Final Updated UG R & AI Curriculum

Model Curriculum for UG Degree Course in
Robotics and Artificial Intelligence Engineering

(Engineering & Technology)
2023
ALL INDIA COUNCIL FOR TECHNICAL EDUCATION

Nelson Mandela Marg, Vasant Kunj, New Delhi 110070
www.aicte-india.org
AICTE Model Curriculum for UG Degree Course in Robotics & Artificial Intelligence Engineering
Model Curriculum for

UG Degree Course
in
Robotics and Artificial Intelligence
Engineering

NELSON MANDELA MARG, Vasant Kunj, New Delhi – 110070
www.aicte-india.org
i
ii
MESSAGE
The quality of technical education depends on many factors but largely on- outcome based
socially and industrially relevant curriculum, good quality motivated faculty, teaching learning
process, effective industry internship and evaluation of students based on desired outcomes.
Therefore, it was imperative that a Model Curriculum be prepared by best experts from
academia and industry, keeping in view the latest industry trends and market requirements
and be made available to all universities / board of technical education and engineering
institutions in the country. AICTE constituted team of experts to prepare the model curriculum
of UG Degree Course in Robotics and Artificial Intelligence Engineering. Similar exercise is
done for other UG, Diploma and PG level in engineering, MBA, PGDM, Architecture, etc.
It comprises of basic science and engineering courses, having focus on fundamentals,
significant discipline level courses and ample electives both from the disciplines and cross
disciplines including emerging areas all within a cumulative structure of 165 credits. Summer
Internships have been embedded to make the student understand the industry requirements
and have hands on experience. Virtual Labs has been introduced for few experiments. Also,
most courses have been mapped to its equivalent SWAYAM/NPTEL Course to offer an
alternative for learning that course online from SWAYAM. These features will allow students
to develop a problem-solving approach to face the challenges in the future and develop
outcome based learning approach.
As a major initiative by AICTE, a three-week mandatory induction program for students has
also been designed and has to be given at the beginning of the course. The idea behind this is
to make the students feel comfortable in their new environment, open them up, set a healthy
daily routine, develop awareness, sensitivity and understanding of the self, people around
them, society at large, and nature.
AICTE places on record, special thanks to Dr. Bharat Kumar B Ahuja, Dr Shantipal S Ohol, Dr.
Arockia Selvakumar Arockia Doss, Dr. Rajesh Kumar, Dr. Sukhdeep Singh Dhami, Dr Hargovind
Bansal and other committee members. We are sure that this Model Curriculum will help to
enhance not just the employability skills but will also enable youngsters to become job
creators.
We strongly urge the institutions / universities / boards of technical education in India to
adopt this Model Curriculum at the earliest. This is a suggestive curriculum and the concerned
university / institution / board should build on and exercise flexibility in readjustment of
courses within the overall 160 credits.
(Prof. T. G. Sitharam)
Chairman
All India Council for Technical Education
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PREFACE
Taking cognizance of growing concern about quality of technical education in India, AICTE in
its 49th council meeting held on 14.03.2017 approved a package of measures for improving
quality of technical education - Revision of Curriculum, Mandatory Internship, and Student
Induction Program were amongst the few.
AICTE constituted committee of academia industry experts to prepare model curriculum of
UG Course in Robotics and Artificial Intelligence Engineering. During the development of
curriculum, the employability and employment opportunities for graduates, future ready
workforce who will be skilled enough to handle the rapid growth in the field of Robotics and
Artificial Intelligence Engineering were kept in mind.
AICTE has introduced mandatory internship in the new curriculum which will equip the
students with practical understanding and training about industry practices in a suitable
industry or organization. In the course of development of model curriculum, the committee
took feedback of industry experts on the draft curriculum and accordingly modified the draft
before finalization. This exercise has ensured that essential emphasis on industry
requirements and market trends, employability and problem solving approach is given.
After due deliberations, the scheme and syllabus have been formulated. Salient features of this
model curriculum are enumerated as under:
• Reduced number of credits.
• Introduction of Student Induction Program.
• Well defined learning objectives & outcomes for each course.
• Inclusion of courses on socially relevant topics.
• Built-in flexibility to the students in terms of professional elective and open elective
courses.
• Mandatory internship to equip the students with practical knowledge and provide
them exposure to real time industrial environments.
• Virtual Labs.
• Mapping of Courses to its equivalent NPTEL/SWAYAM Course.
• Course on ‘Entrepreneurship and Startups’ to encourage entrepreneurial mindset.
• Introduction of Design Thinking and Universal Human Value course.
I gratefully acknowledge the time and efforts of the members of the working group Dr. Bharat
Kumar B Ahuja, Dr Shantipal S Ohol, Dr. Arockia Selvakumar Arockia Doss, Dr. Rajesh Kumar,
Dr. Sukhdeep Singh Dhami, Dr Hargovind Bansal and other committee members.
Special thanks to Prof. Prof. T. G. Sitharam, Chairman; Dr. Abhay Jere, Vice-Chairman; and Prof.
Rajive Kumar, Member Secretary, AICTE who all have been instrumental and encouraging
throughout the process of development of this model curriculum.
I appreciate the dedication put by the Dr. Naveen Arora, Assistant Director (P&AP); Dr. Anil
Sharma, Assistant Director (P&AP), Mr. Rakesh Kumar Pandit, Young Professional (P&AP); Ms.
Nishtha Sehgal, IT Consultant and other office staff of AICTE.
(Dr. Ramesh Unnikrishnan)

