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Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18 MANUU | Department of Computer Science & Information Technology 1 MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY DEPARTMENT OF CS&IT Revised curriculum for with effective from Academic Year 2018-19 B.Tech. (Computer Science) General, Course structure & Theme & Semester-wise credit distribution A. Definition of Credit: 1 Hr. Lecture (L) per week 1 credit 2 Hr. Tutorial (T) per week 1 credit 3 Hr. Practical (P) per week 0.5 credit 4 2 Hours Practical(Lab)/week 1 credit B. Range of credits: A range of credits from 150 to 160 for a student to be eligible to get Under Graduate degree in Engineering. A student will be eligible to get Under Graduate degree with Honours or additional Minor Engineering, if he/she completes an additional 20 credits. These could be acquired through MOOCs. C. Structure of Undergraduate Engineering program: S. No. Credit Breakup for CSE students 1 Humanities and Social Sciences including Management courses 12 2 Basic Science courses 24 3 Engineering Science courses including workshop, drawing, basics of electrical/mechanical/computer etc 29 4 Professional core courses 49 5 Professional Elective courses relevant to chosen specialization/branch 18 6 Open subjects Electives from other technical and/or emerging subjects 12 7 Project work, seminar and internship in industry or elsewhere 15 8 Mandatory Courses [Environmental Sciences, Induction Program, Indian Constitution, Essence of Indian Traditional Knowledge] (non-credit) Total 159* *Minor variation is allowed as per need of the respective disciplines.
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Page 1: MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF …. BTech_Revised_syllabus.pdf · Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18 MANUU | Department of Computer

Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18

MANUU | Department of Computer Science & Information Technology 1

MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

DEPARTMENT OF CS&IT Revised curriculum for with effective from Academic Year 2018-19

B.Tech. (Computer Science)

General, Course structure & Theme & Semester-wise credit distribution A. Definition of Credit:

1 Hr. Lecture (L) per week 1 credit 2 Hr. Tutorial (T) per week 1 credit 3 Hr. Practical (P) per week 0.5 credit 4 2 Hours Practical(Lab)/week 1 credit

B. Range of credits: A range of credits from 150 to 160 for a student to be eligible to get Under Graduate degree

in Engineering. A student will be eligible to get Under Graduate degree with Honours or

additional Minor Engineering, if he/she completes an additional 20 credits. These could be

acquired through MOOCs.

C. Structure of Undergraduate Engineering program: S. No. Credit Breakup

for CSE students 1 Humanities and Social Sciences including Management courses 12 2 Basic Science courses 24 3 Engineering Science courses including workshop, drawing,

basics of electrical/mechanical/computer etc 29

4 Professional core courses 49 5 Professional Elective courses relevant to chosen

specialization/branch 18

6 Open subjects – Electives from other technical and/or emerging

subjects 12

7 Project work, seminar and internship in industry or elsewhere 15 8 Mandatory Courses [Environmental Sciences, Induction

Program, Indian Constitution, Essence of Indian Traditional

Knowledge]

(non-credit)

Total 159*

*Minor variation is allowed as per need of the respective disciplines.

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Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18

MANUU | Department of Computer Science & Information Technology 2

D. Credit distribution in the First year of Undergraduate Engineering program: Lecture Tutorial Laboratory/

Practical Total credits

Chemistry-I 3 1 4 6 Physics 3 1 4 6 Maths-1 3 1 0 4 Maths -2 3 1 0 4 Programming for Problem solving 3 0 4 5 English 2 0 2 3 Engineering Graphics & Design 2 0 4 4 Workshop/ Practical 2 0 4 4 Basic Electrical Engg. 3 1 2 5 *Biology 2 1 0 3 *Maths-3 3 1 0 4

*These courses may be offered preferably in the later semesters

E. Course code and definition: Course Code Definition BSC Basic Science Courses ESC Engineering Science Courses HSMC Humanities and Social Sciences including Management courses PCC-CS Professional core courses PEC -CS Professional Elective courses OEC-CS Open Elective courses LC Laboratory course MC Mandatory courses

SI Summer Industry Internship

PROJ-CS Project

HUMANITIES AND SOCIAL SCIENCES INCLUDING MANAGEMENT COURSES SL. No.

Code No. Course Title Hours per week Total Credits

Semester Lecture Tutorial Practical

1 HSMC 201 English 2 0 2 3 2 2 HSMC 301 Humanities – 1 3 0 0 3 3 3 HSMC 401 Management-I

(Organizational Behaviour)/ Finance & Accounting

3 0 0 3 4

4 HSMC 501 Humanities – II 3 0 0 3 5 Total 12

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Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18

MANUU | Department of Computer Science & Information Technology 3

BASIC SCIENCE COURSE [BSC] SL. No.

Code No. Course Title Hours per week Total Credits

Semester Lecture Tutorial Practical

1 BSC101 Physics (Semi-conductor Physics)

2 1 3 6 1

2 BSC 201 Mathematics-II (Probability and Statistics)

3 1 0 4 2

3 BSC 102 Mathematics-I (Calculus and Linear Algebra)

3 1 0 4 1

4 BSC 202 Chemistry-I 3 1 3 6 2 5 BSC 701 Biology 2 1 0 3 7 6 BSC 301 Mathematics-III

(Differential Calculus) 2 0 0 2 3

Total 25 ENGINEERING SCIENCE COURSE [ESC]

SL. No.

Code No. Course Title Hours per week Total Credits

Semester Lecture Tutorial Practical

1 ESC 101 Basic Electrical Engineering

3 1 2 5 1

2 ESC 102 Engineering Graphics & Design

2 0 4 4 1

3 ESC 201 Programming for Problem Solving

3 0 4 5 2

4 ESC 202 Workshop/Manufacturing Practices

2 0 4 4 2

5 ESC 301 Analog Electronic Circuits 3 0 4 5 3 6 ESC 302 Digital Electronics 3 0 4 5 4 7 ESC 501 Signals and Systems 3 0 0 3 5

Total 31

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Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18

MANUU | Department of Computer Science & Information Technology 4

PROFESSIONAL CORE COURSES [PCC] SL. No.

Code No. Course Title Hours per week Total Credits

Semester Lecture Tutorial Practical

1 BTCS301PCT Data Structure & Algorithms

3 0 4 5 3

2 PCC CS302 IT Workshop-(Sci Lab/MATLAB)

1 0 4 3 3

3 PCC CS401 Discrete Mathematics

3 1 0 4 4

4 PCC CS402 Computer Organization and Architecture

3 0 4 5 3

5 PCC CS403 Operating Systems 3 0 4 5 4

6 PCC CS404 Design and Analysis of Algorithms

3 0 4 5 4

7 PCC CS501 Database Management Systems

3 0 4 5 5

8 PCC CS502 Formal Language, Automats and Complier

3 0 0 3 5

9 PCC CS503 Object Oriented Programming

2 0 4 4 5

10 PCC CS601 Complier Design 3 0 4 5 6

11 PCC CS602 Computer Networks

3 0 4 5 6

Total 49 PROFESSIONAL ELECTIVE [PEC]

SL. No.

Code No. Course Title Hours per week Total Credits

Semester Lecture Tutorial Practical

1 PEC Elective – I 3 0 0 3 5 2 PEC Elective – II 3 0 0 3 6 3 PEC Elective – III 3 0 0 3 6 4 PEC Elective – IV 3 0 0 3 7 5 PEC Elective – V 3 0 0 3 7 6 PEC Elective – VI 3 0 0 3 8 7 PEC Elective – VII 3 0 0 3 7 8 PEC Elective – VIII 3 0 0 3 8

Total 24 PROFESSIONAL ELECTIVE [PEC]

SL. No.

Code No. Course Title Hours per week Total Credits

Semester Lecture Tutorial Practical

1 OEC Open Elective – I 3 0 0 3 6 2 OEC Open Elective – II 3 0 0 3 7

Total 6

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Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18

MANUU | Department of Computer Science & Information Technology 5

MAULANA AZAD NATIONAL URDU UNIVERSITY

SCHOOL OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY DEPARTMENT OF CS&IT

SCHEME OF INSTRUCTIONS, EXAMINATION & EVALUATION

(Effective for Batch Admitted from 2018-19 Academic Year) B.Tech. (Computer Science)

Total Credits (4 Year Course): 161

I. INDUCTION PROGRAM (PLEASE REFER APPENDIX-A FOR GUIDELINES) Induction Program

(mandatory) 3 Weeks duration

(Please refer Appendix-A for guidelines & also details available in the curriculum of Mandatory courses)

Induction program for students to be offered right at the start of the first year.

Physical activity Creative Arts Universal Human Values Literary Proficiency Modules Lectures by Eminent People Visits to local Areas Familiarization to Dept./Branch & Innovations

The activities during the Induction Program would have an Initial Phase, a Regular

Phase and a Closing Phase. The Initial and Closing Phases would be two days each.

