Ramrao Adik Institute of Technology, Nerul, Navi Mumbai › mumbai › rait › wp-content ›...

Ramrao Adik Institute of Technology,

Nerul, Navi Mumbai

Program Structure for B.Tech. Instrumentation Engineering

[Specialization in Internet of Things (IoT)]

Semester III

Course

Code

Course Name

Teaching Scheme

(Contact Hours) Credits Assigned

Theory Pract. Tut. Theory Pract. Tut. Total

INC301 Engineering Mathematics-III 4 - 1 4 - 1 5

INC302 Transducers-I 3 2 - 3 1 - 4

INC303 Electronic Devices and

Circuits 3 2 -

3 1 - 4

INC304 Electrical Network &

Measurements 3 - 1

3 - 1 4

INC305 Digital Electronics 3 2 - 3 1 - 4

INAC301 Audit Course-I 1 - - - - - -

Total 16 6 2 16 3 2 21

Course

Code

Course Name

Evaluation Scheme

Theory Exam

Duratio

n

(inHrs)

Term

Work

Pract. Oral

Total Internal Assessment Mid

Sem.

Exam

End

Sem

Exam

Test1

Test2

Avg.

INC301 Engineering Mathematics-III 20 20 20 20 60 2 25 -

- 125

INC302 Transducers-I 20 20 20 20 60 2 25 25 - 150

INC303 Electronic Devices and

Circuits 20 20 20 20 60 2 25 25 - 150

INC304 Electrical Network &

Measurements 20 20 20 20 60 2 25 - - 125

INC305 Digital Electronics 20 20 20 20 60 2 25 25 - 150

INAC301 Audit Course-I - - - - - - - - - -

Total Marks 700


Nerul, Navi Mumbai _____________________________________________________________________________________________________________

Semester IV

Course

Code

Course Name

Teaching Scheme

(Contact Hours)

Credits Assigned


INC401 Engineering Mathematics-IV 4 - 1 4 - 1 5

INC402 Transducers-II 3 2 - 3 1 - 4

INC403 Signal Conditioning and

System Design 3 2 - 3 1 - 4

INC404 Embedded System 3 2 - 3 1 - 4

INC405 Feedback Control System 3 2

- 3 1 - 4

INL401 Python Programming Lab

- 4*

- - 2 - 2

Total

16 12 1 16 6 1 23

Course

Code

Course Name

Evaluation Scheme

Theory

Exam

Duration(

inHrs.)

Term

Work

Pract. Oral Total Internal Assessment Mid

Sem.

Exam

End

Sem

Exam

Test1

Test2

Avg.

INC401 Engineering Mathematics-IV 20 20 20 20 60 2 25 -

- 125

INC402 Transducers-II

20 20 20 20 60 2 25 25 - 150

INC403 Signal Conditioning and

System Design 20 20 20 20 60 2 25 25 - 150

INC404 Embedded System 20 20 20 20 60 2 25 25 - 150

INC405 Feedback Control System 20 20 20 20 60 2 25 - 25 150

INL401 Python Programming Lab - - - - - - 50 25 - 75

Total

800

*2 Hours Lectures and 2 Hours Lab



Semester V

Course

Code Course Name

Teaching Scheme



INC501 Digital Signal

Processing 3 2 -

3 1 - 4

INC502 Wireless Sensor

Networks 3 2 -

3 1 - 4

INC503 Process Instrumentation

System 3 2 -

3 1 - 4

INC504 Data Structures and

Algorithms 3 2 -

3 1 - 4

INC505 Professional

Communication and

Ethics

- 4* - - 2 - 2

INC506 Introduction to Internet

of Things 3 2 - 3

1 - 4

Total 15 14 -

15 7 - 22

Course

Code

Course Name

Evaluation Scheme

Theory

Exam

Duration

(in Hrs.)

Term

Work

Pract Oral Total Internal Assessment Mid

Sem.

Exam

End

Sem

Exam Test1 Test2 Avg.