Advisor – II (P&AP)
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Committee for Model Curriculum

S.No Name Designation & Organization
1 Professor & Director, Department of Production
Dr Bharat Kumar B Ahuja
Engineering & Industrial Management, College of
(Chairman)
Engineering, Pune
2 Associate Professor in Mechanical Engineering,
Dr Shantipal S Ohol
College of Engineering, Pune
3 Senior Associate Professor, School Of Mechanical
Dr. Arockia Selvakumar
And Building Sciences, VIT University, Chennai,
Arockia Doss
India
4 Professor, Dept. of Electrical Engineering, MNIT
Dr. Rajesh Kumar
Jaipur
5 Dr. Sukhdeep Singh Professor, Dept. of Mechanical Engineering, NITTTR
Dhami Chandigarh
6 Dr Hargovind Bansal Senior Lead Engineer, Qualcomm India Pvt Limited
vii
viii
Table of Contents
S. No. Title From To
1 General Course Structure & Theme 1 10
2 Semester Wise Structure 11 19
3 Semester I 20 43
4 Semester II 44 69
5 Semester III 70 89
6 Semester IV 90 111
7 Semester V 112 133
8 Semester VI 134 157
9 Semester VII 158 183
10 Semester VIII 184 207
11 Appendix 1- A Guide to Induction 208 217

Program
ix
x
GENERAL COURSE STRUCTURE

& CREDIT DISTRIBUTION
xi
1
GENERAL COURSE STRUCTURE & THEME

A. Definition of Credit:
1 Hr. Lecture (L) per week 1 Credit
1 Hr. Tutorial (T) per week 1 Credit
1 Hr. Practical (P) per week 0.5 Credit
2 Hours Practical (P) per week 1 Credit
B. Range of Credits: In the light of the fact that a typical Model Four-year Under Graduate
degree program in Engineering has about 160 credits, the total number of credits
proposed for the four-year B. Tech/B.E. in Robotics and Artificial Intelligence
Engineering (Engineering & Technology) is kept as 160.
C. Structure of UG Program in Robotics and Artificial Intelligence: The structure of UG
program in Robotics and Artificial Intelligence Engineering shall have essentially the
following categories of courses with the breakup of credits as given:
Credit Breakup
S.No. for R&AI
Category
1 Humanities and Social Sciences including Management courses 11*
2 Basic Science courses 26*
Engineering Science courses including workshop, drawing, basics of 21*
3 electrical/mechanical/computer etc.
4 Professional core courses 62*
5 Professional Elective courses relevant to chosen specialization/branch 4*
Open subjects – Electives from other technical and /or emerging 4*
6 subjects
7 Project work, seminar and internship in industry or elsewhere 14*
8 Laboratory Courses 18*
Mandatory Courses
9 [Environmental Sciences, Induction Program, Indian Constitution, (non-credit)
Essence of Indian Knowledge Tradition]
Total 160*
*Minor variation is allowed as per need of the respective disciplines.
Professional Elective Courses (PEC): Total 2 to be taken, one from each Elective Course Type, based
on individual interest and project.
Open Elective Courses (OEC): Total 2 to be taken, one from each Elective Course Type, based on
individual interest and project.
TOTAL = 160 credits
2
D. Course code and definition:
Course code Definitions