Initial Phase Time Activity

Day 0

Whole day Students arrive - Hostel allotment. (Preferably do pre-allotment)

Day 1

09:00 am - 03:00 pm Academic registration

04:30 pm - 06:00 pm Orientation

Day 2

09:00 am - 10:00 am Diagnostic test (for English etc.)

10:15 am - 12:25 pm Visit to respective depts.

12:30 pm - 01:55 pm Lunch

02:00 pm - 02:55 pm Director's address

03:00 pm - 05:00 pm Interaction with parents

03:30 pm - 05:00 pm Mentor-mentee groups - Introduction within group.

(Same as Universal Human Values groups)

Regular Phase After two days is the start of the Regular Phase of induction. With this phase there

would be regular program to be followed every day.

3.2.1 Daily Schedule

Some of the activities are on a daily basis, while some others are at specified periods

within the Induction Program. We first show a typical daily timetable.

Sessn. Time Activity Remarks

Day 3 onwards

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MANUU | Department of Computer Science & Information Technology 6

06:00 am Wake up call

I 06:30 am - 07:10 am Physical activity (mild exercise/yoga)

07:15 am - 08:55 am Bath, Breakfast, etc.

II 09:00 am - 10:55 am Creative Arts / Universal Human Values

Half the groups do Creative Arts

III 11:00 am - 12:55 pm Universal Human Values /

Creative Arts Complementary alternate

01:00 pm - 02:25 pm Lunch

IV 02:30 pm - 03:55 pm Afternoon Session See below.

V 04:00 pm - 05:00 pm Afternoon Session See below.

05:00 pm - 05:25 pm Break / light tea

VI 05:30 pm - 06:45 pm Games / Special Lectures

06:50 pm - 08:25 pm Rest and Dinner

VII 08:30 pm - 09:25 pm Informal interactions (in hostels)

Sundays are off and Saturdays have the same schedule as above or have outings.

Afternoon Activities (Non-Daily)

The following five activities are scheduled at different times of the Induction Program,

and are not held daily for everyone:

1. Familiarization to Dept./Branch & Innovations

2. Visits to Local Area

3. Lectures by Eminent People

4. Literary

5. Proficiency Modules

Here is the approximate activity schedule for the afternoons (may be changed to suit

local needs):

Activity Session Remarks

Familiarization with Dept/Branch

& Innovations IV For 3 days (Day 3 to 5)

Visits to Local Area IV, V and VI For 3- days

For 3 days - interspersed (e.g., 3 Saturdays)

Lectures by Eminent People IV As scheduled - 3-5 lectures

Literary (Play / Book Reading / Lecture) IV For 3-5 days

Proficiency Modules V Daily, but only for those who need it

Closing Phase Time Activity

Last But One Day

08:30 am - 12 noon Discussions and finalization of presentation within each

group

02:00 am - 05:00 pm Presentation by each group in front of 4 other groups

besides their own (about 100 students)

Last Day

Page 7: MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF …. BTech_Revised_syllabus.pdf · Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18 MANUU | Department of Computer

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MANUU | Department of Computer Science & Information Technology 7

Whole day Examinations (if any). May be expanded to last 2 days, in

case needed.

II. SEMESTER WISE STRUCTURE OF CURRICULUM [L= Lecture, T= Tutorials, P=Practical, C= Credits]

Page 8: MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF …. BTech_Revised_syllabus.pdf · Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18 MANUU | Department of Computer

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MANUU | Department of Computer Science & Information Technology 8

PROGRAM YEAR SEMESTER B.Tech. (CS) I I

Course Code Description Course Title

Hours/Week

Credits

Score End Exam

Duration L T P Internal External

BTCS101BST Basic Science

Engineering Mathematics-I

3 1 0 4 30 70 3 Hrs

BTCS102BST Basic Science

Engineering Physics

3 1 0 4 30 70 3 Hrs

BTCS101EST Engineering Science

Basic Electrical Engineering

3 1 0 4 30 70 3 Hrs

BTCS102EST Engineering Science

Engineering Graphics & Design

0 0 6 3 50 50 3 Hrs

BTCS150BSP Basic Science

Engineering Physics Lab.

0 0 4 2 50 50 3 Hrs

BTCS150ESP Engineering Science

Basic Electrical Engineering Lab

0 0 4 2 50 50 3 Hrs

BTCS101NCT Non-CGPA Tarseel-e-Urdu. 2 0 0 - 15 35 2 Hrs

Total 19 650 Mandatory Induction Program- 3 Weeks Duration

Note: End Semester Examinations of the subject(s) weighted more than 2 credits will be for

three Hrs duration with maximum 100 marks score (30+70)

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MANUU | Department of Computer Science & Information Technology 9

PROGRAM YEAR SEMESTER B.Tech. (CS) I II

Course Code Description Course Title Hours/Week

Credits Score End

Exam Duration

L T P Internal External

BTCS201BST Basic Science

Engineering Mathematics – II 3 1 0 4 30 70 3 Hrs

BTCS202BST Basic Science

Engineering Chemistry 3 1 0 4 30 70 3 Hrs

BTCS201EST ESC Programming for Problem Solving 3 0 0 3 30 70 3 Hrs

BTCS201HST HSMC English Communication

2 0 0 2 15 35 2 Hrs

BTCS202EST Engineering Science

Engineering Mechanics 3 1 0 4 30 70 3 Hrs

BTCS250BSP Basic Science

Engineering Chemistry Lab. 0 0 4 2 50 50 3 Hrs

BTCS250ESP Engineering Science

Basic Programming Lab

0 0 4 2 50 50 3 Hrs

BTCS251ESP Engineering Science

Engineering workshop 0 0 6 3 50 50 3 Hrs

BTCS250HSP HSMC English Communication LAB

0 0 2 1 50 50 3 Hrs

Total 25 850

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MANUU | Department of Computer Science & Information Technology 10

PROGRAM YEAR SEMESTER B.Tech. (CS) II III

Course Code Description Course Title Hours/Week

Credits Score End

Exam Duration

L T P Internal External

BTCS301EST Engineering Science Course

Analog Electronic Circuits

3 0 0 3 30 70 3 Hrs

BTCS301PCT Professional Core Courses

Data structure & Algorithms

3 0 0 3 30 70 3 Hrs

BTCS302PCT Professional Core Courses

Digital Electronics 3 0 0 3 30 70 3 Hrs

BTCS301BST Basic Science course

Mathematics-III (Differential Calculus)

3 0 0 3 30 70 3 Hrs

BTCS301HST

Humanities & Social Sciences including Management courses

Values & Ethics 3 0 0 3 30 70 3 Hrs

BTCS350ESP Engineering Science Course

Analog Electronic Circuits LAB

0 0 4 2 50 50 3 Hrs

BTCS350PCP Professional Core Courses

Data structure & Algorithms LAB

0 0 4 2 50 50 3 Hrs

BTCS351PCP Professional Core Courses

Digital Electronics LAB

0 0 4 2 50 50 3 Hrs

BTCS350PCP Professional Core Courses

IT Workshop (Sci Lab/MATLAB)

0 0 4 2 50 50 3 Hrs

BTCS301NCT Non-CGPA Environmental Sciences

2 0 0 - 15 35 2 Hrs

Total 23 950

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MANUU | Department of Computer Science & Information Technology 11

PROGRAM YEAR SEMESTER B.Tech. (CS) II IV

Course Code Description Course Title Hours/Week

Credits Score End

Exam Duration

L T P Internal External

BTCS401PCT Professional Core Courses

Discrete Mathematics 3 0 0 3 30 70 3 Hrs

BTCS402PCT Professional Core Courses

Database Management Systems

3 0 0 3 30 70 3 Hrs

BTCS403PCT Professional Core Courses

Operating Systems 3 0 0 3 30 70 3 Hrs

BTCS404PCT Professional Core Courses

Object Oriented Programming

3 0 0 3 30 70 3 Hrs

BTC401EST Engineering Science Course

Signals & Systems 3 0 0 3 30 70 3 Hrs

BTCS450PCP Professional Core Courses

Database Management Systems LAB

0 0 4 2 50 50 3 Hrs

BTCS451PCP Professional Core Courses

Operating Systems LAB

0 0 4 2 50 50 3 Hrs

BTCS452PCP Professional Core Courses

Object Oriented Programming LAB

0 0 4 2 50 50 3 Hrs

BTCS401MCT Mandatory Courses

Environmental Sciences

2 0 0 - 15 35 2 Hrs

Total 21 850

Page 12: MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF …. BTech_Revised_syllabus.pdf · Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18 MANUU | Department of Computer