INC501 Digital Signal

Processing 20 20 20 20 60 2 25 25

- 150

INC502 Wireless Sensor

Networks 20 20 20 20 60 2 25 -

25 150

INC503 Process Instrumentation

System 20 20 20 20 60 2 25 25 150

INC504 Data Structures and

Algorithms 20 20 20 20 60 2 25 25 - 150

INC505 Professional

Communication and

Ethics

- - - - - - 25 - 25 50

INC506 Introduction to Internet

of Things 20 20 20 20 60 2 25 - 25 150

Total 800



Semester VI

Cours

Code Course Name

Teaching Scheme


Theory Pract. Tut. Theory Pract. Tut. Total INC601 Industrial Process

Control 3 2 -

3 1 - 4

INC602 Instrument System

Design 3 2 -

3 1 - 4

INC603 IoT Networks and

Smart Sensors 3 2 -

3 1 - 4

INC604 Artificial Intelligence 3 2 -

3 1 - 4

INILO601

X Institute-level Open

Elective-I 3 - -

3 - - 3

INMP601 Mini Project-I - 4 - -

2 - 2

Total 15 12 -

15 6 - 21

Course

Code

Course Name

Evaluation Scheme

Theory

Exam

Duration

(inHrs.)

Term

Work

Pract Oral

Total

Internal

Assessment Mid

Sem

.Exam

End

Sem


INC601 Industrial Process

Control 20 20 20 20 60 2 25 -

25 150

INC602 Instrument System

Design 20 20 20 20 60 2 25 -

25 150

INC603 IoT Networks and

Smart Sensors 20 20 20 20 60 2 25 25 - 150

INC604 Artificial Intelligence 20 20 20 20 60 2 25 25 - 150

INILO601

X Institute-level Open

Elective-I 20 20 20 20 60 2 - - - 100

INMP601 Mini Project-I - - - - - - 50 - 50 100

Total 800



Semester VII

Course

Code Course Name

Teaching Scheme



INC701 Industrial Automation 3 2 - 3 1 - 4

INC702 Instrumentation Project

Documentation and

Execution

3 2 - 3 1 - 4

INC703 Industrial IoT

Applications 3 2 -

3 1 - 4

INC704 Machine Learning 3 2 - 3 1 - 4

INILO701

X

Institute-level Open

Elective-II 3 - - 3

- - 3

INMP701 Mini Project-II - 4 - - 2 - 2

INAC701 Audit Course-II 1 - - -

- - 0

Total 16 12 -

15 6 - 21

Course

Code

Course Name

Evaluation Scheme

Theory

Exam

Duration

(in Hrs.)

Term

Work

Pract Oral Total Internal Assessment

Mid

Sem

.Exam

End

Sem


INC701 Industrial Automation 20 20 20 20 60 2

25 25 - 150

INC702 Instrumentation Project

Documentation and

Execution 20 20 20 20 60 2 25 -

25 150

INC703 Industrial IoT

Applications 20 20 20 20 60 2 25 - 25 150

INC704 Machine Learning 20 20 20 20 60 2 25 - 25 150

INILO701

X

Institute-level Open

Elective-II 20 20 20 20 60 2 - - - 100

INMP701 Mini Project-II - - - - - - 50 - 50 100

INAC701 Audit Course-II - - - - - - - - - -

Total 800



Semester VIII

Course

Code

Course Name

Teaching Scheme

(Contact Hours)

Credits Assigned

Theory Pract. Tut. Theory Pract

.

Tut. Total

INP801 Major Project/Internship - 30 - - 15 - 15

Total

- 30 - - 15 - 15

Course

Code

Course Name

Evaluation Scheme

Mid Sem End Sem

Total

Term Work

Avg.

Term Work Oral

INP801 Major Project/Internship 50 100 100 250

Institute-Level Open Elective Courses

Course Code Institute-level Open Elective-I

(Semester VI)

Course Code Institute-level Open Elective-II

(Semester VII)

ILO6011 Project Management ILO7011 Intellectual Property Rights

ILO6012 Cyber and Data Laws ILO7012 Entrepreneurship and

Business Management



Semester III Subject Code INC301

Subject Name Engineering Mathematics-III

Prerequisite Knowledge of Matrix algebra, Differentiation, Integration, Probability, and Series

expansion.