L Lectures
T Tutorials
P Practicals
C Credits
BSC Basic Science Courses
ESC Engineering Science Courses
HSMC Humanities and Social Sciences including Management courses
PCC Professional Core Courses
PEC Professional Elective Courses
OEC Open Elective Courses
LC Laboratory Courses
MC Mandatory Courses
 Course level coding scheme: Three-digit number (odd numbers are for the odd
semester courses and even numbers are for even semester courses) used as suffix with
the Course Code for identifying the level of the course. Digit at hundred’s place signifies
the year in which course is offered. e.g.
101, 102 … etc. for first year.
201, 202 …. Etc. for second year.
301, 302 … for third year.
 Category-wise Courses
HUMANITIES & SOCIAL SCIENCES COURSES [HS] & MANAGEMENT COURSES

(i) Number of Humanities & Social Science Courses: 6
(ii) Credits: 11
Sl. Category Course Course Title Semester Hours per week Credits
No Code L T P
1 HSMC HSMC-101 English for Technical Writing I 2 0 2 3
2 HSMC HSMC-102 Universal Human Values – 2: II 3 0 0 3
Understanding Harmony And
Ethical Human Conduct
3 HSMC HSMC-103 Design Thinking I 0 0 2 1
4 HSMC HSMC-401 Innovation and Creativity IV 1 0 0 1
5 HSMC HSMC-601 Entrepreneurship VI 1 0 0 1
6 HSMC HSMC-701 Intellectual Property Rights VII 2 0 0 2
Total Credits 9 0 4 11
*******
3
BASIC SCIENCE COURSES [BSC] (Total 7)
S.No Category Course Course Title Semester Hours per week Credits
Code L T P
1 BSC BSC-101 Physics- I I 3 1 2 5
2 BSC BSC-102 Maths-I (Linear Algebra and I 3 1 0 4
Univariate calculus)
3 BSC BSC-103 Chemistry-I II 3 1 0 4
4 BSC BSC-104 Maths–II (Ordinary II 3 1 0 4
Differential Equations and
Multivariate Calculus)
5 BSC BSC-301 Vector Calculus and Partial III 2 1 0 3
Differential Equations
6 BSC BSC-401 Probability & Statistics IV 2 1 0 3
7 BSC BSC-402 Biology for Engineers & IV 2 1 0 3
Biomimetics
*******
ENGINEERING SCIENCE COURSES [ESC] (Total 7)
S.No Category Course Course Title Semester Hours per week Credits
Code
L T P
1 ESC ESC-101 Basic Electrical Engineering I 2 1 2 4
2 ESC ESC-102 Engineering Graphics and I 1 0 4 3

Design
3 ESC ESC-103 Programming for Problem II 3 0 4 5
Solving
4 ESC ESC-104 Workshop: Manufacturing II 0 0 3 2
Practice
5 ESC ESC-105 Workshop: Electronics and II 0 0 4 2
Computer
6 ESC ESC-301 Fundamentals of Mechanical III 2 0 0 2
Engineering
7 ESC ESC-302 Electrical Machines & Drives III 2 0 2 3
*******
4
PROFESSIONAL CORE COURSES [PCC] (Total 26)

S. Category Course Code Course Title Hours per week Credits
No
L T P
1 PCC PCC RAI-301 Analog & Digital Electronics 3 0 0 3
2 PCC PCC RAI-302 Fundamentals of Materials 2 0 0 2

Science & Smart Materials
3 PCC PCC RAI-303 Fundamentals of Robotics & AI 3 0 0 3
4 PCC PCC RAI-304 Wireless Networks 1 0 0 1
5 PCC PCC RAI-401 Machine Learning 1 0 2 2
6 PCC PCC RAI-402 Sensors and Actuators for 2 0 0 2
Robotics
7 PCC PCC RAI-403 Microcontrollers and its 2 0 0 2
Applications
8 PCC PCC RAI-404 Signals and Systems 2 0 0 2
9 PCC PCC RAI-405 Robot Safety and Maintenance 2 0 0 2
10 PCC PCC RAI-501 Data Structures, Files and 2 1 0 3
Algorithms
11 PCC PCC RAI-502 Theory of Machines & Machine 3 0 0 3
Design
12 PCC PCC RAI-503 Industrial Electronics and Power 3 0 0 3
Convertors
13 PCC PCC RAI-504 Advances in Robotics and 2 1 0 3
Artificial Intelligence
14 PCC PCC RAI-505 Control Systems 2 0 0 2
15 PCC PCC RAI-506 Hydraulic & Pneumatic Drives for 2 0 2 3
Robots
16 PCC PCC RAI-601 Kinematics of Robotics 3 0 0 3
17 PCC PCC RAI-602 Embedded Systems Design 3 0 0 3
18 PCC PCC RAI-603 Data Science 2 1 0 3
19 PCC PCC RAI-604 Dynamics and Trajectory 2 0 0 2
Planning
20 PCC PCC RAI-605 Robot Operating Systems 1 0 2 2
21 PCC PCC RAI-606 Knowledge Engineering and 2 0 0 2
Expert System
22 PCC PCC RAI-701 Smart Manufacturing 2 0 0 2
23 PCC PCC RAI-702 Internet of Robotic Things (RIoT) 2 0 0 2
24 PCC PCC RAI-703 Data Modeling and Visualization 2 0 0 2
25 PCC PCC RAI-704 Image Processing & Computer 2 0 2 3
Vision
26 PCC PCC RAI-801 Robot System Design and SLAM 2 0 0 2
(Simultaneous Localization and
Area Mapping)
*******
5
PROFESSIONAL ELECTIVE COURSES [PEC]