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MANUU | Department of Computer Science & Information Technology 12

PROGRAM YEAR SEMESTER B.Tech. (CS) III V

Course Code Description Course Title Hours/Week

Credits Score End

Exam Duration

L T P Internal External

BTCS501EST Engineering Science Course

Computer Organization & Architecture

3 0 0 3 30 70 3 Hrs

BTCS501PCT Professional Core Courses

Formal Language & Automata Theory

3 0 0 3 30 70 3 Hrs

BTCS503PCT Professional Core Courses

Design & Analysis of Algorithms

3 0 0 3 30 70 3 Hrs

BTCS401HST

Humanities & Social Sciences including Management

Organizational Behaviour

3 0 0 3 30 70 3 Hrs

BTCS501HST

Humanities & Social Sciences including Management

History of Sciences & Technology in India

3 0 0 3 30 70 3 Hrs

BTCS501PET Professional Elective Courses

Elective-I Software Engineering

3 0 0 3 30 70 3 Hrs

BTCS550ESP Engineering Science Course

Computer Organization & Architecture LAB

0 0 4 2 50 50 3 Hrs

BTCS550PCP Professional Core Courses

Design & Analysis of Algorithms LAB

0 0 4 2 50 50 3 Hrs

BTCS501NCT Mandatory Courses

Constitution of India 2 0 0 - 15 35 2 Hrs

Total 22 850

Page 13: MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF …. BTech_Revised_syllabus.pdf · Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18 MANUU | Department of Computer

Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18

MANUU | Department of Computer Science & Information Technology 13

PROGRAM YEAR SEMESTER B.Tech. (CS) III VI

Course Code Description Course Title Hours/Week

Credits Score End

Exam Duration

L T P Internal External

BTCS601PCT Professional Core Courses

Complier Design 3 0 0 3 30 70 3 Hrs

BTCS602PCT Professional Core Courses

Computer Networks 3 0 0 3 30 70 3 Hrs

BTCS601PET Professional Elective Courses

Elective-II 3 0 0 3 30 70 3 Hrs

BTCS602PET Professional Elective Courses

Elective-III

3 0 0 3 30 70 3 Hrs

BTCS601OET Open Elective Courses

Open Elective-I 3 0 0 3 30 70 3 Hrs

BTCS650PCP Professional Core Courses

Complier Design LAB 0 0 4 2 50 50 3 Hrs

BTCS651PCP Professional Core Courses

Computer Networks LAB

0 0 4 2 50 50 3 Hrs

BTCS652PCP Project Project-1 0 0 6 3 50 50

Viva-voce &

Demonstration

Total 22 800

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MANUU | Department of Computer Science & Information Technology 14

PROGRAM YEAR SEMESTER B.Tech. (CS) IV VII

Course Code Description Course Title Hours/Week

Credits Score End

Exam Duration

L T P Internal External

BTCS701PET Professional Elective Courses

Elective-IV

3 0 0 3 30 70 3 Hrs

BTCS702PET Professional Elective Courses

Elective-V

3 0 0 3 30 70 3 Hrs

BTCS701OET Open Elective Courses

Open Elective-II

3 0 0 3 30 70 3 Hrs

BTCS701BST Basic Science course

Biology / Bio-Informatics

2 1 0 3 30 70 3 Hrs

BTCS750PCP Project Project-II 0 0 12 6 100 100

Viva-voce &

Demonstration

Total 18 600

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MANUU | Department of Computer Science & Information Technology 15

PROGRAM YEAR SEMESTER B.Tech. (CS) IV VIII

Course Code Description Course Title Hours/Week

Credits Score End

Exam Duration

L T P Internal External

BTCS801PET Professional Elective Courses

Elective-VI

3 0 0 3 30 70 3 Hrs

BTCS802PET Professional Elective Courses

Elective-VII

3 0 0 3 30 70 3 Hrs

BTCS803PET Professional Elective Courses

Elective-VIII

3 0 0 3 30 70 3 Hrs

BTCS850PCP Project Project-III 0 0 12 6 100 100 Vice-voca

Total 15 500

Page 16: MAULANA AZAD NATIONAL URDU UNIVERSITY SCHOOL OF …. BTech_Revised_syllabus.pdf · Revised Syllabus & Curriculum B.Tech. (Computer Science) 2017-18 MANUU | Department of Computer

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MANUU | Department of Computer Science & Information Technology 16

Course Code Course Title Lecture Semester: I BTCS101BST Engineering Physics L T P

Version: Date of Approval: 3 1 0 Scheme of Instruction Scheme of Examination Total Duration : 60 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 30 Credits : 4 End Semester : 70 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. To acquire competency in the field of engineering with adaptability to new development in science and

technology. 2. Demonstrate various scientific principles, engineering methods and technological development. 3. Learning basic properties and characteristics of light, double slit and triple slit interference, Newton’s rings,

interference in thin films. Course Outcomes: 1. Bragg’s Law and introduced to the principles of lasers, types of lasers and applications. 2. Various terms related to properties of materials such as, permeability, polarization, etc. 3. Some of the basic laws related to quantum mechanics as well as magnetic and dielectric properties of materials. 4. Simple quantum mechanics calculations.

Detailed Contents: Unit: 1 Physics of Motion: Conservative & non conservative forces, Potential energy function in

one, two and three dimensions, equation of motion for a conservative system (in one dimension), effect of friction on simple harmonic motion. Special theory of relativity: Non relativistic view point, inertial and non-inertial frames, Galilean transformations, principle of relativity, Lorentz transformations and their consequences, mass, momentum and energy in relativity.

Unit: 2 Optics: Interference of light, Double slit and triple slit interference, Newton’s rings, interference in thin films, single slit diffraction, N slit diffraction. Introduction to lasers: qualitative introduction to lasers, uses of lasers. Principle of laser action, population inversion, Einstein coefficients, elementary laser types, applications of lasers.

Unit: 3 Electromagnetism: Maxwell’s equations, wave equation, plane electromagnetic wave, Pointing vector, electromagnetic spectrum. Quantum theory: Wave function, probability density, Schrodinger equation, free article, particle in a box, system of two dissimilar particles, system of two identical particles.

Unit: 4 Quantum Ideas: Photoelectric effect, Compton effect, Planck hypothesis, Bohr theory, de Broglie hypothesis, wave particle duality, uncertainty principle and its implications. Physics of Solids: Classification of solids, Bragg diffraction technique, Electrical properties of solids, thermal properties, classical free electron model for metals, critical assessment of the model. Classical and quantum statistics, quantum free electron model of metals, critical assessment of the model, Fermi energy, intrinsic and extrinsic semiconductors, electron and hole densities, properties of semiconductors.

Unit: 5 Frontiers of Physics: Big bang model of the universe, critical assessment of the model, elementary particles and conservation laws, Last Nobel Prize in Physics. Nanotechnology: Origin of Nanotechnology, Nano Scale, Surface to Volume Ratio, Quantum Confinement, Bottom-up Fabrication: Sol-gel, Precipitation, Combustion Methods; Top-down Fabrication: Chemical Vapour Deposition, Physical Vapour Deposition, Pulsed Laser Vapour Deposition Methods, Characterization(XRD&TEM) and Applications.

Examination and Evaluation Pattern: It include both internal evaluation (30 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (70 marks) which is mainly end semester examination. Text Books: 1 Beiser : Modern Physics 2 Mani and Damask : Modern Physics Reference Books: 1 Resnick and Halliday : Physics

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MANUU | Department of Computer Science & Information Technology 17

2 M. Ratner & D. Ratner (Pearson Ed.): Nanotechnology 3 A.J. Decker (Macmillan): Solid State Physics

Course Code Course Title Lecture Semester: I BTCS102BST Engineering Mathematics-I L T P

Version: Date of Approval: 3 1 0 Scheme of Instruction Scheme of Examination Total Duration : 60 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 30 Credits : 4 End Semester : 70 Instruction Mode : Lecture Exam Duration : 3 Hrs. Course Objectives: 1. To understand fundamentals of mathematics and its application in the field of engineering. 2. Introduce the basic concepts of differential calculus, improper and multiple integration and

differential equations. 3. Explain different mathematical distribution functions and their applications in engineering domain Course Outcomes: 1. Learn various value theorems– Generalized mean value theorem – Curvature, radius of Curvature, Centre of

curvature. Learn envelopes in Cartesian and parametric coordinates – Jacobians and their properties 2. Learn the overview of differential equations and use of equations reducible to exact form using

Integrating factors - Linear, Bernoulli ‘s equations. 3. Learn the applications to Newton’s Law of Cooling – Law of natural growth and decay Orthogonal

Trajectories in Cartesian and polar form Detailed Contents: Unit: 1 Calculus: Evolutes and involutes; Evaluation of definite and improper integrals; Beta and

Gamma functions and their properties; Applications of definite integrals to evaluate surface areas and volumes of revolutions.

