

LO

-2

Fixe

d an

d M

odul

ar I/

O

Stru

ctur

ed T

ext

Loca

l Con

trol U

nit A

rchi

tect

ure

Low

Lev

el O

pera

tor I

nter

face

H

ART

Fiel

d C

ontro

ller I

mpl

emen

tatio

n

S-4

SL

O-1

D

iscr

ete

Inpu

t Mod

ules

W

iring

Dia

gram

Ar

chite

ctur

al P

aram

eter

s H

igh

Leve

l Ope

rato

r Int

erfa

ce

Har

t Com

men

ds: U

nive

rsal

SL

O-2

D

iscr

ete

Out

put M

odul

es

Ladd

er lo

gic

Prog

ram

C

ompa

rison

Of L

CU

Arc

hite

ctur

e H

ardw

are

Elem

ents

In T

he O

pera

tor

Inte

rface

C

omm

on P

ract

ice

S-5

SL

O-1

An

alog

Inpu

t Mod

ules

O

n-D

elay

Tim

er In

stru

ctio

n LC

U L

angu

age

Req

uire

men

ts

Ope

rato

r Inp

ut A

nd O

utpu

t Dev

ices

D

evic

e Sp

ecifi

c S

LO

-2

Anal

og O

utpu

t Mod

ules

O

ff-D

elay

Tim

er In

stru

ctio

n Fu

nctio

n Bl

ocks

O

pera

tor D

ispl

ay H

iera

rchy

W

irele

ss H

art

S-6

SL

O-1

Sp

ecia

l I/O

Mod

ules

R

eten

tive

Tim

er

Func

tion

Bloc

k Li

brar

ies

Plan

t-Lev

el D

ispl

ay

Fiel

d Bu

s Ba

sics

S

LO

-2

Hig

h Sp

eed

Cou

nter

Mod

ule

Cas

cadi

ng T

imer

Pr

oble

m-O

rient

ed L

angu

age

Area

- Lev

el D

ispl

ay

Fiel

d Bu

s Ar

chite

ctur

e

S-7

SL

O-1

Po

wer

Sup

plie

s

Up-

Cou

nter

LC

U P

roce

ss In

terfa

cing

Issu

es

Gro

up- L

evel

Dis

play

Fi

eld

Bus

Stan

dard

S

LO

-2

Isol

ator

s D

own-

Cou

nter

Se

curit

y R

equi

rem

ents

Lo

op- L

evel

Dis

play

Fi

eld

Bus

Topo

logy

S-8

SL

O-1

In

put/o

utpu

t Dev

ices

: Sw

itche

s C

asca

ding

Cou

nter

s Se

curit

y D

esig

n Ap

proa

ch

Engi

neer

ing

Inte

rface

Req

uire

men

ts

H1

Fie

ld B

us

SL

O-2

se

nsor

s C

ombi

ning

Cou

nter

And

Tim

er F

unct

ions

O

n-Li

ne D

iagn

ostic

s R

equi

rem

ent F

or O

pera

tor I

nter

face

C

onfig

urat

ion

H2

Fie

ld B

us

S-9

SL

O-1

R

elay

s M

ath

Ope

ratio

n R

edun

dant

Con

trolle

r Des

ign

Low

Lev

el E

ngin

eerin

g In

terfa

ce,

Inte

rope

rabi

lity

S

LO

-2

Sole

noid

val

ve

Prog

ram

O

ne-O

n-O

ne, O

ne-O

n-M

any

Red

unda

ncy

Hig

h Le

vel E

ngin

eerin

g In

terfa

ces

Inte

rcha

ngea

bilit

y

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

4

Lea

rnin

g

Res

ou

rces

1.

Fra

nk D

. Pet

ruze

lla,

Pro

gram

mab

le L

ogic

Con

trol

ler,

Tat

a M

cGra

w H

ill F

ifth

Edi

tion,

201

7 2.

