Netaji Subhas University of Technology: Under Delhi Act 06 of 2018, Govt. of NCT of Delhi

NETAJI SUBHAS UNIVERSITY OF TECHNOLOGY
A STATE UNIVERSITY
UNDER DELHI ACT 06 OF 2018, GOVT. OF NCT OF DELHI

Azad Hind Fauj Marg, Sector-3, Dwarka, New Delhi-110078
SCHEME OF COURSES AND EXAMINATION
FOR
BACHELOR OF TECHNOLOGY
INSTRUMENTATION & CONTROL ENGINEERING

(PART-A: DISCIPLINE SPECIFIC COURSES)
(Effective from the Session: 2019-2020)
APPROVED BY
The Senate in its II to XIII meetings
The Board of Management in its meeting held on ----- 20--
1 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

Contents
1 INTRODUCTION ................................................................................................................ 3
2 CURRICULUM STRUCTURE .............................................................................................. 3
2.1 EVALUATION AND ASSESSMENT ............................................................................... 4
2.2 SEMESTER WISE COURSE/CREDIT DISTRIBUTION ................................................. 5
2.3 COURSE CODE NOMENCLATURE .............................................................................. 6
2.3.1 COURSE/DEPARTMENT/SPECIALIZATION/BRANCH CODING ........................... 6
2.3.2 B.TECH COURSE CODE NOMENCLATURE ......................................................... 7
OTHER CORE AND ELECTIVE COURSES ................................................................... 7
2.3.3 MOOC (NPTEL BASED) FOUNDATION ELECTIVE COURSES AND OPEN
ELECTIVE COURSES: .................................................................................................... 7
2.3.4 STUDENT ROLL NUMBER NOMENCLATURE: ....................................................... 8
3 SEMESTER WISE SCHEME OF COURSES ....................................................................... 8
3.1 SCHEME OF COURSES FOR SEMESTER I ................................................................. 8
3.2 SCHEME OF COURSES FOR SEMESTER II ................................................................ 9
3.3 SCHEME OF COURSES FOR SEMESTER III ............................................................... 9
3.4 SCHEME OF COURSES FOR SEMESTER IV ............................................................. 10
3.5 SCHEME OF COURSES FOR SEMESTER V .............................................................. 11
3.6 SCHEME OF COURSES FOR SEMESTER VI ............................................................. 12
3.7 SCHEME OF COURSES FOR SEMESTER VII/VIII .................................................... 13
4. SYLLABI OF COURSES .................................................................................................. 15
4.1 SYLLABI OF FOUNDATION COMPULSORY COURSES .............................................. 15
4.2 FOUNDATION ELECTIVE & OPEN ELECTIVE COURSES .......................................... 20
4.3 PROGRAM CORE COURSES ..................................................................................... 20
4.3.1 LIST OF PROGRAM CORE COURSES ............................................................... 20
4.3.2 SYLLABI OF PROGRAM CORE COURSES : II SEMESTER .............................. 22
4.3.4 SYLLABI OF PROGRAM CORE COURSES : IV SEMESTER ............................... 29
4.3.5 SYLLABI OF PROGRAM CORE COURSES : V SEMESTER ............................... 35
4.3.6 SYLLABI OF PROGRAM CORE COURSES : VI SEMESTER .............................. 39
4.3.7 SYLLABI OF PROGRAM CORE COURSES : VII & VIII SEMESTER.................. 41
4.4 DEPARTMENT ELECTIVE COURSES ........................................................................ 43
4.4.1 LIST OF DEPARTMENT ELECTIVES .................................................................... 43
4.4.2 SYLLABI OF DEPARTMENT ELECTIVES COURSES : V SEMESTER ............... 47
4.4.3 SYLLABI OF DEPARTMENT ELECTIVES COURSES : VI SEMESTER .............. 54

4.4.4 SYLLABI OF DEPARTMENT ELECTIVES COURSES : VII & VIII SEMESTERS 63
1 INTRODUCTION
NSUT has embarked on its journey towards excellence in academics through the introduction of a novel
system of learning that is being followed in many reputed universities globally. The Choice Based Credit
System (CBCS) has been proposed by University Grants Commission (UGC) on recommendations of the
National Knowledge Commission, to improve the quality of higher education in India. NSUT proposes to
adopt CBCS for its Bachelor of Technology courses
CBCS is the mother of student centric educational reforms. A student is provided with an academically
rich, highly flexible learning system blended with abundant provision for skill practice and activity
orientation that he/she could learn in depth without sacrificing his/her creativity. A student can exercise
the option to decide his/her own pace of learning- slow, normal or accelerated plan and sequence his/her
choice of paper, learn to face challenges through term work/ project work and may venture out to acquire
extra knowledge/ proficiency through add-on facilities. The great advantage of CBCS is that the learning
process is made continuous and the evaluation process is not only made continuous but also made
learner-centric and is designed to recognize the capability and talent of a student.
2 CURRICULUM STRUCTURE
B.Tech. programme of the University shall be based upon CBCS and shall have well defined Programme
Educational Objectives (PEOs). All the courses shall have well-defined Course Outcomes (COs). Courses
shall be of three kinds namely Core, Elective and Foundation.
a. Core Course (CC): This is a course which is to be compulsorily studied by a student as a core
requirement to complete the requirements of the B.Tech. programme.
b. Elective Course: This is a course which can be chosen from a pool of elective courses. It is intended to
support the discipline of study by providing an expanded scope, enabling exposure to another
discipline/domain and nurturing a student’s proficiency and skill. An elective may be of the following
types:
i. Discipline Centric Elective (ED): It is an elective course that adds proficiency to the students in the
discipline.
ii. Generic Elective (EG): It is an elective course taken from other engineering subjects and enhances
the generic proficiency and interdisciplinary perspective of students.
iii. Open Elective (EO): It is an elective course taken from a common pool of non-engineering
disciplines that broadens the perspective of an engineering student. These electives shall comprise
two groups: Open electives of the Humanities, Social Sciences and Management group and Open
electives of the Sciences group.
c. Foundation Course: A Foundation course leads to knowledge enhancement and provides value-based
training. Foundation courses may be of two kinds:
i. Compulsory Foundation (FC): It is based upon the content that leads to fundamental knowledge
enhancement in Sciences, Humanities, Social Sciences and Basic engineering. They are mandatory
for all disciplines.
ii. Elective Foundation (FE): It can be taken from among a common pool of foundation courses which
aim at value-based education. They may provide hands-on training to improve competencies, skills
or provide education on human, societal, environmental and national values. These shall be
mandatory, non-credit courses, which do not carry any credits but a student has to pass in order to
be eligible for award of degree.

2.1 EVALUATION AND ASSESSMENT
The performance of a student in a semester shall be evaluated through continuous class assessment, MSE
and ESE. Both the MSE and ESE shall be University examinations and will be conducted as notified by
the CoE of the University. The marks for continuous assessment (Sessional marks) shall be awarded at the
end of the semester. The continuous assessment shall be based on class tests, assignments/tutorials,
quizzes/viva-voce and attendance etc. The MSE/ESE shall comprise of written papers, practicals and viva-
voce, inspection of certified course work in classes and laboratories, project work, design reports or by
means of any combination of these methods.
The weightage of each of these modes of evaluation for the different types of courses shall be as per Table
1. Further, the mechanism for continuous assessment shall be as per Table 2.
Table-1: Evaluation Scheme
S. Type of Course Continuous Mid-Semester End-Semester Continuous End-Semester
No. Assessment Examination Examination Assessment Examination
(CA) (MSE) (ESE) (CA) (ES)
Theory Theory Theory Practical Practical
1 FE courses Continuous Assessment only (100 marks)
2 CC/FC/ED/EG/EO 25 25 50 Nil Nil

Theory with Tutorial
3 CC/FC/ED/ 15 15 40 15 15
EG/EO
Theory with
Practical
4 Project I and Project Nil Nil Nil 40 60
II
5 Training Nil Nil Nil 40 60
6 Work shop based 30 -- 20 30 20
Course
7 Audit Courses* - - - - -
*The distribution of marks of practical and/or theory components for Audit courses shall be determined by
the respective Departments.
Table 2: Continuous Assessment

S. No. Type of Course Continuous Assessment (CA)
1 CC/FC/ED/EG/EO Two class tests, Assignments, Teachers’ assessment (quizzes, viva-
Theory with Tutorial voce, attendance)
CC/FC/ED/EG/EO One class test, One Lab test, Assignments/Projects, Teachers’
Theory with Practical assessment
2 FE courses *** Two class tests, Assignments, Teachers’ assessment
3 Project I /II Mid-Semester Presentation, Report, Supervisor’s Assessment
4 Training As specified by the Department
5 Audit Courses As specified by the Department
*** Foundation Elective Courses are value-based courses which may enhance the proficiency /skill. These
electives could be communication skills, Spoken English, soft skills, Business and Management courses,

entrepreneurship development, Knowledge of an additional Foreign Language, Personality Development
through sports, music, theatre, dance, etc.
The University offers the students a pool of Foundation elective courses which may be offered by the
following departments of the University:
i) Department of Humanities
ii) Department of Management
iii) Department of Personality Development
Note for students:

i) An Undergraduate student should choose any three foundation elective courses to study from the
given list.
ii) He/She can take only one foundation elective course in an ongoing semester.
iii) The study and clearing of foundation elective course is to be done by the end of 2 nd year (fourth
semester).
iv) For getting a Degree, it is mandatory to clear the entire three chosen foundation elective course.
v) Foundation elective courses are non-cedit mandatory courses and there is no credits awarded to the
students.
Note for Course Teacher:

The evaluation of FE courses shall be done through continuous assessment only.
i) Subject having Theory only: The course teacher shall evaluate through TWO class tests (25
marks each), ONE Assignment/Project (40 marks) and internal evaluation [one such component is
attendance] (10 marks).
ii) Subject having Theory and Practical: Here, a course teacher evaluate for theory part through
TWO class test (20 marks each) and internal evaluation [one such component is attendance] (10
marks). Similarly, for practical part ONE practical test (40 marks) and internal evaluation [one such
component is attendance] (10 marks)
iii) Subject having Practical only : The course teacher takes TWO practical test (45 marks each)
and internal evaluation [one such component is attendance] (10 marks)
2.2 SEMESTER WISE COURSE/CREDIT DISTRIBUTION
Table 3: SEMESTER WISE COURSE/CREDIT DISTRIBUTION
Types of courses as per NSUT Nomenclature

Semester FE FC CC ED EG/ EO- Training Courses/credits Credits
(NON- Sciences Project
CREDIT) / EO-SS &Mgmt etc.
I 01 05 00 00 00 00 06 courses
20 credits
II 00 03 03 00 00 00 06 courses
24 credits 84
III 01 00 05 00 00 00 06 courses credits
20 credits
IV 01 00 05 00 00 00 06 courses
20 credits
V 00 00 04 # # 00 04 –07 courses
16-28 credits

VI 00 00 03 # # 00 03 –07 courses
16-28 credits 86
VII 00 00 00 # # 06 00 – 05 courses credits
06-26 credits
VIII 00 00 00 # # 08 00 – 05 courses
08-28 credits
TOTAL CREDITS 170
# ED : At least 4 courses (16 credits)

# EO- Sciences : At least 1 courses (04 credits)
# EO-HSS & Management : At least 2 courses (08 credits)
# Practical Training of 2 credits shall be undertaken during the summer vacations just after VI
semester, and shall add to the credit count of VII semester.
2.3 COURSE CODE NOMENCLATURE

The courses of various B.Tech programmes are assigned a course code.
2.3.1 COURSE/DEPARTMENT/SPECIALIZATION/BRANCH CODING

The courses of various B.Tech programmes are assigned course codes as per the following nomenclature.
This nomenclature shall use course/department/specialization/branch coding as defined below.
TABLE 4: TYPE OF COURSE/DEPARTMENT CODES
Course Category Code FC Foundation Core

XX FE Foundation Elective
EO Open Elective
YY AR Architecture
BT Biological Sciences and Engineering
CH Chemistry
CP Computer Engineering, East Campus
CS Computer Science & Engineering
CW Civil Engg, West Campus
FT Design
EE Electrical Engineering
Name of Department EC Electronics & Communication Engineering
Code EP Electronics & Communication Engineering, East Campus
HS Humanities
IC Instrumentation & Control Engineering
IT Information Technology
IW Information Technology, West Campus
ME Mechanical Engineering
MG Management
MP Manufacturing Process & Automation
MT Mathematics
MW Mechanical Engineering, West Campus
PD* Personality Development
PH Physics
Note : Second Alphabet P indicates East Campus, and W indicates West Campus.
*PD offers FE courses like music, dance, yoga, sports, NSS, etc.

TABLE 5: B.TECH SPECIALIZATION/BRANCH CODES
BT Bio Technology
CA Computer Science & Engineering with Artificial Intelligence
CB Computer Science and Engineering (Big Data Analytics), East Campus
CD Computer Science and Engineering (Data Science)
CE Civil Engineering, West Campus
CG Geo informatics, West Campus
CI Computer Science and Engineering (IOT), East Campus
CM Maths & Computing
CO Computer Science & Engineering
Electronics and Communication Engineering (Artificial Intelligence and Machine Learning)
EA
ZZ East Campus
EC Electronics & Communication Engineering
EI Electronics & Communication Engineering (Internet of Things)
EE Electrical Engineering
IC Instrumentation & Control Engineering
II Information Technology (Internet of Things) West Campus
IN Information Technology (Network security)
IT Information Technology
ME Mechanical Engineering
MP Manufacturing Process & Automation
MV Mechanical Engineering (Electric Vehicles) (MEEV), West Campus
2.3.2 B.TECH COURSE CODE NOMENCLATURE

FOUNDATION CORE AND ELECTIVE COURSES AND OPEN ELECTIVE COURSES:
Course Category Offering Department Code Course No.
X X Y Y 0 * *
** can take numeric values only
XX and YY maybe chosen as given in Tables 4 and 5 respectively.
OTHER CORE AND ELECTIVE COURSES:

Program Code Offering Department Code Course Category Course No.
Z Z Y Y C/E * *
** can take numeric values only;
C for Core and E for Elective (Discipline Centric);

YY and ZZ may be chosen as given in Tables 4 and 5 respectively
2.3.3 MOOC (NPTEL BASED) FOUNDATION ELECTIVE COURSES AND OPEN ELECTIVE
COURSES:
Course Category Offering Department (NPTEL) Code UG/PG Course No.
X X F F G * *
** can take numeric only;

XX Course Category Code FE Foundation Elective
EO Open Elective
NH Humanities & Social Sciences
FF NM Management
Name of Offering Department Code for NPTEL
NP Personality Development
NS Sciences
G UG/PG 0 B.Tech
1 M.Tech
2.3.4 STUDENT ROLL NUMBER NOMENCLATURE:

Students shall be assigned roll numbers as per the format given below.
Year of Admission U ZZ (FROM TABLE 5) 4 DIGIT NUMBER
3 SEMESTER WISE SCHEME OF COURSES

The Department of ICE offers Discipline Centric Elective courses in the following three specialization areas
of Instrumentation & Control Engineering.
1. Robotics and Artificial Intelligence

2. Biomedical Instrumentation
3. Intelligent Control
Students who earn credits from at least 4 elective courses from an area of specialization may be offered a
degree in “B.Tech (ICE), with a minor in Specialization-X”. Students can also be awarded the degree with a
minor in the area of other B.Tech programmes if he/she earns credits from at least 4 generic elective courses
from an area of specialization offered by the other Department.
3.1 SCHEME OF COURSES FOR SEMESTER I
B.Tech -SEMESTER I
Evaluation Scheme
Aicte
Course Cred Theory Practical Offerin
Type Course L T P Course
Code its g Dept.
CA MS ES CA ES Type
FCMT001 FC Mathematics-I 3 1 0 4 Maths BASIC

25 25 50 - - SCIENC
ES
Electronics ECE/ ENGG
FCEC003 FC and Electrical 3 0 2 4 15 15 40 15 15 ICE SCIENC
Engineering /EE ES
HSS HUSS
FCHS005 FC English 3 0 2 4 15 15 40 15 15
FCME006 Basics of MPAE/ ENGG
FC Mechanical 4 0 0 4 25 25 50 - - ME SCIENC
Engg. ES

Environment
FC Science and 3 0 2 4 CHEMI BASIC
FCCH008 Green 15 15 40 15 15 STRY SCIENC
Chemistry ES
FEXXxxx FE Elective - - - NIL - - - - - - MANDAT
2* Foundation ORY
COURSE
28 contact hours * 20
 The course codes, LTP distribution and Evaluation Scheme for Foundation Electives are given in Part B.
The actual weekly load depends upon the Foundation Elective Course.
Students of the Departments of Group I shall be offered courses as follows:
1. Semeter I : Computer Programming, Physics

2. Semeter II : English, Environment Science and Green Chemistry
Students of the Departments of Group II shall be offered courses as follows:
1. Semeter I : English, Environment Science and Green Chemistry

2. Semeter II : Computer Programming, Physics
3.2 SCHEME OF COURSES FOR SEMESTER II

B.Tech. SEMESTER II
Evaluation Scheme Aicte
Course Typ Theory Practical Offering
Course L T P Credits Course
No. e Dept.
CA MS ES CA ES Type
Computer ENGG
FCCS002 FC Programming 3 0 2 4 15 15 40 15 15 COE/IT SCIENCE
S
PHYSIC
FC Physics S BASIC
FCPH004 3 0 2 4 15 15 40 15 15 SCIENCE
S
FCMT007 FC Mathematics-II 3 1 0 4 25 25 50 - - MATHS BASIC
SCIENCE
S
ICICC01 CC Electrical 3 0 2 4 ICE
Measurements 15 15 40 15 15
Program
ICECC02 CC Electronics 3 0 2 4 ECE
Core/
Devices & 15 15 40 15 15
Engg
Circuits
Sciences
ICICC03 CC Signal & 3 1 0 4 25 25 50 - - ICE
Systems
24
24
*
*: The actual weekly load depends upon the Core Courses that are run for ICE.
3.3 SCHEME OF COURSES FOR SEMESTER III

B.Tech. SEMESTER III

Evaluation Scheme
AICTE
Cre (Percentage weights) Offering
Course No. Type Course L T P COURSE
dits Theory Practical Dept.
TYPE
CA MS ES CA ES
ICMTC04 CC Mathematics III 3 1 0 4 25 25 50 - - MATHS BASIC
SCIENCE
S
ICCSC05 CC Data Structures 3 0 2 4 15 15 40 15 15 COE/IT ENGG.
& Algorithms SCIENCE
S
ICICC06 CC Power 3 0 2 4 15 15 40 15 15 ICE PROGRA
Apparatus M CORE
ICICC07 CC Electronic 3 0 2 4 15 15 40 15 15 ICE PROGRA
Instrumentation M CORE
ICECC08 CC Digital Circuits 3 1 0 4 25 25 50 - - ECE ENGG.
and Systems SCIENCE
S
FE*** FE Elective - - - NIL - - - - - - MANDAT
02 Foundation ORY
* COURSE
20* 20
 The course codes, LTP distribution and Evaluation Scheme for Foundation Electives are given in Part B.
3.4 SCHEME OF COURSES FOR SEMESTER IV

B.Tech. SEMESTER IV
Evaluation Scheme Offeri AICTE
Course Typ Cred
Course L T P Theory Practical ng Course
No. e its
CA MS ES CA ES Dept. Type
ICCSC09 CC Database 3 0 2 4 15 15 40 15 15 COE/ ENGG.
Management IT SCIENCE
System S
ICICC10 CC Engineering 2 0 4 4 30 - 20 30 20 ICE PROGRA
Analysis & M CORE
Design
ICICC11 CC Control 3 0 2 4 15 15 40 15 15 ICE PROGRA
Systems- I M CORE
ICICC12 CC Microprocessor 3 0 2 4 15 15 40 15 15 ICE PROGRA
Based System M CORE
Design
ICICC13 CC Sensors and 3 0 2 4 15 15 40 15 15 ICE PROGRA
Transducers M CORE
FE***03 FE Elective - - - NIL - - - - - - MANDAT
* Foundation ORY
COURSE
20# 20
#: The course codes, LTP distribution and Evaluation Scheme for Foundation Electives are given in Part B.

3.5 SCHEME OF COURSES FOR SEMESTER V
B.Tech SEMESTER V
Course No. Type Course L T P Credits Evaluation Scheme Offerin

g Dept.
Theory Practical
CA MS ES CA ES
ICICC14 CC Modern Control Theory 3 0 2 4 15 15 40 15 15 ICE
ICICC15 CC Process Dynamics and 3 0 2 4 15 15 40 15 15 ICE

Control
ICECC16 CC Communication and 3 0 2 4 15 15 40 15 15 ECE

Optical Instrumentation
ICICC17 CC Robotics 3 0 2 4 15 15 40 15 15 ICE
1* EG/ Elective(s) 2* 3*
ED/
EO
1*: The LTP allocation, Evaluation Scheme and Pre-requisites for Electives are given in Table below. The course
code will depend upon the elective(s) chosen by the student.
2*: The actual weekly load will depend upon the elective(s) chosen by the student.
3*: A student may register for courses leading to a minimum of 16 credits and a maximum of 28 credits.
Normally, a student registers for courses leading to 24 credits.
• Students opting for these courses as EG may refer to section 4.3 for information regarding Pre Reqisites and
Equivalent Courses
• Aicte Course Type : Program Core
The discipline centric elective courses of V semester have been grouped into three minor areas as given in the
table below. These are
1. Robotics and Artificial Intelligence

2. Biomedical Instrumentation
3. Intelligent Control
B.Tech. SEMESTER V (Discipline Centric Elective Courses)
Course Course L T P Credits Evaluation Scheme Offering

Code Dept.
Theory Practical
CA MS ES CA ES
MINOR-1: (Robotics and Artificial Intelligence)
3 1 0 4 ICE
25 25 50 - -
ICICE01 Smart Sensors
ICICE02 Industrial Control Systems 3 1 0 4 25 25 50 - - ICE
MINOR-2: (Biomedical Instrumentation)

Data Acquisition and Hardware 3 0 2 4 15 15 40 15 15 ICE
ICICE03 Interfaces for Bio-Signals
Measurement
ICICE04 Biomedical Instrumentation 3 0 2 4 15 15 40 15 15 ICE
ICICE05 Biomechanics 3 1 0 4 25 25 50 - - ICE
MINOR-3: (Intelligent Control)
3 1 0 4 ICE
25 25 50 - -
ICICE06 Nonlinear Systems and Control
ICICE07 Discrete Time Systems 3 0 2 4 15 15 40 15 15 ICE
ICICE08 Large Scale Systems 3 1 0 4 25 25 50 - - ICE
• Students of other Department who opt for these courses as EG may refer to section 4.4 for information
regarding Pre Reqisites and Equivalent Courses.
• AICTE Course Type: Program Electives
3.6 SCHEME OF COURSES FOR SEMESTER VI

B.Tech SEMESTER VI
Evaluation Scheme
Offering
Course Code Type Course L T P Credits Theory Practical Dept.
CA MS ES CA ES
Power Electronics &
CC 3 0 2 4 15 15 40 15 15 ICE
ICICC18 Drives
Industrial 3 1 0 4 ICE
ICICC19 CC 25 25 50 - -
Instrumentation
Digital Signal 3 1 0 4 ICE
ICICC20 CC 25 25 50 - -
Processing
DISCIPLINE CENTRIC ELECTIVE COURSES
MINOR-1: Robotics and Artificial Intelligence

ICICE20 ED Control and Navigation ICE
3 1 0 4 25 25 50 NA NA
in Robotics
ICICE21 ED Drives for Robotic ICE
3 1 0 4 25 25 50 NA NA
systems
MINOR -2: Biomedical Instrumentation
ICICE22 ED Modelling Simulation
and Control of 3 0 2 4 15 15 40 15 15 ICE
Physiological Systems
ICICE23 ED SENSORY AND ICE
MOTOR 3 1 0 4 25 25 50 NA NA
REHABILITATION
ICICE24 ED Biomedical Signal ICE
3 0 2 4 15 15 40 15 15
Processing
ICICE25 ED Advanced Sensing 3 1 0 4 25 25 50 NA NA ICE

Techniques
MINOR -3: (Intelligent Control)
ICICE26 ED MODELING AND ICE
SIMULATION OF 3 0 2 4 15 15 40 15 15
DYNAMIC SYSTEMS
ICICE27 ED INTELLIGENT ICE
3 0 2 4 15 15 40 15 15
CONTROL
ICICE28 ED Optimization ICE
3 0 2 4 15 15 40 15 15
Algorithms
ICICE29 ED Advanced Process ICE
3 0 2 4 15 15 40 15 15
Control
• Students of other Department who opt for these courses as EG may refer to sections 4.3 & 4.4 for
information regarding Pre Reqisites and Equivalent Courses
• Aicte Course Type: Program Core & Program Electives
3.7 SCHEME OF COURSES FOR SEMESTER VII/VIII