(Total 2 to be taken, one from each Elective Course Type)
S. Category Code Course Title Hours per week Credits

No
L T P
1 PEC PEC RAI-601 Elective Course-I Mobile and 2 0 0 2
Micro-robotics
(Tract: Robotics)
2 PEC PEC RAI-602 Elective Course-I Data 2 0 0 2
Analytics
(Tract: AI)
3 PEC PEC RAI-603 Elective Course-I Intelligent 2 0 0 2
Manufacturing
(Tract: Mechatronics)
4 PEC PEC RAI-604 Elective Course-I 2 0 0 2
Microcontrollers Architecture
and Programming
(Tract: Control Systems)
5 PEC PEC RAI-801 Elective Course-III Advanced 2 0 0 2
Robotics Programming
(Tract: Robotics)
(Tract: AI)
7 PEC PEC RAI-803 Elective Course-III Micro 2 0 0 2
Electro Mechanical Systems
Control Systems
*******
OPEN ELECTIVE COURSES [OEC]

(Total 2 to be taken, one from each Elective Course Type)
S. Category Code Course Title Hours per week Credits

No
L T P
1 OEC OEC RAI-701 Elective Course-II Autonomous 2 0 0 2
Robotics and Telecherics
(Tract: Robotics)
2 OEC OEC RAI-702 Elective Course-II Deep 2 0 0 2
Learning
(Tract: AI)
3 OEC OEC RAI-703 Elective Course-II Mechatronics 2 0 0 2
System Design
6
4 OEC OEC RAI-704 Elective Course-II Control of 2 0 0 2

Robotic Systems
5 OEC OEC RAI-801 Elective Course-IV Biomedical 2 0 0 2
Robotics
(Tract: Robotics)
6 OEC OEC RAI-802 Elective Course-IV Augmented 2 0 0 2
Reality and Virtual Reality
(Tract: AI)
7 OEC OEC RAI-803 Elective Course-IV Advanced 2 0 0 2
Mechatronics
8 OEC OEC RAI-804 Elective Course-IV Robot 2 0 0 2
Dynamics and Control
*******
ENGINEERING PROJECT (4 Stages)
Sl. Category Course Code Course Title Hours per week Credits
No L T P
1 PROJ PROJ RAI-401 Mini Project 0 0 4 2
3 PROJ PROJ RAI-701 Project Stage – I 0 0 4 2
4 PROJ PROJ RAI-801 Project Stage – II 0 0 16 8
*******
LABORATORY COURSES [LC] (Total 18)
No. L T P
1 LC LC RAI-301 Materials Science Laboratory 0 0 2 1
2 LC LC RAI-302 Analog & Digital Electronics 0 0 2 1
Laboratory
3 LC LC RAI-303 Robot Programming Laboratory 0 0 2 1
4 LC LC RAI-401 Sensors and Actuators Laboratory 0 0 2 1
5 LC LC RAI-402 Microcontrollers & its Applications 0 0 2 1
Laboratory
6 LC LC RAI-403 Signals and Systems Laboratory 0 0 2 1
7 LC LC RAI-501 Control Systems Laboratory 0 0 2 1
8 LC LC RAI-502 Industrial Electronics Laboratory 0 0 2 1
7
9 LC LC RAI-503 Artificial Intelligence Laboratory 0 0 2 1