Unit: 2 Calculus: Rolle’s theorem, Mean value theorems, Taylor’s and Maclaurin theorems with remainders; Indeterminate forms and L'Hospital's rule; Maxima and minima.

Unit: 3 Matrice: Matrices, vectors: addition and scalar multiplication, matrix multiplication; Linear systems of equations, linear Independence, rank of a matrix, determinants, Cramer’s Rule, inverse of a matrix, Gauss elimination and Gauss-Jordan elimination.

Unit: 4 Vector spaces: Vector Space, linear dependence of vectors, basis, dimension; Linear transformations (maps), range and kernel of a linear map, rank and nullity, Inverse of a linear transformation, rank-nullity theorem, composition of linear maps, Matrix associated with a linear map.

Unit: 5 Vector spaces: Eigenvalues, eigenvectors, symmetric, skew-symmetric, and orthogonal Matrices, eigenbases. Diagonalization; Inner product spaces, Gram-Schmidt orthogonalization.

Examination and Evaluation Pattern: It include both internal evaluation (30 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (70 marks) which is mainly end semester examination. Text Books: 1 G.B. Thomas and R.L. Finney, Calculus and Analytic geometry, 9th Edition, Pearson, Reprint, 2002. 2 Erwin Kreyszig, Advanced Engineering Mathematics, 9th Edition, John Wiley & Sons, 2006. Reference Books: 1 D. Poole, Linear Algebra: A Modern Introduction, 2nd Edition, Brooks/Cole, 2005. 2 Veerarajan T., Engineering Mathematics for first year, Tata McGraw-Hill, New Delhi,

2008.

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Course Code Course Title Lecture

Semester: I BTCS101EST Basic Electrical Engineering L T P Version: Date of Approval: 3 1 0 Scheme of Instruction Scheme of Examination Total Duration : 60 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 30 Credits : 4 End Semester : 70 Instruction Mode : Lecture Exam Duration : 3 Hrs. Course Objectives: 1. To understand the essence of electricity, conductors, semiconductors. 2. Explain insulators, electric current, electromotive force. 3. Demonstrate the principle of electric power, potential difference & Understand the working principle

of a transformer, DC generators, AC motors Course Outcomes: 1. To understand and analyze basic electric and magnetic circuits. 2. To study the working principles of electrical machines and power converters. 3. To introduce the components of low voltage electrical installations Detailed Contents: Unit: 1 DC Circuits: Electrical circuit elements (R, L and C), voltage and current sources, Kirchoff

current and voltage laws, analysis of simple circuits with dc excitation. Superposition, Thevenin and Norton Theorems. Time-domain analysis of first-order RL and RC circuits.

Unit: 2 AC Circuits: Representation of sinusoidal waveforms, peak and rms values, phasor representation, real power, reactive power, apparent power, power factor. Analysis of single-phase ac circuits consisting of R, L, C, RL, RC, RLC combinations (series and parallel). Three-phase balanced circuits, voltage and current relations in star and delta connections.

Unit: 3 Transformers: Magnetic materials, BH characteristics, ideal and practical transformer, equivalent circuit, losses in transformers, regulation and efficiency, Auto-transformer and three –phase transformers connections.

Unit: 4 Electrical Machines: Generation of rotating magnetic fields, Construction and working of a three-phase induction motor, Significance of torque-slip characteristic. Loss components and efficiency, starting and speed control of induction motor. Single-phase induction motor. Construction, working, torque-speed characteristic and speed control of separately excited dc motor. Construction and working of synchronous generators.

Unit: 5 Electrical Installations: Components of LT Switchgear: Switch Fuse Unit (SFU), MCB, ELCB, MCCB, Types of Wires and Cables, Earthing. Types of Batteries, Important Characteristics for Batteries. Elementary calculations for energy consumption, power factor improvement and battery backup.

Examination and Evaluation Pattern: It include both internal evaluation (30 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (70 marks) which is mainly end semester examination. Text Books: 1 D. P. Kothari and I. J. Nagrath, “Basic Electrical Engineering”, Tata McGraw Hill,

2010. 2 D. C. Kulshreshtha, “Basic Electrical Engineering”, McGraw Hill, 2009. Reference Books: 1 L. S. Bobrow, “Fundamentals of Electrical Engineering”, Oxford University Press,

2011. 2 E. Hughes, “Electrical and Electronics Technology”, Pearson, 2010. 3 V. D. Toro, “Electrical Engineering Fundamentals”, Prentice Hall India, 1989.

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Course Code Course Title Lecture Semester: I BTCS102EST Engineering Graphics & Design L T P

Version: Date of Approval: 0 0 6 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 50 Credits : 3 End Semester : 50 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives:

1. To prepare you to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.

2. To prepare you to communicate effectively 3. To prepare you to use the techniques, skills, and modern engineering tools necessary for engineering practise. Course Outcomes: 1. Introduction to engineering design and its place in society. 2. Exposure to the visual aspects of engineering design. 3. Exposure to engineering graphics standards. 4. Exposure to solid modeling. 5. Exposure to computer-aided geometric design. 6. Exposure to creating working drawing

Detailed Contents: Unit: 1 Introduction to Engineering Drawing: Principles of Engineering Graphics and their

significance, usage of Drawing instruments, lettering, Conic sections including the Rectangular Hyperbola (General method only); Cycloid, Epicycloid, Hypocycloid and Involute; Scales – Plain, Diagonal and Vernier Scales;

Unit: 2 Projections of Points and Straight Line: Point placed in different quadrants. Projections of straight

lines -Parallel, perpendicular, inclined to one plan and inclined to planes. True lengths and true angle

of a line.Traces of a line.

Projections of Planes: Projections of regular planes parallel, perpendicular and inclined to one

reference plane. Plane inclined to both the reference plane.

Unit: 3 Projections of Solids: Projections of regular solids, cube, prism, pyramids, tetrahedron, cylinder and

cone, axis inclined to one and both the references plane. Unit: 4 Sections and Sectional Views: True shape of section, Right Regular Solids- Prism, Cylinder,

Pyramid, Cone. Unit: 5 Isometric Projections :Principles of Isometric projection – Isometric Scale, Isometric Views,

Conventions; Isometric Views of lines, Planes, Simple and compound Solids. Customisation & CAD: Drawing consisting of set up of the drawing page and the printer, including scale settings, Setting up of units and drawing limits; ISO and ANSI standards for coordinate dimensioning and tolerancing; Orthographic constraints, Snap to objects manually and automatically; Producing drawings by using various coordinate input entry methods to draw straight lines, Applying various ways of drawing circles.

Text Books:

1 Bhatt N.D., Panchal V.M. & Ingle P.R., (2014), Engineering Drawing, Charotar Publishing House. 2 Shah, M.B. & Rana B.C. (2008), Engineering Drawing and Computer Graphics, Pearson Education. Reference Books: 1 Agrawal B. & Agrawal C. M. (2012), Engineering Graphics, TMH Publication. 2 Narayana, K.L. & P Kannaiah (2008), Text book on Engineering Drawing, Scitech Publishers.

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Course Code Course Title Lecture Semester: I BTCS150BSP Engineering Physics Lab. L T P

Version: Date of Approval: 0 0 4 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 50 Credits : 2 End Semester : 50 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. To acquire competency in the field of engineering. 2. Demonstrate to new development in physics laboratory by successfully completing the experiments. 3. Understand and learn basic theory and principles of science. Course Outcomes: 1. Learn basic properties and characteristics of light, Double slit and triple slit interference, Newton’s

rings, interference in thin films. 2. Understand the working principle of LASER, laser action, population inversion, Einstein coefficients,

elementary laser types and applications of LASER. 3. Understand magnetic field and forces, electric field and usage of quantum theory. Detailed Contents: Experiments on electromagnetic induction and electromagnetic breaking: 1. Dispersive power of the material of a prism – Spectrometer. 2. Determination of wavelength of a source – Diffraction Grating. 3. Newton’s Rings - Radius of curvature of plano convex lens. 4. Melde’s experiment – Transverse and longitudinal modes. 5. Time constant of an R-C circuit. 6. L-C-R circuit. 7. Magnetic field along the axis of current carrying coil – Stewart and Gees method. 8. Study the characteristics of LED and LASER sources. 9. Study the characteristics of p-i-n and avalanche photodiode detectors. 10. Bending losses of fibres. 11. Evaluation of numerical aperture of given fibre. 12. Energy gap of a material of p-n junction. 13. Thermo electric effect – Seebeck effect and Peltier effect. 14. Torsional pendulum. 15. Single slit diffraction using laser.