B. Tech (ICE) - Semester - VII/VIII
Evaluation Scheme
Offering
Course Code Type Course L T P Credits Theory Practrical
Dept.
CA MS ES CA ES
B. Tech (ICE) - Semester - VII
ICICC21 CC Training * 00 4 2 - - - 40 60 ICE
ICICC22 CC Project-I 00 8 4 - - - 40 60 ICE
B. Tech (ICE) - Semester - VIII
ICICC23 CC Project-II 0 0 16 8 - - - 40 60 ICE
* Training has to be undertaken during the Summer Vacations just after VI semester
DISCIPLINE CENTRIC ELECTIVE COURSES

ICICE50 ED Intelligent Autonomous systems 30 2 4 15 15 40 15 15 ICE
ICICE51 ED Robot Analysis and Control 31 0 4 25 25 50 - - ICE
ED Machine learning ICE
ICICE52 31 0 4 25 25 50 - -
Applications in Robotics
ICICE53 ED Robotics Vision 31 0 4 25 25 50 - - ICE
MINOR -2: (Biomedical Instrumentation)
ED Optical Fibre and Laser in ICE
ICICE54 31 0 4 25 25 50 - -
Medicine
ICICE55 ED Biomedical Imaging 31 0 4 25 25 50 - - ICE
ED Machine Learning for
ICICE56 30 2 4 15 15 40 15 15 ICE
Healthcare
ED Biometric Technology and ICE
ICICE57 31 0 4 25 25 50 - -
Security Systems
ICICE58 ED BioMEMS and Lab-on-Chip 31 0 4 25 25 50 - - ICE
ICICE59 ED Brain Computer Interfacing 30 2 4 15 15 40 15 15 ICE
ICICE60 ED Medical Image Analysis 30 2 4 15 15 40 15 15 ICE

ED Multivariable Control Theory ICE
ICICE61 30 2 4 15 15 40 15 15
and Applications
ED Adaptive Learning and ICE
ICICE62 31 0 4 25 25 50 - -
Control
ED Classical Optimization ICE
ICICE63 31 0 4 25 25 50 - -
Techniques
ICICE64 ED Robust Control 30 2 4 15 15 40 15 15 ICE
ICICE65 ED Model Predictive Control 30 2 4 15 15 40 15 15 ICE
ED Missile Guidance and ICE
ICICE66 31 0 4 25 25 50 - -
Control Systems
ED Machine Learning ICE
ICICE67 Applications in Control 31 0 4 25 25 50 - -
Systems
ICICE68 ED Mechatronics 30 2 4 15 15 40 15 15 ICE
• Students opting for these courses as EG may refer to sections 4.4 for information regarding Pre Reqisites
and Equivalent Courses
• Aicte Course Type: Program Core & Program Electives

4. SYLLABI OF COURSES
4.1 SYLLABI OF FOUNDATION COMPULSORY COURSES
Course No. Title of the Course Course Structure Pre-requisite

FCCS002 Computer 3L - 0T - 2P None
Programming
COURSE OUTCOMES:
CO 1 : To understand the basic terminology and program structures used in computer programming to
solve real worldproblems.
CO 2 : To understand the need for continuing to learn new languages to solve complex problems in
differentdomains.
CO 3 : To learn the process of representing problems and writing,compiling and debuggingprograms.
CO 4 : To develop programming skills in using different types of data, decision structures, loops functions,
pointers, data files and dynamic memoryallocation/de-allocation.
CO 5 : To be able to code using Procedural and Object-Oriented languages.
Unit No. TOPICS
Unit-I Basics of C: Basic features of C Language like Identifier, Keywords, Variable, data types, Operators
and Expression, basic screen and keyboard I/O, Control Statements, iteration, nested loops,
Enumerated data types, bitwise operators, C Preprocessor statements.
Unit-II Arrays and Pointers: One and multidimensional dimensional arrays, strings arrays, operations on
strings, Array and Pointers, Pointer to Pointer, other aspect of pointers, User Defined Data Types:
Structures, Unions.
Unit-III Functions: Concept of modular programming, Using functions, Scope of data, Recursive functions,
Pointers and functions, Command line arguments.
Files: Types of files, working with files, usage of file management functions.
Unit-IV Overview of Object Oriented Programming: Python Programming, Concepts and Terminology. Data
Types and Collection Data Types: Identifiers and keyword, Integral types floating point types,
operations and formatting, Sequence types, Tuples, named Tuples, lists, set Types, sets, frozen
sets, mapping types, Dictionaries, Iterating and Copying collections iterators and interactable
operations and functions copying collection.
Central Structures and Functions: Conditional branching, looping, Exception handling catching
and raising exceptions, custom exceptions custom functions, Names and Docstrings, Argument
and Parameter unpacking, Accessing variables in Global scope, lambda functions.
Modules and Packages: Packages, custom modules, overview of python’s standard library, string
Unit-V handling, mathematics and Numbers, Times and dates, File formats, Data persistence. File
Handling: Writing and Reading binary data, raw binary data, compression, parsing text files,
Random Access binary files, generic binary record file class.
SUGGESTED READINGS:
1. B. W. Kernighan and D.M. Ritchie, “The C programming language”, Prentice Hall.
2. Herbert Schildt and Tata McGraw Hill, “The Complete Reference”.
3. O Reilly Learning Python
4. Programming in Python 3: A Complete Introduction to the Python Language Pearson by Mark Summerfield
Course No. Title of the Course Credits Course Structure Pre-Requisite

FCEC003 Electronics And Electrical Engineering 4 3L-0T-2P None

Course Outcomes:
CO 1 : To understand the basics of AC and DC circuits, transformers along with DC generator and motor
CO 2 : To analyze series-parallel RLC circuits and
CO 3 : To implement basic circuits using diodes, BJTs and op-amps as circuit elements
CO 4 : To get familiarized with OP-AMP and its applications
CO 5 : To develop circuits using basic electrical and electronic components
Unit No. Topics
Unit-I Electric Circuits: Basic Circuit Elements, Nodal and Loop Analysis,
Superposition, Thevenin’s Theorem & Norton’s Theorem and Maximum Power Transfer Theorem;
Unit-II Steady-state analysis of AC circuits: Sinusoidal and phasor representation of Voltage and
current, single phase AC circuit, behavior of R, L and C. Combination of R, L and C in series and
parallel, Resonance; Introduction to three-phase circuits, Star-Delta Transformation
Unit-III Transformers: Principle of operation and construction of single-phase transformer, Introduction
to DC Motor.
Electronics Devices and Circuits: Junction Diode, Applications: rectifiers, clipping and clamping
circuits, LEDs;
Unit-IV Bipolar-junction Transistor: Physical operation, operating point, load-line, Self-bias circuit,
single-stage CE amplifier configuration.
Ideal op-amp, inverting, non-inverting and unity gain amplifiers, integrator, differentiator,
summer/subtractor.
Unit-V Digital circuits- Boolean Algebra, logic gates, K-Maps upto 4-variables, Combinational circuits:
Adders and subtractors.
Flip-Flops: SR, JK, D, T and their characteristic tables. Introduction to Sensors, Introduction to
Embedded Computers.
Suggested Reading:
1. M.E. Van Valkenburg, “Network Analysis” Pearson publishers, 3 rd Edition
2. Boylestad and Nashelsky, “Electronic Devices and Circuit Theory” Pearson publishers, 10 th Edition
3. Edward Hughes, “Electrical and Electronic technology”, Pearson publishers, 10 th Edition
4. Malvino and Leach, ” Digital Principles and Applications”, TMH publishers, 8 th Edition
Course No. Title of the Course Course Structure Pre-Requisite

FCPH004 Physics 3L-0T-2P None
COURSE OUTCOMESS :
CO 1 : Knowing important concepts and phenomena linked to relativity
CO 2 : The concept of waves and oscillations are useful for doing analytical and numerical calculations for
measurements, observations and gravitational wave communications.
CO 3 : The course is helpful to the students in understanding various optical wave phenomena which are
required for optical & electromagnetic wave communications and in opticaldevices.
CO 4 : To develop the basic understanding of laser for gaining advance knowledge in the field of optical
communication and opto-electronics.
CO 5 : The Concepts of Optical Fiber for modern developments in physics which are helpful in designing
and developing new devices used in optical communications,medicine, environment, Industries and
related physics.
Unit No. Topics

Unit-I Relativity: Special Relativity, Lorentz Transformations, Velocity addition, Time dilation, Length
Contraction, Variation of mass with velocity, Mass and energy, Relativistic momentum and
relativistic energy, General theory of relativity, Einstein’s theory of Gravitation, Gravitational
waves, Gravity and Light.
Unit-II Oscillations and Waves: Damped and forced oscillations, Sharpness of resonance, Q-factor,
Application in resonance, Acoustic waves, Pressure wave equations, Intensity pressure relation,
Acoustic impedance, Reflection and transmission of acoustic waves, Impedance matching;
Ultrasonics and its applications.
Unit-III Optics: Interference: Interference due to thin films, Newton’s rings, and determination of the
wavelength of sodium light, Interference due to wedge shaped film. Diffraction: Fraunhofer
diffraction due to single slit and N Slits, Plane transmission grating, Rayleigh criterion of
resolution, Resolving power of a grating, Polarization: Polarization in light, Birefringence, Nicol
prism, Quarter and half wave plates, Production and analysis of plane, Circularly and elliptically
polarized light, Optical rotation, specific rotation, Polarimeter
Unit-IV Lasers: Absorption and emission of radiation, Main features of a laser, Spatial and temporal
coherence, Einstein Coefficients, condition for light amplification, Basic requirement for Laser,
Population Inversion - Threshold Condition, Line shape function, Optical Resonators, Three level
and four level systems. Classification of Lasers: Solid State Laser-Ruby laser and Gas Laser- He-
Ne laser (Principle, Construction and working), Optical properties of semiconductor,
Semiconductor laser (Principle, Construction and working), Applications of lasers in the field of
medicine, Industry, Environment and Communication.
Unit-V Fibre Optics: Need for fiber Optic Communication, Physical nature of Optical fiber, Theory of
Light propagation in optical fiber, Acceptance angle and numerical aperture, Step index and
graded index fibers, Single mode and multimode fibers, Losses in optical fiber, Optical Fiber
cables and bundles, Dispersion in optical fibers: Intermodal and Intermodal dispersion
Suggested Readings:
1. Arthur Beiser, Shobhit Mahajan, `` Concepts of Modern Physics,’’ Mc-GrawHill
2. D S Mathur, ``Mechanics,’’ S Chand &co.
3. N. Subramaniam and Brij Lal, `À Text Book of Optics,’’ S Chand&Co.
4. A K Jha “A Text Book of Applied Physics, Volume-1” I.K. International Publishing House.
5. Indu Prakash, `À Text Book of Practical Physics, Volume-1,’’ Kitab MahalPublication.
6. Serwey, Moses, Moyer, ``Modern Physics,’’ CengageLearning
7. Jenkins and White, ``Fundamentals of Optics,’’ McGrawHill
8. Ajay Ghatak “Optics” McGrawHill
Course No. Title of the Course Course Structure Prerequisite
FCHS005 Core English 3L 0T 2P None

Course Outcomes
CO 1: Acquire competence in Basic English grammar. Grammatical accuracy, avoiding inappropriacy and
using language naturally and confidently
CO 2: Improve in the four integral skills of language and to be able to use language as a tool for effective
communication
CO 3: Enable the learner to express and be understood by others with clarity and precision, in both written
and spoken forms, minimizing ambiguity and verbosity.
CO 4: Understand creative use of language through translation, articles and paragraph writing.
CO 5: Reading: Encouraging the habit of reading for different purposes and to analyse, paraphrase and read
critically.
CO 6: Develop competence in formal Standard English pronunciation and usage
CO 7: Build confidence to use a standard spoken form of English to face jobinterviews, and workplace
interactive situations besides enabling the learner to pursue advancedprofessional courses.
Unit No. Topics
Unit-I Vocabulary Enhancement CO 1

Using a standard dictionary- word spellings, meanings, usage, pronunciation, making
sentences. Word collocations. Commonly misused words, verbal reasoning. One word
substitutions. Abbreviations & foreign phrases
Unit-II Remedial & Applied Grammar CO1 & CO 2

Tenses & Voice, Subject-Verb Agreement, Narration,Interrogative structures and Question
tags, Prepositions, Pronouns and Adverbs, Redundancy, Idiomatic use of language,
Identification of errors and editing
Unit-III 3 Techniques of Good Writing CO 5 & CO 2 & 3

3.1Writing self assessment tasks
3.2 Precis writing and note-making.
3.3 Paragraph and Essay writing.
3.4 Article writing and summarizing
Unit-IV 4. Business Communication: CO 4 & CO 3

4.1 Formal and Informal Letter writing
4.2 Statement of Purpose
4.3 Job application & CV (summary statement of academic & professional profiles)
4.4Power point presentations through relevant slides.
Unit-V 5.Written Comprehension CO 3 & 4

5.1 The ability to write after listening to and reading select speeches, news bulletins,
presentations and answering questions based on what has been heard.
5.2 Reading the given texts to skim, scan, infer and answer comprehension questions.
5.3 Reading texts like case studies and project reports for critical assessment.
5.4 Book Review
Course No Title of the Course Course Structure Pre-Requisite

FCME006 Basics of Mechanical Engineering 3L-1T-0P None

COURSE OUTCOMES:
After completion of this course, the students are expected to be able to demonstrate the following knowledge,
skills and attitudes:
CO 1 : To know force, its nature and applications.
CO 2 : To know the basic principles of civil and mechanical structures.
CO 3 : To understand the fundamentals of thermodynamics and fluid mechanics.
CO 4 : To know the working principles of IC Engines.
CO 5 : To understand the importance of different engineering materials.
CO 6 : To understand the different manufacturing processes and machining operations.
CO 7 : To know the use of Automation in manufacturing.
Unit Nos Topics
Unit-I Introduction to Engineering Mechanics: Rigid and Elastic bodies, Force and its type, Law of
parallelogram of forces, Triangle law of forces, Polygon law of forces, Lami’s theorem, Laws of
motion, Moment, Couple, Varignon’s theorem, Conditions of equilibrium, Concept of free body
diagram, Coulomb’s friction, Plane trusses, Analysis of trusses, Numerical problems
Unit-II Introduction to Strength of Materials: Simple stresses and strains, Direct, shear, and
volumetric stresses and strains, Hooke’s law, Tension test, Elastic constants, Poisson’s ratio,
Factor of safety, Introduction to beam, Types of beams, Types of loads, Shear force and
bending moment diagrams (SFD and BMD) for Simple and Cantilever beams under various
loading conditions, Numerical problems
Introduction to Manufacturing Engineering: Classification and use of engineering materials,

Unit-III Basic principles and applications of methods of manufacturing such as casting, forming and
joining; Working principles and applications of machining operations such as Turning, Thread
cutting, Milling, Shaping, Grinding, etc., Use of automation in manufacturing
Unit-IV Introduction to Thermodynamics: Thermodynamic system, Cycle, Path, Thermodynamic
properties, Extensive and intensive properties, Thermodynamic equilibrium, Reversible and
irreversible processes, isochoric, Isothermal, Isobaric, Isentropic and Polytropic processes,
First law of thermodynamics applied to a cycle and process, Kelvin-Planck and Clausius
statements of Second law of thermodynamics, Carnot cycle, Entropy, Clausius inequality,
Internal combustion (IC) engines, IC engines terminology, Spark ignition (SI) and
Compression ignition (CI) engines, Two and four stroke engines, Air standard cycles such as
Otto, Diesel, Dual and Brayton cycles, Numerical problems.
Unit-V Introduction to Fluid Mechanics: Properties of a fluid, Density, Specific volume, Specific
weight, Specific gravity, Kinetic and Kinematic viscosity, Pascal’s law and its applications,
Laminar and turbulent flow, Use of continuity equation and Bernoulli’s equation, Numerical
problems.
SUGGESTED READINGS:
1. Engineering Mechanics- Beer and Johnston, Pearson
2. Strength of Materials- D.K. Singh, CRC Press
3. Engineering Thermodynamics- Nag, McGraw-Hill
4. Fluid Mechanics- Cengel, McGraw-Hill
5. Fundamentals of Manufacturing Engineering- D.K. Singh, CRC Press
Course No. Title of the Course Course Structure Pre-Requisite

FCMT007 Mathematics II 3L-1T-0P None
COURSE OUTCOMES (CO)
CO 1 : Ordinary Differential Equations.
CO 2 : Partial Derivatives, Maxima and Minima for functions of two or more variables.

CO 3 : Evaluation of double and triple integral.
CO 4 : Concept of Numerical Methods and its Applications.
CO 5 : Concept of Probability and Statistics and its Applications.
Unit Nos Topics
Unit-I Ordinary Differential Equations:
Second & higher order linear differential equation with constant coefficients, general
solution of homogenous and non-homogenous equations, Euler-Cauchy equation, Series
solution by Frobenius method.
Unit-II Function of Several Variables:

Partial Derivatives, Euler’s Theorem, Total differentiations, Change of Variables, Jacobian
and its basic properties, Taylor’s theorem, Maxima and Minima for functions of two or more
variables, Lagrange’s method of undetermined multipliers.
Multiple Integrals:
Evaluation of double integral (in Cartesian and polar co-ordinates), change of order of
integration, change of variables. Triple integral (in Cartesian) and its applications. Gamma
and beta function.
Numerical Methods:
Unit-III Solution of system of linear equations using Gauss elimination method, LU
decomposition method Gauss Seidel iteration method, Solution of polynomial and
Transcendental equations by Newton-Raphson method, NumericalIntegration by
trapezoidal rule and Simpson’s 1/3 and 3/8 rule, NumericalSolutions of first order
ordinary differential equations: Euler’s method, Runge-Kutta method of fourth order.
Unit-IV Probability and Statistics:

Conditional probability, Random Variables, Probability distributionfunctions-binomial,
Poisson, exponential, uniform and normal distributions; Correlation, rank correlation
and regression analysis; Sampling Theorem.
SUGGESTED READINGS:
1. Calculus and Analytic Geometry by G.B. Thomas (Pearson Education)
2. Advanced Engineering Mathematics by Erwin Kreyszig (Wiley Publication)
3. Advanced Engineering Mathematics by Michael Greenberg (Pearson Education)
4. Advanced Engineering Mathematics by R. K. Jain and S.R.K. Iyenger (Narosa Publication)
5. Higher Engineering Mathematics by B. S. Grewal (Khanna Publication)
6. Probability and Statistics for Engineers by Anthony J. Hayter (Cengage Learning)
7. Numerical Methods for Scientific and Engg. Computations by M. K. Jain, S. R. K. Iyenger and R. K.
Jain, (Wiley Eastern Ltd.)
4.2 FOUNDATION ELECTIVE & OPEN ELECTIVE COURSES
Syllabi of foundation elective & open elective courses are compiled in Part B of the scheme of
courses and examination for the Bachelor of Technology Programme
4.3 PROGRAM CORE COURSES
4.3.1 LIST OF PROGRAM CORE COURSES

Pre-requisites/ Equivalent courses information may be used by students opting for the
course as EG.
SEM Code Name of Core LTP Pre-Requisite Courses Equivqlent Page
. Course L T P Course Course Name Course No
Code Codes
II ICICC01 Electrical 3 0 2 EEEEC01 32
Measurements
ICECC02 Electronics 3 0 2 ECECC02,
Devices & Circuits EIECC02,
EEECC02
ICICC03 Signal & Systems ECECC05,
3 1 0
EEEEC03
III ICMTC04 Mathematics III 3 1 0
ICCSC05 Data Structures & 3 0 2 BTITC05,
Algorithms COCSC02,
CACSC02,
CDCSC02,
CMCSC03,
ITITC02,
ECITC03,
EIITC03,
EECSC05
ICICC06 Power Apparatus 3 0 2 EEEEC07,
EEEEC11
ICICC07 Electronic 3 0 2 NIL
Instrumentation
ICECC08 Digital Circuits 3 1 0 COECC03,
and Systems CAECC03,
CDECC03,
ITECC01,
ECECC08,
EEECC08
IV ICCSC09 Database 3 0 2 COCSC05,
Management CACSC05,
System CDCSC05,
CMCSC05,
ITITC05,
EECSC09
ICICC10 Engineering 2 0 4 EEEEC06
Analysis & Design
ICICC11 Control Systems- I 3 0 2 MEICC13,
MPICC13,
EIECC09,
EEEEC15
ICICC12 Microprocessor 3 0 2 COECC08,
Based System CAECC08,
Design CDECC08,
MPECC08,
ECECC12

ICICC13 Sensors and 3 0 2 NIL
Transducers
V ICICC14 Modern Control 3 0 2 NIL
Theory
ICICC15 Process Dynamics 3 0 2 Nil
and Control
ICECC1 Communication 3 0 2 ECECC13,
6 and Optical ECECC14,
Instrumentation EIECC11,
ITECC13
ICICC17 Robotics 3 0 2 MEMEC15,
MPMEC15
VI Power Electronics EEEEE08,
ICICC18 & Drives 3 0 2 EEEEC17
Industrial 3 1 0 NIL
ICICC19
Instrumentation
Digital Signal 3 1 0 ECECC15
ICICC20
Processing
4.3.2 SYLLABI OF PROGRAM CORE COURSES : II SEMESTER
Course No Title of the Course Course Structure Pre-Requisite
ICICC01 Electrical Measurements 3L-0T-2P None
COURSE OUTCOMES (COs):

CO 1. Learn the units and standards of fundamental circuit’s elements and emf.
CO 2. Learn the various types of DC and AC bridges.
CO 3. Understand the working of potentiometers.
CO 4. Acquire fair knowledge on construction and working of various measuring circuit and
instruments.
CO 5. Understand instrument transformers.
Unit No. Topics
Unit 1 Units & Errors

SI units, Definitions, Accuracy, Precision, Resolution, Sensitivity, Relative Error,
Absolute Error, Types of Errors.
Unit 2 Bridges
Measurement of R, C, L, M, f etc. by Wheatstone, Kelvin, Maxwell, Hay’s, Anderson,
Heaviside, Campbell, Schering, Wien bridges. Bridge Sensitivity, detectors, shielding &
grounding.
Unit 3 Potentiometers
DC potentiometers – Vernier potentiometer, slide wire potentiometer, standard
reference voltage source, principle of operation, construction, phantom loading, range
extension and applications of DC potentiometers.
AC potentiometers - polar and Cartesian co-ordinate types.

Unit 4 Measuring Instruments
Classification, operating torques, torque/weight ratio, pointers and scales. Principle of
operation, construction, errors and areas of application of the following types of
instruments: (a) PMMC (b) Dynamometer type wattmeter (c) Moving Iron type (d) Induction
type energy meter.
Measurement of voltage, current, power and energy in single & three circuits.
Unit 5 Instrument transformer
Instrument transformer (CT and PT): construction, phasor diagram, errors, testing.
SUGGESTED READINGS:
TEXT BOOK:
1. Electrical Measurements And Measuring Instruments by Rajendra Prasad ,KHANNA
PUBLISHERS
2. Sawhney A.K, “A course in Electrical and electronic Measurement and
Instrumentation”, Dhanpat Rai & Sons, New Delhi.
3. Electrical Measurements and Measuring Instruments, E.W Golding, F.C Widdis
4. Electronic Instrumentation – H.S. Kalsi, Mc Graw Hill
Course No. Title of the Course Credits Course Pre-Requisite

Structure
ICECC02 Electronic Devices and Circuits 4 3L-0T-2P None

After completing the course, the students should be able to:
CO 1: Acquire basic knowledge of the physical structures and operation of various electronic
devices
CO 2: Be familiar with the physical structure and operation of BJT, FET and MOSFET
CO 3: Understand the concept of load line, biasing of BJT, FET and MOSFET
CO 4 Develop the capability of analysing amplifier circuits using BJT, FET and MOSFET
CO 5: Explore the applications of BJTs and MOSFETs as Current Sources and Sinks
CO:6 Acquire the knowledge of operation and applications of various Optoelectronic devices
Unit No. Topics
Unit 1 Review of semiconductor diodes, Mass action law, carrier concentrations, Graded and
step graded semiconductors, calculation of barrier potential, Drift and diffusion
currents; Physical structure and operation of Zener Diode, Schottky diode, Varactor
diode, Step recovery diode
Unit 2 Physical structure and modes of operation of BJT, input, output and transfer
characteristics, The Ebers-Moll model for BJT; Biasing schemes for BJT, determination
of operating point; bias stability and bias stabilization.
Unit 3 BJT as an amplifier and switch (NPN and PNP both); Various configurations: CE, CB and
CC; Low frequency transistor model, Small signal analysis, Estimation of voltage gain,
input resistance, output resistance; simple current mirror, Bipolar current
sources/sinks and bandgap references.