B

olto

n. W

, Pro

gram

mab

le L

ogic

Con

trol

lers

,6th

Edi

tion,

Els

evie

r N

ewne

s, S

ixth

Edi

tion

2016

. 3.

K

rishn

a K

ant,

Com

pute

r B

ased

Indu

stria

l Con

trol

, Sec

ond

editi

on, P

rent

ice

Hal

l of I

ndia

, New

Del

hi,2

015

4.

Bow

ten,

R H

AR

T A

pplic

atio

n G

uide

, HA

RT

Com

mun

icat

ion

foun

datio

n, 2

015.

5.

B

erge

, J, F

ield

Bus

ses

for

proc

ess

cont

rol:

Eng

inee

ring,

ope

ratio

n, m

aint

enan

ce, I

SA

pre

ss,2

015

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 40

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 20

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. D

. Kar

thik

eyan

, Con

trols

oft E

ngin

eerin

g In

dia

Pvt L

td, k

arth

ikey

an.d

@co

ntro

lsof

teng

g.in

1.

Dr.

J. P

raka

sh, M

IT, C

henn

ai, p

raka

iit@

redi

ffmai

l.com

M

r. J.

Sam

Jeb

a Ku

mar

, SR

MIS

T

2. V

. Ven

kate

swar

an, I

nstru

men

tatio

n C

onsu

ltant

,vve

nkat

99@

gmai

l.com

2.

Dr.

D. N

edum

aran

, Mad

ras

Uni

vers

ity, d

nmar

an@

gmai

l.com

D

r. G

. Jos

elin

Ret

na K

umar

, SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

5

Co

urs

e C

od

e 18

EC

O13

5T

Co

urs

e N

ame

FU

ND

AM

EN

TA

LS O

F M

EM

S

Co

urs

e C

ateg

ory

O

O

pen

Ele

ctiv

e L

T

P

C

3 0

0 3

Pre

-req

uis

ite

Co

urs

es

Nil

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

Nil

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

Lea

rnin

g

P

rog

ram

Lea

rnin

g O

utc

om

es (

PL

O)

CL

R-1

:

Und

erst

and

the

impo

rtanc

e of

mic

ro s

yste

m te

chno

logy

1 2

3

1 2

3 4

5 6

7 8

9 10

11

12

13

14

15

CL

R-2

:

Lear

n th

e op

erat

ing

prin

cipl

e of

var

ious

mic

ro s

enso

rs a

nd a

ctua

tors





Problem Analysis



Modern Tool Usage

Society & Culture


Ethics


Communication


Life Long Learning

PSO 1: Automatic control for continuous& discrete systems PSO-2: Utilize PLC & DCS for


skills

CL

R-3

:

Impa

rt th

e ap

plic

atio

ns o

f va

rious

mic

ro fa

bric

atio

n te

chni

ques

CL

R-4

:

Und

erst

and

the

diffe

renc

es a

nd n

eed

for m

icro

fabr

icat

ion

CL

R-5

:

Ope

rate

MEM

S de

sign

too

ls to

des

ign

sim

ple

mic

ro d

evic

es

CL

R-6

:

Und

erst

and

rece

nt d

evel

opm

ents

and

cha

lleng

es in

MEM

S

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Appr

ecia

te th

e fu

ndam

enta

l con

cept

s in

MEM

S te

chno

logy

2,

3 80

%

80%

H

- -

- -

H

- -

- -

- H

H

-

H

CL

O-2

:

Und

erst

and

the

fabr

icat

ion

and

mac

hini

ng te

chni

ques

of M

EMS

devi

ces

1,2

80%

80

%

H

-

- -

- H

-

- -

- -

H

- -

H

CL

O-3

:

Fam

iliariz

e w

ith th

e co

ncep

ts o

f pac

kagi

ng o

f MEM

S de

vice

s 1

80%

80

%

H

-

- H

-

H

-

- -

- -

H

H

- H

C

LO

-4 :