10 LC LC RAI-504 Hydraulic & Pneumatic Drives 0 0 2 1
Laboratory
11 LC LC RAI-505 Theory of Machines & Mechanism 0 0 2 1
Laboratory
12 LC LC RAI-601 Robotic Simulation Laboratory 0 0 2 1
13 LC LC RAI-602 Embedded Systems Laboratory 0 0 2 1
14 LC LC RAI-701 Smart Manufacturing Laboratory 0 0 2 1
15 LC LC RAI-702 Robotics and AI case studies with 0 0 2 1
RIoT
16 LC LC RAI-703 Data Modeling and Visualization 0 0 2 1
Laboratory
17 LC LC RAI-801 Robot System Design and SLAM 0 0 2 1
Area Mapping) Laboratory
18 LC LC RAI-802 Seminar 0 1 0 1
*******
AUDIT COURSES [AU] (Total 4)
No
. L T P
1 AU AU-102 Sports & Yoga or NSS/NCC 2 0 0 0
(Audit Course)
2 MLC MLC RAI-701 Intellectual Property Rights 1 0 0 0
(Audit Course)
3 LLC LLC RAI-701 Liberal Learning Course 1 0 0 0
(Audit Course)
4 LCC LLC RAI-801 Liberal Learning Course 1 0 0 0
(Audit Course)
Total credits 5 0 0 0
*******
TOTAL = 160 credits | BSC = 18%, ESC = 13%, PCC = 39%, PEC+HSMC+OEC = 11%, PROJ =
9% || LC = 11%
*******
8
9
INDUCTION PROGRAM
The Essence and Details of Induction program can also be understood from the ‘Detailed Guide
on Student Induction program’, as available on AICTE Portal,
(Link:https://www.aicteindia.org/sites/default/files/Detailed%20Guide%20on%20Student
%20Induction%20program.pdf). For more, Refer Appendix III.
Induction program Three-week duration
(mandatory)
Induction program for students • Physical activity

to be offered right at the start of • Creative Arts
the first year. • Universal Human Values
• Literary
• Proficiency Modules
• Lectures by Eminent People
• Visits to local Areas
• Familiarization to Dept./Branch &
Innovations
E. Mandatory Visits/ Workshop/Expert Lectures:

a. It is mandatory to arrange one industrial visit every semester for the students of
each branch.
b. It is mandatory to conduct a One-week workshop during the winter break after

fifth semester on professional/ industry/ entrepreneurial orientation.
c. It is mandatory to organize at least one expert lecture per semester for each
branch by inviting resource persons from domain specific industry.
F. Evaluation Scheme (Suggestive only):

a. For Theory Courses:
(The weightage of Internal assessment is 40% and for End Semester Exam is 60%)
The student has to obtain at least 40% marks individually both in internal
assessment and end semester exams to pass.
b. For Practical Courses:

(The weightage of Internal assessment is 60% and for End Semester Exam is 40%)
The student has to obtain at least 40% marks individually both in internal
assessment and end semester exams to pass.
c. For Summer Internship / Projects / Seminar etc.

Evaluation is based on work done, quality of report, performance in viva-voce,
presentation etc.
Note: The internal assessment is based on the student’s performance in mid semester tests
(two best out of three), quizzes, assignments, class performance, attendance, viva-voce in
practical, lab record etc.
10
G. Mapping of Marks to Grades

Each course (Theory/Practical) is to be assigned 100 marks, irrespective of the number
of credits, and the mapping of marks to grades may be done as per the following table:
Range of Assigned Grade

Marks
91-100 AA/A+
81-90 AB/A
71-80 BB/B+
61-70 BC/B
51-60 CC/C+
46-50 CD/C
40-45 DD/D
< 40 FF/F (Fail due to less marks)
- FR (Fail due to shortage of attendance and therefore, to repeat
the course)
*******
11
Semester wise Structure and

Curriculum for
UG Course
in
Robotics and Artificial
Intelligence Engineering
12
13
SEMESTER- I
Sl. Category Course Course Title Hours per week Credits

No. Code
3 WEEKS COMPULSORY INDUCTION PROGRAM (UHV-I)
L T P
1 BSC BSC-101 Physics-I 3 1 2 5
2 BSC BSC-102 Mathematics-I (Linear 3 1 0 4
Algebra and Univariate
calculus)
3 ESC ESC-101 Basic Electrical Engineering 2 1 2 4
4 ESC ESC-102 Engineering Graphics and 1 0 4 3
Design
5 HSMC HSMC-103 Design Thinking 0 0 2 1
6 HSMC HSMC-101 English for Technical 2 0 2 3
Writing
7 AU AU-101 IDEA Lab Workshop 2 0 4 0
SEMESTER- II
Sl. Category Course Course Title Hours per week Credits