Unit 4 JFET characteristics and working principle, Biasing schemes for JFET, Small signal
analysis; JFET amplifier, JFET as a voltage-controlled resistance (VCR); MOSFET
operation; enhancement mode and depletion mode; Biasing schemes for MOSFET,
various configurations: CD, CS, CG; MOSFET as a VCR; Complimentary MOS (CMOS),
CMOS digital inverter; Simple Current mirror, MOS current sources/sinks
Unit 5 LED, photo-diode, opto-coupler, opto-isolator, photo transistor; Power electronic Devices:
Thyristor, UJT, SCR.
References:
1. Sedra, Adel S. and Smith, K. C., Microelectronic circuits. New York: Oxford University Press,
1998.
2. Boylestad, Robert L. and Louis Nashelsky, Electronic Devices and Circuit Theory. Pearson
Education, India, 2009.
3. Millman, Jacob, and Arvin Grabel. Microelectronics. McGraw-Hill, Inc., 1987.
4. Malvino, Albert, and David Bates. Electronic Principles with Simulation CD. McGraw-Hill, Inc.,
2006.
5. David A. Bell Electronic Devices and Circuits, Oxford University Press, Fifth edition.
ICICC03 SIGNAL AND SYSTEMS 4 3L-1T-0P Nil
COURSE OUTCOME (CO):

CO 1. Understand CT and DT systems in Time domain using convolution
CO 2. Analyze applications of Laplace Transforms.
CO 3. Apply network analysis using KCL & KVL.
CO 4. Analyze applications of Z-transforms and their analysis.
CO 5. Represent Continuous time Fourier series & Fourier Transforms.
Unit No. Topics

UNIT 1 Introduction to signals & systems, classification of signals and systems, basic
operation of signals, elementary signals, properties of systems. Time domain
representation of LTI systems, convolution sum and convolution integral.
UNIT 2 The Laplace Transform (LT), properties of LT. Laplace Transform method in circuit
analysis, ROC, Inversion of Laplace Transform, Transfer function, poles & zeros,
Impulse response.
UNIT 3 Network Analysis KCL, KVL. First order differential equation, general & particular
solutions. Initial conditions in networks. Second order equations, examples of the
solution of problems with the Laplace Transformation. Network analysis based on
network theorems, waveform synthesis. Impedance functions and two port
parameters.
UNIT 4 The Z Transform, sampling theorem, properties of Z Transform, ROC, Inversion of Z
Transformer, evolution of system frequency response.
UNIT 5 Introduction to Fourier Series and Fourier representation of signals and LTI

systems.
Suggested Readings:
1. Oppenheim, Whilsky and Nawab, “Signals and Systems”, 2nd Edition, Prentice Hall,
New Delhi, 1997.
2. C.T. Chen, “Systems and Signal Analysis”, Oxford University Press, India, 3rd Edition,
2004, ISBN 100195156617.
3. M.E. Valkenburg Network Analysis, EEE.
4. T.K. Rawat, Signals & Systems, Oxford.
4.3.3 SYLLABI OF PROGRAM CORE COURSES : III SEMESTER

ICMTC04 Mathematics-III 04 3L-1T-0P None
COURSE OUTCOMES (CO):

CO 1. To know the concepts of functions of complex variables and its applications to evaluate real
integrals.
CO 2. To know the concepts of vector calculus such as gradient, curl, divergence and integral
theorems such as Green’s Theorem, Stoke’s Theorem and Gauss Divergence Theorem and
their applications in various fields.
CO 3. To know the concepts of Laplace Transforms and its application to solve Differential
Equations, Calculus of Variations.
CO 4. To know the concepts of Fourier series, Harmonic analysis and its applications.
CO 5. To know evolution of Partial Differential Equations and its methods of solutions for real life
problems.
Unit No. Topics

Complex Variables: Functions of a complex variable, analytic functions, harmonic
functions, Cauchy-Riemann equations (Cartesian and polar form). Linear fractional
transformation, Conformal mapping, Mapping of elementary functions (exponential,
UNIT 1 trigonometric, hyperbolic and logarithm functions), Contour integration, Cauchy’s
integral theorem and formula, zeroes, Singularities, Poles, Residue theorem, Evaluation
of real integrals (around unit circle, no singularity on real line, and singularity on real
line).
Vector Calculus: Differentiation of a vector function, scalar and vector fields, Gradient,
UNIT 2 Divergence, Curl, line integral, independence of path, Green’s theorem and applications.
Surface Integral, Stoke’s theorem and applications; Volume Integrals, Gauss Divergence
theorem and applications.
Laplace Transform & Calculus of Variations: Basic properties, Laplace transform of

derivatives and integrals. Laplace transform of periodic functions, Unit step function,
UNIT 3 Dirac-Delta function. Shifting theorems, Inverse Laplace transform, Convolution theorem,
Solution of differential equations using Laplace transform; Calculus of Variations:
Concept of Calculus of variations and its properties, Euler’s Equations and some basic
problems.
Fourier Series: Periodic functions, Fourier series, Functions of any period. Even and odd
UNIT 4 functions, Half range series, complex form of Fourier series, Harmonic analysis.

Partial Differential Equations: Solution of first order equations: Lagrange, non linear
UNIT 5 first order, Charpit’s method, higher order linear equations with constant coefficients.
Separation of variables, Solutions of Heat and Wave equations (one dimensional only),
Laplace equation.
SUGGESTED READINGS:
1. Jain and Iyenger, `Àdvanced Engineering Mathematics,’’ Narosa Publication
2. Kreyszig, `Àdvanced Engineering Mathematics,’’ Wiley Publication
3. Greenberg, `Àdvanced Engineering Mathematics,’’ Pearson Education
4. A. S. Gupta `` Calculus of Variations with Applications’’ Pearson Education
Course No. Title of the Course Cre dits Course Pre-Requisite

Structure
ICCSC05 Data structures and Algorithms 04 3L-0T-2P NIL
CO 1. Define and describe data structures
CO 2. Design and specify algorithms for solving problems
CO 3. Analyzing the amortized time complexity of a given algorithm and data structure
operations
CO 4. Decide the appropriate design methodology for a given problem from among the
paradigms of Divide and Conquer, Dynamic Programming, Greedy, Branch and
Bound.
CO 5. Analyze the correctness of algorithms
CO 6. Prove the NP completeness of a given problem by using the technique of many-one
reductions.
Unit No. Topics
UNIT 1 Introduction to data structure-Time and space complexity analysis of algorithms -

Asymptotic analysis - Big Oh - Omega – theta notations – Asymptotic - Recurrence
relations,
Linked lists - Stack and Queue - complexity analysis - representation and evaluation of
UNIT 2 arithmetic expressions
Tree -Binary tree - in-order, pre-order and post-order traversals- Binary Search Tree
Graph representation- DFS, BFS, minimum spanning tree problem - Shortest path
UNIT 3 problem - Dijkstra's algorithms Searching and Sorting - Binary search - Quick sort -
Heap sort - Merge sort- priority queue using heap - complexity analysis of search and
sorting algorithms - average case analysis of quick sort-- Hash tables
Problem Solving, Classical Algorithm paradigms,: divide and conquer - Strassen's

algorithm, O(n) median finding algorithm - dynamic programming - matrix chain
UNIT 4 multiplication - Floyd-Warshall algorithm
- Huffman coding - Knapsack, Kruskal's and Prim's algorithms for MST - backtracking
- branch and bound - traveling salesman problem
matroids and theoretical foundations of greedy algorithms

Complexity: complexity classes - P, NP, Co-NP, NP-Hard and NP- complete problems -
UNIT 5 cook's theorem- NP-completeness reductions for clique - vertex cover - subset sum -
hamiltonian cycle - TSP - integer programming - approximation algorithms - vertex cover
- TSP - set covering and subset sum.
SUGGESTED READINGS:
1. Cormen T.H., Leiserson C.E, Rivest R.L. and Stein C, Introduction to Algorithms,
Prentice Hall India, 3/e, 2010
2. Anany Levitin, Introduction to the Design & Analysis of Algorithms, Pearson
Education. 2003
3. Basse S., Computer Algorithms: Introduction to Design And Analysis, Addison Wesley.
4. Aho A. V., Hopcroft J. E. & Ullman J. D., The Design And Analysis of Computer
Algorithms, Addison Wesley
ICICC06 Power Apparatus 04 3L-0T-2P Basic of Electrical

Engg./ EEE
COURSE OUTCOME (CO): At the end of this course, students will demonstrate the ability to
CO 1. Understand the concepts of polyphase circuits
CO 2. Understand the concepts of magnetic circuits.
CO 3. Understand operation of transformers.
CO 4. Understand basic concepts of rotating machines.
CO 5. Understand DC and AC machine characteristics.
Unit No. Topics
Polyphase AC circuits: Concept of polyphase supply and phase sequence, Three phase
system-its necessity and advantages, Star to Delta Conversion and vice versa, Balanced
UNIT 1 supply and balanced load, Line and phase voltage/current relations, Three-phase
power and its measurement:3 wattmeter method.
Magnetic circuits: Magnetic circuit concepts, B-H curve, Hysteresis and eddy current
UNIT 2 losses, Mutual coupling with dot convention, Magnetic circuit calculations, DC and AC
excitation of ferromagnetic structures
Transformers: Principle of operation, Constructional features, EMF equation, Phasor
UNIT 3 diagram, Equivalent circuits, Power losses, Efficiency, Testing, Introduction to auto
transformer, Introduction to three phase transformer-various connections like star-star,
star-delta etc.
Basic concepts of rotating machines: Energy in singly excited and multiple

UNIT 4 excited magnetic systems, Generated voltage, MMF of distributed winding, Rotating
magnetic fields, Torque in non-salient pole machines, Concept of electro-mechanical
energy conversion.

Rotating Machines:
DC machines: Types, EMF equation of generator and torque equation of motor,
Starting methods, efficiency, Characteristics and applications of DC motors.
Three Phase Induction Motor: Types, Principle of operation, Torque-slip characteristics,
UNIT 5 Single Phase Induction motor: Principle of operation and methods of starting,
applications, Losses and Efficiency.
Three Phase Synchronous Machines: Principle of operation of alternator and
synchronous motor and their applications.
SUGGESTED READINGS:
1. A. E. Fitzgerald, C. Kingsley Jr. and S. D. Umars, “Electrical Machinery”, McGraw Hill, 2019
2. I. J. Nagrath and D. P. Kothari, “Electric Machines”, Tata McGraw Hill, 2019.
3. P. S. Bimbhra, “Electrical Machinery”, Khanna Publishers, 2019.
ICICC07 Electronic Instrumentation 4 3L – 0T – 2P EEE

CO 1. To learn Op-amp applications in instrumentation.
CO 2. To design Op-amp based signal conditioning circuits for measurement applications.
CO 3. To design Op-amp based amplifiers, filters, oscillators and waveform generators.
CO 4. To learn functioning and design of oscilloscopes, spectrum analyzers, DMMs and
distortion analyzers.
CO 5. To apply above circuits and components for instrumentation systems.
Unit No. Topics

OP-AMP fundamentals and applications: Open loop characteristics, Various amplifier
configurations including feedback, Effects of feedback on: Gain, I/P impedance, O/P
UNIT 1 impedance and bandwidth, Instrumentation amplifier, Current to voltage convertors,
Voltage to current converters, Constant current generators, Applications and design of
4-20mA and ±10V conversions, Applications of OP-AMPs in sensors signal conditioning,
Transducer bridge amplifier.
Active filters: Filtering fundamental, Designs of OP-AMP based low pass, high pass,
band pass, band reject and notch filters of different orders, Standard second order
UNIT 2 responses, Oscillators and Signal generators: Barkhausen criteria,Sine wave
generators, Triangular wave generators, Sawtooth wave generators, Introduction to
Monolithic waveform generators, Multivibrators and timers.
Nonlinear circuits: Voltage comparators, Comparator applications, Schmitt triggers,
Precision rectifiers, Analog switches, Peak detectors, Sample-and-Hold amplifiers.
UNIT 3
Introduction to D/A and A/D converters, data acquisition systems.
Digital meters: Performance specifications, Digital voltmeters, AC and
UNIT 4 R.M.S measurements, Range settings, Digital frequency measurements, Digital multi-
meters, True RMS meters, Digital L-C-R-Q meters, Digital wattmeter.
Waveform measuring instruments: CRO and its applications, Special oscilloscopes,
UNIT 5 DSO and DPO, Measurement of voltage, frequency and phase, Oscilloscope probes,
Oscilloscope specifications and performance, Spectrum analyzer, Distortion
measurements, Distortion analyzer, Future trends in electronic measurements.

SUGGESTED READINGS:
1. David A. Bell, Electronic Instrumentation and Measurements, PHI
2. OP-AMP and LIC, Ramakant A. Gayakwad, Pearson
3. Design with OP-AMPS and Analog Integrated Circuits, Sergio Franco, TMH
4. Modern Electronic Instrumentation and Measurement Techniques, Helfric and Cooper, PHI
5. Electronic Test Instruments: Analog and Digital Measurements, Robert A. Witte, Pearson
Course No. Title of the Course Course Structure Credits Pre-

Requisite
ICECC08 Digital Circuits and Systems 3L-1T-0P 4 Nil
CO 1. Acquired knowledge about basics of digital electronics.
CO 2. Acquired knowledge about solving problems related to number systems and Boolean
algebra.
CO 3. Ability to identify, analyze and design combinational circuits.
CO 4. Ability to design various synchronous and asynchronous sequential circuits.
CO 5. Acquired knowledge about internal circuitry and logic behind any digital system.
Unit No. Topics
UNIT 1 Logic gates, Boolean algebra, Binary Arithmetic, binary codes.
UNIT 2 Combinational circuits – Adders, decoders, multiplexers, de-

multiplexers, PLAs and code convertors.
Sequential circuits- Synchronous and Asynchronous, flip-flop, latch, clocked flip-flop.
UNIT 3 Counters, ripple, synchronous and programmed counters.
Semiconductor memories.
UNIT 4 Introduction to logic families RTL, DTL, TTL, ECL, IIL, MOS, CMOS etc.
Digital to Analog conversion, Analog to Digital, voltage to frequency, frequency to
UNIT 5 voltage conversion. Introduction to VHDL and its applications.
SUGGESTED READINGS:
1. M. Morris Mano, “Digital Logic and Computer Design”, Prentice Hall of India.
2. John M. Yarbrough, “Digital Logic, Application & Design”, Thomson.
3. H. Taub & D. L. Schilling, “Digital Integrated Electronics,” McGraw Hill.
4. W. J. Dally, R. C. Harting, and T. M. Amodtt, “Digital Design Using VHDL, A systems
approach,” Cambridge University Press.
4.3.4 SYLLABI OF PROGRAM CORE COURSES : IV SEMESTER
Course No. Title of the Course Credit Course Structure Pre-

requisite
ICCSC09 Database Management System 4 L-T-P : 3-0-2 NIL

CO 1. Understand fundamentals of database management system
CO 2. Develop data models for database management system
CO 3. Identify pitfalls in database design and Improve database design
CO 4. Formulate queries to define and manipulate database
CO 5. Understand transaction management, concurrency control and recovery techniques
CO 6. Understand file organization
Unit No. Topics
UNIT 1 Introduction
Database system concepts and its architecture, Data models schema and instances,
Data independence, Database abstraction, database languages, DDL, DML, users of
database management systems
UNIT 2 Data Modelling
Introduction to data models, Entity Relationship model (ER) concepts, mapping
constraints, Keys, Extended ER models, generalizations- specialization, Strong entity,
Weak Entity, Aggregation, Relational Mode, Mapping ER diagrams to relations.
Relational Data Model and Language: Relational data model concepts, keys-primary
keys, foreign keys, super keys, integrity constraints, domain constraints, assertions,
triggers, relational algebra, calculus, SQL.
UNIT 3 Data Base Design
Anomalies in database design, Functional dependencies(FDs), closure of FDs, canonical
cover of FDs, Normalization, 1NF, 2NF, 3NF and BCNF, multi-valued dependencies,
fourth normal form, join dependencies and fifth normal form, lossless join
decompositions, dependency preserving design.
UNIT 4 Transaction Management and Concurrency Control
Transactions, serial and concurrent schedules, Serializability, conflict & view serializable
schedule, recoverable and cascadeless roll back schedules, Concurrency Control
protocols- Lock based protocols for concurrency control, timestamp based protocols,
Validation based concurrency control, Database recovery from failure, log based recovery
techniques for serial and concurrent schedules, checkpoints
UNIT 5 File Organization
Overview of file organization techniques, Indexing and Hashing, Sparse and dense index,
Ordered indices, Multi-level indexes, B+- Tree
SUGGESTED READINGS:
1. Korth, Silbertz, Sudarshan,”Data base concepts”, McGraw-Hill.
2. Elmasri, Navathe,”Fundamentals of Database systems”, Addision Wesley
3. Ramakrishna, Gehkre, “Database Management System”, McGrawHill
4. Date C. J., “An Introduction to Database systems”
ICICC10 Engineering Analysis and Design 04 L-T-P: 2-0-4 NIL

CO 1. Understand MATLAB programming and apply on engineering problems.
CO 2. Analysis of numerical methods
CO 3. Modelling of Physical Systems
CO 4. Understand PSPICE programming
CO 5. Apply the knowledge of programming to various cases.
Unit No. Topics
UNIT 1 Programming in MATLAB: Programming a function, repetitive and conditional control

structures, Iterative solution of equations, polynomial interpolation; Plotting and
analysis: two-dimensional and three-dimensional plots, Histograms,, Function
evaluation; Handling external files: saving and loading data.
UNIT 2 Solution of Differential Equations using MATLAB: Systems of linear equations,
homogeneous and non-homogeneous linear equations, Polynomial equations, least
squares fit; ordinary differential equations: Euler’s method, Runge-Kutta method,
Newton-Raphson method, Predictor Corrector methods; Numerical integration: Forward
and backward integration rules, Trapezoidal rule, Simpson’s rule, Errors of integration.
UNIT 3 Model of Physical Systems using MATLAB and SIMULINK: Introduction to physical
systems: Mass-spring-damper system, rotational mechanical system, gear trains, liquid
level system; Circuit models: RL, RC, LC, RLC series and parallel circuits with
sinusoidal and non-sinusoidal excitations, diode rectifier.
UNIT 4 Simulations using PSPICE: Continuous state simulation: circuit level simulators,
Discrete-event simulation: Fixed and variable time step; Response analysis of circuits:
DC analysis, AC Analysis, Transient analysis, PSPICE Circuit Simulator: Introduction,
circuit descriptions, Input files, nodes, circuit elements, element values, sources, output
variables; Analysis: DC sweep, Transient and AC analysis. PSPICE models
UNIT 5 Design Case Studies: Position control and speed control of DC Motor, temperature
control system. PCB fabrication for electrical / electronic circuits using ORCAD.
SUGGESTED READINGS:
1. B. Adrian, and B. Moshe, Matlab for Engineers, Addison-

Wesley, ISBN 13: 9780201565249.
2. M. H. Rashid, “SPICE for Power Electronics and Electric Power,” 3rd Edition, December
2017, CRC Press, ISBN: 9781351833042.
3. M. H. Rashid, “Introduction to PSpice Using OrCAD for Circuits and Electronics,” 3 rd
Edition, ISBN-13: 978-0131019881.
4. J. P. William, “Introduction to MATLAB for Engineers”, 3rd edition, McGraw Hill. 2010.
Documentation of MATLAB, PSPICE and CADENCE / ORCAD.
Course No Title of the Course Credits Course Structure Pre-Requisite
ICICC11 CONTROL SYSTEMS - I 4 L-T-P: 3-0-2 Signal and Systems

COURSE OUTCOMES (COs)
CO 1. Understand and analyse feedback characteristics of linear continuous control
systems.
CO 2. Derive mathematical model of various physical systems.
CO 3. Determine the response of different order systems for various standard inputs.
CO 4. Frequency domain analysis of linear continuous control systems using various
standard Techniques
CO 5. Design of PID controller for linear systems in continuous domain
Unit No. Topics
UNIT 1 Introduction: Open loop and closed loop control systems illustrations, classification of
control systems, Revision of standard Laplace Transform table and initial and final
value theorem, Transfer function, block diagram and signal flow graph representation,
Block diagram reduction techniques, Mason’s gain formula .
UNIT 2 Mathematical Models of Physical Systems: Mathematical Modelling and System
Representation of physical systems, Mechanical and Electrical systems, analogous
systems, F-V and F-I Analogy.
Feedback Characteristics of Control Systems: Effects of feedback on variation of
system parameters, system Dynamics, sensitivity and effect of disturbances.
Control System Components: Potentiometers, Synchros, Armature and field- controlled
D.C servomotor, A.C servomotor, Tachogenerator, Stepper Motor.
UNIT 3 Time Domain Analysis: Standard test signals, transient response for first and second
order systems, transient specifications, Concept of Poles and Zeros , Effects of
proportional (P) Integral (I) and Derivative (D) control and PID control action on system
performance, Position, Velocity and Acceleration error coefficients and steady state
error.
UNIT 4 Stability: Concept of stability, conditions for stability, Routh Stability criteria, Root
locus technique, construction rules, Stability check using root locus plots.
Frequency Domain Analysis: Concept of frequency response, Frequency response plots:
polar plot, Bode plots, Nyquist stability criteria and Nyquist Plots, Stability in
frequency domain, performance specifications, correlation between time and frequency
responses.
UNIT 5 Compensation Techniques: Control systems using compensation networks such as,
Lag, Lead, Lag-lead networks
Suggested Readings:
1. Ogata K, “Modern Control Engineering”, 4 th Edition, Prentice Hall, New Delhi.
2. Richard Dorf & Robert Bishop, “Modern control system”, 10th edition, Pearson Education.
3. B.C Kuo, “Automatic control systems”, 7th Edition, Prentice Hall, New Delhi.
4. I.J. Nagrath and M. Gopal, “Control Systems Engineering,” New Age International
Publishers.
Course No. Title of the Course Credit Course Structure Pre-Requisites
ICICC12 Microprocessor Based 4 L-T-P: 3-0-2 Digital Circuits and

System Design Systems

CO 1. Understanding of working principle of Microcomputer, interfacing of memory and I/Os.
CO 2. To understand the technical limitations and challenges of program execution timings,
size of codes, and coordination with other peripheral devices.
CO 3. Introduction of Advanced Microprocessors and their working environment under
Industrial Applications.
CO 4. How to select proper devices for designing any digital systems.
CO 5. To prepare for next generation researcher and system designer/developer in the area
of fast changing and emerging digital processing units.
CO 6. To train enough to understand related scientific and technological terminologies, and
how to protect the system from undue exploitation and misinterpretation by the
service providers in this area.
Unit No. Topics
UNIT 1 Introduction of microprocessors and microcontrollers, General Architectural

Concepts, memory devices, and I/Os. Introduction of X86 Family of Advanced
Processors in contrast of Intel 8085 Microprocessor.
UNIT 2 Study of 8086/8088 Microprocessors: Internal Architectures, Pin signal

assignments, minimum and maximum mode operations, Addressing modes, and
Timing Diagrams
UNIT 3 Types of instructions and their format, Assembly language Programming,

Compilation and generating executable codes. Testing and Debugging of Codes,
Concepts of Procedures and Macros.
UNIT 4 Introduction to 8087 math coprocessor and its instruction set. Peripheral Devices
and Their Interfacing: Memory and I/O interfacing, data transfer schemes,
programmable peripheral interface (8255), Display and keyboard Interface (8279),
programmable interrupt controller (8259), programmable counter/interval timer
(8253/8254), Case studies of different Applications.
UNIT 5 Introduction of 80386/80486 Microprocessors, the concept of Real mode, Protected

Mode, and Virtual 8086 mode, Programming Model and internal resources available.
Memory managements and IOs. Types of interrupts.
SUGGESTED READINGS:
1. John E. Uffenbeck, “The 8086/8088 Family: Design, Programming, and Interfacing”, PHI
2. Barry B. Bray, “Intel Microprocessors 8086/8088, 80186/80188, 80286, 80386, 80486,
Pentium, Prentium Proprocessor, Pentium II, III,”
ICICC13 Sensors and Transducers 4 L –T– P: 3-0-2
Course Objectives:
CO 1. To learn static and dynamic characteristics of sensing elements.
CO 2. To learn functioning and applications of various sensors and transducers.
CO 3. To learn compensation and performance enhancement of sensors and transducers.
CO 4. To design transducers based complete measurement systems.
CO 5. To apply various transducers systems for measurement applications.