Examination and Evaluation Pattern: It include both internal evaluation (50 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (50 marks) which is mainly end semester examination. Text Books: 1 Beiser : Modern Physics 2 Mani and Damask : Modern Physics Reference Books: 1 Resnick and Halliday : Physics 2 C. Kittel (Wiley Eastern): Introduction to Solid Stat

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Course Code Course Title Lecture Semester: I BTCS150ESP Basic Electrical Engineering Lab L T P

Version: Date of Approval: 0 0 4 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 50 Credits : 2 End Semester : 50 Instruction Mode : Practical Exam Duration : 3 Hrs. Course Objectives: 1. To understand the essence of electricity, conductors, semiconductors. 2. Demonstrate the characteristics of insulators, electric current. 3. Demonstration of electromotive force, electric power, potential difference. Course Outcomes: 1. Get an exposure to common electrical components and their ratings. 2. Make electrical connections by wires of appropriate ratings. 3. Understand the usage of common electrical measuring instruments. 4. Understand the basic characteristics of transformers and electrical machines. 5. Get an exposure to the working of power electronic converters. Detailed Contents: List of experiments/demonstrations: 1. Basic safety precautions. Introduction and use of measuring instruments – voltmeter, ammeter, multi-meter,

oscilloscope. Real-life resistors, capacitors and inductors. 2. Verification of Thevenin’s and Norton Theorems. 3. Measuring the steady-state and transient time-response of R-L, R-C, and R-L-C circuits to a step change in voltage

(transient may be observed on a storage oscilloscope). Sinusoidal steady state response of R-L, and R-C circuits – impedance calculation and verification. Observation of phase differences between current and voltage. Resonance in R-L-C circuits.

4. Transformers: Observation of the no-load current waveform on an oscilloscope (non-sinusoidal wave-shape due to B-H curve nonlinearity should be shown along with a discussion about harmonics). Loading of a transformer: measurement of primary and secondary voltages and currents, and power.

5. Three-phase transformers: Star and Delta connections. Voltage and Current relationships (line-line voltage, phase-to-neutral voltage, line and phase currents). Phase-shifts between the primary and secondary side. Cumulative three-phase power in balanced three-phase circuits.

6. To Determine the Performance Characteristics of a Series Motor. 7. To Determine the Performance Characteristics of a Shunt Motor. 8. To Determine the Performance Characteristics of a Compound Motor. 9. Speed Control of DC Shunt Motor. 10. To Determine the Load Characteristics of a Shunt Generator. 11. To Determine the Load Characteristics of a Single Phase Induction Motor. 12. To Determine the Performance Characteristics of a Three Phase Induction Motor. 13. Demonstration of cut-out sections of machines: dc machine (commutator-brush arrangement), induction machine

(squirrel cage rotor), synchronous machine (field winging - slip ring arrangement). 14. Synchronous speed of two and four-pole, three-phase induction motors. Direction reversal by change of phase-

sequence of connections. Torque-Slip Characteristic of an induction motor. Generator operation of an induction machine driven at super-synchronous speed.

15. Synchronous Machine operating as a generator: stand-alone operation with a load. Control of voltage through field excitation.

16. Demonstration of (a) dc-dc converters (b) dc-ac converters – PWM waveform (c) the use of dc-ac converter for speed control of an induction motor and (d) Components of LT switchgear

Examination and Evaluation Pattern: It include both internal evaluation (50 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (50 marks) which is mainly end semester examination. Text Books: 1 Basic Electrical Engineering, S.N. Singh, PHI, Learning Private Limited. 2 Electrical Machines M. N. Bandyopadhya, PHI, Learning Private Limited. Reference Books:

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1 Electrical Machines, Ashfaq Husain, Dhanpatrai Company, 4th edition. 2 Basic Electrical Engineering, D.C. Kulshreshtha, revised 1st edition, Tata Mc-Graw Hill education pvt.

Ltd. 3 Testing Commissioning Operation & Maintenance Of Electrical Equipment – S. Rao Khanna Publication.

Course Code Course Title Lecture

Semester: I BTCS101NCT Tarseel-e-Urdu L T P

Version: Date of Approval: 2 0 0 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 50 Periods/ Week : 4 Internal Evaluation : 15 Credits : - End Semester : 35 Instruction Mode : Lecture Exam Duration : 2 Hrs.

Course Objectives:

Course Outcomes:

Detailed Contents: Unit: 1 Unit: 2 Unit: 3 Unit: 4 Unit: 5 Unit: 6 Unit: 7 Examination and Evaluation Pattern: It include both internal evaluation (15 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (35 marks) which is mainly end semester examination. Text Books: 1 Reference Books: 1 2

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Course Code Course Title Lecture Semester: II BTCS201BST Engineering Mathematics – II L T P

Version: Date of Approval: 3 1 0 Scheme of Instruction Scheme of Examination Total Duration : 60 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 30 Credits : 4 End Semester : 70 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. Develop a foundation of matrices, partial differential equations, Laplace transformation and numerical analysis. 2. Explore a variety of various mathematical structures by focusing on mathematical objects, operations, and

resulting properties. 3. Understand and learn uses and applications of matrices, partial differential equations, Laplace transformation and

numerical analysis in the field of engineering and technology. Course Outcomes: 1. The ideas of probability and random variables and various discrete and continuous probability distributions

and their properties. 2. The basic ideas of statistics including measures of central tendency, correlation and regression. 3. The statistical methods of studying data samples.

Detailed Contents: Unit: 1 Basic Probability: Probability spaces, conditional probability, independence; Discrete random

variables, Independent random variables, the multinomial distribution, Poisson approximation to the binomial distribution, infinite sequences of Bernoulli trials, sums of independent random variables; Expectation of Discrete Random Variables, Moments, Variance of a sum, Correlation coefficient, Chebyshev's Inequality.

Unit: 2 Continuous Probability Distributions: Continuous random varibales and their properties, distribution functions and densities, normal, exponential and gamma densities.

Unit: 3 Bivariate Distributions: Bivariate distributions and their properties, distribution of sums and quotients, conditional densities, Bayes' rule.

Unit: 4 Basic Statistics: Measures of Central tendency: Moments, skewness and Kurtosis - Probability distributions: Binomial, Poisson and Normal - evaluation of statistical parameters for these three distributions, Correlation and regression – Rank correlation.

Unit: 5 Applied Statistics: Curve fitting by the method of least squares- fitting of straight lines, second degree parabolas and more general curves. Test of significance: Large sample test for single proportion, difference of proportions, single mean, difference of means, and difference of standard deviations.

Unit: 6 Small samples: Test for single mean, difference of means and correlation coefficients, test for ratio of variances - Chi-square test for goodness of fit and independence of attributes.

Examination and Evaluation Pattern: It include both internal evaluation (30 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (70 marks) which is mainly end semester examination. Text Books: 1 Erwin Kreyszig, Advanced Engineering Mathematics, 9th Edition, John Wiley & Sons, 2006. P. G. Hoel, S. C. Port and C. J. Stone, Introduction to Probability Theory, Universal Book Stall, 2003

(Reprint). Reference Books: 1 S. Ross, A First Course in Probability, 6th Ed., Pearson Education India, 2002. 2 W. Feller, An Introduction to Probability Theory and its Applications, Vol. 1, 3rd Ed.,

Wiley, 1968.

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Course Code Course Title Lecture Semester: II BTCS202BST Engineering Chemistry L T P

Version: Date of Approval: 3 1 0 Scheme of Instruction Scheme of Examination Total Duration : 60 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 30 Credits : 4 End Semester : 70 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. To understand the physical and chemical properties of atoms, treatment of water. 2. Explain reactivity of organic molecules, types of reactions and mechanism, Classification of fuel and

characteristics of good fuel. 3. Explain conventional fuels (solid, liquid, gaseous). Solid fuels- Coal analysis- (proximate and ultimate) and their

significance. Liquid fuels – petroleum and its refining cracking – types – fixed bed catalytic. Course Outcomes: 1. Analyse microscopic chemistry in terms of atomic and molecular orbitals and intermolecular forces. 2. Rationalise bulk properties and processes using thermodynamic considerations. 3. Distinguish the ranges of the electromagnetic spectrum used for exciting different molecular energy levels in

various spectroscopic techniques 4. Rationalise periodic properties such as ionization potential, electronegativity, oxidation states and

electronegativity. 5. List major chemical reactions that are used in the synthesis of molecules.

Detailed Contents: Unit: 1 Atomic and molecular structure: Schrodinger equation. Particle in a box solutions and their

applications for conjugated molecules and nanoparticles. Forms of the hydrogen atom wave functions and the plots of these functions to explore their spatial variations. Molecular orbitals of diatomic molecules and plots of the multicenter orbitals. Equations for atomic and molecular orbitals. Energy level diagrams of diatomic. Pi-molecular orbitals of butadiene and benzene and aromaticity. Crystal field theory and the energy level diagrams for transition metal ions and their magnetic properties. Band structure of solids and the role of doping on band structures.