Ap

prec

iate

the

sign

ifica

nce

of m

icro

fabr

icat

ion

proc

esse

s 3

80%

80

%

H

-

- H

-

- -

- -

- -

H

- -

H

CL

O-5

:

Des

ign

and

Sim

ulat

e si

mpl

e st

ruct

ures

usi

ng M

EMS

softw

are

3 80

%

80%

H

- H

H

H

-

- H

H

-

- H

H

-

H

CL

O-6

:

Anal

yze

rece

nt tr

ends

and

dev

elop

men

ts in

MEM

S te

chno

logy

3

80%

80

%

H

-

- H

-

- -

- -

- -

H

H

-

H

Du

rati

on

(h

ou

r)

Intr

od

uct

ion

F

abri

cati

on

ove

rvie

w

Mic

rom

ach

inin

g

Bo

nd

ing

& S

ealin

g

Rec

ent

tren

ds

9 9

9 9

9

S-1

S

LO

-1

Intro

duct

ion

to M

EMS

and

Brie

f rec

ap o

f M

acro

dev

ices

In

trodu

ctio

n to

Mic

ro fa

bric

atio

n pr

oces

s In

trodu

ctio

n of

mic

ro m

achi

ning

(MM

C)

proc

ess

Intro

duct

ion

to M

EMS

pack

agin

g In

trodu

ctio

n to

des

ign

tool

s an

d si

mul

atio

n

SL

O-2

M

icro

elec

troni

cs a

nd M

icro

sys

tem

s Si

gnifi

canc

e of

eac

h te

chni

que

Sign

ifica

nce

of M

MC

C

halle

nges

in p

acka

ging

FE

M a

naly

sis

S-2

S

LO

-1

Scal

ing

law

s in

geo

met

ry

Proc

ess

Des

crip

tion

of P

hoto

litho

grap

hy

Bulk

MM

C p

roce

ss –

mer

its a

nd d

emer

its

Diff

eren

t lev

els

of P

acka

ging

D

esig

n of

a s

ilicon

die

for a

mic

ro p

ress

ure

sens

or

SL

O-2

Si

licon

as

idea

l mat

eria

l and

as

subs

trate

Im

plem

enta

tion

of P

hoto

litho

grap

hy

Sequ

ence

of s

teps

D

ie, d

evic

e an

d sy

stem

leve

l Si

mul

atio

n in

sof

twar

e

S-3

S

LO

-1

Si w

afer

pro

duct

ion

Proc

ess

Des

crip

tion

of C

VD

Sign

ifica

nce

of Is

otro

pic

etch

ing

Diff

eren

ces

in IC

pac

kagi

ng te

chno

logy

An

d M

EMS

pack

agin

g

Appl

icat

ion

of M

EMS

in a

utom

otiv

e in

dust

ry

SL

O-2

C

z pr

oces

s Im

plem

enta

tion,

mer

its a

nd d

emer

its o

f C

VD

Anis

otro

pic

etch

ing

Airb

ag d

eplo

ymen

t

S-4

S

LO

-1

Sequ

entia

l st

eps

in w

afer

pro

cess

ing

Proc

ess

Des

crip

tion

of P

VD

Surfa

ce M

MC

pro

cess

Die

Pre

para

tion

Opt

ical

MEM

S Ap

plic

atio

n

SL

O-2

Im

plem

enta

tion,

mer

its a

nd d

emer

its o

f PV

D

Sequ

ence

of s

teps

Pl

astic

enc

apsu

latio

n an

d its

sig

nific

ance

M

icro

mirr

ors

S-5

S

LO

-1

Che

mic

al a

nd m

echa

nica

l pro

perti

es o

f Si