Unit No. Topics
UNIT 1 Block diagram of a measuring system, Performance characteristics - I: Various

definitions related to instrumentation and measurements, Loading effect, Instrument
selection, Aggregation of errors and uncertainty, Performance characteristics - II:
Dynamic performance characteristics, Formulation of system differential equations,
Dynamic responses of Ist and 2nd order systems, Compensations and Performance
Enhancements, Elementary feedback configurations.
UNIT 2 Classification of transducers, Resistive transducers: Resistance potentiometer, Strain
gage: theory, calibration, thermal compensations, signal conditioning aspects,
Temperature transducers: Thermocouple, RTD (3/4 Wires), Thermistors, Lead
compensation and signal conditioning aspects, Current source design, IC based sensing,
Bolometer.
UNIT 3 Capacitive Transducers: Various configurations- Air gap and dielectric filled,
Applications for linear and angular measurements, Humidity measurement, Inductive
transducers: LVDT, Variable inductance transducers, Piezo- electric transducers: Piezo-
electric effect, Inverse Piezo-electric effect, Crystals and properties, Configurations and
modeling, Sensitivity coefficients, Frequency response of PZT, Accelerometers and
vibration pickups applications.
UNIT 4 Hall effect transducer and its applications, Proximity sensors, Optical Transducers:
Various photo electric transducers, Encoders, Hotwire anemometers, Electromagnetic
flow meter, Flapper and nozzle, Elastic Transducers: Special features and their
applications, Bellows, Diaphragm, Membranes, Bourdon tubes.
UNIT 5 Effect of miniaturization on sensors, Introduction to MEMS, Working principle of
capacitive MEMS, Introduction to smart/intelligent transducers, IEEE 1451, SoC,
Introduction and applications of AI/IOT based transducer systems, TEDS and its
applications, Recent developments in sensors and transducers.
Suggested Readings:
1. Instrumentation, Measurement and Analysis, Nakra and Chaudhry, 4th Edition, TMH
2. Principles of Measurement Systems, Bentley, 4th Edition, Pearson
3. Engineering Measurements, Dally et al., 1 st Edition, Wiley
4. Mechanical Measurements, Beckwith, 6 th Edition, Pearson
5. Transducers and Instrumentation, Murty, 2 nd Edition, PHI
6. Measurement Systems Application and Design, Doebelin, 4 th Edition, TMH
7. Scaling Issues and Design of MEMS, Baglio et al., Wiley

4.3.5 SYLLABI OF PROGRAM CORE COURSES : V SEMESTER
ICICC14 Modern Control Theory 4 L-T-P: 3-0-2 Control Systems
Course Objectives:
1. To understand the state variables and its application in modelling.
2. The understanding of nonlinear systems and their stability.
3. To study the fundamental concept of Calculus of Variation.
4. Investigate the variational approach to optimal control problems.
5. Analyze the implications of Pontryagin’s minimum principle and state inequality constraints.
Unit No. Topics
UNIT 1 State Space representation of systems, solution of state equations, controllability and
observability, design of control system via state space, linear state feedback controller and
observer design.
UNIT 2 Introduction to Non-Linear Control, Types of non-linearities, Describing function approach for
stability of non-linear systems. Stability analysis using Lyapunov methods, local and global
stability for linear and non-linear systems. Krasovski Method of stability analysis.
UNIT 3 Optimization and Optimal Control: Calculus of variations – Fundamental concepts, Functionals,
The Variation of a Functional, Fundamental theorem of calculus of variations, Functionals of a
single function, The simplest variational problem: The Fixed and Free End-Point problem, Euler
equation, natural boundary condition, transversality condition, Functionals involving several
independent functions. Constrained minimization functions and functionals.
UNIT 4 Variational approach to optimal control problems, Necessary conditions for optimal control,
Linear Quadratic Regulator problems, Linear tracking problems, Riccati equation for finite and
infinite time process.
UNIT 5 Pontryagin’s minimum principle and state inequality constraints. Minimum time problems –
Minimum control – effort problems. Singular intervals in optimal control problems.
Suggested Readings:
1. Brogan W. L, “Modern Control Theory”, 3rd Edition, Prentice Hall Inc., New Jersey.
2. Raymond A.De Carlo,“Linear Systems,A state variable approach with numerical implementation”,
Prentice Hall Inc., New Jersey.
3. D.E Kirk , “An Introduction to Optimal Control Theory”.
4. M. Gopal, “State Variable Analysis and Design”, TMH Publication.
ICICC15 Process Dynamics and 4 L-T-P: 3-0-2 Control systems

Control

CO 1. Understand the design aspects of process control system
CO 2. Model the dynamic, static behavior of Chemical Processes and apply linearization to the models.
CO 3. To study the basic control actions and their tuning.
CO 4. Design the advanced controllers for different processes.
CO 5. To study the final control elements commonly used in industrial processes.
Unit No. Topics
UNIT 1 Introduction: Historical perspective, Incentives of process control, Synthesis of control system.
Classification and definition of process variables. Need and applications of mathematical
modeling, Lumped and distributed parameters systems, Modeling of STH, CSTR, and tubular
heat exchanger, linearization of nonlinear process, interacting and non-interacting type of
systems, dead time elements.
UNIT 2 Introduction to feedback Control, Dynamic Behaviour of feedback Controlled processes, stability
analysis of feedback systems, Design of Feedback Controllers, Frequency Response Analysis of
Linear Processes, Design of feedback Control Systems using Frequency Response Techniques.
UNIT 3 Introduction to Proportional (P), Integral (I), Derivative (D) controllers, PI & PID controllers.
Detailed comparison of PID controller algorithms. Derivative action on process output vs. error.
Problems with proportional “kick” and reset “wind-up”. Tuning of PID controller.
UNIT 4 Analysis and Design of Advanced Control Systems: Feedback Control of systems with large dead
time or Inverse Response, Cascade Control, Selective Control Systems, Split- range Control,
Feedforward Control, Ratio Control, Inferential Control Systems. Introduction to adaptive
control system.
UNIT 5 Final Control Element: Signal Conversion (I/P or P/I converters), Solenoid, E-P converters,
Hydraulic and Pneumatic actuators, control valves-Types, Functions, Quick opening, Linear
and equal percentage valve, Ball valves, Butterfly valves, Globe valves, Pinch valves, Valve
application and selection pneumatic control valves, valve petitioners and design of pneumatic
control valve.
SUGGESTED READINGS:
1. Process Dynamics and Control. E. Seborg, T. F. Edgar, and D. A. Mellichamp. 3rd ed., Wiley, 2011.
2. Process control instrumentation technology. Curtis D. Johnson PHI.
Computer based industrial control: Krishnakant PHI.

ICECC16 Communication and Optical Instrumentation 4 L-T-P: 3-0-2
CO 1. Understand and remember different modulation and demodulation schemes for analog and
digital communications.
CO 2. Illustrate the basic knowledge of probability theory and understand the effect of noise in
communication systems.
CO 3. To design, implement and compare various modulation and demodulation schemes.
CO 4. To understand about different components of optical networks.
CO 5. To understand the working of Optical sensors.
Unit No. Topics

UNIT 1 Introduction to communication system, Communication Channels, Review of Fourier transform
and its properties, Need for modulation. Time domain and frequency domain description - AM,
DSBSC, single tone modulation, power relations in AM waves, Generation and Demodulation of
AM waves, Generation and demodulation of DSBSC Waves. Introduction to FM and PM,
Frequency Modulation: Single tone frequency modulation, Spectrum Analysis of Sinusoidal FM
Wave, Narrow band FM, Wide band FM, Generation and Demodulation of FM Waves,
UNIT 2 Probability Theory, Random Variables, Gaussian Distribution, Transformation of Random

Variables, PDF, CDF, Mean, Moments, Covariance Functions, Power Spectral Density,
Correlation Functions, Sampling theorem (Instantaneous Sampling, Natural Sampling and Flat
Top Sampling), TDM, Pulse Code Modulation, Differential PCM systems (DPCM), Delta
modulation.
UNIT 3 Model of Digital Communication Systems, Gram-Schmidt Orthogonalization, Geometric
interpretation of signals, matched filter receiver, correlation receiver, Digital Modulation formats,
Coherent binary modulation techniques (BPSK, BFSK), Coherent quadrature modulation
techniques (QPSK), Non-Coherent binary modulation techniques (DPSK), BER for BASK, BFSK
and BPSK.
UNIT 4 Evolution of light wave systems, Block diagram of optical fiber communication systems,
structure of optical waveguide, light propagation in optical fibers, Optical fibers; step and graded
index fiber. Optical sources, principles of laser action, working of Semiconductor laser and LEDs.
Optical detectors; principles of APD and PIN diodes, phototransistors and photo conductors.
Functional modules of optical fiber communication network, WDM system.
UNIT 5 Introduction to optical fiber sensors, intensity modulated sensor, displacement type sensors,
Interferometric based sensor, Photo-transistor based sensors, Fiber based sensor. Optical time
domain reflectometer (OTDR), optical spectrum analyzer (OSA), UV-VIS, FTIR, Optical Fiber
spectrophotometer, Raman spectroscopy.
Suggested Readings:
1. S. Haykin, Communication Systems, 4thEdn, John Wiley & Sons, Singapore, 2001.
2. B.P. Lathi, Modern Digital & Analog Communication Systems, 3rdEdition, Oxford University
Press, Chennai, 1998.
3. Leon W. Couch II. Digital and Analog Communication Systems, 6thEdition, Pearson Education Inc.,
New Delhi, 2001.
4. Gerd Keiser, “Optical Fiber Communications”, McGraw Hill , 5th Edition, 2013.
5. J. Wilson & J. F. B. Hawkes, “Optoelectronics: An Introduction” PHI/ Pearson.
ICICC17 Robotics 4 L-T-P: 3-0-2 Mathematics

CO 1. To understand working principle of Robotic Manipulators and its different configurations used
in Industrial environments.
CO 2. To study the spatial movement of robot arm with the help of kinematic modeling.
CO 3. To evaluate and analyze the forces/torques acting on the links and joints of a robotic arm.
CO 4. To understand the technical limitations and challenges of the Robot, selecting the best path
with avoidance of obstacles etc.

CO 5. How to select proper technological devices, size and configuration of arms and associated
motors, sensors and actuators for specific robotic applications.
Unit No. Topics
UNIT 1 Introduction: Basic Structure of Industrial Robots, Robot Anatomy, Classification

of Robots, Applications of Industrial Robots
UNIT 2 Robot Arm Kinematics: Direct Kinematics; Rotation Matrices, its Geometric interpretation;
Homogeneous Transformation Matrices and its geometric interpretation; Links, Joints, and their
parameters; D-H Representation; Kinematic Equations; Different forms of Coordinates used in
Robotics; Solving Inverse Kinematic Problems.
UNIT 3 Robot Arm Dynamics: Introduction about dynamic modelling of Robotic Arms; Lagrange-Euler
Formulation and its computational complexities; Newton-Euler Formulation, Rotating and
moving Coordinate Systems, Kinematics of the Links, d’Alembert’s Principle and calculation of
required torques/forces for each joint.
UNIT 4 Robotic Manipulator Jacobian and Trajectories Planning: Velocity propagation, Manipulator
Jacobians for serial manipulators, Singularity analysis and statics; General considerations on
Trajectory Planning; Joint-interpolated Trajectories; Cartesian Path Trajectories; Introduction to
Mobile Robot.
UNIT 5 Robotic Sensors and Actuators: Uses of Hydraulic, pneumatic and electric drives; Types of End
Effectors, its selection criteria, classification, and design of grippers; Sensors: Range Sensing,
Proximity Sensing, Touch and Torque sensors; Vision Sensors: Stages of Vision Sensing,
devices used, Illumination Techniques; Imaging Geometry, Camera modelling and calibration,
Image Analysis
Suggested Readings:
1. Fu, Lee and Gonzalez., Robotics, control vision and intelligence-, McGraw Hill International, 2nd
edition, 2007
2. John J. Craig, Introduction to Robotics-, Addison Wesley Publishing, 3rd edition, 2010
3. Yoram Koren, Robotics for Engineers, McGraw Hill International, 1st edition, 1985
4. Klafter, Chmielewski and Negin, Robotic Engineering - An Integrated approach,, PHI, 1st edition, 2009.
5. Asfahl C.R, “Robots and Manufacturing Automation”, John Wiley & Sons, New York, 1992.
Mikell P, Weiss G.M, Nagel R.N and Odrey N.G, “Industrial Robotics”, McGraw Hill, New York, 1986.

4.3.6 SYLLABI OF PROGRAM CORE COURSES : VI SEMESTER
ICICC18 POWER ELECTRONICS 4 L-T-P: 3-0-2 Power Apparatus

& DRIVES
Course Outcomes (CO):
CO 1. To understand the fundamentals of power semiconductor devices.
CO 2. To analyse the power electronics circuits and implementation of power modulators.
CO 3. Selection of drive system for a particular application.
CO 4. To study the various electrical machines used in electric drives.
CO 5. To develop the various electrical drive systems using special motors.
Unit No. Topics
UNIT 1 Fundamentals of Power Semiconductor Devices: Introduction to Thyristors and its family,
Turn-on and Turn - off Methods, Power Semiconductor Devices (IGBT, MOSFET, Power Diode,
BJT) and their V-I Characteristics, Ratings, Driver Circuits, Protection and Cooling.
UNIT 2 Power Electronics Converters: Single-phase and Three-phase Converter circuits with different
types of Loads, Principle of Phase Control, Single- phase and Three-phase Voltage Controllers
with R and RL type of loads, Principle of Chopper operation, Types of Choppers, Steps-up and
Step- down Choppers. Principles of operation of Cyclo-Converters, Step-up and Step-down
Cyclo-Converters, Single-phase and Three-phase Voltage Source and Current Source Inverters,
PWM Inverter.
UNIT 3 Fundamentals of Electric Drives: Parts of electric drives, Dynamics of Electric Drives,
Control of Electric Drives, Selection of Motor Power rating, DC Motor Drives, Four Quadrant
operation of DC Motor, Thyristor and Chopper fed DC Motor Drives.
UNIT 4 Induction Motor Drives: Generating and Braking Modes of Induction Motor Drives, Speed
Control using Stator Voltage Control, CSI control, Variable Frequency Operation, Rotor
Resistance Control, pole amplitude modulation and Slip Power Recovery Schemes for Induction
Motor drives - Scherbius and Kramer drive.
UNIT 5 Introduction to Special Motor Drives: Synchronous Motor and DC Brushless Drives,
Introduction to Stepper Motor and Switched Reluctance Motor Drive, Solar and Battery Power
Drives.
Suggested Readings:
1. Fundamentals of Electric Drives – G.K. Dubey, Narosa Publications.
2. Electric Drives: An Integrative Approach – N. Mohan, MNPERE.
3. Electric Motor Drives: Modeling, Analysis, and Control - Krishnan, PHI.
4. Electric Motors and Drives: Fundamentals, Types and Applications - Hughes and Drury, Newnes.
5. Fundamentals of Electric Drives - Sharkawi, Brooks/Cole Publishing Company.
6. Power Electronics: Converters, Applications, and Design – N. Mohan, Wiley

ICICC19 Industrial 4 L-T-P: 3-1-0 Nil

Instrumentation
CO 1. To study the fundamentals and design aspects of industrial and analytical
instrumentations suitable for working in any process industry.
CO 2. To analyse multidisciplinary measurement techniques used in industry like level, flow,
pressure, viscosity, humidity, moisture, density and pH.
CO 3. To select a suitable measurement device for a specific application.
CO 4. To learn analytical instrumentation systems for Spectrometry, Chromatography and Mass
Spectrometer.
CO 5. To analyse the data acquired from analytical measurements.
Unit No. Topics
UNIT 1 Pressure Measurement: Basic principles, Different types of manometers, Manometer dynamics,
Dead weight testers, very low and very high pressure, measurement of vacuum – McLeod gauge –
Pirani gauge- thermal conductivity gauge – Ionization gauge.
UNIT 2 Flowmetery: Theory of fixed restriction variable head type flow meters – venturi meter, orifice
plate, flow nozzle, Dall tube, installation of head flow meters, pitot tube.
Area flow meters and mass flow meters: turbine flow meter – rotameter, mass flow meter,
domestic water meter.
Electrical Type Flow Meter:-Principle and constructions of electromagnetic flow meter –
ultrasonic flow meters, laser Doppler anemometer, target flow meter, solid flow rate
measurement, guidelines for selection of flow meter.
UNIT 3 Level Measurement - Gauge glass technique, float type level indicator, level switches, level
measurement using displacer and torque tube, bubbler purging method. Boilers drum level
measurement, differential pressure method, electrical type of level gauges using resistance,
capacitance, nuclear radiation and ultrasonic sensors etc.
UNIT 4 Chromatography: Gas chromatography, Liquid chromatography – Principles, types and
applications, high pressure liquid chromatography, detectors. Estimation of specific gases in a
mixture. Measurement of Viscosity, Humidity, Moisture, Turbidity and pH.
UNIT 5 Spectro-Photometers: Spectral methods of analysis – UV – Visible spectrophotometers – single
beam and double beam instruments – sources and detectors – IR spectrophotometers – sources
and detectors – FTIR spectrometers – atomic absorption spectrophotometers – flame emission
spectrophotometers – sources of flame photometry – Mass spectrometers and their applications.
Statistical treatment of experimental data: data visualization, hypothesis formulation, inferential
statistics (e.g. t-test), briefly correlation and (multiple) regression, uncertainty and confidence
intervals, ANOVA (fixed effects, random effects, and mixed), ANOVA derived methods (e.g.
ANCOVA, Nested designs), post-hoc comparisons and corrections, diagnostics and remedial
measures, Understanding and interpretation of instruments data sheets. Future trends in
industrial measurement systems.
Suggested Readings:
1. Handbook and Analytical instruments, Khandpur, TMH.
2. Industrial Instrumentation and Control, S.K. Singh, TMH.
3. Industrial Instrumentation, K. Krishnamurty, New Age International.
4. Principles of Instrumental Analysis, Skoog, Holler and Nieman, Thomson.
5. Instrumental Methods of Analysis, Ewing G.W., McGraw-Hill.
6. Instrumental Methods of Analysis’, Willard, Merrit, Dean, Seattle, CBS Publishing and
Distribution.

7. Process Measurement and Analysis, Liptak B.G., 4th Edition, Chilton Book Company, Radnor,
Pennsylvania.
ICICC20 Digital Signal Processing 4 L-T-P: 3-1-0 Nil

CO 1. To learn time domain analysis of the discrete time systems.
CO 2. To analyse the fundamentals and applications of spectrum analysis and frequency
domain analysis.
CO 3. To design and analyze FIR digital filters.
CO 4. To design and analyze IIR digital filters.
CO 5. To design and implement DSP using LABVIEW environment.
Unit No. Topics
UNIT 1 Discrete Time Signals and Systems : Introduction, discrete time sequences, Examples of
sequences – step, impulse, ramp, sine and exponential, properties of signals and sequences,
interpolation and decimation, linear time invariant systems and their properties, stability,
causality, system responses, convolution and correlation, sum, system description as LCCDE,
solutions of system using difference equations, ZIR, ZSR, natural and forced responses. Z-
Transform : Introduction, Z-transform and its properties – convolution – inverse Z-transform,
system transfer function, system responses and computation of ZIR, ZSR, natural and forced
responses, other applications in DSP.
UNIT 2 DFT and Fast Fourier Transform (FFT) : Introduction, Sampling, Fourier transform, Discrete
Fourier series – properties, frequency domain analysis – linear convolution using discrete
Fourier transform, spectral estimation, leakage, zero padding, windowing, Windows:
Rectangular, Hamming and Kaiser, Introduction to Radix 2 FFT’s – decimation in time FFT
algorithm – decimation in frequency FFT algorithm – computing inverse DFT using FFT.
UNIT 3 Finite Impulse Response (FIR) Filters: Introduction, Amplitude and phase response of FIR
filters, linear phase filters, windowing technique for the design of linear phase FIR filters.
Windows: Rectangular, Hamming and Kaiser. Frequency sampling technique, introduction to
optimal filter.
UNIT 4 Infinite Impulse Response (IIR) Filters: Introduction, Properties of IIR digital filters, design of IIR
filters from continuous time filters, impulse invariance and bilinear transformation techniques.
Finite word length effects: Elementary ideas of the finite word length effects in digital filters.
UNIT 5 Introduction to designs of notch filters. Introduction to time and frequency analysis. DSP
implementation aspects for DSP processors and computers with LabVIEW/MATLAB.
Suggested Readings:
1. Digital Signal Processing, Ashok Ambardar, Cengage.
2. Digital Signal Processing, Li-Tan, Wiley.
3. Digital Signal Processing, S. K. Mitra. TMH.
4. Digital Signal Processing, Schaums series, TMH.
5. Digital Signal Processing, Oppenheim and Schafer, Prentice Hall, New Delhi.
6. Digital Signal Processing-Principles, Algorithms and Applications, Proakis andManolakis,Pearson
4.3.7 SYLLABI OF PROGRAM CORE COURSES : VII & VIII SEMESTER

ICICC21 Training --- 0L-0T-4P

CO 1. To get a good exposure to a domain of interest.
CO 2. To get a good domain and experience to various industrial activities.
Students of B. Tech Instrumentation & Control Engineering will undergo at least 6-week training in the
industry or research organization/reputed institute after VI semester. This will be evaluated as a VII
semester course during end-semester examination. Industrial training/internship means work experience
that is relevant for competence enhancement before graduation in Instrumentation & Control Engineering.
ICICC22 Project-I 0L-0T-8P ----

CO 1. To identify the topic, objectives and methodology to carry out the project work.
CO 2. To develop aptitude for research and independent learning.
CO 3. To demonstrate the ability to conduct literature survey and select unresolved problems in the
relevant filed.
CO 4. To gain the expertise of the tools required for the design and development of the project.
CO 5. To develop the ability to write good technical report, to make oral presentation of the work, and
to publish the work in reputed conference/journals.
The project in the seventh and eighth semesters offer the opportunity to apply and extend knowledge acquired
during the B. Tech. program in Instrumentation & Control Engineering. The project can be analytical work,
simulation, hardware design or a combination of these in the emerging areas of Instrumentation & Control
Engineering under the supervision of a faculty from the Department of Instrumentation & Control
Engineering. Students will be required to perform a literature search to review current knowledge and
developments in the chosen technical area; and undertake detailed technical work in the chosen area using
one or more of the following:
▪ Analytical models
▪ Computer simulations
▪ Hardware implementation
Project will be carried out in the group of maximum 4 students. The project group has to give two
presentations for the evaluation of the project work during the seventh semester. The first presentation shall
be conducted in the middle of the semester. By the time of the first evaluation, students are expected to
complete the literature review, have a clear idea of the work to be done, and have learnt the
analytical/software/ hardware tools. The second presentation shall be conducted at the end of the semester
(end semester examination). By the time of the second evaluation, they are expected to present the results in
the chosen topic, and write a technical report of the study. A student will be awarded the grade in the project
work as per the norms issued by the University from time-to-time.
ICICC23 Project-II None 0L-0T-16P

CO 1. To identify the topic, objectives and methodology to carry out the project work.
CO 2. To develop aptitude for research and independent learning.
CO 3. To demonstrate the ability to conduct literature survey and select unresolved problems in the
relevant filed.
CO 4. To gain the expertise of the tools required for the design and development of the project.
CO 5. To develop the ability to write good technical report, to make oral presentation of the work, and
to publish the work in reputed conference/journals.
Project-II may be the continuation of the Project-I or it may be the new idea developed by the project group.
Students will be required to undertake detailed technical work in the chosen area using one or more of the
following:
▪ Analytical models
▪ Computer simulations
▪ Hardware implementation
Project will be carried out in the group of maximum 4 students. The project group has to give two
presentations for the evaluation of the project work during the seventh semester. The first presentation shall
be conducted in the middle of the semester. The second presentation shall be conducted at the end of the
semester (end semester examination). By the time of the second evaluation, they are expected to present the
results in the chosen topic, and write a technical report of the study.A student will be awarded the grade in
the project work as per the norms issued by the University from time-to-time.
4.4 DEPARTMENT ELECTIVE COURSES
4.4.1 LIST OF DEPARTMENT ELECTIVES

B.Tech. SEMESTER V (Discipline Centric Elective Courses)
Course Course L T P Credits Pre-Requisites Course Equivalent

Code Course Codes
Code Name
3 1 0 4 Sensors and
ICICC13 Nil
ICICE01 Smart Sensors Transducers
ICICE02 Industrial Control 3 1 0 4
ICICC11 Control Systems- I Nil
Systems
Data Acquisition and 3 0 2 4

Hardware Interfaces
ICICE03 ICICC03 Signal and Systems Nil
for Bio-Signals
Measurement
ICICE04 Biomedical 3 0 2 4
NIL NIL Nil
Instrumentation
ICICE05 Biomechanics 3 1 0 4 NIL NIL Nil
MINOR -3: Intelligent Control

ICICE06 Nonlinear Systems 3 1 0 4
ICICC11 Control Systems- I Nil
and Control
ICICE07 Discrete Time 3 0 2 4
NIL NIL Nil
Systems
ICICE08 Large Scale Systems 3 1 0 4
ICICC11 Control Systems- I NIL
B.Tech. SEMESTER VI (Discipline Centric Elective Courses)
Course Course L T P Credits Pre-Requisites Course Equivalent