Description

This subject builds the strong foundation in mathematics of students needed for the field of

Instrumentation Engineering. To provide students with mathematics fundamentals necessary

to formulate, solve and analyses complex engineering problems. Topics includes basic

knowledge of Laplace Transform, Obtain the time response of systems using inverse laplace

transform, Find the fourier series, complex form of fourier series, fourier integral and fourier

transform of the functions.

Subject Code INC302

Subject Name Transducers-I

Prerequisite Knowledge of basic measurement.

Description

This subject explains the measurement systems, errors of measurement.It provides an

understanding of the operation of sensors and transducers. To familiarize the student with

the Identification, classification, construction, working principle and application of various

transducers used for Displacement, level, temperature measurement.

Subject Code INC303

Subject Name Electronic Devices and Circuits

Prerequisite Knowledge of semiconductor theory.

Description

This subject familiarizes the student with basic electronic devices and circuits.It provides

understanding of operation of diodes, bipolar and MOS transistors, DC biasing circuits,

Transistors as switching device, Power circuits and systems. It introduce the students the

basic properties of OpAmp, analysis and design of electronic circuits using OpAmp.

Subject Code INC304

Subject Name Electrical Network & Measurements

Prerequisite Knowledge of DC and AC circuit analysis, Three-phase circuit and transformer.

Description

This course will enable to describe, apply and analyze basic network concepts emphasizing

series and parallel combination of passive components, source transformation and shifting,

use of mesh and nodal techniques for formulating the transfer function of networks. To

analyze various network theorems in solving the problems related to Electrical Circuits.



Subject Code INC305

Subject Name Digital Electronics

Prerequisite Knowledge of number systems and boolean logic

Description

This subject provides an understanding of the principles of digital electronics, use of

number systems and basic logic families with their applications. It describes knowledge

about combinational circuits, working and design methods of sequential circuits. To

familiarize with the basics of asynchronous sequential circuits.

Subject Code INAC301

Subject Name Constitution of India

Description

This course introduces students to the Constitution of India. It begins by providing an

overview of the history of the making of Indian Constitution. It then discusses the preamble

and the basic structures of the Constitution. The fundamental rights, duties and the directive

principles of state policy will be discussed thoroughly, followed by a discussion of the

legislature, the executive and the judiciary. Some of the important sections of the

Constitution that have influenced the history of India since independence will also be taken

up for study.



Semester IV

Subject Code INC401

Subject Name Engineering Mathematics-IV

Prerequisite Basics of Complex numbers, Matrices, Basics of Probability.

Description

This course helps to develop analytical insight of the student to prepare them for graduate‘s

studies in Instrumentation Engineering. To enhance their ability to solve and analyse

engineering problems for vector spaces. To provide students with a strong mathematical

foundation to acquire the professional competence knowledge and skills.

Subject Code INC402

Subject Name Transducers-II

Prerequisite Knowledge of basic measurement techniques

Description

This course makes students understand the construction, working principle

and application of various transducers used for flow measurement, strain measurement,

pressure and vacuum measurement, force, torque and power measurement. It provides

knowledge of various electro-chemical sensors and transducers used for density and

viscosity measurement

Subject Code INC403

Subject Name Signal Conditioning and System Design

Prerequisite Knowledge of various sensors and basic electronics.

Description

This course provides knowledge and makes it capable to apply knowledge to design various

transducer signal conditioning circuits. This course imparts knowledge of design

considerations of analog and digital signal conditioning of components. To give the students

knowledge about the adjustable power supply design

Subject Code INC404

Subject Name Embedded System

Prerequisite Knowledge of Digital Electronics, Programming skills.

Description

This course gives overview of embedded systems and make aware of design

challenges and technology. It also imparts knowledge of fundamentals of MCS-51

microcontroller family and working of the system. This course comprises various

programming tools and development of software using assembly and higher level language.

To give knowledge of interfacing of MCS-51 with different peripheral devices such as LCD,

keyboard, Memory, ADC, DAC etc.



Subject Code INC405

Subject Name Feedback Control System

Prerequisite Knowledge of Laplace and Inverse Laplace Transform.