and

com

poun

ds

Proc

ess

Des

crip

tion,

impl

emen

tatio

n of

Ion

impl

anta

tion

Cha

lleng

es in

sur

face

MM

C

Type

s of

wire

bon

ding

The

rmo

com

pres

sion

type

M

icro

flui

dics

App

licat

ion

SL

O-2

C

hem

ical

and

mec

hani

cal p

rope

rties

of

Poly

mer

s, Q

uartz

and

GaA

s O

xida

tion

proc

ess

Inte

rfaci

al &

Res

idua

l stre

sses

Th

erm

o so

nic,

Ultr

a so

nic

type

La

b on

chi

p m

odul

e

S-6

S

LO

-1

Che

mic

al, B

iom

edic

al ty

pe

Mic

ro s

enso

rs

Diff

usio

n pr

oces

s LI

GA

proc

ess-

des

crip

tion

mer

its a

nd

dem

erits

Ty

pes

of s

urfa

ce b

ondi

ng –

Adh

esiv

e IR

and

Gas

sen

sing

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

6

SL

O-2

Pi

ezoe

lect

ric ty

pe o

f Mic

ro s

enso

rs

Wet

etc

hing

met

hods

Im

plem

enta

tion

sold

erin

g, S

OI t

ype

of b

ondi

ng

Ther

mal

sen

sors

S-7

S

LO

-1

Ther

mal

, SM

A, P

iezo

elec

tric

actu

ator

s Pr

oper

ties

of e

tcha

nts

Proc

ess

Des

ign-

bloc

k di

agra

m a

nd

desc

riptio

n

Anod

ic b

ondi

ng a

nd li

ft of

f pro

cess

M

icro

pow

er g

ener

atio

n

SL

O-2

El

ectro

sta

tic ty

pe M

icro

Act

uato

rs

Dry

etc

hing

met

hods

El

ectro

-mec

hani

cal d

esig

n, T

herm

o-el

ectri

c de

sign

Pr

ecau

tions

to b

e ta

ken

Mic

ro T

EG

S-8

S

LO

-1

Mic

ro d

evic

es- o

pera

tion

of M

icro

gea

rs

and

mic

rom

otor

s Pr

oduc

tion

of p

lasm

a C

AD- b

lock

dia

gram

des

crip

tion

and

impl

emen

tatio

n

Type

s of

sea

ling-

Mic

ro s

hells

, Her

met

ic

seal

ing

Che

mic

al s

enso

rs

SL

O-2

M

icro

dev

ices

–op

erat

ion

of M

icro

val

ves

and

pum

ps

Etch

sto

p m

etho

ds

Mic

ro ‘O

’ rin

gs,R

eact

ive

seal

M

icro

hum

idity

sen

sors

S-9

S

LO

-1

Cas

e st

udy

Cas

e st

udy

Cas

e st

udy

Sele

ctio

n of

pac

kagi

ng m

ater

ials

M

icro

pre

ssur

e se

nsor

s

SL

O-2

M

ater

ial r

equi

rem

ents

Pa

per M

EMS

Lea

rnin

g

Res

ou

rces

1.

Ta

i-Ran

Hsu

, “M

EMS

and

MIC

RO

SYST

EMS”

, 22nd

repr

int e

ditio

n, W

iley

& so

ns, 2

015

2.

M. M

adou

, “Fu

ndam

enta

ls o

f Mic

ro fa

bric

atio

n”, T

aylo

r and

Fra

ncis

gro

up, 2

002

3.

Vard

hanG

arde

ner,”

Mic

ro s

enso

rs a

nd s

mar

t dev

ices

”, Jo

hn W

iley

& So

ns,2

001

4.