Code Course
Codes
Code Name
ICICE20 Control and 4 ---
Navigation in 3 1 0 ICICC17 Robotics
Robotics
ICICE21 Drives for Robotic 4 ICICC11 Control Systems- I ---
3 1 0
systems
ICICE22 Modelling Simulation 4 ICICC11 Control Systems- I ---
and Control of
3 0 2
Physiological
Systems
ICICE23 Sensory 4 NIL ---
And Motor 3 1 0
Rehabilitation
ICICE24 Biomedical Signal 4 ICICC03 Signal and Systems ---
3 0 2
Processing
ICICE25 Advanced Sensing 4 NIL ---
3 1 0
Techniques
MINOR -3: Intelligent Control
ICICE26 Modeling and ICICC11 Control Systems- I ---
Simulation of 3 0 2 4
Dynamic Systems
ICICE27 Intelligent Control 3 0 2 4 ICICC11 Control Systems- I ---
ICICE28 Optimization 4 ICICC11 Control Systems- I ---
3 0 2
Algorithms
ICICE29 Advanced Process 4 ICICC15 Process Dynamics ---
Control 3 0 2 &Control
B.Tech. SEMESTER VII/VIII (Discipline Centric Elective Courses)
Equivalent
Pre-Requisites Course
Course Codes
Course
Course L T P Credits
Code
Code Name

Intelligent 4
ICICE50 Autonomous 3 0 2 ICICC17 Robotics ---
systems
Robot Analysis and 4 ICICC11 Control Systems- I
ICICE51 3 1 0 ---
Control
Machine learning 4
Applications in ICICC17, Robotics, Control
ICICE52 3 1 0
Robotics ICICC11 Systems- I
---
Robotics Vision 4 ICICC13 Sensors and
ICICE53 3 1 0 ---
Transducers
Optical Fibre and

ICICE54 3 1 0 4 NIL ---
Laser in Medicine
ICICE55 Biomedical Imaging 3 1 0 4 NIL ---
Machine Learning
ICICE56 3 0 2 4 NIL ---
for Healthcare
Biometric
ICICE57 Technology and 3 1 0 4 NIL ---
Security Systems
BioMEMS and Lab-
ICICE58 3 1 0 4 NIL ---
on-Chip
Brain Computer
ICICE59 3 0 2 4 NIL ---
Interfacing
Medical Image
ICICE60 3 0 2 4 NIL ---
Analysis
Multivariable ICICC11 Control Systems- I

ICICE61 Control Theory and 3 0 2 4
Applications ---
Adaptive Learning ICICC11 Control Systems- I
ICICE62 3 1 0 4
and Control ---
Classical
ICICE63 Optimization 3 1 0 4 NIL
Techniques ---
ICICE64 Robust Control 3 0 2 4 NIL ---
ICICC11, Control Systems- I, II ---
ICICC14
Model Predictive
ICICE65 3 0 2 4 Modern Control
Control
Theory
Missile Guidance ICICC11 Control Systems- I ---

ICICE66 3 1 0 4
and Control Systems
Machine Learning ---
ICICE67 Applications in 3 1 0 4 NIL
Control Systems
ICICE68 Mechatronics 3 0 2 4 NIL ---

4.4.2 SYLLABI OF DEPARTMENT ELECTIVES COURSES : V SEMESTER
MINOR-I (ROBOTICS AND ARTIFICIAL INTELLIGENCE)
ICICE01 Smart Sensors 4 L-T-P: 3-1-0 Sensors and Transducers

CO 1. The basics and the latest technology of sensors used in robotics.
CO 2. To study different sensing variables implemented for the application of robotics.
CO 3. To understand the working principle and modelling of the sensors.
CO 4. To study the application of intelligent sensors in robotics.
CO 5. To study the multi-sensor controlled Robot Assembly.
Unit No. Topics
UNIT 1 Basics of Smart sensors: An Introduction to sensors and transducers, History and definitions,
Smart Sensing, AI sensing, Need of sensors in Robotics, Introduction to Mechanical-Electronic
transitions in sensing, nature of sensors, overview of smart
sensing and control systems.
UNIT 2 Smart Sensors in Robotics: Position sensors - optical, non-optical, Velocity sensors,
Accelerometers, Proximity Sensors - Contact, non-contact, Range Sensing, touch and
Slip Sensors, Force and Torque Sensors
UNIT 3 Miscellaneous Sensors in Robotics: Different sensing variables - smell, Heat or Temperature,
Humidity, Light, Speech or Voice recognition Systems, Telepresence
and related technologies, 2D and 3D LiDAR.
UNIT 4 Vision Sensors in Robotics: Introduction to vision sensor, Robot Control through Vision
sensors, Robot vision locating position, Robot guidance with vision system,
End effectors camera Sensor, Kinect Sensor.
UNIT 5 Multi-sensor Controlled Robot Assembly: Control Computer, Vision Sensor
modules, Software Structure, Vision Sensor software, Handling, Gripper and Gripping methods,
accuracy - A Case study.
Suggested Readings:
Text Book:
1. Paul W Chapman, "Smart Sensors", an Independent Learning Module Series
2. Richard D. Klafer, Thomas a. Chmielewski; Michael Negin, "Robotic Engineering - An integrated
approach", Prentice Hall of India Private Limited
Recommended References:
1. K.S. Fu, R.C. Gonzalez, C.S.G. Lee, "Robotics - Control Sensing, Vision and Intelligence", McGraw Hill
International Editions, 1987
2. Mikell P. Groover, Mitchell Weiss, Roger N Nagel, Nicholas G. Odrey, "Industrial Robotics - Technology,
Programming and Applications", McGraw Hill, International Editions, 1986
3. SabricSoloman, "Sensors and Control Systems in Manufacturing", McGraw Hill, International
Editions, 1994
4. Julian W Gardner, Micro Sensor MEMS and Smart Devices, John Wiley & Sons, 2001
5. Bijay K. Ghosh, Ning Xi, T.J. Tarn, Control in Robotics and Automation Sensor - Based integration,
Academic Press, 1999

6. K.S. Fu, R.C. Gonzalez, C.S.G. Lee, Robotics Control, Sensing Vision and Intelligence, McGraw Hill Book
Company, 1987
7. Siegwart, R., Nourbakhsh, I.R. and Scaramuzza, D., 2011. Introduction to autonomous mobile robots.
MIT press.
Siciliano, B. and Khatib, O. eds., 2016. Springer handbook of robotics. Springer.
ICICE02 Industrial Control 4 L-T-P: 3-1-0 Control Systems

Systems
CO 1. To know all the industrial processes and demonstrate their knowledge in designing the control
loops for these processes.
CO 2. To understand the role of stability analysis in control system for the controlling and designing
purpose.
CO 3. To analyze the importance of industrial control systems
CO 4. To investigate the Supervisory control and data acquisition (SCADA)
CO 5. To study the programming of programmable logic control systems.
Unit No. Topics
UNIT 1 Review of control systems with appropriate industrial system examples for open- loop and closed-
loop control systems. Case studies. Application of On-Off controls, Proportional control, Integral
control, Derivative control, Combinations of these controls and finally the PID controller.
UNIT 2 Modeling of first order, second order, and higher order systems with examples from industrial
systems. Open-loop and closed-loop transient response of these systems incorporating controllers
and the effect of time delay. linearization of nonlinear system, Interacting control systems and
realization of decoupled control systems, stability of industrial controls. An overview of various
stability techniques.
UNIT 3 Introduction to advanced industrial control systems: Application of Ratio control, split range
control, cascade control, feed forward control, Selector control. Industrial control using digital
computers: Digital Computer Control Loops, from continuous to discrete time systems, Design of
Digital Feedback Controllers.
UNIT 4 Supervisory control and data acquisition (SCADA) as applied to industrial systems with
examples. Direct digital control, Distributed Control System (DCS) and Modern Industrial
Communication protocols. Case studies such as Delhi Metro, Power plants and Distribution of
electricity etc.
UNIT 5 Programmable logic control systems: introduction to sequence or logic control and programmable
logic controllers, the software environment and programming of PLCs, formal modeling of
sequence control specifications. Programming, programming of PLCs: Physical and programmed
ladder diagram, the PLC hardware environment.
Suggested Readings:
1. Chemical Process control: An introduction to theory and practice, George Stephanopoulos PHI
2. Process control instrumentation technology. Curtis d. Johnson PHI
3. Computer based industrial control: Krishnakant PHI
4. Instrument Engineers' Handbook, Fourth Edition, Volume Two- Process Control and Optimization by Liptak
MINOR-II BIOMEDICAL INSTRUMENTATION

ICICE03 Data Acquisition and 4 L-T-P: 3-0-2 Signal and systems

Hardware Interfaces for
Bio-Signals Measurement
CO 1. To introduce students with basics of computer interfacing and provide comprehensive
understanding of signal conditioning, signal conversion, data acquisition, signal processing,
transmission and analysis.
CO 2. To teach students the applicability of various A/D and D/A boards.
CO 3. To acquaint students with various data acquisition methods and Interface Standards, data
loggers and PC buses.
CO 4. To acquaint students with Virtual instrumentation for testing, control and designing of sensor
systems using LabView.
CO 5. To introduce students with applications of soft computing techniques and future trends in
biosignal measurement systems.
Unit No. Topics
UNIT 1 Biopotential Measurement: Biopotentials and bioelectric currents, Nature of Bio Electricity:
Bioelectric Currents, Nernst Potential, Diffusion Potential, Action potential, Detection of Bio
electric events, bio-electrode and electrode-skin interface, Need for bioamplifiers and biosignal
Conditioning.
UNIT 2 Design of Signal Conditioning Circuit for bio signals: Operational Amplifiers Basic opamps
parameters, Ideal and practical opamp, application of opamp in biomedicine- Adder, subtractor,
analog integrator, differentiator, preamplifiers, Transimpedance circuits. Active filters and Medical
Isolation Amplifiers, Aliasing and sampling, Analog to Digital, Digital to Analog conversion.
UNIT 3 Interface Standards and PC buses: RS232, RS422, RS485, GPIB, USB, Firewire; Backplane buses
- PCI, PCI-Express, PXI, PXI – Express, VME, VXI; Ethernet – TCP/IP protocols.
UNIT 4 Virtual Instrumentation: Virtual instrument and traditional instrument, Hardware and software
for virtual instrumentation, Virtual instrumentation for test, control, and design, Graphical
system design, Graphical and textual programming.
Data Flow Programming Techniques: Graphical programming in data flow, comparison with
conventional programming, popular data flow and VI software packages. Building a VI front panel
and block diagram, sub VI, for and while loops, case and sequence structure, formula nodes, local
and global , string and file I/O, array and clusters, charts and graphs, attributes nodes. Use of
Measurement Analysis Tools: Measurement of Max., Min., Peak-Peak voltage, Mathematical tools,
time period of a signal, power spectrum and logging Fourier transform, Correlation methods,
windowing and filtering
UNIT 5 Applications of soft computing techniques in bio-signals measurement systems. Future trends
in bio signal measurement systems.
Suggested Readings:
1. Ramon Pallas-Areny and John G Webster, Sensors and Signal Conditioning, 2012, 2nd ed., Wiley
India Pvt. Ltd.
2. John Park and Steve Mackay, Practical Data acquisition for Instrumentation and Control, 2011, 1st
ed., Newness publishers, Oxford, UK.
3. Johnson G.and Jenningi R, ”Labview graphical programming “3rd ed. McGraw Hill (2002).
4. Maurizio Di Paolo Emilio, Data Acquisition systems- from fundamentals to Applied Design, 2013, 1st ed.,
Springer, New York.
Robert H King, Introduction to Data Acquisition with LabVIEW, 2012, 2nd ed., McGraw Hill, New York.

ICICE04 Biomedical 4 L-T-P: 3-0-2 NIL

Instrumentation
CO 1. Understand the human anatomy and physiology.
CO 2. Measure the biomedical signals of the human body.
CO 3. Diagnose the human body by referring to EEG, ECG, EMG signals.
CO 4. Understand about the human respiratory system and the measurement techniques.
CO 5. Gain knowledge about the electrical activity in the neuromuscular system and brain.
Unit No. Topics
UNIT 1 Physiological Systems of the Body: Brief description of musculoskeletal, endocrine,

gastrointestinal, nervous, circulatory and respiratory systems; the body as a control system; the
nature of bioelectricity, action events of nerve; the origin of biopotentials.
UNIT 2 Bio potential Electrodes: Signal acquisition; electrodes for biophysical sensing; electrode-
electrolyte interface; skin preparation, electrode-skin interface and motion artifact; surface
electrodes; microelectrodes; Internal electrodes; electrode arrays; electrodes for electric
stimulation of tissues; electrode polarization, electrical interference problems in biopotential
measurement; electrical safety.
UNIT 3 The Heart System and its Measurements: The heart; electro conduction system of the heart;
the ECG waveform; the standard lead system; the ECG preamplifier; ECG machines; Cardiac
monitors; Transient protection; common-mode and other interference-reduction circuits.
Physiological Pressure and other Cardiovascular Measurements and Devices: Physiological
pressure; blood pressure measurements; sphygmomanometer; oscillometric and ultrasonic
methods; practical problems in pressure monitoring; cardiac output measurement;
plethysmography; blood flow measurements; phonocardiography; vector cardiography;
defibrillators; pacemakers; heart lung machines.
UNIT 4 The Human Respiratory System and Its Measurement: Respiratory anatomy (lungs,
conducting airways, alveoli, pulmonary circulation, respiratory muscles); lung volumes and gas
exchange, mechanics of breathing; parameters of respiration; regulation of respiration; unbalanced
and diseased states; environmental threats to the respiratory system; respiratory system
measurements; respiratory transducers and instruments; spirometry, body plethysmography.
UNIT 5 Measurement of Electrical activity in Neuromuscular System and Brain: Neuron potential;
muscle potential; electromyography (EMG); electroencephalography (EEG); EEG electrodes and
the 10-20 system; EEG amplitude and frequency bands; the EEG system – simplified block
diagram; preamplifiers and EEG system specifications; EEG diagnostic uses and sleep patterns;
visual and auditory evoked potential recordings; EEG system artifacts.
Suggested Readings:
1. Carr Joseph J. and Brown John M., “Introduction to Biomedical Equipment Technology”, 4th Ed., New
Delhi: Pearson Education India
2. Webster John G (Ed.), “Medical Instrumentation, Application and Design”, 3rd ed., Singapore: John Wiley
& Sons (Asia) Pte. Ltd.
3. Webster J G (ed.), “Encyclopedia of Medical Devices and Instrumentation”, Vols. 1-4, New York: Wiley
4. Bronzino J D (ed.), “The Biomedical Engineering Handbook”, FL: CRC Press
Khandpur R S, “Handbook on Biomedical Instrumentation”, TMH, 13th reprint, New Delhi

ICICE05 Biomechanics 4 L-T-P: 3-1-0 NIL

CO 1. Introduce the basic concepts of mechanics in the human physiological system.
CO 2. To understand various joint structures and its functions.
CO 3. To understand the mechanism of walking and factors affecting it.
CO 4. Introduction to basic structural analysis of medical implants.
CO 5. Introduce the various biomedical applications of finite element modeling.
Unit No. Topics
UNIT 1 Basic concepts in Biomechanics: Review of the principles of mechanics, Kinetics, Kinematics
Vector mechanics- Resultant forces of Coplanar & Non- coplanar Equilibrium of coplanar forces
UNIT 2 Joint Structure and Functions: Outline objectives, joint design, joint categories, joint functions,
materials in human joints, general effects of disease injury and immobilization.
Knee Joint: Outline , objectives, structure of the Tibio femoral joint, patello femoral joint, knee
joint motion – flexion ,extension, rotation, Arthro-kinematics, stabilization and its contributors,
positioning of the knee joints, locking/unlocking mechanism, Q- angle
UNIT 3 Posture and Gait: Outline, objectives, External and internal forces, optimal posture, analysis of
posture – effects of age, pregnancy, occupation, and recreation on posture. Introduction to Gait,
general features, kinetics/kinematics, energy requirements, Gait types – stair and running gaits.
Determinants of Gait, effects of age, disease , injury and mal-alignment- gait analysis, foot
pressure studies
UNIT 4 Design of Medical Implants: Importance of medical Devices, World Scenario, Design process &
factors, Micro Engineering, Prototyping, Software based design of implants – MIMICS,
CAD/CAM, Material Analysis, Finite Element Analysis
UNIT 5 Biomedical Applications of Finite Element Modeling: Introduction, Analysis of Prosthetic joint
systems – Knee – Analysis of the individual components of an Artificial Knee and assembly
analysis, Stresses in the implant, cement and the bone Knee and Hip.
Suggested Readings:
1. Alexander R Mc Neill, Biomechanics, Chapman and Hall, 1975
2. D N Ghista, Biomechanics of Medical Devices, Macel Dekker, 1982
3. A Z Tohen and C T Thomas, Manual of Mechanical Orthopaedics
4. D.N. Ghista and Roaf, Orthopaedic Mechanics, Academic Press
5. V.C. Mow and W. C. Hayes, Basic Orthopedic Biomechanics, Lippincott, Raven Publishers
6. Pamela. K. Levangie and Cynthia C. Norkin. Joint Structure and Function: A
Comprehensive Analysis.
7. Y.C.Fung, Biomechanics: Motion, Flow, Stress, and Growth, Springer, 1998.
MINOR-III: INTELLIGENT CONTROL
ICICE06 Nonlinear Systems and 4 L-T-P: 3-1-0 Control Systems

Control
CO 1. To study the concepts of common nonlinearities.

CO 2. Learning basic characteristics of nonlinear systems.
CO 3. Apply phase plane analysis for linear and nonlinear system.
CO 4. Analyse the concepts and techniques for stability analysis.
CO 5. Investigate the design aspect of nonlinear control
Unit No. Topics
UNIT 1 Introduction to linear and nonlinear control system: Definitions, examples and features of
nonlinear control system, methods of linearization, jump resonance in nonlinear system,
common physical nonlinearities such as friction, backlash, dead zone, relay, saturation and
hysteresis nonlinearities etc.
UNIT 2 Describing function method of Nonlinear analysis:
Types of nonlinear elements and their input-output characteristics, Describing function for
common nonlinear elements, stability analysis of nonlinear system using describing functions
UNIT 3 Phase plane analysis: Phase Plane Analysis of Linear and Nonlinear Systems concept of phase
plane, autonomous system and singular points, nodal point, saddle point.
UNIT 4 Isocline method of phase plane analysis, Delta methods, types of nonlinear system stability,
limit cycle and their types, Benediction theorem.
UNIT 5 Liapunov method of nonlinear system analysis: Direct method for LTI systems, Krasovski’s
method of nonlinear system stability, Variable gradient method, Absolute stability criteria for
nonlinear system, Popov method of nonlinear system stability analysis.
UNIT 6 Nonlinear Control Systems Design: Feedback Linearization, Intuitive Concepts,
Mathematical Tools, Input-State Linearization of SISO Systems, Input-Output Linearization
of SISO Systems, Multi-Input Systems, Sliding Mode Control, Sliding Surfaces, Continuous
Approximations of Switching Control Laws.
Suggested Readings:
1. H.K. Khalil, Nonlinear systems, Prentice Hall, 3rdEdn., 2002.
2. M. Vidyasagar, Nonlinear systems analysis, 2ndEdn., Society of Industrial and Applied
Mathematics, 2002.
3. Applied nonlinear control by J. J. Slotine
4. Control System Engineering by I. J. Nagrath and M. Gopal
5. Nonlinear analysis by Cunningham

Course No. Title of the Course Credit Course Structure Pre-Requisite
ICICE07 Discrete time systems 4 L-T-P: 3-0-2 Nil

1. Gain familiarity with sample theory, z-transform, and other analysis tools.
2. To analyse the time response of discrete systems.
3. To decide the system stability in discrete domain.
4. Frequency response analysis of discrete systems.
5. Learning to design digital control systems.
COURSE CONTENT: Lecture
(in Hrs.)
UNIT I Introduction to Digital Control, Discrete time System Representation, Sampling

and Reconstruction, Modeling discrete time systems by pulse transfer
function. Revisiting Z-transform, Mapping of S-Plane to Z-Plane, pulse transfer
function of closed loop systems
UNIT II Time-response of discrete systems, second order systems, Discrete PID

Controller and its application
UNIT III Stability analysis of discrete time systems, Jury stability test, stability analysis
using bilinear transformation, Root locus method
UNIT IV Frequency Response, Nyquist criteria and Sampling Theorem, Bode Plot and
determination of frequency response parameters.
UNIT V Introduction to State Space in discrete time domain, Various Canonical forms,
State equation and its solution, Controllabilty and Observability, Pole-
placement by state feedback, Full order and reduced order observer.
SUGGESTED READINGS:
1. M. Gopal, Digital Control Engineering, Wiley Eastern, 1988.
2. Katsuhiko Ogata, Discrete-time control systems, NJ: Prentice-Hall , Englewood Cliffs, 1995
3. M. Gopal, Digital Control and State Variable Methods, TMH , 2003
4. G.F. Franklin, J. D. Powell, M.L. Workman, Digital Control of Dynamic Systems, Pearson ,
2008 5.Benjamin C. Kuo, Digital Control Systems, Oxford University Press , 2012
ICICE08 Large Scale Systems 4 L-T-P: 3-1-0 Control Systems

CO 1. Model simplification techniques in the analysis and simulation of large-scale systems
CO 2. Procedures in assessing systems behavior
CO 3. Decentralized and hierarchical control design methods.
CO 4. Low order controller for effective control of high order systems.