Unit: 2 Spectroscopic techniques and applications: Principles of spectroscopy and selection rules. Electronic spectroscopy. Fluorescence and its applications in medicine. Vibrational and rotational spectroscopy of diatomic molecules. Applications. Nuclear magnetic resonance and magnetic resonance imaging, surface characterisation techniques. Diffraction and scattering.

Unit: 3 Intermolecular forces and potential energy surfaces: Ionic, dipolar and van Der Waals interactions. Equations of state of real gases and critical phenomena. Potential energy surfaces of H3, H2F and HCN and trajectories on these surfaces.

Unit: 4 Use of free energy in chemical equilibria: Thermodynamic functions: energy, entropy and free energy. Estimations of entropy and free energies. Free energy and emf. Cell potentials, the Nernst equation and applications. Acid base, oxidation reduction and solubility equilibria. Water chemistry. Corrosion. Use of free energy considerations in metallurgy through Ellingham diagrams.

Unit: 5 Periodic properties: Effective nuclear charge, penetration of orbitals, variations of s, p, d and f orbital energies of atoms in the periodic table, electronic configurations, atomic and ionic sizes, ionization energies, electron affinity and electronegativity, polarizability, oxidation states, coordination numbers and geometries, hard soft acids and bases, molecular geometries.

Unit: 6 Stereochemistry: Representations of 3 dimensional structures, structural isomers and stereoisomers, configurations and symmetry and chirality, enantiomers, diastereomers, optical activity, absolute configurations and conformational analysis. Isomerism in transitional metal compounds.

Unit: 7 Organic reactions and synthesis of a drug molecule: Introduction to reactions involving substitution, addition, elimination, oxidation, reduction, cyclization and ring openings. Synthesis of a commonly used drug molecule.

Examination and Evaluation Pattern: It include both internal evaluation (30 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (70 marks) which is mainly end semester examination.

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Text Books: 1 University chemistry, by B. H. Mahan. 2 Chemistry: Principles and Applications, by M. J. Sienko and R. A. Plane. 3 Fundamentals of Molecular Spectroscopy, by C. N. Banwell Reference Books:

1 Engineering Chemistry (NPTEL Web-book), by B. L. Tembe, Kamaluddin and M. S. Krishnan

2 Physical Chemistry, by P. W. Atkins 3 Organic Chemistry: Structure and Function by K. P. C. Volhardt and N. E. Schore, 5th Edition

http://bcs.whfreeman.com/vollhardtschore5e/default.asp

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Course Code Course Title Lecture Semester: II BTCS201EST Programming for Problem Solving L T P

Version: Date of Approval: 3 0 0 Scheme of Instruction Scheme of Examination Total Duration : 60 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 30 Credits : 3 End Semester : 70 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives:

1. Provide an overview of computers and problem solving methods using ‘C’ language 2. Serve as a foundation for the study of programming languages. 3. Learn to develop program using ‘C’ language. Course Outcomes: 1. To formulate simple algorithms for arithmetic and logical problems. 2. To translate the algorithms to programs (in C language). 3. To test and execute the programs and correct syntax and logical errors. 4. To implement conditional branching, iteration and recursion. 5. To decompose a problem into functions and synthesize a complete program using divide and conquer approach. 6. To use arrays, pointers and structures to formulate algorithms and programs. 7. To apply programming to solve matrix addition and multiplication problems and searching and sorting problems. 8. To apply programming to solve simple numerical method problems, namely rot finding of function, differentiation

of function and simple integration

Detailed Contents: Unit: 1 Introduction to Programming: Introduction to components of a computer system (disks,

memory, processor, where a program is stored and executed, operating system, compilers etc.) Idea of Algorithm: steps to solve logical and numerical problems. Representation of Algorithm: Flowchart/Pseudocode with examples. From algorithms to programs; source code, variables (with data types) variables and memory locations, Syntax and Logical Errors in compilation, object and executable code.

Unit: 2 Arithmetic expressions and precedence: Conditional Branching and Loops, Writing and evaluation of conditionals and consequent branching, Iteration and loops.

Unit: 3 Arrays, Arrays (1-D, 2-D), Character arrays and Strings Unit: 4 Basic Algorithms: Searching, Basic Sorting Algorithms (Bubble, Insertion and Selection),

Finding roots of equations, notion of order of complexity through example programs (no formal definition required).

Unit: 5 Function: Functions (including using built in libraries), Parameter passing in functions, call by value, Passing arrays to functions: idea of call by reference.

Unit: 6 Recursion: Recursion, as a different way of solving problems. Example programs, such as Finding Factorial, Fibonacci series, Ackerman function etc. Quick sort or Merge sort.

Unit: 7 Structure: Structures, Defining structures and Array of Structures Unit: 8 Pointers: Idea of pointers, Defining pointers, Use of Pointers in self-referential structures,

notion of linked list (no implementation) Unit: 9 File handling (only if time is available, otherwise should be done as part of the lab) Examination and Evaluation Pattern: It include both internal evaluation (30 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (70 marks) which is mainly end semester examination. Text Books: 1 Byron Gottfried, Schaum's Outline of Programming with C, McGraw-Hill 2 E. Balaguruswamy, Programming in ANSI C, Tata McGraw-Hill

Reference Books: 1 Brian W. Kernighan and Dennis M. Ritchie, The C Programming Language, Prentice Hall of India

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Course Code Course Title Lecture Semester: II BTCS201HST English Communication L T P

Version: Date of Approval: 2 0 0 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 50 Periods/ Week : 4 Internal Evaluation : 15 Credits : 2 End Semester : 35 Instruction Mode : Lecture Exam Duration : 2 Hrs.

Course Objectives: 1. Enhancement of the soft and communication skills. 2. Understanding the phonetics & developing vocabulary. 3. Writing applications, letters formal and non-formal, technical writing. Course Outcomes: 1. Read and write paragraphs in English confidently & Differentiate among homonyms, homophones, synonyms and

antonyms. 2. Read and write the specific details and information such as writing applications, formal letters, CVs, technical

reports and project reports. 3. Communicate with more confident among students, teachers & other stakeholders of the society.

Detailed Contents: Unit: 1 Vocabulary Building:

1.1. The concept of Word Formation 1.2. Root words from foreign languages and their use in English 1.3. Acquaintance with prefixes and suffixes from foreign languages in English to form

derivatives 1.4. Synonyms, antonyms, and standard abbreviations

Unit: 2 Basic Writing Skills: 2.1. Sentence Structures 2.2. Use of phrases and clauses in sentences 2.3. Importance of proper punctuation 2.4. Creating coherence 2.5. Organizing principles of paragraphs in documents 2.6. Techniques for writing precisely

Unit: 3 Identifying Common Errors in Writing: 3.1. Subject-verb agreement 3.2. Noun-pronoun agreement 3.3. Misplaced modifiers 3.4. Articles 3.5. Prepositions 3.6. Redundancies 3.7. Clichés

Unit: 4 Nature and Style of sensible Writing: 4.1. Describing 4.2. Defining 4.3. Classifying 4.4. Providing examples or evidence 4.5. Writing introduction and conclusion

Unit: 5 Writing Practices: 5.1. Comprehension 5.2. Précis Writing 5.3. Essay Writing

Unit: 6 Oral Communication: (This unit involves interactive practice sessions in Language Lab) 6.1. Listening Comprehension 6.2. Pronunciation, Intonation, Stress and Rhythm 6.3. Common Everyday Situations: Conversations and Dialogues 6.4. Communication at Workplace

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6.5. Interviews 6.6. Formal Presentations

Examination and Evaluation Pattern: It include both internal evaluation (15 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (35 marks) which is mainly end semester examination. Text Books: 1 Practical English Usage. Michael Swan. OUP. 1995.

2 Remedial English Grammar. F.T. Wood. Macmillan.2007 Reference Books: 1 On Writing Well. William Zinsser. Harper Resource Book. 2001 2 Study Writing. Liz Hamp-Lyons and Ben Heasly. Cambridge University Press. 2006. 3 Communication Skills. Sanjay Kumar and PushpLata. Oxford University Press. 2011. 4 Exercises in Spoken English. Parts. I-III. CIEFL, Hyderabad. Oxford University Press

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Course Code Course Title Lecture

Semester: II BTCS202EST Engineering Mechanics L T P

Version: Date of Approval: 3 1 0 Scheme of Instruction Scheme of Examination Total Duration : 60 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 30 Credits : 4 End Semester : 70 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives:

1. The objective of this Course is to provide an introductory treatment of Engineering Mechanics to all the students of engineering, with a view to prepare a good foundation for taking up advanced courses in the area in the subsequent semesters.