NPT

EL li

nk: h

ttps:

//npt

el.a

c.in

/dow

nloa

ds/1

1210

8092

/

Lea

rnin

g A

sses

smen

t

B

loom

’s

Leve

l of T

hink

ing

Con

tinuo

us L

earn

ing

Ass

essm

ent (

50%

wei

ghta

ge)

Fin

al E

xam

inat

ion

(50%

wei

ghta

ge)

CLA

– 1

(10

%)

CLA

– 2

(15

%)

CLA

– 3

(15

%)

CLA

– 4

(10

%)#

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e T

heor

y P

ract

ice

The

ory

Pra

ctic

e

Leve

l 1

Rem

embe

r 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- U

nder

stan

d

Leve

l 2

App

ly

40 %

-

40 %

-

40 %

-

40 %

-

40%

-

Ana

lyze

Leve

l 3

Eva

luat

e 30

%

- 30

%

- 30

%

- 30

%

- 30

%

- C

reat

e

T

otal

10

0 %

10

0 %

10

0 %

10

0 %

10

0 %

# C

LA –

4 c

an b

e fr

om a

ny c

ombi

natio

n of

thes

e: A

ssig

nmen

ts, S

emin

ars,

Tec

h T

alks

, Min

i-Pro

ject

s, C

ase-

Stu

dies

, Sel

f-S

tudy

, MO

OC

s, C

ertif

icat

ions

, Con

f. P

aper

etc

., C

ou

rse

Des

ign

ers

Exp

erts

from

Indu

stry

E

xper

ts fr

om H

ighe

r T

echn

ical

Inst

itutio

ns

Inte

rnal

Exp

erts

1. D

. Kar

thik

eyan

, Con

trols

oft E

ngin

eerin

g In

dia

Pvt L

td, k

arth

ikey

an.d

@co

ntro

lsof

teng

g.in

1.

Dr.

J. P

raka

sh, M

IT, C

henn

ai, p

raka

iit@

redi

ffmai

l.com

1.

Dr.

A. V

imal

a Ju

liet,

SRM

IST

2. M

r. H

arih

aras

udha

n - J

ohns

on C

ontro

ls, P

une,

har

ihar

asud

han.

v@jc

i.com

2.

Dr.

D. N

edum

aran

, Mad

ras

Uni

vers

ity, d

nmar

an@

gmai

l.com

2.

R.B

akiy

alak

shm

i,SR

MIS

T

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

7

B. T

ech

in E

lect

ron

ics

and

Co

mm

un

icat

ion

En

gin

eeri

ng

2018

Reg

ula

tio

ns

P

roje

ct W

ork,

Sem

inar

, Int

erns

hip

in In

dust

ry /

Hig

her

Tec

hnic

al In

stitu

tions

(P

)

D

epar

tmen

t of E

lect

roni

cs a

nd C

omm

unic

atio

n E

ngin

eerin

g S

RM

Inst

itute

of S

cien

ce a

nd T

echn

olog

y S

RM

Nag

ar, K

atta

nkul

athu

r –

6032

03, K

anch

eepu

ram

Dis

tric

t, T

amiln

adu

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

8

Co

urs

e C

od

e 18

EC

P10

9L /

18

EC

P11

0L

Co

urs

e N

ame

PR

OJE

CT

/ S

EM

ES

TE

R IN

TE

RN

SH

IP

Co

urs

e C

ateg

ory

P

Pro

ject

Wo

rk, S

emin

ar, I

nte

rnsh

ip In

Ind

ust

ry /

Hig

her

T

ech

nic

al In

stit

uti

on

s (P

)

L T

P

C

0 0

20

10

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

As re

quire

d fo

r the

pro

ject

wor

k

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

CL

R-1

:

To p

repa

re th

e st

uden

t to

gain

maj

or d

esig

n an

d or

rese

arch

exp

erie

nce

as a

pplic

able

to th

e pr

ofes

sion

CL

R-2

:

Appl

y kn

owle

dge

and

skills

acq

uire

d th

roug

h ea

rlier

cou

rse

wor

k in

the

chos

en p

roje

ct

CL

R-3

:

Mak

e co

nver

sant

with

the

code

s, s

tand

ards

, ap

plic

atio

n so

ftwar

e an

d eq

uipm

ent

CL

R-4

:

Car

ry o

ut th

e pr

ojec

ts w

ithin

mul

tiple

des

ign

cons

train

ts

CL

R-5

:

Inco

rpor

ate

mul

tidis

cipl

inar

y co

mpo

nent

s

CL

R-6

:

Acqu

ire th

e sk

ills o

f com

preh

ensi

ve re

port

writ

ing

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Des

ign

a sy

stem

/ pr

oces

s or

gai

n re

sear

ch in

sigh

t int

o a

defin

ed p

robl

em a

s w

ould

be

enco

unte

red

in e

ngin

eerin

g pr

actic

e ta

king

into

con

side

ratio

n its

impa

ct o

n gl

obal

, eco

nom

ic, e

nviro

nmen

tal a

nd s

ocia

l con

text

.

Lea

rnin

g A

sses

smen

t

Co

nti

nu

ou

s L

earn

ing

A

sses

smen

t

Ass

essm

ent t

ool

Rev

iew

I

Rev

iew

II

Rev

iew

III

Tot

al

Wei

ghta

ge

5%

20%

25

%

50%

Fin

al E

valu

atio

n

Ass

essm

ent t

ool

Pro

ject

Rep

ort

Viv

a V

oce

* T

otal

Wei

ghta

ge

20%

30

%

50%

* S

tude

nt h

as to

be

pres

ent f

or th

e vi

va v

oce

for

asse

ssm

ent.

Oth

erw

ise

it w

ill b

e tr

eate

d as

non

-app

eara

nce

for

the

exam

inat

ion

with

fina

l gra

de a

s ‘A

b’

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

15

9

Co

urs

e C

od

e 18

EC

P10

7L

Co

urs

e N

ame

MIN

OR

PR

OJE

CT

C

ou

rse

Cat

ego

ry

P

Pro

ject

Wo

rk, S

emin

ar, I

nte

rnsh

ip In

Ind

ust

ry /

Hig

her

T

ech

nic

al In

stit

uti

on

s (P

)

L T

P

C

0 0

6 3

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

As re

quire

d fo

r the

pro

ject

wor

k

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

CL

R-1

:

Prep

are

the

stud

ent t

o fo

rmul

ate

an

engi

neer

ing

prob

lem

with

in th

e do

mai

n of

the

cour

ses

unde

rgon

e

CL

R-2

:

Seek

sol

utio

n to

the

prob

lem

by

appl

ying

cod

es /

stan

dard

s/ s

oftw

are

or c

arry

ing

out e

xper

imen

ts o

r thr

ough

pro

gram

min

g

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Iden

tify

a sm

all p

art o

f maj

or s

yste

m o

r pro

cess

, und

erst

and

a pr

oble

m a

ssoc

iate

d w

ith it

and

find

sol

utio

n or

sug

gest

a p

roce

dure

lead

ing

to it

s so

lutio

n.

Lear

ning

Ass

essm

ent

Con

tinuo

us L

earn

ing

Ass

essm

ent

Ass

essm

ent t

ool

Rev

iew

I

Rev

iew

II

Fin

al R

evie

w *

T

otal

Wei

ghta

ge

20%

30

%

50%

10

0%

* S

tude

nt h

as to

be

pres

ent f

or fi

nal r

evie

w fo

r as

sess

men

t. O

ther

wis

e it

will

be

trea

ted

as n

on-a

ppea

ranc

e fo

r th

e ex

amin

atio

n w

ith fi

nal g

rade

as

‘Ab’

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

16

0

Co

urs

e C

od

e 18

EC

P10

1L /

18

EC

P10

4L

Co

urs

e N

ame

MA

SS

IVE

OP

EN

ON

LIN

E C

OU

RS

E I

/ II

Co

urs

e C

ateg

ory

P

Pro

ject

Wo

rk, S

emin

ar, I

nte

rnsh

ip In

Ind

ust

ry /

Hig

her

T

ech

nic

al In

stit

uti

on

s (P

)