CO 5. MATLAB based analysis of high order systems
Unit No. Topics
UNIT 1 Introduction to Large Scale Systems

Introduction to Large Scale Systems, Hierarchical structures, Decentralized control, Large
Scale System Modeling.
UNIT 2 L.S.S. Modelling - Frequency Domain
Introduction, Moment matching, Pade approximation for SISO systems, Pade
approximation for Multivariable systems, Routh approximation using (Alpha- Beta)
Parameters, Routh approximation using (Gamma-- Delta) Parameters, continued fraction
method, error minimization methods, mixed methods and unstable systems, Stable Pade
approximation based on Interlacing Property.
UNIT 3 L.S.S. Modelling - Time Domain
Aggregation of control systems, determination of aggregation matrix, modal aggregation,
aggregation by continued fraction, perturbed method, time scale separation , fast and
slow sub systems, Balanced Realization Method
UNIT 4 Low order Controller design.
Approaches to the design of low order controllers, controller and plant reduction via
frequency weighted Approximation, Frequency weighted balanced Truncation.
UNIT 5 Analysis of Large-scale systems
Based on frequency domain and time domain using MATLAB
Suggested Readings:
1. 'Large Scale Systems Modelling and Control', Mohammad Jamshidi,1989, North Hollard
(Series in systems science and engineering, vol.9).
2. 'Large Scale Systems Modelling', Magdi S. Mohamoud and Madan G. Singh, Pergamon Press
(International series on Systems and Control), 1981.
3. Model Reduction for Control System Design Goro Obinata &B D O Anderson Springer
4.4.3 SYLLABI OF DEPARTMENT ELECTIVES COURSES : VI SEMESTER
MINOR-I: (ROBOTICS AND ARTIFICIAL INTELLIGENCE)
ICICE20 Control and 4 L-T-P: 3-1-0 Robotics

Navigation in
Robotics
CO 1. To define the mapping, localization, and path planning
CO 2. To describe the SLAM problem
CO 3. To analyze the uncertainties in mapping, localization, and path planning
CO 4. To design the path optimization filters to remove the uncertainties
CO 5. To integrate the optimization filters with mobile robot for the autonomous navigation
Unit No. Topics

UNIT 1 Introduction to Autonomous robots, various components of autonomous robot, classification,
Architecture and applications, Simultaneous Localization and Mapping, mathematical
modelling of SLAM, types of SLAM. Uncertainty in SLAM
UNIT 2 Introduction to Mapping, Metrical maps, Grid maps, Sector maps, Hybrid Maps Challenges of
Localization, Map Representation, Probabilistic Map based Localization, Monte Carlo localization,
Landmark based navigation, globally unique localization, Positioning beacon systems, Route-
based localization.
UNIT 3 Introduction to the filters, Mathematical modelling of filters, Bayes filter, Kalman Filter, Extended
Kalman Filter, Information Filter, Histogram Filter and Particle Filter, Implementation of Particle
filter for the localization of mobile robot with MATLAB Simulation.
UNIT 4 Introduction, path planning, Global path planning, local path planning overview-road map path
planning-cell decomposition path planning potential field path planning-obstacle avoidance-
case studies, Generationof path with various path planning techniques in MATLAB.
UNIT 5 Motion planning techniques, Path planning controlling techniques, Predictive control
approaches, Path optimization techniques, Case study on trajectory optimization for mobile
robotics in MATLAB.
Suggested Readings:
1. Roland Siegwart, Illah Reza Nourbakhsh, Davide Scaramuzza, Introduction to Autonomous Mobile
Robots, Bradford Company Scituate, USA, 2011.
2. Industrial robotic technology-programming and application by M.P. Groover et al, 2008, McGrawhill
3. Sebastian Thrun, Wolfram Burgard, Dieter Fox, ―Probabilistic Robotics‖, MIT Press, 2005.
4. Karsten Berns, Ewald Von Puttkamer, ―Autonomous Land Vehicles Steps towards Service Robots,
Vieweg Teubner Springer, 2009.
5. Howie Choset, Kevin Lynch Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia Kavraki, and
Sebastian Thrun, ―Principles of Robot Motion-Theory, Algorithms, and Implementation‖, MIT Press,
Cambridge, 2005.
6. Bruno Siciliano, Oussama Khatib, Springer Hand book of Robotics, Springer, 2008.
7. Murphy, R.R., 2019. Introduction to AI robotics. MIT press.
ICICE21 Drives for Robotic systems 4 L-T-P: 3-1-0 Control Systems-I

CO 1. To understand the various types of drive systems used in robotics.
CO 2. To apply the various control techniques in drive systems used in robotics
CO 3. To analyze the control techniques used in drive systems
CO 4. To develop servo systems for robotics.
CO 5. To implement servo systems for various robot applications
Unit No. Topics
UNIT 1 ROBOT DRIVE MECHANISM: Objectives, motivation, open loop control, closed loop control
with velocity and position feedback, Types of drive systems. Functions of drive system. Lead
Screws, Ball Screws, Chain & linkage drives, Belt drives, Gear drives, Precision gear boxes,
Harmonic drives, Cyclo speed reducers.
UNIT 2 HYDRAULIC DRIVES: Introduction, Requirements, Hydraulic piston and transfer valve,
hydraulic circuit incorporating control amplifier, P, PI, PID controllers, hydraulic fluid
considerations, hydraulic actuators Rotary and linear actuators. Hydraulic components in

robots.
UNIT 3 PNEUMATIC DRIVES: Introduction, Advantages, pistons-Linear Pistons, Rotary pistons, Motors-
Flapper motor, Geared motor, Components used in pneumatic control. Pneumatic proportional
controller, pneumatically controlled prismatic joint, PI, PID.
UNIT 4 ELECTRIC DRIVES: Introduction, Types, DC electric motor, AC electric motor, stepper motors,
half step mode operation, micro step mode. Types of stepper motors, Direct drive actuator.
UNIT 5 SERVO SYSTEMS FOR ROBOT CONTROL: General aspects of robot control. Basic control
techniques, mathematical modeling of robot servos, error responses and steady state errors in
robot servos, feedback and feed forward compensations, hydraulic position servo, computer-
controlled servo system for robot applications, selection of robot drive systems.
Suggested Readings:
1. Francis N-Nagy Andras Siegler, “Engineering Foundation of Robotics”, Prentice Hall Inc., 1987.
2. Richard D. Klafter, Thomas .A, Chri Elewski, Michael Negin, “Robotics Engineering an Integrated
Approach”, Phi Learning., 2009.
3. Mikell P Groover & Nicholas G Odrey, Mitchel Weiss, Roger N Nagel, Ashish Dutta, “Industrial
Robotics, Technology programming and Applications”, Tata McGraw-Hill
Education, 2012.
4. Bernard Hodges, “Industrial Robotics”, Second Edition, Jaico Publishing house, 1993.
5. Robert J. Schilling, “Fundamentals of Robotics Analysis and Control”, PHI Learning. 2009.
6. Tsuneo Yohikwa, “Foundations of Robotics Analysis and Control”, MIT Press. 2003.
7. John J. Craig, “Introduction to Robotics Mechanics and Control”, Third Edition, Pearson, 2008.
Modern control Engineering, by Ogata, Pearson Publication.
ICICE22 Modelling Simulation 4 L-T-P: 3-0-2 ICICC11(Control Systems-I)

and Control of
Physiological Systems
Course Objectives:
1. To understand basic system concepts and differences between engineering and physiological control
systems.
2. To understand students with different mathematical techniques applied in analysing a system and
various types of nonlinear modelling approaches.
3. To understand neuronal membrane dynamics and to understand the procedures for testing,
validation and interpretation of physiological models.
4. To understand the cardiovascular model and apply various modelling methods to multi input and
multi output systems.
5. To apply control system knowledge to physiological systems and apply optimization techniques
Unit No. Topics
UNIT 1 Introduction: Preliminary Considerations, Historical Background, Systems Analysis:

Fundamental Concepts, Physiological Control Systems Analysis: A Simple Example Differences
between Engineering and Physiological Control Systems.
UNIT 2 Static Analysis of Physiological Systems: Open-Loop versus Closed-Loop Systems,
Determination of the Steady-State Operating Point, Steady-State Analysis Regulation of
Cardiac Output, Closed-Loop Analysis: Heart and Systemic Circulation Combined, Regulation
of Glucose.
UNIT 3 Time-Domain Analysis of physiological Systems: Time domain analysis – Introduction to first
order and second order model -Respiratory mechanics – open loop and closed loop model of lung
mechanics – First order model – impulse and step response – Second order model – Impulse
response – undamped, under damped, critically damped, and over damped behaviour – Method
of obtaining step response from impulse response – Transient response descriptors – Model of
neuromuscular reflex motion – Transient response analysis using MATLAB.
UNIT 4 Frequency-Domain Analysis of physiological Control Systems: Frequency Response of a Model of
Circulatory Control, Frequency Response of Glucose-Insulin Regulation.
Stability Analysis of the Pupillary Light Reflex: Routh-Hurwitz Analysis, Nyquist Analysis, Model
of Cheyne-Stokes Breathing, Exchange in the Lungs, Transport Delays, Controller Responses
UNIT 5 Identification of Physiological Control Systems: Nonparametric and Parametric Identification
Methods Numerical Deconvolution, Least Squares Estimation, Estimation Using Correlation
Functions, Estimation in the Frequency Domain, Optimization Techniques
Optimization in Physiological Control: Optimization in Systems with Negative Feedback, Single-
Parameter Optimization: Control of Respiratory Frequency, Constrained Optimization: Airflow
Pattern, Constrained Optimization: Control of Aortic Flow Pulse, Adaptive Control of Physiological
Variables
Suggested Readings:
1. Michel C Khoo, Physiological Control Systems -Analysis, simulation and estimation, Prentice Hall of
India, 2001.
2. Joseph D, Bronzino, “The Biomedical Engineering Handbook”, CRC Press, 3rdedition, 2006. 3.
Christof Koch, “Biophysics of Computation”, Oxford University Press, 28-Oct-2004.
3. Modeling and Simulation in Medicine and the Life Sciences (2nd Edition), by F.C. Hoppensteadt and
C.S.Peskin, Springer (2002) ISBN: 0-387-95072-9.
4. John D. Enderle, “Model of Horizontal eye movements: Early models of saccades and smooth
pursuit”, Morgan & Claypool Publishers, 2010.
5. Suresh Devasahayam, “Signal Processing and Physiological Systems Modeling”, 2013, 1st edition,
Springer, New York.
6. Joseph D. Bronzino and Donald R. Peterson, “The Biomedical Engineering Handbook”, 2015,
4thedition, CRC Press, Florida.
ICICE23 SENSORY AND 4 L-T-P: 3-1-0 NIL

MOTOR
REHABILITATION
Course Objectives:
CO 1. To study the basics of Rehabilitation Engineering.
CO 2. To understand the different aspects of wheel chair.
CO 3. To apply the knowledge of the recent developments in the field of rehabilitation engineering.

CO 4. To analyse various assistive technologies for vision & hearing.
CO 5. To explore advanced applications of biomedical engineering in rehabilitation.
Unit No. Topics
UNIT 1 Introduction to Rehabilitation Engineering

Introduction to Rehabilitation Engineering - PHAATE model – Clinical practice of rehabilitation
Engineering - Low technology tools - Service delivery – Universal design - Design based on human
ability - Standards for assistive technology - Test for best design
UNIT 2 Wheel Chair
Seating Assessment - Interventions in seating system - Biological aspects of tissue health -
Support surface classification - Manual wheelchairs – Electric power wheelchairs - Power
assisted wheelchairs
- Wheel chair standards & tests - Wheel chair transportation
UNIT 3 Orthotic & Prosthetic Devices
Anatomy of upper & lower extremities - Classification of amputation types, Prosthesis
prescription - Components of upper limb prosthesis - Fabrication of prosthesis - Components of
lower limb prosthesis – Orthoses: Its need and types - Lower extremity- and upper extremity-
orthoses - Slints – materials used.
UNIT 4 Assistive Technology for Vision and Hearing
Anatomy of eye, Categories of visual impairment - Cortical & retinal implants - Auditory
Information Display - Blind mobility aids – reading writing & graphics access, Orientation &
navigation Aids
Anatomy of ear – hearing functional assessment - Surgical and non- surgical hearing aids -
Assistive technology solutions for hearing Tactile - Information Display
UNIT 5 Advanced Applications
Functional Electrical stimulation - Robots in rehabilitation - Rehabilitation in sports -Daily
living aids - Assistive technology for dyslexia - Computer & internet access for challenged
people - Neural engineering in rehabilitation engineering - Role of biomedical engineering in
rehabilitation
Suggested Readings:
TEXT BOOKS:
1. Rory A, Cooper, Hisaichi Ohnabe, Douglas A, Hodson, “An Introduction to Rehabilitation Engineering”,
CRC Press, First edition, 2006.
2. Dejan Popovic, Thomas Sinkjaer “Control of Movement for the Physically Disabled: Control for
Rehabilitation Technology” Springer Science & Business Media, 2012.
REFERENCE BOOKS:
1. Marion A Hersh, Michael A, Johnson, “Assistive Technology for Visually impaired and blind people”,
Springer Publications, First edition, 2008.
Suzanne Robitaille, “The illustrated guide to Assistive technology and devices–Tools and gadgets for
living independently”, Demos Health New York, First edition, 2010.
ICICE24 Biomedical Signal 04 L-T-P: 3-0-2 ICICC03

Processing (Signal & Systems)
Course Objectives:
CO 1. To understand the fundamentals of Biomedical Signal Processing.

CO 2. To design filter design and its biomedical applications.
CO 3. To Study the event detection methods in biological signals.
CO 4. To Analyze biosignals in frequency domain.
CO 5. To Study parametric modeling of biosignals.
Unit No. Topics
UNIT 1 Biomedical signal origin & dynamics (ECG), Biomedical signal origin & dynamics (EEG, EMG
etc. )
UNIT 2 Filtering for Removal of artifacts: Statistical Preliminaries, Time domain filtering
(Synchronized Averaging, Moving Average), Time domain filtering (Moving Average Filter to
Integration, Derivative-based operator), Digital filters - IIR and FIR - Notch filters. Optimal and
adaptive filters. Weiner filters - steepest descent algorithm - LMS adaptive algorithm
UNIT 3 Event Detection: Example events (viz. P, QRS and T wave in ECG), Derivative based
Approaches for QRS Detection Pan Tompkins Algorithm for QRS Detection, Dicrotic Notch
Detection Correlation Analysis of EEG Signal, Illustrations of problem with case studies,
Morphological Analysis of ECG, Correlation coefficient, The Minimum phase correspondent.
Signal length, Envelop Extraction, Amplitude demodulation, The Envelogram, Analysis of activity,
Root Mean Square value, Zero-crossing rate, Turns Count, Form factor.
UNIT 4 Frequency-domain Analysis: Periodogram, Averaged Periodogram, Blackman-Tukey Spectral
Estimator, Daniell's Spectral Estimator, Measures derived from PSD.
UNIT 5 Neurological signal processing: EEG analysis - Parametric modeling - Linear prediction theory;
Autoregressive (AR) method; Recursive estimation of AR parameters.
Suggested Readings:
TEXTBOOKS:
1. W. J. Tompkins, “Biomedical Digital Signal Processing”, Prentice Hall, 1993.
2. Eugene N Bruce, “Biomedical Signal Processing and Signal Modeling”, John Wiley & Son’s
publication, 2001.
3. Myer Kutz, “Biomedical Engineering & Design Handbook, Volume I”, McGraw Hill, 2009.
REFERENCE BOOKS:
1. D C Reddy, “Biomedical Signal Processing”, McGraw Hill, 2005.
2. Katarzyn J. Blinowska, JaroslawZygierewicz, “Practical Biomedical Signal Analysis Using
MATLAB”, 1st Edition, CRC Press, 2011.
3. Rangaraj M Rangayyan “Biomedical Signal Analysis – A case study approach” IEEE press series in
biomedical engineering, First Edition, 2002.
4. John G Proakis, Dimitris and G. Manolakis, “Digital Signal Processing Principles algorithms,
applications” PHI Third Edition. 2006
ICICE25 Advanced Sensing 4 L-T-P: 3-1-0 NIL

Techniques
COURSE OBJECTIVES:
CO 1. To understand the operation of various smart sensors and their application.
CO 2. To select an appropriate sensor for a given application.

CO 3. To Compare analogue and digital transducer
CO 4. To impart the importance of smart sensors, sensor interface standards for wearable device
applications.
CO 5. To analyse the wearable technology and its impact on social life
Unit No. Topics
UNIT 1 Introduction to smart sensors, Principles of operation, design approach, interface design,
configuration supports
UNIT 2 Introduction, Electro-chemical Cell, Cell potential, Sd. Hydrogen Electrode (SHE), Liquid
Junction and Other potentials, Polarization, Reference Electrodes, Sensor Electrodes,
ElectroCeramics in Gas Media. Analyzers for different gas and laboratory testing of chemicals
UNIT 3 Introduction of MEMS and NEMS sensor, Comparison between NEMS and MEMS sensor,
Fabrication and packaging issue in sensor design Thick film and thin film technique, biomedical
applications of MEM, Physical sensors. Bio sensor, Silicon sensor, RF Sensor.
UNIT 4 Introduction and role of Wearables, Attributes of Wearables, The Meta Wearables – Textiles and
clothing, Social Aspects: Interpretation of Aesthetics, Adoption of Innovation, On-Body
Interaction; Google Glass, health monitoring, Wearables: Challenges and Opportunities, Future
and Research Roadmap.
UNIT 5 Smart Sensors and Applications
Integrated and Smart sensors, IEEE 1451 standard & Transducer Electronic Datasheets (TEDs),
Overview of various smart sensors: Digital temperature sensor (DS1621, TMP36GZ), Humidity
sensor (DHT11, DHT22, FC28), IR sensor (FC51), Gas sensor (MQ2,MQ8), Pressure sensors
(BMP180), Accelerometers (ADXL335), etc; Structural health monitoring sensors, Introduction to
Flexible sensors.
Suggested Readings:
1. Sensors and Transducers, by D. Patranabis. 2nd Edition
2. B. C. Nakra, K.K. Choudhury, “Instrumentation, Measurement and Analysis” -3 rd Edition, Tata
McGraw, 2009
3. Jacob Fraden, “Hand Book of Modern Sensors: physics, Designs and Applications”, 3rd ed.,
Springer, 2010.
4. Edward Sazonov, Michael R Neuman, “Wearable Sensors: Fundamentals, Implementation and
5. Applications” Elsevier, 2014
Reference Books:
1. Sensor and signal conditioning by John G. Webster, Wiley Inter Science,2nd edition, 2008
2. Bentley, John P., “Principles of Measurement Systems”, 4thedition, Pearson/Prentice Hall, 2005.
3. Jon. S. Wilson, “Sensor Technology Hand Book”, Elsevier Inc., 2005.
Subhas C. Mukhopadhyay, “Wearable Electronics Sensors-For Safe and Healthy Living”, Springer
International Publishing, 2015.
ICICE26 MODELING AND 4 L-T-P: 3-0-2 Control Systems - I

SIMULATION OF
DYNAMIC SYSTEMS
CO 1. To understand system through state-space modeling.
CO 2. To evaluate dynamic performance of system.
CO 3. To learn the representation of discrete time system.
CO 4. To familiarize with simulation of stochastic system.
CO 5. To simulate models for analysis using tools, like, MATLAB, SIMULINK, etc.
Unit No. Topics
UNIT 1 Review of ordinary differential equations, State-space modeling of linear time invariant (LTI)
systems, Partial differential equations, State-space modeling of time varying systems.
UNIT 2 Solution of state equations, associated matrix inversion, Singular Value Decomposition (SVD)
technique with application, Difference equations.
UNIT 3 State space modeling of discrete time systems, Properties of discrete time systems.
UNIT 4 Modeling of stochastic systems, Modeling examples of various practical systems, Simulation
diagrams of state- space models.
UNIT 5 Simulation of dynamic systems using MATLAB, SIMULINK toolboxes.
Suggested Readings:
1. C.T. Chen, Linear System Theory and Design, Oxford University Press, 3/e, 1999.
2. R. L. Woods and K. L. Lawrence, Modeling and Simulation of Dynamic Systems, Prentice
Hall,1999
3. G. Allaire, Numerical Analysis and Optimization: An Introduction to Mathematical Modelling and
Numerical Simulation, Oxford University Press, 2007
ICICE27 INTELLIGENT CONTROL 4 L-T-P: 3-0-2 Control Systems-I

CO 1. To understand various artificial intelligence techniques.
CO 2. To apply artificial intelligence techniques in solving the control problems
CO 3. To develop different structures of Neural Network in solving the control problems
CO 4. To design futuristic intelligent control techniques
CO 5. To evaluate various optimization techniques.
Unit No. Topics
UNIT 1 Biological foundations to intelligent Systems : Artificial Neural Networks, Single layer and
Multilayer Feed Forward NN, Supervised and Unsupervised learning, Delta rule and Back
Propagation Algorithm, Feedback networks and Radial Basis Function Networks.Fuzzy Logic,
Knowledge Representation and Inference Mechanism, Defuzzification techniques, Mamdani
and T-S Models.
UNIT 2 System Identification using Fuzzy Logic and Neural Networks.
UNIT 3 Fuzzy logic and Neural Network Controller design for Direct and Indirect Adaptive Control,
Internal Model Control.
UNIT 4 Neuro-Fuzzy Systems and their applications to Non-Linear Dynamical Systems.
UNIT 5 Introduction to Optimization Algorithms: GA, PSO and ACO and their implementation in
Control.

Suggested Readings:
1. An Introduction to ANN by J M Zurada
2. Neural Networks by Simon Haykins
3. Fuzzy Logic with Engg.Applications by Timothy Ross
4. An Introduction to Fuzzy Control by Driankov, Dimitra
5. Genetic Algorithms by Golding
ICICE28 Optimization Algorithms 4 L-T-P: 3-0-2 Control Systems-I
Course Objectives :
CO 1. To understand various Artificial Intelligence Algorithms in Optimization.
CO 2. To apply the learnt Algorithms in solving various problems in Instrumentation and Control
Engg.
CO 3. To implement these optimization algorithms in MATLAB/PYTHON environment.
CO 4. To evaluate the performance of optimization techniques and decide their applications.
Unit No. Topics
UNIT 1 Introduction to Optimization , Optimization problems , Optimization of problems with one

objective and their Examples
UNIT 2 Particle Swarm Optimization (PSO)- details and flowchart, Genetic Algorithm (GA) – details and
flowchart and their applications and implementation in MATLAB.
UNIT 3 Optimization of problems with constraints, Optimization of problems with discrete variables, with
multiple objectives and problems with uncertainties
UNIT 4 Gravitational Search Algorithm, Teaching Learning Based Optimization and Hybrid Algorithms
and their implementation in various problems.
UNIT 5 Neural-Network based Optimization – Fuzzy optimization techniques – Applications. Use of
Matlab to solve optimization problems. Application of different Algorithms and their
implementation in MATLAB.
Suggested Readings:
1. Rao S. S. - ‘Engineering Optimization, Theory and Practice’ - New Age
International Publishers - 2012 - 4th Edition
2. Arora J. - ‘Introduction to Optimization Design’ - Elsevier Academic Press, New Delhi - 2004
3. Saravanan R. - ‘Manufacturing Optimization through Intelligent Techniques’ - Taylor & Francis (CRC
Press) – 2006.
ICICE29 Advanced Process 4 L-T-P: 3-0-2 Process Dynamics &Control

Control
CO 1. To understand the concept of digital control systems.
CO 2. To study the fundamental design and implementation of digital PID algorithms.
CO 3. To design and analyse the model-based control techniques.
CO 4. To understand and design PID controllers using the model-based control techniques.
CO 5. To analyse the modern industrial control concepts such as DCS & SCADA and PLC.

Unit No. Topics
UNIT 1 Sample Data Controllers: Basic review of Z transforms, Response of discrete systems to various
inputs. Open and closed loop response to step, impulse and sinusoidal inputs, closed loop
response of discrete systems. Introduction to digital control.
UNIT 2 Detailed comparison of PID algorithms. Ideal PID vs. real PID, Derivative action on process
output vs. error. Problems with proportional “kick” and reset “wind-up”.
Design and implementation of digital PID algorithms.
UNIT 3 Model Based control:
Controller design by direct synthesis for minimum and non-minimum phase system.
Internal Model Control-Introduction Open loop controller Design, Model uncertainty and
disturbances, IMC structure, IMC design Effect of Model uncertainty& disturbances.
IMC designs Procedure.
UNIT 4 IMC based PID procedure-Equivalent feedback form to IMC, IMC based feedback design with
Time delay as well as without time delay.
IMC based PID controller design for stable and unstable processes Plantwide Control.
Digital model-based control – IMC and Dahlins’s method
UNIT 5 Introduction to Statistical Process Control, Distributed Control System (DCS), and Supervisory
Control, Data Acquisition System (SCADA) and PLC.
Suggested Readings:
1. B. A. Ogunnaike and W. H. Ray, “Process Dynamics, Modeling and Control”, New York: Oxford
University Press
2. B. Roffel and B. H. L. Betlem, “Advanced Practical Process Control”, Springer-Verlag Berlin Heidelberg,
New York
3. B.W. Bequette, “Process Control: Modeling, Design and Simulation”, Prentice Hall
4. G. Stephanopoulos, “Chemical Process Control. An Introduction to Theory and Practice”, Prentice
Hall India
5. D. E. Seborg, T. F. Edgar, and D. A. Mellichamp, “Process Dynamics and Control”
6. B. Roffel and B. H. L. Betlem, “Process Dynamics and Control”, John Wiley & Sons Ltd
7. B. G. Liptak, “Process Control and Optimization”, 4th edition. Instrument Engineer’s Hand Book,
CRC press, London
8. K. J. Åström, and T. Hägglund, “Advanced PID Controllers”
9. K. J. Åström, and T. Hägglund, “PID Controllers: Theory Design and Tuning”
10. J. P. Corriou, “Process Control: Theory and Applications”, Springer-Verlag Berlin Heidelberg, New York
11. B.W. Bequette, “Process Dynamics: Modeling”, Analysis and Simulation. Prentice Hall
12. M. Johnson and M. H. Moradi, “PID Control”, Springer-verlang, London
4.4.4 SYLLABI OF DEPARTMENT ELECTIVES COURSES : VII & VIII SEMESTERS
MINOR-I: ROBOTICS AND ARTIFICIAL INTELLIGENCE
ICICE50 Intelligent Autonomous 4 L-T-P: 3-0-2 Robotics

systems

CO 1. To understand the application of AI in robotics

CO 2. To classify the various search method for the application of path planning
CO 3. To analyze AI based optimization techniques for intelligent system
CO 4. To design the AI based models for the path optimization
CO 5. To integrate the neural network in robotics application
Unit No. Topics
UNIT 1 INTRODUCTION: History, definition of AI, Intelligent agents, the concept of rationality, the
nature of environments, the structure of agents, Emulation of human cognitive process,
introduction to Genetic Algorithm
UNIT 2 TRADITIONAL SEARCH METHODS: Problem Solving Agents, Problem Definitions, Formulating
Problems, Searching for solutions, Measuring Problem, Solving Performance with examples,
Search Strategies: Uninformed search strategies, Breadth first Search, Uniform Cost Search,
depth first search, depth limited search, Iterative deepening depth first search, bidirectional
search, comparing uniformed search strategies, Informed search strategies – Heuristic
information, Hill climbing methods, best first search, branch and bound search, optimal search
UNIT 3 PATH OPTIMIZATION TECHNIQUES: Introduction to Path optimization techniques, Ant Colony
technique, Particle Swarm Optimization for path generation, Hybrid techniques for path
optimization
UNIT 4 ARTIFICIAL NEURAL NETWORK: An Introduction, fundamentals of Neural Networks, biological

Neural Network, evolution of neural networks, basic model of artificial neural network, important
terminologies of ANN, learning-supervised learning, unsupervised and reinforcement learning,
McCulloch-Pitts Model, Hebbian learning algorithm, Recurrent neural network, Convolutional
neural network, application of neural networks in robotics, Introduction to ANN tool box in
MATLAB for the generation of trajectory in Robotics.
UNIT 5 ROBOTICS: Introduction, Robotic perception – localization, mappings planning to move

configuration space, cell decomposition methods, skeletonization methods, Planning uncertain
movements – Robust methods, Moving–dynamics and control, Potential Field control, reactive
control, Robotics software architecture, Applications
Suggested Readings:
1. Industrial Robotics by Mikell P Groover, Odrey, Weiss, Nagel, Dutta, McGrawHill
2. Roland Siegwart, Illah Reza Nourbakhsh, Davide Scaramuzza, Introduction to Autonomous Mobile
Robots, Bradford Company Scituate, USA, 2011.
3. Robotics Control, Sensing, Vision and Intelligence by Wu .K. S, Gonzalez .R. C. & lee .C.S.G, M.G.Hills
4. Artificial intelligence Modern Approach by Russell Stuart, Norvig Peter, Pearson
5. Introduction to Artificial Intelligence and Expert Systems by Dan. W. Patterson, Prentice hall
6. Robots and Manufacturing Automation by c. Ray Asfahl, Wiley
7. Murphy, R.R., 2019. Introduction to AI robotics. MIT press.