Description

This course focuses on the type of system, dynamics of physical systems, classification of

control system, analysis and design objective. The course also highlights on how to

represent the system by transfer function and block diagram reduction method and Mason‘s

gain formula.

Subject Code INL401

Subject Name Python Programming Lab

Prerequisite Knowledge of basic data science algorithms

Description

This course is an introduction to programming and problem solving in Python. Using some

motivating examples, the course quickly builds up basic concepts such as conditionals,

loops, functions, lists, strings and tuples. It goes on to cover searching and sorting

algorithms, dynamic programming and backtracking, as well as topics such as exception

handling and using files. The course covers Python dictionaries as well as classes and

objects for defining user defined datatypes such as linked lists and binary search trees.



Semester V

Subject Code INC501

Subject Name Digital Signal Processing

Prerequisite Fundamentals of Engineering Mathematics and Signals and Systems

Description

This course will make students familiarize with Fourier transform algorithms and

convolution of DT sequences. design IIR digital filter and realization of its structures using

different forms.They will be able to design IIR digital filter and realization of its structures

using different forms.

Subject Code INC502

Subject Name Wireless Sensor Network

Prerequisite Knowledge of networking course.

Description

This course will introduce the state of the art in wireless sensor networks. Lectures will be

accompanied by a significant amount of reading from recent literature. Each lecture itself

will present one realization of a sensor network concept, which will be followed by a

broader class discussion on the topic based on its reading list. In several cases, lectures will

emphasize aspects of fault-tolerance, reliability, and security. Case studies from existing

applications will be used.

Subject Code INC503

Subject Name Process Instrumentation System

Prerequisite Measurement of physical parameters, sensors/transducers and basic control system

Description

This course will make the students familiar with different Process Dynamics, characteristics

and process control actions. Students will learn classification working of Controllers &

Tuning Methods. Students are expected to implement different types of control schemes.

Subject Code INC504

Subject Name Data Structures and Algorithms

Prerequisite knowledge of digital systems and basic c programming

Description

Students will learn the concept of ADT and performance analysis, space and time growth

complexity function. They will learn operations on stack and que. Graph terminologies and

graph traversal techniques. analysis of binary search. greedy design strategies.



Subject Code INC505

Subject Name Professional Communication and Ethics

Prerequisite basic english language and grammar

Description

This course aim to inculcate professional and ethical attitude at the workplace also enhance

effective communication and interpersonal skills

students will be able to build multidisciplinary approach towards all life tasks. To hone

analytical and logical skills for problem-solving

Subject Code INC506

Subject Name Introduction to Internet of Things

Prerequisite Basic programming knowledge

Description

Internet of Things (IoT) is presently a hot technology worldwide. Government, academia,

and industry are involved in different aspects of research, implementation, and business with

IoT. IoT cuts across different application domain verticals ranging from civilian to defence

sectors. These domains include agriculture, space, healthcare, manufacturing, construction,

water, and mining, which are presently transitioning their legacy infrastructure to support

IoT. IoT-based applications such as innovative shopping system, infrastructure management

in both urban and rural areas, remote health monitoring and emergency notification systems,

and transportation systems, are gradually relying on IoT based systems. Therefore, it is very

important to learn the fundamentals of this emerging technology.



Semester VI

Subject Code INC601

Subject Name Industrial Process Control

Prerequisite Sensors, fundamentals of process instrumentation and control, control schemes, basics of

unit operations.

Description

This course covers the dynamics and working of different industrial unit operations. Also

the course represents a tremendous opportunity to gain expertise in all the key areas of

instrumentation in chemical process industries with the involvement of fast growing

industrial automation. This course provides good foundation, skills and sound knowledge of

key components in instrumentation process industries.

Subject Code INC602

Subject Name Instrument System Design

Prerequisite Knowledge of sensors, control valves, PLC and DCS.

Description

This course addresses the need for selection and design considerations of transducers along

with its calibration techniques. The course covers the basic fundamentals of the instrument

system and its application in designing electronic product, control room layout. The course

makes the students familiarize with the concept of reliability engineering.

Subject Code INC603

Subject Name IOT Networks and Smart Sensors

Prerequisite Knowledge of programming and electronic circuits to integrate the physical environment to

cloud.