2. A working knowledge of statics with emphasis on force equilibrium and free body diagrams. Provides an understanding of the kinds of stress and deformation and how to determine them in a wide range of simple, practical structural problems, and an understanding of the mechanical behaviour of materials under various load conditions.

Course Outcomes: 1. Use scalar and vector analytical techniques for analysing forces in statically determinate structures 2. Apply fundamental concepts of kinematics and kinetics of particles to the analysis of simple, practical

problems 3. Apply basic knowledge of maths and physics to solve real-world problems 4. Understand measurement error, and propagation of error in processed data 5. Understand basic kinematics concepts – displacement, velocity and acceleration (and their angular

counterparts); 6. Understand basic dynamics concepts – force, momentum, work and energy; 7. Understand and be able to apply Newton’s laws of motion; 8. Understand and be able to apply other basic dynamics concepts - the Work-Energy principle, Impulse-

Momentum principle and the coefficient of restitution; 9. Extend all of concepts of linear kinetics to systems in general plane motion (applying Euler's Equation

and considering energy of a system in general plane motion, and the work of couples and moments of forces)

Detailed Contents: Unit: 1 Introduction to Engineering Mechanics:Force Systems Basic concepts, Particle equilibrium in 2-D & 3-D;

Rigid Body equilibrium; System of Forces, Coplanar Concurrent Forces, Components in Space – Resultant- Moment of Forces and its Application; Couples and Resultant of Force System, Equilibrium of System of Forces, Free body diagrams, Equations of Equilibrium of Coplanar Systems and Spatial Systems.

Unit: 2 Friction: Types of friction, Limiting friction, Laws of Friction, Static and Dynamic Friction; Motion of Bodies, wedge friction, screw jack & differential screw jack.

Unit: 3 Centroid and Centre of Gravity :Centroid of simple figures from first principle, centroid of composite sections; Centre of Gravity and its implications; Area moment of inertia- Definition, Moment of inertia of plane sections from first principles, Theorems of moment of inertia, Moment of inertia of standard sections and composite sections; Mass moment inertia of circular plate, Cylinder, Cone, Sphere.

Unit: 4 Review of particle dynamics: Rectilinear motion; Plane curvilinear motion (rectangular, path, and polar coordinates). 3-D curvilinear motion; Relative and constrained, motion; Newton’s 2nd law (rectangular, path, and polar coordinates). Work-kinetic energy, power, potential energy. Impulse-momentum (linear, angular);

Unit: 5 Introduction to Kinetics of Rigid Bodies: Basic terms, general principles in dynamics; Types of motion, Instantaneous centre of rotation in plane motion and simple problems; D’Alembert’s principle and its applications in plane motion and connected bodies; Work energy principle and its application in plane motion of connected bodies; Kinetics of rigid body rotation.

Examination and Evaluation Pattern: It include both internal evaluation (30 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (70 marks) which is mainly end semester examination.

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Text Books: 1 Engineering Mechanics 6th Edition by R.K. Bansal , Laxmi Publications. New Delhi, 2008.

2 Engineering Mechanics by P. N Chandramouli, PHI Learning Pvt. Ltd , 2011

Reference Books: 1 Engineering Mechanics 20th Edition by R.S.Khurmi ,Chand Publications.

2 Engineering Mechanics: Statics and Dynamics 1st Edition, Tata McGraw Hill, N. H. Dubey. New Delhi, 2012

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Course Code Course Title Lecture Semester: II BTCS250BSP Engineering Chemistry Lab. L T P

Version: Date of Approval: 0 0 4 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 50 Credits : 2 End Semester : 50 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. To understand the physical and chemical properties of atoms, treatment of water. 2. Explain reactivity of organic molecules, types of reactions and mechanism, Classification of fuel and

characteristics of good fuel. 3. Explain conventional fuels (solid, liquid, gaseous). Solid fuels- Coal analysis- (proximate and ultimate) and their

significance. Liquid fuels – petroleum and its refining cracking – types – fixed bed catalytic. Course Outcomes: 1. The chemistry laboratory course will consist of experiments illustrating the principles of chemistry relevant to

the study of science and engineering. 2. Estimate rate constants of reactions from concentration of reactants/products as a function of time. 3. Measure molecular/system properties such as surface tension, viscosity, conductance of solutions, redox

potentials, chloride content of water, etc. 4. Synthesize a small drug molecule and analyse a salt sample.

Detailed Contents: List of experiments/demonstrations: Determination of surface tension and viscosity Thin layer chromatography Ion exchange column for removal of hardness of water Determination of chloride content of water Colligative properties using freezing point depression Determination of the rate constant of a reaction Determination of cell constant and conductance of solutions Potentiometry - determination of redox potentials and emfs Synthesis of a polymer/drug Saponification/acid value of an oil Chemical analysis of a salt Lattice structures and packing of spheres Models of potential energy surfaces Chemical oscillations- Iodine clock reaction Determination of the partition coefficient of a substance between two immiscible liquids Adsorption of acetic acid by charcoal Use of the capillary viscosimeters to the demonstrate of the isoelectric point as the pH of minimum

viscosity for gelatin sols and/or coagulation of the white part of egg Examination and Evaluation Pattern: It include both internal evaluation (50 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (50 marks) which is mainly end semester examination. Text Books: 1 Practical Engineering Chemistry by K. Mukkanti, etal, B.S. Publications, Hyderabad. 2 Inorganic quantitative analysis, Vogel. Reference Books: 1 Text Book of engineering chemistry by R. N. Goyal and Harrmendra Goel. 2 A text book on experiments and calculation Engg. S.S. Dara.

3 Instrumental methods of chemical analysis, Chatwal, Anand, Himalaya Publications.

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Course Code Course Title Lecture Semester: II BTCS250ESP Basic Programming Lab L T P

Version: Date of Approval: 0 0 4 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 50 Credits : 2 End Semester : 50 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. Provide an overview of computers and problem solving methods using ‘C’ language. 2. Serve as a foundation for the study of programming languages. 3. Learn to develop program using ‘C’ language. Course Outcomes: 1. To formulate the algorithms for simple problems. 2. To translate given algorithms to a working and correct program. 3. To be able to correct syntax errors as reported by the compilers. 4. To be able to identify and correct logical errors encountered at run time. 5. To be able to write iterative as well as recursive programs. 6. To be able to represent data in arrays, strings and structures and manipulate them through a program. 7. To be able to declare pointers of different types and use them in defining selfreferential structures. 8. To be able to create, read and write to and from simple text files.

Detailed Contents: Tutorial 1: Problem solving using computers:

Lab1: Familiarization with programming environment. Tutorial 2: Problem solving using computers:

Lab2: Familiarization with programming environment. Tutorial 3: Branching and logical expressions:

Lab 3: Problems involving if-then-else structures. Tutorial 4: Loops, while and for loops:

Lab 4: Iterative problems e.g., sum of series. Tutorial 5: 1D Arrays: searching, sorting:

Lab 5: 1D Array manipulation. Tutorial 6: 2D arrays and String

Lab 6: Matrix problems, String operations. Tutorial 7: Functions, call by value:

Lab 7: Simple functions. Tutorial 8 &9: Numerical methods (Root finding, numerical differentiation, numerical integration):

Lab 8 and 9: Programming for solving Numerical methods problems. Tutorial 10: Recursion, structure of recursive calls

Lab 10: Recursive functions. Tutorial 11: Pointers, structures and dynamic memory allocation

Lab 11: Pointers and structures. Tutorial 12: File handling:

Lab 12: File operations. Examination and Evaluation Pattern: It include both internal evaluation (50 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (50 marks) which is mainly end semester examination. Text Books: 1 E. Balagurusamy (2008), Computing Fundamentals And C Programming, Tata McGraw-Hill. 2 Brian W. Kernighan and Dennis M. Ritchie, The C programming Language, Prentice-Hall in 1988.

Reference Books: 1 Let Us C by Yashwanth Kanethar, BPB publications. 2 Programming in ANSI C by E. Balaguruswamy.

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Course Code Course Title Lecture Semester: II BTCS251ESP Engineering workshop L T P

Version: Date of Approval: 0 0 6 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 50 Credits : 3 End Semester : 50 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. To understand the physical aspects of engineering through laboratory technology. 2. Understand the working of carpentry, fitting and plumbing techniques. 3. Learn the characteristic engineering workshop with hands on practice on machine tools. Course Outcomes: 1. Upon completion of this laboratory course, students will be able to fabricate components with their own hands. 2. They will also get practical knowledge of the dimensional accuracies and dimensional tolerances possible with

different manufacturing processes. 3. By assembling different components, they will be able to produce small devices of their interest.