ICICE51 Robot Analysis and 4 L-T-P: 3-1-0 Control System
Control
CO 1. To understand the controlling techniques in the robotics

CO 2. To examine the system stability for Nonlinear systems.
CO 3. To analyze the role of stability analysis in the robotics
CO 4. To design the controlling techniques for the robot
CO 5. To implement the nonlinear techniques in the various robotics applications
Unit No. Topics
UNIT 1 INTRODUCTION AND OVERVIEW OF ROBOTIC SYSTEMS AND THEIR DYNAMICS: Forward
and inverse dynamics. Properties of the dynamic model and case studies. Introduction to
nonlinear systems and control schemes
UNIT 2 SYSTEM STABILITY AND TYPES OF STABILITY: Lyapunov stability analysis, both direct and
indirect methods. Lemmas and theorems related to stability analysis, Trajectory Tracking Control
for the Kinematic Model, Control Lyapunov based design, Output feedback linearization
UNIT 3 JOINT SPACE CONTROL SCHEMES: Position control, velocity control, trajectory control and force
control.
UNIT 4 NONLINEAR CONTROL SCHEMES: Proportional and derivative control with gravity
compensation, computed torque control, adaptive control, Sampling-based Motion Planning,
Stochastic Trajectory Optimization
UNIT 5 NONLINEAR OBSERVER SCHEMES: Design based on acceleration, velocity and position
feedback. Nonlinear MPC controller and feasible path planning for unmanned vehicles
Suggested Readings:
1. R Kelly, D. Santibanez, LP Victor and Julio Antonio, ―Control of Robot Manipulators in Joint Space‖,
Springer, 2005.
2. A Sabanovic and K Ohnishi, ―Motion Control Systems‖, John Wiley & Sons (Asia), 2011.
3. R M Murray, Z. Li and SS Sastry, ―A Mathematical Introduction to Robotic Manipulation‖, CRC Press,
1994.
4. J J Craig, ―Introduction to Robotics: Mechanics and Control‖, Prentice Hall, 2004.
5. J J E Slotine and W Li, ―Applied Nonlinear Control‖, Prentice Hall, 1991.
6. Sebastian Thrun, Wolfram Burgard, Dieter Fox, ―Probabilistic Robotics‖, MIT Press, 2005.
7. Paden, B., Čáp, M., Yong, S.Z., Yershov, D. and Frazzoli, E., 2016. A survey of motion planning and
control techniques for self-driving urban vehicles. IEEE Transactions on intelligent vehicles, 1(1),
pp.33-55.
ICICE52 Machine learning 4 L-T-P: 3-1-0 Robotics and Control

Applications in Robotics

CO 1. To understand robot various industrial robot modelling.
CO 2. Able to learn reinforcement learning framework for robot control.
CO 3. Able to formulate robot control problems in conjunction with RL.
CO 4. Able to implement RL for robot control.
CO 5. Able to implement RL on robotic manipulators.

Unit No. Topics
UNIT 1 Brief introduction to robot modelling and control: Two link robotic arm, Selective compliance
assembly robotic arm, Mobile robot, Inverted Pendulum and Translational Proof-Mass Actuator
(RTAC) system.
UNIT 2 Reinforcement Learning (RL)Framework: Markov Decision Process, Value Iteration and Policy
Iteration, Temporal Difference Learning, Actor Critic RL, Model based and Model free RL, Q
Learning, SARSA algorithm
UNIT 3 Neural and Fuzzy Reinforcement Learning, Genetic RL Lyapunov Theory based robot control,
Multi robot control in Partially observable decentralized MDPs.
UNIT 4 Formulating robot control problems with neural network based RL, Implementing Fuzzy Q learning
for robot arm control, Disturbances and Noise handling by robotic manipulator with variable pay
load
UNIT 5 Introducing robustness in Neural, fuzzy and GA based RL control of robotic manipulators by
Lyapunov theory, GA assisted fuzzy Q learning for robot control, Implementing RL on various
robotic manipulators
SUGGESTED READINGS:
1. Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto, The MIT Press,
Cambridge, Massachusetts London, England, 2018
2. Jennie Si, A. G. Barto, W. B. Powell, and D. Wunsch, Handbook of Learning and Approximate
Dynamic Programming. Willey-IEEE Press, August 2018.
3. Latest research papers in the area of RL based robotic manipulator control.
ICICE53 Robotics Vision 4 L-T-P: 3-1-0 Sensors and Transducers

CO 1. To understand machine vision system elements.
CO 2. To classify the levels of the robotics vision
CO 3. To analysis the uncertainty in the vision system
CO 4. To design the calibration methods for the robotics vision
CO 5. To integrate the calibration techniques for the various robotics applications
Unit No. Topics
UNIT 1 VISION SYSTEM: Introduction to Computer Vision and Basic Concepts of Image Formation:
Introduction and Goals of Computer Vision Image Formation, Geometric Transformation,
Geometric Camera Models, Image Reconstruction from a Series of Projections, Basic Components,
pinhole cameras, color cameras, image formation model, imaging components and illumination
techniques, picture coding, basic relationship between pixels, Camera, Computer interfaces, Kinect
Sensor, Stereo Vision camera.
UNIT 2 LOW-LEVEL AND HIGHER-LEVEL VISION: Image representation – gray level transformations,
Histogram equalization, image subtraction, image averaging – Filters: smoothing spatial filters,
Segmentation: Edge linking and boundary detection, Thresholding, Region-oriented
segmentation, the use of motion – Description: Boundary Descriptors
UNIT 3 CALIBERATION: Camera Calibration - Stereo Imaging - Transforming sensor reading, Mapping
Sonar Data, Aligning laser scan measurements - Vision and Tracking: Following the road, Iconic

image processing, Multiscale image processing
UNIT 4 ROBOTICS, VISION AND CONTROL: Vision-Based Control, Position-Based Visual Servoing,
Image-Based Visual Servoing, Camera and Image Motion, Controlling Feature Motion, Estimating
Feature Depth, Performance Issues, XY/Z-Partitioned IBVS, IBVS Using Polar Coordinates
UNIT 5 ROBOT VISION: Basic introduction to Robotic operating System (ROS) - installing and testing
ROS camera Drivers, ROS to OpenCV - Introduction to OpenCV image processing library and
MATLAB programming, SIFT and SURF techniques for the image reconstruction.
Suggested Readings:
TEXTBOOKS:
1. K.S.Fu, R.C.Gonzalez, CSG. Lee, ―Robotics control, sensing, vision and Intelligence, McGraw Hill
Education Pvt. Ltd., 2013. 2. Richard D Klafter, Thomas A Chmielewski, Michael Negin, ―Robotics
Engineering: An Integrated Approach‖, PHI Learning, New Delhi, 2009.
2. Corke, P., 2017. Robotics, vision and control: fundamental algorithms in MATLAB® second,
completely revised (Vol. 118). Springer.
REFERENCES:
1. Damian M Lyons,―Cluster Computing for Robotics and Computer Vision‖, World Scientific,
Singapore, 2011. 2. RafelC. Gonzalez, Richard E.Woods, Steven L.Eddins, Digital Image Processing
using MATLAB‖,2nd edition, Tata McGraw Hill, 2010.
3. Carsten Steger, Markus Ulrich, Christian Wiedemann, ―Machine Vision Algorithms and
Applications‖, WILEY-VCH, Weinheim, 2008.
4. Kenneth Dawson-Howe, ―A Practical Introduction to Computer Vision with OpenCV, Wiley,
Singapore, 2014.
ICICE54 OPTICAL FIBRE AND 4 3-1-0 None

LASER IN MEDICINE
COURSE OBJECTIVES:
CO 1. To understand basics of optical fibre and laser.
CO 2. To apply optical laser in therapy and diagnosis in medical field.
CO 3. To design optical laser-based system for therapy and diagnosis in medical field.
CO 4. To analyse the performance of various optical laser based medical systems.
CO 5. To implement the optical laser-based systems in healthcare.
Unit No. Topics
UNIT 1 Optical Fiber and light- a brilliant combination: Light guiding, communication, Refraction, Units,
Snell’s Law, Critical Angle, Total internal reflection, Electromagnetic waves-Spectrum
Propagation of light along the fiber: Transmission of light through straight transparent slab and
bend slab, Cone of acceptance, numerical aperture, the use of decibels in fiber optic circuits
Losses and dispersion in fiber optics: Absorption, Rayleigh scatter, Fresnel Reflection, Bending
losses, dispersion Graded Index fiber, Single mode fiber, cables for fiber optics, Problems
occurring in connecting optical fibers, Cleaving Process, Connectors and couplers
UNIT 2 Lasers: Introduction, Laser physics, fundamental of medical lasers, Laser safety fundamentals,
Interaction of Laser beams with tissue. Various safety and ethical issues to apply laser in

medical field
UNIT 3 Application of Lasers in therapy and diagnosis: Introduction, application of Lasers in Diagnosis
and Imaging, Laser surgery and therapy, thermal interaction between laser and Tissue.
Integrated laser-fiber systems and their applications, Complications in the use of Laser fiberoptic
system
UNIT 4 Endoscopy: Endoscopic fundamentals, Angioscope, Videoscopy, Fluorescence endoscopy,
Endoscopic therapy, Endoscopic ultrasound imaging.
UNIT 5 Fiber Optic Medical Diagnosis: fundamentals, fiberoptic biomedical sensor-principles, Direct-
indirect Sensor principles
Clinical applications of fiber optic Laser systems: Fiber optic Laser system in cardiovascular
disease, Fiber optic Laser system in Gastroenterology, Fiber optic Laser system in Oncology,
thoracic surgeryFiber optic Laser system: Opthalmology, Neurosurgery Orthopedics,
Otolaryngology, Urology
Suggested Readings:
1. Laser and optical fibers in Medicine by Abraham Katzir, Academics Press,1998.
2. William Silfvast, Laser Fundamentals, 2008, Cambridge University Press
Reference Books:
1. Therapeutic Lasers-Theory and Practice by G. David Baxter, Churchill Livingstone Publications.
2. Medical Lasers and their safe use by DAVID H Shiney .Stephen and L Trokel, Springer, Springer.
verlag publications.
3. Elements of fiber optics S.L.Wymer,Regents PHI
4. Abraham Katzir, “Lasers and Optical Fibers in Medicine”, Academic press Inc. 2. John Crisp,”
Introduction to fiber optics”, 2nd Edition, 2001, Newnes
ICICE55 BIOMEDICAL IMAGING 4 3-1-0 None
COURSE OBJECTIVES:
CO 1. To study the principle, working and applications of medical imaging devices.
CO 2. To apply various medical imaging systems for diagnosis of diseases
CO 3. To discuss designing concepts of medical imaging devices
CO 4. To analyse the performance of various medical imaging devices.
CO 5. To design the medical imaging system for diagnosis of diseases.
Unit No. Topics
UNIT 1 X – Rays: Nature of X-Rays - X-ray Absorption - Tissue Contrast. X-Ray Equipment – X-ray Tube,
collimator, Bucky Grid, power supply. Digital Radiography - discrete digital detectors, storage
phosphor and film Scanning. X-Ray Image intensifier tubes - Fluoroscopy – Digital Fluoroscopy.
Angiography, Cine angiography. Digital Subtraction Angiography. Mammography.
UNIT 2 Computed Tomography: Principles of Tomography - First to Fifth generation scanners – Image
reconstruction Technique - Back projection and Iterative method. Spiral CT Scanning - Ultra fast
CT Scanners- X-Ray Sources – Collimation – X-Ray Detectors – Viewing System
UNIT 3 Magnetic Resonance Imaging: Fundamentals of Magnetic Resonance- Interaction of nuclei with
static Magnetic Field and Radio frequency wave – Rotation and Precession –induction of a magnetic
resonance signal – bulk Magnetization – Relaxation Processes T1 and T2.
MRI System and its components: MRI system- System Magnet, generation of Gradient magnetic
Fields, Radio Frequency coils, Shim coils, Electronic components

UNIT 4 Emission Imaging: Alpha, Beta, Gamma Emission, different types of Radiation Detectors, G.M. &
Proportional Counters, Pulse Height Analysers, Isotopic, Scanners, Principle of PET and SPECT,
PET/CT
UNIT 5 Ultrasound Imaging: Wave propagation and interaction in Biological tissues, Acoustic radiation
fields, continuous and pulsed excitation, Transducer, Scanning methods, Imaging Modes-A, B, C &
M, Principles and theory of image generation
Thermography- Principle, detectors and applications
Suggested Readings:
1. Paul Suetens, “Fundamentals of Medical Imaging”, 2017, 3rd edition, Cambridge University Press,
Cambridge, New York.
2. Khandpur.R.S. “Handbook of Biomedical Instrumentation”. Second edition Tata McGraw Hill Pub. Co.
Ltd., 2003.
3. John Ball and Tony Price Chesney’s, “Radiographic Imaging”. Blackwell Science Limited, U.K. 2006.
4. Farr, “The Physics of Medical Imaging”, AdemHilger, Bristol & Philadelphia, 2007.
5. Joseph Bronzino. “The Physics of Medical Imaging”. Second edition.2005.
REFERENCE BOOKS
1. Gopal B.Saha, “Physics and Radiobiology of Nuclear Medicine”, 2013, 4th edition, Springer-Verlag, New
York.
2. Russell K. Hobbie, Bradley J. Roth, “Intermediate Physics for Medicine and Biology”, 2015, 1st edition,
Springer International Publishing, Switzerland.
3. M. Analoui, J.D. Bronzino, D.R.Peterson, “Medical Imaging: Principles and Practices”, CRC Press, 2012.
4. S. Webb, “Physics of Medical Imaging”, Taylor & Francis, 2010.
5. T. Farncombe, K. Iniewski, “Medical Imaging: Technology & Applications”, CRC Press, 2013.
6. J.S. Benseler, “The Radiology Handbook: A pocket guide to medical imaging”, Ohio University Press, 2006.
7. R.R.Carlton, A.M.Adler, “Principles of Radiographic Imaging: An Art and a Science”, Delmar Cengage
Learning; Fifth Eddition, 2012.
8. N.B.Smith, A. Webb, “Introduction to Medical Imaging Physics, Engineering and Clinical Applications”,
CRC Press, 2010.
ICICE56 MACHINE LEARNING FOR 4 3-0-2 None

HEALTH CARE
Course Objectives:
CO 1. To understand the basic concepts of machine learning.
CO 2. To apply machine learning techniques in healthcare.
CO 3. To design machine learning based automated diagnostic system.
CO 4. To design the ML based healthcare system for diagnosis of diseases.
CO 5. To analyse the performance of various machine measuring techniques in healthcare.
Unit No. Topics
UNIT 1 Artificial intelligence in health care: History, state of the art, Need for AI in healthcare Machine
learning – Varieties of Machine learning – Learning Input- Output functions: Types of learning –
Input Vectors – Outputs – Training regimes – Noise – Performance Evaluation.
Application to healthcare
UNIT 2 Foundations of Supervised Learning: Decision trees and inductive bias – Geometry and nearest
neighbors – Logistic regression – Perceptron – Binary classification.

UNIT 3 Advanced Supervised Learning: Linear models and gradient descent – Support Vector machines –
Naïve Bayes models and probabilistic modeling – Model selection and feature selection – Model
Complexity and Regularization.
UNIT 4 Unsupervised Learning Curse of dimensionality, Dimensionality Reduction, PCA, Clustering – K-
means – Expectation Maximization Algorithm – Mixtures of latent variable models – Supervised
learning after clustering – Hierarchical clustering
UNIT 5 Neural Networks: Network Representation, Feed-forward Networks, Back propagation, Gradient-
descent method. Expert systems: Introduction and applications. Case Studies
Suggested Readings:
Text Books:
1. Michalski, Carbonell, Tom Mitchell, ‘Machine Learning’, Springer, 2014.
2. Peter Flach, ‘Machine Learning: The Art and Science of Algorithms that make sense of data’, Cambridge,
2014.
Reference Books:
1. Hal Daume III, ‘A Course in Machine Learning’, Todo, 2015.
EthemAlpaydin,’Introduction to Machine Learning’,The MIT Press, 2004 3. David MacKay, ‘Information
Theory, Inference and Learning Algorithms’, Cambridge, 2003
ICICE57 Biometric Technology and 4 3-1-0 None

Security Systems
Course Objectives:
CO 1. To understand biometric traits and identification methods.
CO 2. To apply biometric traits for security systems
CO 3. To evaluate the performance for various biometric based security systems
CO 4. To design biometric technology-based security systems
CO 5. To analyse the performance biometric Technology based security systems.
Unit No. Topics
UNIT 1 Understanding Biometrics: Types of Biometrics, Fingerprint and Hand Biometrics: Fingerprints,
Palm Scan, Hand Veins, Signature Biometrics, Retina and Facial Biometrics: Identifying a
Retinal Scan, Iris Scanning, Facial Imaging, Other Types of Biometric Identification Schemes:
Recognizing Speech, Gait-Recognition Biometrics.
UNIT 2 Fundamentals: Introduction of image processing basics, basic image operations, filtering,
enhancement, sharpening, edge detection, smoothening, enhancement, thresholding,
localization.
UNIT 3 Characteristics of Biometric Systems: Biometric Concepts and Terms: Biometric system,
identification and verification. FAR/FRR, system design issues. Positive/negative
identification.Biometric system security, authentication protocols, matching score distribution,
ROC curve, DET curve, FAR/FRR curve. Expected overall error, EER.
UNIT 4 Fusion in biometrics: Introduction to Multibiometrics - Information Fusion in Biometrics - Issues
in Designing a Multibiometric System , Sources of Multiple Evidence , Levels of Fusion in
Biometrics , Sensor level , Feature level, Rank level, Decision level fusion - Score level Fusion.
UNIT 5 Securing and trusting a Biometric transaction – Matching location – local host - authentication
server – Match On Card (MOC) – cryptography and Multimodal biometrics and Two-Factor
authentication. Applications of Biometrics in Cyber Security and Network protection.
Suggested Readings:
1. David D. Zhang, “Automated Biometrics: Technologies and Systems”, Kluwer Academic Publishers,

New Delhi
2. Rafael C.Gonzalez, Richard E.Woods and Steven L.Eddins, “Digital Image Processing”, Pearson
Education, New Delhi
3. Arun A. Ross ,KarthikNandakumar, A.K.Jain, “Handbook of Multibiometrics”, Springer, New Delhi
6. Nalini K Ratha and Govindraju, “Advances in Biometrics - Sensors, Algorithms and Systems”, 2018,
1st edition, Springer, London.
7. Haizhou Li, Liyuan Li, Kar-Ann Toh, Advanced Topics in Biometrics, 2012, 1st edition, World
Scientific Publisher, Singapore
Reference Books
1. David Check Long, Andre beck ling and Jiankun Hun, Biometric Security, Cambridge scholar
publications. 2015
2. Security and Privacy in Biometrics, Patrizio Campisi, Springer, 2013
ICICE58 Bio MEMS and Lab-on-Chip 4 3-1-0 None
Course Objectives:
CO 1. To introduce and discuss the historical background of evolution of MEMS and Microsystems
and their applications.
CO 2. To apply MEMS based fabrications techniques to design biosensors.
CO 3. To analyse various tools and techniques to create microfluidic devices for various BioMEMS
based biosensors
CO 4. To design MEMS based Biosensors in healthcare.
CO 5. To evaluate the performance of various MEMS based biosensors.
Unit No. Topics
UNIT 1 Introduction to MEMS

Historical background of Micro Electro Mechanical Systems-Types of MEMS devices-Applications
of MEMS in healthcare industry, Microsystems and Miniaturization.
UNIT 2 Scaling Laws in MEMS
Introduction to Scaling, Scaling in Geometry-Scaling in Rigid, Body Dynamics, Scaling in
Electrostatic Forces, Scaling in Electromagnetic Forces, Scaling in Heat Transfer, Scaling in Fluid
Mechanics/ Microfluidics.
UNIT 3 Materials for MEMS and Microfabrication Technology
Substrates and wafers, Silicon and Silicon compounds, Polymers (SU8, PDMS), Thin film coating:
PVD, CVD, Photolithography, Lift-off technique, Etching, Bulk micro machining, Surface micro
machining, LIGA process.
UNIT 4 Microfluidics: Theory and Fabrication
Basic Microfluidics Theory: Fluidic parameters, Equation of motion, Transport modes in
microfluidic systems; Micromachining of silicon, glass, rigid and soft polymers for micro total
analysis systems, Soft-Lithography: Moulding Technology. Surface chemistry in polymer
microfluidic system.
Fluidic Systems of Lab-on-Chip devices

Lab-On-a-Chip Platforms and Components – Fluidic Platforms-Pressure driven, Capillary flow
Segmented flow, Electrokinetics, Electrowetting on Dielectrics (EWOD), Centrifugal Microfluidics;
Components of LoC Systems- Microvalves, Micropumps-mechanical (membrane type) and non-

mechanical (electrical-electroosmosis, electrophoretic, DEP, EHD), Micromixers, Filters, Sensors.
UNIT 5 Electrochemical Lab-on-Chip Biosensors

Electrodes Fabrication, Electrochemical Detection Techniques-Amperometric, Potentiometric,
Conductimetric, Impedimetric; Applications- Enzymatic-Based LOC Biosensors, Enzyme
immobilization techniques, Antibodies-Based LOC-Biosensors, Cell-Based LOC-Biosensors.
Paper based Microfluidics
Low-Cost Diagnostics, Properties of Paper-Based Devices, Current Status of Paper-Based Devices,
Technical Achievements and Challenges- Sample preparation, Flow, Detection techniques.
Suggested Readings:
1. Tai-Ran Hsu, “MEMS & Microsystem, Design and manufacture”, 2017, 1st Edition, McGraw Hill, New
York
2. Marc J. Madou, “Fundamentals of Microfabrication: The Science of Miniaturization”, 2012, 2nd
edition, CRC Press, Florida, USA.
3. Jaime Castillo-León, Winnie E. Svendsen (eds.) “Lab-on-a-Chip Devices and Micro-Total Analysis
Systems_ A Practical Guide”, 2015, Springer International Publishing
Reference Books
1. Gary S. May and Simon Sze, “Fundamentals of semiconductor fabrication”, 2010, 1st edition John
Wiley & Sons, New Jersey, USA.
2. Francis E. H. Tay, “Microfluidics and Biomems application”, 2013, 1st Edition, Springer, Berlin.
3. Albert Folch, “Introduction to Biomems”,2016, 1st Edition, CRC Press, Florida.
4. Edwin Oosterbroek and Albert van den Berg, “Lab-on-a-Chip: Miniaturized Systems for (Bio) Chemical
Analysis and Synthesis”, 2011, 1st edition, Elsevier Science, Amsterdam, Netherlands.
ICICE59 BRAIN COMPUTER 4 3-0-2 None

INTERFACING
COURSE OBJECTIVES:
CO 1. To understand human computer interaction and its nature.
CO 2. To apply various machine learning techniques for BCI
CO 3. To analyse the performance of various machine measuring techniques for BCI
CO 4. To design machine learning based complete BCI system.
CO 5. To evaluate the performance of Machine learning based BCI system.
Unit No. Topics
UNIT 1 An Introduction to Human Computer Interfacing: Introduction to Human-computer Interaction,

The nature of human-computer interaction.
UNIT 2 Methodology for Designing User-computer Interfaces:- conceptual, semantic, syntactic, and lexical
levels of the design of an interactive system. Interaction Tasks, Techniques, and Devices: Design of
novel interaction techniques, Modes of human-computer communication, Voice, Gesture and Eye
movement. P300 based communication, Thought Translation device (TTD), Graz-HCI research, μ-
rhythm synchronization and desynchronization.
UNIT 3 BCI Techniques: General Signal processing and machine learning tool for HCI analysis, Spectral
filtering, spatial filtering, PCA, ICA, AR modeling, CWT, DWT Classification
UNIT 4 Techniques: Bayesian Analysis, LDA (Linear Discriminant Analysis) SVM (Support Vector Machine)
ANN (Artificial Neural Network)