Description

The course introduces the use of connected sensors for IOT and reporting the data to cloud.

The course also addresses the core concept of IoT such as sensing, processing and reporting

the data to the cloud. The course provides the knowledge of technology like fabrication,

integration, built in intelligence and utilization of these in the concept of smart sensor.

Subject Code INC604

Subject Name Artificial Intelligence

Prerequisite Knowledge of Various level of math, statistics, algebra, calculus, logic and algorithms,

Bayesian networking or graphical modeling, Computer science.

Description

This course provides the knowledge to design intelligent solutions to problems in a variety

of domains and business applications and fields such as natural language processing, text

mining, robotics, reasoning and problem-solving. This course discusses AI methods based in

different fields, including neural networks, signal processing, control, and data mining, in

order to present a unified treatment of machine learning problems and solutions.



Subject Code INMP601

Subject Name Mini Project-I

Prerequisite Knowledge of signal conditioning, system design and programming tools.

Description

The students will undergo project assignment in which they are expected to complete major

project work. The following points will be assessed scope and objective of the project work,

extensive literature survey, progress of the work, design, implementation, and analysis of the

project work, results, conclusions and future scope.



Semester VII

Subject Code INC701

Subject Name Industrial Automation

Prerequisite Process Control, Control System Components

Description

This course provides an overall exposure to the technology of Industrial Automation and

Control as widely seen in factories of all types both for discrete and continuous

manufacturing. The course discusses a wide range of related topics from the advantage and

architecture of automation systems, measurement systems including sensors and signal

conditioning, discrete and continuous variable control systems, electric actuators, industrial

communication. Hardware/Software Tools used for this course : PLC, DCS, SCADA

Subject Code INC702

Subject Name Instrumentation Project Documentation & Execution

Prerequisite Process Instrumentation, Unit Operations

Description

This course provides knowledge of Instrumentation Project & Detailed Engineering

techniques in the EPC Consultancy. Also gives exposure to students for executing Project

Deliverables and Engineering activities of Project Documentation. Software Tools used for

this course : INtools, Primavera, MS Project.

Subject Code INC703

Subject Name Industrial IoT Applications

Prerequisite Basics of IoT, Sensors and Actuators, Communication protocols.

Description

Industrial Internet of Things (IIoT) is an ever growing and rapidly increasing sector that

accounts for most of the share of IoT spending in the global market. Industrialists &

manufactures in almost every sector have a tremendous opportunity to not only monitor. But

also automate many complex processes involved in manufacturing. For a long time

industries and plants have had sensors and systems to track progress but IoT takes a step

further and provides intricacies to even the minute problems.



Subject Code INDLO704

Subject Name Machine Learning

Prerequisite Linear algebra: Simple linear algebra.

Description

This course provides a broad introduction to machine learning, datamining, and statistical pattern

recognition. Following topics will be focused on supervised learning, Unsupervised learning, best

practices in machine learning that includes bias/variance theory; innovation process in machine

learning and AI. The course will also draw from numerous case studies and applications, so that you'll

also learn how to apply learning algorithms to building smart robots (perception, control), text

understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining,

and other areas.

Subject Code INMP701

Subject Name Mini Project-II

Prerequisite Knowledge of signal conditioning, system design and programming tools.

Description

The students will undergo project assignment in which they are expected to complete major project

work. The following points will be assessed scope and objective of the project work, extensive

literature survey, progress of the work, design, implementation, and analysis of the project work,

results, conclusions and future scope.

Subject Code INAC701

Subject Name Environmental Studies

Description

Environmental Science is the study of interrelationships between human activities and the

environment. Environmental Science is an unusual academic discipline in that it requires scientific

knowledge about the natural world, as well as an understanding about ways in which humans interact

with the natural world.



Semester VIII Subject Code INP801

Subject Name Major Project/Internship

Prerequisite Knowledge of signal conditioning, system design and analysis and programming tools.

Description

The students will undergo project assignment in which they are expected to complete major project

work. The following points will be assessed scope and objective of the project work, extensive

literature survey, progress of the work, design, implementation, and analysis of the project work,

results, conclusions and future scope.

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