Detailed Contents: Lectures & videos: (10 hours) Detailed contents

1. Manufacturing Methods- casting, forming, machining, joining, advanced manufacturing methods. 2. CNC machining, Additive manufacturing. 3. Fitting operations & power tools. 4. Electrical & Electronics. 5. Carpentry & Plumbing. 6. Plastic moulding, glass cutting. 7. Metal casting. 8. Welding (arc welding & gas welding), brazing.

Examination and Evaluation Pattern: It include both internal evaluation (50 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (50 marks) which is mainly end semester examination. Text Books: 1 Hajra Choudhury S.K., Hajra Choudhury A.K. and Nirjhar Roy S.K., “Elements of Workshop Technology”, Vol. I 2008 and Vol. II

2010, Media promoters and publishers private limited, Mumbai. 2 Kalpakjian S. And Steven S. Schmid, “Manufacturing Engineering and Technology”, 4th edition, Pearson Education India Edition,

2002. Reference Books: 1 Gowri P. Hariharan and A. Suresh Babu,”Manufacturing Technology – I” Pearson Education, 2008. 2 Roy A. Lindberg, “Processes and Materials of Manufacture”, 4th edition, Prentice Hall India, 1998. 3 Rao P.N., “Manufacturing Technology”, Vol. I and Vol. II, Tata McGrawHill House, 2017.

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Course Code Course Title Lecture

Semester: II BTCS250HSP English Communication LAB L T P

Version: Date of Approval: 0 0 2 Scheme of Instruction Scheme of Examination Total Duration : 30 Hrs. Maximum Score : 100 Periods/ Week : 4 Internal Evaluation : 50 Credits : 1 End Semester : 50 Instruction Mode : Lecture Exam Duration : 3 Hrs.

Course Objectives: 1. To achieve the perfection of understanding in English language. 2. To understand the spoken English. 3. To understand the written English. Course Outcomes: 1. Student will be able to understand, comprehend and analyse the professional and soft communication skills 2. Learn the perfection of understanding in English language. 3. Can read, write and communicate effectively in English.

Detailed Contents: Unit: 1 Introduction to Phonetics – Speech Sounds – Vowels & Consonants Unit: 2 Structure of Syllables – weak forms & strong forms Unit: 3 Minimal pairs – word accent and stress shifts Unit: 4 Intonation and common errors in pronunciation Unit: 5 Conversation practice – oral presentation skills

a. Greeting and leave taking, introducing oneself and others b. Apologizing, interrupting, requesting and making polite conversation c. Giving instructions and directions: speaking of hypothetical situations d. Narrating, expressing opinions and telephone interactions

Examination and Evaluation Pattern: It include both internal evaluation (50 marks) comprising two class sessional exams/ assignments/ quiz/ seminar presentation etc. and external evaluation (50 marks) which is mainly end semester examination. Text Books:

1 “Enjoying Every day English”, Published by Sangam Books, Hyderabad 2 Innovate with English: A Course in English for Engineering Students, edited by T Samson, Foundation Books. Reference Books: 1 English Grammar Practice, Raj N Bakshi, Orient Longman 2 Technical Communication by Daniel Riordan. 2011. Cengage Publications. New Delhi

3 Effective English, edited by E Suresh Kumar, A RamaKrishna Rao, P Sreehari, Published by Pearson

4 Handbook of English Grammar& Usage, Mark Lester and Larry Beason, Tata Mc Graw –Hill. 5 Spoken English, R.K. Bansal & JB Harrison, Orient Longman 6 Technical Communication, Meenakshi Raman, Oxford University Press 7 Objective English Edgar Thorpe & Showick Thorpe, Pearson Education

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PROFESSIONAL ELECTIVE COURSES

Additional Courses for B.Tech. (Hons.)

Branch/ Course: Computer Science Engineering

In order to have an Honours degree, a student chooses 19-20 credits from the following

courses in addition. The professional electives may be selected excluding these.

SL.

No.

Type Code Course Title Hours per week Credits

Lecture Tutorial Practical

1 PEC PEC-CS-T# Graph Theory 3 0 0 3

2 PEC PEC-CS-T# Software Engineering 3 0 4 5

3 PEC PEC-CS-T# Embedded Systems 3 0 4 5

4 PEC PEC-CS-T# Artificial Intelligence 3 0 0 3

5 PEC PEC-CS-T# Cryptography & Network

Security

3 0 0 3

6 PEC PEC-CS-T# Internet-of-Things 3 0 0 3

7 PEC PEC-CS-T# Data Analytics 3 0 0 3

8 PEC PEC-CS-T# Machine Learning 3 0 0 3

ELECTIVES: Electives will be introduced in 4 threads besides the Open Elective. There are 6 slots for Electives and 4 slots for Open Electives. The department may permit students to take 50% of these (electives + open electives) from other disciplines, based on the choices of the students and consent of course advisors.

A. Theory B. Systems C. Data Science D. Applications E. Open Electives

The students will have options of selecting the electives from the different threads depending on the specialization they wish to acquire. There should be at least two electives from the open elective choices; the rest two can be taken from the other threads, if intended. The Electives are shown in different threads. The list is suggestive. The actual list of electives will depend on the availability of faculty and their research interests. However, there should be courses available in each thread. On-line MOOC courses may contribute upto 20% of the credits, with in-house examination being conducted.

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Theory and Algorithms

Systems

Data Science and Machine Intelligence

Applications

Open Electives

PET-CST01

Theory of Computation

PET-CSS01

Advanced Computer

Architecture

PET-CSD01

Artificial Intelligence

PET-CSA01 Image Processing

PET-CSO01 Soft Skill and Interpersonal Communication

PET-CST02

Graph theory

PET-CSS02

Software Engineering

PET-CSD02

Machine Learning

PET-CSA02 Digital Signal Processing

PET-CSO02 Human Resource Development and Organizational Behaviour

PET-CST03

Advanced Algorithms

PET-CSS03

Distributed Systems

PET-CSD03

Data Mining

PET-CSA03 Cloud Computing

PET-CSO03 Cyber Law and Ethicsz

PET-CST04

Parallel and

Distributed Algorithms

PET-CSS04

Embedded Systems

PET-CSD04

Soft Computing

PET-CSA04 Human Computer Interaction

PET-CSO04 Introduction

PET-CST05

Computational

Complexity

PET-CSS05

Advanced Operating

Systems

PET-CSD05

Speech and Natural

Language Processing

PET-CSA05 Electronic Design Automation

PET-CSO05 Comparative Study

PET-CST06

Computational

Geometry

PET-CSS06

Low Power Circuits and

Systems

PET-CSD06

Data Analytics

PET-CSA06 Computer Graphics

PET-CSO06 Indian Music System

PET-CST07

Queuing Theory and

Modelling

PET-CSS07

Fault Tolerant Computing

PET-CSD07

Information Retrieval

PET-CSA07 VLSI System Design

PET-CSO07 History of Science

PET-CST08

Computational

Number Theory

PET-CSS08

Real Time System

PET-CSD08

Neural Networks and

Deep Learning

PET-CSA08 Optimization Techniques

PET-CSO08 Introduction to Art and Aesthetics

PET-CST09

Quantum Computing

PET-CSS09

Ad-Hoc and Sensor

Network

PET-CSD09

Multi-agent Intelligent

System

PET-CSA09 Web and Internet Technology

PET-CSO09 Economic Policies in India

PET-CST10

Information Theory

and Coding

PET-CSS10

Signals and Networks

PET-CSD10

Data Analytics

PET-CSA10 Cryptography and Network Security

PET-CSS11

Internet-of-Things

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PROFESSIONAL COURSES -ELECTIVE-I Code Title

BTCS501PET Theory of Computation BTCS502PET Graph theory BTCS503PET Advanced Algorithms BTCS504PET Parallel and Distributed Algorithms BTCS505PET Computational Complexity BTCS506PET Computational Geometry BTCS507PET Queuing Theory and Modelling

Computational Number Theory Quantum Computing Information Theory and Coding

PROFESSIONAL COURSES -ELECTIVE-II

Code Title BTCS601PET BTCS602PET

PROFESSIONAL COURSES -ELECTIVE-III

Code Title BTCS611PET

PROFESSIONAL COURSES -ELECTIVE-IV

Code Title BTCS701PET

PROFESSIONAL COURSES -ELECTIVE-V

Code Title BTCS711PET

PROFESSIONAL COURSES -ELECTIVE-VI

Code Title BTCS801PET

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PROFESSIONAL COURSES -ELECTIVE-VII Code Title

BTCS811PET

PROFESSIONAL COURSES -ELECTIVE-VIII

Code Title BTCS821PET

OPEN ELECTIVE

Code Title


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