UNIT 5 Applications of HCI: HCI for Communication and motor control, combining HCI and Virtual reality:
Scouting Virtual worlds. Introduction of Neuro Implantable Chip, EOG signal based indirect BCI
Suggested Readings:
1. Laser and optical fibers in Medicine by Abraham Katzir, Academics Press,1998.
Reference Books :
1. Dornhege G, Millan JDR, Hinterberger T, Mcfarland DJ and Muller KR, “Toward BrainComputer
interfacing,” MIT Press
2. Rangayyan RM, “Biomedical Signal Analysis: a case study Approach,” Wiley India
3. Tompkins WJ (Ed.), “Biomedical signal Processing,” Prentice Hall
ICICE60 MEDICAL IMAGE ANALYSIS 4 3-0-2 None
Course Objectives :
CO 1. To understand the fundamentals of digital image processing.
CO 2. To apply machine learning techniques for medical image analysis
CO 3. To analyse the application of ML for medical imaging.
CO 4. To design machine learning based medical imaging systems.
CO 5. To evaluate the performance of various machine learning techniques for medical Image
Analysis.
Unit No. Topics
UNIT 1 Fundamentals of Digital Image: Introduction – Origin – Steps in Digital Image Processing –
Components, Methods of Image enhancement: Spatial Domain and frequency domain
UNIT 2 Introduction to Medical Imaging and Analysis, Xray, CT scan, MRI, Ultrasonic Imaging,
Molecular Imaging, SPECT and PET, Texture in Medical Images, Region Growing and
Clustering, Segmentation, Systematic Evaluation and Validation
UNIT 3 Decision Trees for Segmentation and Classification, Random Forests for Segmentation and
Classification
UNIT 4 Neural Networks for Segmentation and Classification, Deep Learning for Medical Image Analysis,
Retinal Vessel Segmentation, Vessel Segmentation in Lung CT Images, Lesion Segmentation in
Brain MRI, Ultrasonic Tissue Characterisation, Metastatic Region Segmentation in Lymph Node
Histology
UNIT 5 Cloud computing application in biomedical image processing, IoT in Biomedical Applications
Suggested Readings:
1. Rafael C. Gonzales, Richard E. Woods, “Digital Image Processing”, Third Edition, Pearson Education,
2010.
2. Anil Jain K. “Fundamentals of Digital Image Processing”, PHI Learning Pvt. Ltd., 2011.
3. Digital Image Processing in Matlab by Gonzales and Woods
4. Pianykh, Oleg S., Digital Imaging and Communications in Medicine (DICOM), A Practical Introduction
and Survival Guide, Springer
5. Branstetter IV, Barton F., Practical Imaging Informatics Foundations and Applications for Medical
Imaging, Springer
6. Bettyann Holtzmann Kevles , Naked To The Bone: Medical Imaging In The Twentieth Century

ICICE61 MULTIVARIABLE 4 L-T-P: 3-0-2 Control System

CONTROL THEORY AND
APPLICATIONS

CO 1. To understand the interacting behaviour of processes/systems.
CO 2. To synthesis and analyse the alternative control configuration of multivariable systems.
CO 3. To analyse the interaction and decoupling of control loops
CO 4. To develop the multi-loop control performance through loop paring.
CO 5. To implement the multivariable controllers.
Unit No. Topics
UNIT 1 Introduction to multivariable systems: The nature of multivariable systems, multivariable

process models, open-loop dynamic analysis, multivariable transfer functions and open-loop
dynamic analysis, closed-loop dynamic analysis.
UNIT 2 Synthesis of alternative control configuration of multivariable systems: Degrees of freedom and
number of controlled and manipulated variables; Generation of alternative loop Configurations,
Extensions to systems with interacting units.
UNIT 3 Interaction analysis and decoupling of Control loops: Study of interactions and it’s effects,
Modelling and transfer functions, Influence of Interaction on the possibility of feedback control,
important effects on Multivariable system behaviour. Relative Gain Array (RGA) and the selection
of loops, effect of interaction on stability and Multi-loop Control system.
UNIT 4 Multi-loop control Performance through: Loop Paring using the RGA, loop pairing for nonlinear
systems, Loop Pairing for Systems with Pure Integrator Modes, Loop Pairing for Nonsquare
Systems, Controller Design Procedure, tuning, Enhancement through Decoupling, Single Loop
Enhancements.
UNIT 5 Design of multivariable controllers. The IMC design procedure for multivariable systems. Some
case studies.
Suggested Readings:
1. O. Gasparyan, Linear and Nonlinear Multivariable Feedback Control: A Classical Approach , John
Wiley and Sons, 2007.
2. 1. B. A. Ogunnaike and W. H. Ray, “Process Dynamics, Modeling and Control”, New York: Oxford
University Press
3. B. Roffel and B. H. L. Betlem, “Advanced Practical Process Control”, Springer-Verlag Berlin
Heidelberg, New York
4. B.W. Bequette, “Process Control: Modeling, Design and Simulation”, Prentice Hall
5. G. Stephanopoulos, “Chemical Process Control. An Introduction to Theory and Practice”, Prentice
Hall India
6. W. M. Wonham, Linear Multivariable Control: A Geometric Approach , Springer, 1985.
ICICE62 Adaptive Learning and 4 L-T-P: 3-1-0 Control Systems

Control

CO 1. To understand adaptive and learning techniques for control design for uncertain dynamical
systems.
CO 2. To illustrate learning based control.
CO 3. To develop Learning basic characteristics of Adaptive control systems.
CO 4. To analyse the concepts and techniques for adaptive learning and control.
CO 5. To evaluate the design aspect of nonlinear control.
Unit No. Topics
UNIT 1 Introduction to nonlinear systems: Examples of phenomena, models & derivation of system
equations. Fundamental properties: Existence & uniqueness, Dependence on initial conditions
& parameters. Limit cycles & oscillations. Describing function method and its application in
stability.
UNIT 2 Equilibrium points and stability concepts, stability definitions, Lyapunov direct method, Second
Method of Lyapunov, Positive definite functions and Lyapunov functions, existence of Lyapunov
functions, Lyapunov analysis of Non linear systems.
UNIT 3 Adaptive Parameter estimation and system identification, Modeling of various non-linear
systems, Least Squares Estimation and Gradient Methods, Linearization using Taylor series
expansion.
UNIT 4 Introduction to Adaptive Control ,Model Reference Adaptive Control for Linear and Non Linear
Systems, Continuous time model reference adaptive control, Discrete time model reference
adaptive control, Direct and Indirect Adaptive Control
UNIT 5 Non- Linear Control Strategies, Feedback Linearization, Back-Stepping Design, State feedback
Linearization Systems.
Suggested Readings:
1. H. K. Khalil, “Nonlinear Systems”, 3rd edition, Prentice Hall, 2002
2. S. Sastry and M. Bodson, “Adaptive Control”, Prentice-Hall, 1989
2. K. S. Narendra and A. M. Annaswamy, “Stable Adaptive Systems”, Prentice-Hall, 1989
3. 4.J.J.E. Slotine, and W. Li, “Applied Nonlinear Control”, Prentice-Hall, 1991
4. 5.P. Ioannou& B. Fidan, “Adaptive Control Tutorial”, SIAM, Philadelpia, PA, 2006
5. Adaptive Control Systems: Techniques and Applications By Chalam, CRC Press, 1990.
6. Adaptive Control Design and Analysis by Gang Tao , 2003, John Wiley and Sons.
7. Adaptive Control by Astrom and Wittenmark , 2008, Courier Corporation.
8. Adaptive Control, by S. Sastry and M. Bodson, Prentice-Hall, 1989 (available now
at http://www.ece.utah.edu/%7Ebodson/acscr/index.html)
ICICE63 CLASSICAL OPTIMIZATION 4 L-T-P: 3-1-0 None

TECHNIQUES

1. Students will understand optimization and its significance in Engg.
2. After learning the techniques students can apply to engineering and other problems.
3. Analyze Non-linear optimization techniques.
4. Design of advanced Non-linear optimization techniques.
5. Evaluate dynamic programming and evolutionary optimization techniques.

Unit No. Topics
UNIT 1 Linear programming Problem (LPP) – formulation - Graphical and simplex methods, Flow
Chart of Simplex method, General formulation of LPP, Slack and surplus variable, Standard
form of LPP,(Assumptions, limitations, applications and advantages of LPP).Artificial Variable
Technique: Big-M method and Two-phase method, LPP consisting of restricted and
unrestricted variable, Disadvantages of Big-M method over Two phase method, Degeneracy
problem and method to resolve degeneracy (Tie)
UNIT 2 Duality in Linear programming Problem (LPP), Dual simplex method - Primal Dual problems,
General rules for converting any primal into its dual, Flow Chart of Dual simplex methods,
Advantages of duality, Advantages of Dual Simplex method over simplex method, Difference
between simplex and dual simplex methods.
UNIT 3 Nonlinear Programming Problem (NLPP): Unconstrained Optimization Techniques, Constrained
optimization technique, Equality Constraints by Lagrange multiplier, Inequality constraints,
Kuhn-Tucker conditions.
UNIT 4 Nonlinear Programming for one dimensional minimization method: Unimodal function,
Elimination methods, unrestricted search, exhaustive search, dichotomous search, interval
halving method, Fibonacci and golden section method, comparison of elimination method,
Quadratic Interpolation methods, cubic interpolation, and direct root methods
UNIT 5 Dynamic programming: principle of optimality, Application of principal of optimality to
decision making, Dynamic programming applied to a routing problem, Algorithm and
functional equation of dynamic programming, Interpolation. Particle Swarm Optimization
(PSO), Genetic Algorithm (GA). Introduction of neural and fuzzy optimization technique.
Suggested Readings:
1. Rao S.S., “Optimization :Theory and Application”, Wiley Eastern Press
2. Taha,H.A., “Operations Research –An Introduction”, Prentice Hall of India
3. Fox, R.L., “Optimization methods for Engineering Design”, Addition Wiely
4. Arora J. - ‘Introduction to Optimization Design’ - Elsevier Academic Press, New Delhi
5. Saravanan R. - ‘Manufacturing Optimization through Intelligent Techniques’ - Taylor & Francis (CRC
Press) - 2006
ICICE64 Robust control 4 L-T-P: 3-0-2 None

CO 1. To understand robust control and its significance in Engg.
CO 2. After learning the techniques students can apply to engineering and other problems.
CO 3. To analyze the optimal control techniques.
CO 4. To evaluate use of robust controllers.
CO 5. To implement and analyse the robust controllers
Unit No. Topics
UNIT 1 Introduction: Norms of vectors and Matrices – Norms of Systems – Calculation of operator
Norms – vector Random spaces- Specification for feedback systems – Co-prime factorization and
Inner functions –structured and unstructured uncertainty- robustness, Khairitonov approach.
UNIT 2 H2 Optimal Control: Linear Quadratic Controllers – Characterization of H2 optimal controllers
– H2 optimal estimation-Kalman Bucy Filter – LQG Controller, IMC controller

UNIT 3 H-Infinity Optimal Control- Riccati Approach: Formulation – Characterization of H-infinity
sub-optimal controllers by means of Riccati equations – H-infinity control with full information –
H-infinity estimation
UNIT 4 H-Infinity Optimal Control- LMI Approach: Formulation – Characterization of H-infinity sub-
optimal controllers by means of LMI Approach – Properties of H-infinity sub-optimal controllers
– H-infinity synthesis with pole placement constraints
UNIT 5 SYNTHESIS OF ROBUST CONTROLLERS & CASE STUDIES: Synthesis of Robust Controllers
– Small Gain Theorem – D-K –iteration- Control of Inverted Pendulum- Control of CSTR –
Control of Aircraft – Robust Control of Second-order PlantRobust Control of Distillation Column.
Suggested Readings:
1. U. Mackenroth, “Robust Control Systems: Theory and Case Studies”, Springer International Edition
2. J. B. Burl, “ Linear optimal control H2 and H-infinity methods”, Addison W Wesley
3. D. Xue, Y.Q. Chen, D. P. Atherton, “Linear Feedback Control Analysis and Design 26 with MATLAB,
Advances In Design and Control”, Society for Industrial and Applied Mathematics
4. I. R. Petersen, V.A. Ugrinovskii and A. V. Savkin, “Robust Control Design using H- infinity Methods”,
Springer
5. M. J. Grimble, “Robust Industrial Control Systems: Optimal Design Approach for Polynomial
Systems”, John Wiley and Sons Ltd., Public
6. F. Lin, “Robust control design: An optimal control approach”, Wiley publications.
7. K. Zhou, J. C. Doyle, and K. Glover, “Robust and optimal control”, Prentice hall.
ICICE65 Model Predictive Control 4 L-T-P: 3-0-2 Control Systems – I, II

CO 1. To understand and explain the basic principles of Model Predictive Control (MPC), its pros
and cons, and the challenges met in implementation and applications.
CO 2. To state correctly, in mathematical form, MPC formulations based on descriptions of control
problems expressed in application terms.
CO 3. To describe and construct MPC controllers based on a linear model, quadratic costs and
linear constraints.
CO 4. To detail basic properties of MPC controllers and use software tools for analysis and
synthesis of MPC controllers.
CO 5. To know and explain basic properties of the optimization problem as an ingredient of MPC,
in particular concepts like linear, quadratic and convex optimization, optimality conditions,
and feasibility.
Unit No. Topics
UNIT 1 Introduction to Predictive Control; Models for MPC: Step-Response Models, Finite impulse
response models; Model prediction; Parameter estimation, Linear Time Invariant (LTI) State-
space models; Transfer function models; Model transformation.
UNIT 2 Model analysis and Disturbance Modeling; White, colored and integrating noise; Discrete
internal model control, Dynamic Matrix Control; Step-response based MPC; Properties of MPC
– Stability, Feasibility, Convexity, Observability and Controllability; Representing uncertainty;
Linear State Estimation, State observer; Pole placement; Optimal Linear State Estimation,
Kalman Filter; Stochastic filtering theory.
UNIT 3 Linear Control Systems: Linear control; pole placement, stability; Unconstrained Linear

Quadratic (LQ) control - LQ control theory; Constrained LQ control - Constrained LQ control
theory.
UNIT 4 State-Space MPC; deterministic formulation; state- feedback control.
UNIT 5 State-Space Output-Feedback, MPC Separation principle; Implementation of output feedback
MPC; Practical Implementation for Nonlinear systems; Multi-rate system; Inferential control.
Suggested Readings:
1. James B. Rawlings, David Q. Mayne, Moritz M. Diehl. Model Predictive Control: Theory, Computation
and Design. Nob Hill 2005.
2. J.M. Maciejowski, Predictive control with constraints, Prentice-Hall, Pearson Education Limited, Harlow,
UK, 2002, ISBN 0-201-39823-0 PPR.
3. B.W. Bequette. Process Control: Modeling, Design and Simulation. Prentice Hall (2003).
ICICE66 MISSILE GUIDANCE AND 4 L-T-P: 3-1-0 Control Systems

CONTROL SYSTEMS

CO 1. Introduction to past and present guided missile systems.
CO 2. To illustrate generalized missile equations of motion.
CO 3. To analyze tactical guidance laws and/or techniques.
CO 4. To illustrate weapon delivery systems and techniques.
CO 5. To evaluate strategic missiles, cruise missile theory and design.
Unit No. Topics
UNIT 1 Introduction to Missile Guidance Systems
Coordinate Systems, Rigid-Body Equations of Motion, D’Alembert’s Principle, Lagrange’s
Equations for Rotating Coordinate Systems, Aerodynamic Moment Representation, Missile
Guidance System Model.
UNIT 2 Tactical Missile Guidance Laws
Guidance Techniques, Fundamental Guidance Equations, Navigation techniques, Optimal
control in Missile guidance.
UNIT 3 Weapon Delivery Systems
Introduction, Weapon Delivery Requirements, Navigation/Weapon Delivery System, Influencing
Factors for navigation, Equations of Motion, Guided and unguided weapons, Integrated Flight
Control.
UNIT 4 Strategic Missiles
Introduction, Two-Body Problem, Lambert’s Theorem, Motion of Ballistic missile, Spherical Hit
Equation,Ballistic Error Coefficients.
UNIT 5 Cruise Missiles
Introduction, Error Analysis, Terrain Contour Matching, Data Correlation Techniques, GPS
navigation system
Suggested Readings:
1. G. M. Siouris, “Missile guidance and control systems,” Springer Books.

ICICE67 MACHINE LEARNING 4 L-T-P: 3-1-0 Statistics and Probability
APPLICATIONS IN
CONTROL SYSTEMS

CO 1. To understand supervised learning generative/discriminative learning.
CO 2. To examine parametric/non-parametric learning, Clustering, dimensionality reduction, kernel
methods.
CO 3. To apply the ML techniques in solving the problems in various fields of Engineering.
CO 4. To design machine learning as a probabilistic approach.
CO 5. To evaluate machine learning applications in control systems.
Unit No. Topics
UNIT 1 What is Machine Learning? Supervised Learning, Unsupervised Learning, Linear Regression
with One Variable, Model Representation, Cost Function, Gradient Descent , Gradient
Descent For Linear Regression. Linear Algebra Review, Matrices and Vectors , Addition and
Scalar Multiplication, Matrix Vector Multiplication, Matrix Multiplication Properties. Inverse
and Transpose.
UNIT 2 Logistic Regression, Notion of classification, the cost function for logistic regression, and the
application of logistic regression to multi-class classification. Hypothesis Representation,
Decision Boundary, Advanced Optimization. The Problem of Overfitting, Cost
Function, Regularized Linear Regression and Logistic Regression.
UNIT 3 Neural Networks: Representation , Non-linear Hypotheses Neurons and the Brain, Model
Representation, Examples, Multiclass Classification, Backpropagation Algorithm, Gradient
Checking , Random Initialization, Putting It Together, Examples using Gradient Descent and
Back Propagation, Evaluating a Hypothesis, Model Selection and Train/Validation/Test Sets ,
Diagnosing Bias vs. Variance, Regularization and Bias/Variance.
UNIT 4 Support Vector Machines , idea and intuitions behind SVMs, Kernels , Using An SVM, KNN,
unsupervised learning to build models that help us understand data better, K-Means
Algorithm, Optimization Objectives, Dimensionality Reduction, Principal Components
Analysis, Data compression, Various Metrics for unsupervised learning.
UNIT 5 Large Scale Machine Learning, Learning With Large Datasets, Stochastic Gradient Descent,
Mini-Batch Gradient Descent, Stochastic Gradient Descent Convergence , Few applications of
machine learning : Robotic control, data mining, autonomous navigation, speech and text
recognition and other applications.
Suggested Readings:
1. Machine Learning A Probabilistic Perspective, Kevin P. Murphy
2. Computer Vision: Algorithms and Applications Richard Szeliski, 2010 Springer.
3. The Elements of Statistical Learning Data Mining, Inference, and Prediction, Trevor Hastie, Robert
Tibshirani Jerome Friedman.
ICICE68 Mechatronics 4 L-T-P: 3-0-2
CO 1. Course Outcomes (CO):

CO 2. To impart knowledge about the elements and techniques involved in Mechatronics systems

which are very much essential to understand the emerging field of automation and
familiarize with the concept of Mechatronics and the sensors.
CO 3. The students will be able to know various types of sensors and controller used in
mechatronics.
CO 4. To analyse various types of actuation system.
CO 5. To enable development of hydraulic/pneumatic circuit and PLC programs for simple
applications
CO 6. To evaluate traditional and mechatronics system design.
Unit No. Topics
UNIT 1 Introduction: Introduction to mechatronics, Concepts of mechatronics approach – Need for

mechatronics, Emerging areas of mechatronics, Classification of mechatronics.
UNIT 2 Sensors: Electric position sensors: Limit switches, Mercury switches, Reed switches, Photo
electronic sensors, ultrasonic sensors, capacitive proximity sensors, Magnetic proximity sensors,
comparison between different position sensors
Pneumatic position sensors: Pneumatic limit valves, Back-pressure sensors, Annular back
pressure sensors, Point sensors for variable other than position, Level switches, pressures
witches, Temperature switches, Flow switches.
Electromechanical relays, reed relays, Solid state relays.
Controllers: Pneumatic proportional(P), Integral(I), Derivative (D) and PID Controllers, Hydraulic
proportional(P), Integral(I), Derivative (D) and PID Controllers.
UNIT 3 Pneumatic and Hydraulic actuation systems: Actuation systems, Pneumatic and hydraulic
systems, Directional control valves, pressure control valves, Single and double acting cylinders,
Process control valves, Rotary actuators.
Mechanical actuation systems: Cams, Gear trains, Ratchet and Pawl, Belt and chain drives,
Bearings.
Electrical actuation: Electrical systems D.C motors, A.C. motors and stepper.
UNIT 4 Programmable logic controllers: Architecture of Programmable logic controllers, basic
structure, Input/output Processing, Programming, Mnemonics, Timers, internal relays and
counters, shift registers, Master and jump controls, Relay Logic and Ladder Logic. Advantages of
PLC over electromechanical relays. Applications of PLC.
UNIT 5 Mechatronics Systems: Traditional and mechatronics designs, Case studies of mechatronics
systems: automatic car park barrier system etc.
Suggested Readings:
TEXT BOOK:
1. Bolton, “Mechatronics”, Printice Hall, 2008
REFERENCES:
2. Clarence W, de Silva, "Mechatronics" CRC Press, First Indian Re-print, 2013
3. Industrial Automation David .w. Pessen John willey and sons.
4. AndrewParr, “Hydraulics and pneumatics”, Jaico Publishing House, 2003
5. FESTO, “Fundamentals of Pneumatics”

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NETAJI SUBHAS UNIVERSITY OF TECHNOLOGY

UNDER DELHI ACT 06 OF 2018, GOVT. OF NCT OF DELHI

SCHEME OF COURSES AND EXAMINATION

INSTRUMENTATION & CONTROL ENGINEERING

(Effective from the Session: 2019-2020)

1 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

2 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

3 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

2 CC/FC/ED/EG/EO 25 25 50 Nil Nil

Table 2: Continuous Assessment

4 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

Note for students:

Note for Course Teacher:

2.2 SEMESTER WISE COURSE/CREDIT DISTRIBUTION

Table 3: SEMESTER WISE COURSE/CREDIT DISTRIBUTION

Types of courses as per NSUT Nomenclature

5 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

# ED : At least 4 courses (16 credits)

2.3 COURSE CODE NOMENCLATURE

2.3.1 COURSE/DEPARTMENT/SPECIALIZATION/BRANCH CODING

TABLE 4: TYPE OF COURSE/DEPARTMENT CODES

Course Category Code FC Foundation Core

6 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

2.3.2 B.TECH COURSE CODE NOMENCLATURE

XX and YY maybe chosen as given in Tables 4 and 5 respectively.

OTHER CORE AND ELECTIVE COURSES:

C for Core and E for Elective (Discipline Centric);

7 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

2.3.4 STUDENT ROLL NUMBER NOMENCLATURE:

Year of Admission U ZZ (FROM TABLE 5) 4 DIGIT NUMBER

3 SEMESTER WISE SCHEME OF COURSES

1. Robotics and Artificial Intelligence

3.1 SCHEME OF COURSES FOR SEMESTER I

FCMT001 FC Mathematics-I 3 1 0 4 Maths BASIC

8 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

Students of the Departments of Group I shall be offered courses as follows:

1. Semeter I : Computer Programming, Physics

1. Semeter I : English, Environment Science and Green Chemistry

3.2 SCHEME OF COURSES FOR SEMESTER II

3.3 SCHEME OF COURSES FOR SEMESTER III

9 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

3.4 SCHEME OF COURSES FOR SEMESTER IV

10 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

Course No. Type Course L T P Credits Evaluation Scheme Offerin

ICICC15 CC Process Dynamics and 3 0 2 4 15 15 40 15 15 ICE

ICECC16 CC Communication and 3 0 2 4 15 15 40 15 15 ECE

ICICC17 CC Robotics 3 0 2 4 15 15 40 15 15 ICE

1. Robotics and Artificial Intelligence

B.Tech. SEMESTER V (Discipline Centric Elective Courses)

Course Course L T P Credits Evaluation Scheme Offering

MINOR-1: (Robotics and Artificial Intelligence)

ICICE02 Industrial Control Systems 3 1 0 4 25 25 50 - - ICE

MINOR-2: (Biomedical Instrumentation)

11 | SCHEME OF COURSES AND EXAMINATION: B.Tech ICE

ICICE04 Biomedical Instrumentation 3 0 2 4 15 15 40 15 15 ICE

ICICE05 Biomechanics 3 1 0 4 25 25 50 - - ICE

MINOR-3: (Intelligent Control)

ICICE07 Discrete Time Systems 3 0 2 4 15 15 40 15 15 ICE

ICICE08 Large Scale Systems 3 1 0 4 25 25 50 - - ICE