L T

P

C

0 0

2 1

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

As e

xpos

ed to

dur

ing

the

dura

tion

of tr

aini

ng

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

CL

R-1

:

C

ou

rse

Lea

rnin

g O

utc

om

es (

CL

O):

At

the

end

of th

is c

ours

e, le

arne

rs w

ill be

abl

e to

:

CL

O-1

:

App

ly th

e co

ncep

ts, t

heor

ies,

law

s, te

chno

logi

es le

arnt

her

ein

to p

rovi

de e

ngin

eerin

g so

lutio

ns.

CL

O-2

:

Eng

age

in in

depe

nden

t and

life

-long

lear

ning

CL

O-3

:

Sol

ve th

e re

al w

orld

pro

blem

s in

divi

dual

ly a

nd in

col

labo

ratio

n

Lea

rnin

g A

sses

smen

t

In-s

emes

ter

Ass

essm

ent

too

l Q

uiz

Ass

ignm

ent

Non

-pro

ctor

ed /

Uns

uper

vise

d T

ests

P

roct

ored

/ S

uper

vise

d T

est

To

tal

Wei

gh

tag

e 25

%

25%

10

%

40%

10

0%

En

d s

emes

ter

exam

inat

ion

Wei

gh

tag

e :

0%

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

16

1

Co

urs

e C

od

e 18

EC

P10

2L /

18

EC

P10

5L

Co

urs

e N

ame

Ind

ust

rial

Tra

inin

g I

/ II

C

ou

rse

Cat

ego

ry

P

Pro

ject

Wo

rk, S

emin

ar, I

nte

rnsh

ip In

Ind

ust

ry /

Hig

her

T

ech

nic

al In

stit

uti

on

s (P

)

L T

P

C

0 0

2 1

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

As e

xpos

ed to

dur

ing

the

dura

tion

of tr

aini

ng

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

CL

R-1

:

Prov

ide

an e

xpos

ure

to th

e st

uden

ts o

n th

e pr

actic

al a

pplic

atio

n of

theo

retic

al c

once

pts

in a

n in

dust

ry o

r res

earc

h in

stitu

te

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Gai

n co

nfid

ence

to c

arry

out

sup

ervi

sory

, man

ager

ial,

and

desi

gn ro

les

in a

n in

dust

rial c

onte

xt.

Lea

rnin

g A

sses

smen

t

Co

nti

nu

ou

s L

earn

ing

Ass

essm

ent

Ass

essm

ent t

ool

Fin

al r

evie

w

Wei

ghta

ge

Tra

inin

g R

epor

t P

rese

ntat

ion

*

75%

25

%

* S

tude

nt h

as to

be

pres

ent f

or th

e pr

esen

tatio

n fo

r as

sess

men

t. O

ther

wis

e it

will

be

trea

ted

as n

on-a

ppea

ranc

e fo

r th

e ex

amin

atio

n w

ith fi

nal g

rade

as

‘Ab’

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

16

2

Co

urs

e C

od

e 18

EC

P10

8L

Co

urs

e N

ame

Inte

rnsh

ip

Co

urs

e C

ateg

ory

P

P

roje

ct W

ork

, Sem

inar

, In

tern

ship

In In

du

stry

/ H

igh

er

Tec

hn

ical

Inst

itu

tio

ns

(P)

L T

P

C

0 0

6 3

P

re-r

equ

isit

e C

ou

rses

N

il

Co

-req

uis

ite

Co

urs

es

Nil

Pro

gre

ssiv

e C

ou

rses

N

il

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

As e

xpos

ed to

dur

ing

the

dura

tion

of in

tern

ship

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

CL

R-1

:

Prov

ide

an e

xpos

ure

to th

e st

uden

ts o

n th

e pr

actic

al a

pplic

atio

n of

theo

retic

al c

once

pts

in a

n in

dust

ry o

r res

earc

h in

stitu

te a

nd a

lso

to g

ain

hand

s on

exp

erie

nce

in th

e co

ntex

t of d

esig

n, p

rodu

ctio

n an

d m

aint

enan

ce

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Gai

n co

nfid

ence

to c

arry

out

sup

ervi

sory

, man

ager

ial,

and

desi

gn ro

les

in a

n in

dust

rial c

onte

xt o

r res

earc

h en

viro

nmen

t

Lea

rnin

g A

sses

smen

t

Co

nti

nu

ou

s L

earn

ing

Ass

essm

ent

Ass

essm

ent t

ool

Fin

al r

evie

w

Wei

ghta

ge

Tra

inin

g R

epor

t P

rese

ntat

ion*

75%

25

%

* S

tude

nt h

as to

be

pres

ent f

or th

e pr

esen

tatio

n fo

r as

sess

men

t. O

ther

wis

e it

will

be

trea

ted

as n

on-a

ppea

ranc

e fo

r th

e ex

amin

atio

n w

ith fi

nal g

rade

as

‘Ab’

B.T

ech-

EC

E

SR

M In

stitu

te o

f Sci

ence

& T

echn

olog

y –

Aca

dem

ic C

urric

ula

(201

8 R

egul

atio

ns)

16

3

Co

urs

e C

od

e 18

EC

P10

3L /

18

EC

P10

6L

Co

urs

e N

ame

Sem

inar

I /

II

Co

urs

e C

ateg

ory

P

P

roje

ct W

ork

, Sem

inar

, In

tern

ship

In In

du

stry

/ H

igh

er

Tec

hn

ical

Inst

itu

tio

ns

(P)

L T

P

C

0 0

2 1

Pre

-req

uis

ite

Co

urs

es

Nil

C

o-r

equ

isit

e C

ou

rses

N

il P

rog

ress

ive

Co

urs

es

Nil

Co

urs

e O

ffer

ing

Dep

artm

ent

El

ectro

nics

and

Com

mun

icat

ion

Engi

neer

ing

Dat

a B

oo

k / C

od

es/S

tan

dar

ds

As a

pplic

able

Co

urs

e L

earn

ing

Rat

ion

ale

(CL

R):

Th

e pu

rpos

e of

lear

ning

this

cou

rse

is to

:

CL

R-1

:

Iden

tify

an a

rea

of in

tere

st w

ithin

the

pro

gram

or a

rela

ted

one

(mul

tidis

cipl

inar

y), c

arry

out

a li

tera

ture

sur

vey

on it

, gai

n un

ders

tand

ing

and

pres

ent t

he s

ame

befo

re a

n au

dien

ce.

Co

urs

e L

earn

ing

Ou

tco

mes

(C

LO

):

At th

e en

d of

this

cou

rse,

lear

ners

will

be a

ble

to:

CL

O-1

:

Car

ry o

ut a

sel

f-stu

dy o

f an

area

of i

nter

est a

nd c

omm

unic

ate

the

sam

e to

oth

ers

with

cla

rity.

Lea

rnin

g A

sses

smen

t

Co

nti

nu

ou

s L

earn

ing

Ass

essm

ent

Ass

essm

ent t

ool

Pre

sent

atio

n

Wei

ghta

ge

Pre

sent

atio

n m

ater

ial

P

rese

ntat

ion

skill

s / a

bilit

y to

ans

wer

que

stio

ns

/ und

erst

andi

ng o

f the

topi

c*

60%

40

%

* S

tude

nt h

as to

be

pres

ent f

or th

e pr

esen

tatio

n fo

r as

sess

men

t. O

ther

wis

e it

will

be

trea

ted

as n

on-a

ppea

ranc

e fo

r th

e ex

amin

atio

n w

ith fi

nal g

rade

as

‘Ab’

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