No Code
L T P
1 BSC BSC-103 Chemistry-I 3 0 2 4
2 BSC BSC-104 Mathematics –II (Ordinary 3 1 0 4
Differential Equations and
Multivariate Calculus)
3 ESC ESC-103 Programming for Problem 3 0 4 5
Solving
4 ESC ESC-104 Workshop : Manufacturing 0 0 4 2
Practice
5 ESC ESC-105 Workshop : Electronics and 0 0 4 2
Computer
6 HSMC HSMC-102 Universal Human Values – 2: 3 0 0 3
7 AU AU-102 Sports and Yoga or NSS/NCC 2 0 0 0
14
SEMESTER-III
Sl. Category Course Code Course Title Hours per Credits
No week
L T P
1 BSC BSC-301 Vector Calculus and Partial 2 1 0 3
2 ESC ESC-301 Fundamentals of Mechanical 2 0 0 2
Engineering
3 ESC ESC-302 Electrical Machines & Drives 2 0 2 3
4 PCC PCC RAI-301 Analog & Digital Electronics 3 0 0 3
5 PCC PCC RAI-302 Fundamentals of Materials Science 2 0 0 2
& Smart Materials
6 PCC PCC RAI-303 Fundamentals of Robotics & AI 3 0 0 3
7 PCC PCC RAI-304 Wireless Networks 1 0 0 1
8 LC LC RAI-301 Materials Science Laboratory 0 0 2 1
9 LC LC RAI-302 Analog & Digital Electronics 0 0 2 1
Laboratory
10 LC LC RAI-303 Robot Programming Laboratory 0 0 2 1
SEMESTER-IV
No L T P
1 BSC BSC-401 Probability & Statistics 2 1 0 3
2 BSC BSC-402 Biology for Engineers & 2 1 0 3
Biomimetics
3 PCC PCC RAI-401 Machine Learning 1 0 2 2
4 PCC PCC RAI-402 Sensors and Actuators for 2 0 0 2
Robotics
5 PCC PCC RAI-403 Microcontrollers and its 2 0 0 2
Applications
6 PCC PCC RAI-404 Signals and Systems 2 0 0 2
7 PCC PCC RAI-405 Robot Safety and Maintenance 2 0 0 2
8 LC LC RAI-401 Sensors and Actuators Laboratory 0 0 2 1
9 LC LC RAI-402 Microcontrollers & its 0 0 2 1
Applications Laboratory
10 LC LC RAI-403 Signals and Systems Laboratory 0 0 2 1
12 HSMC HSMC-401 Innovation and Creativity 1 0 0 1
15
SEMESTER-V
No. L T P
1 PCC PCC RAI-501 Data Structures, Files and 2 1 0 3
Algorithms
2 PCC PCC RAI-502 Theory of Machines & Machine 3 0 0 3
Design
3 PCC PCC RAI-503 Industrial Electronics and Power 3 0 0 3
Convertors
4 PCC PCC RAI-504 Advances in Robotics and Artificial 2 1 0 3
Intelligence
5 PCC PCC RAI-505 Control Systems 2 0 0 2
6 PCC PCC RAI-506 Hydraulic & Pneumatic Drives for 2 0 2 3
Robots
7 LC LC RAI-501 Control Systems Laboratory 0 0 2 1
8 LC LC RAI-502 Industrial Electronics Laboratory 0 0 2 1
9 LC LC RAI-503 Artificial Intelligence Laboratory 0 0 2 1
10 LC LC RAI-504 Hydraulic & Pneumatic Drives 0 0 2 1
Laboratory
11 LC LC RAI-505 Theory of Machines & Mechanism 0 0 2 1
Laboratory
SEMESTER-VI
No.
L T P
1 PCC PCC RAI-601 Kinematics of Robotics 3 0 0 3
2 PCC PCC RAI-602 Embedded Systems Design 3 0 0 3
3 PCC PCC RAI-603 Data Science 2 1 0 3
4 PCC PCC RAI-604 Dynamics and Trajectory 2 0 0 2
Planning
5 PCC PCC RAI-605 Robot Operating Systems 1 0 2 2
6 PCC PCC RAI-606 Knowledge Engineering and 2 0 0 2
Expert System
7 PEC PEC Elective-I 2 0 0 2
8 LC LC RAI-601 Robotic Simulation Laboratory 0 0 2 1
9 LC LC RAI-602 Embedded Systems Laboratory 0 0 2 1
11 HSMC HSMC-601 Entrepreneurship 1 0 0 1
16
Sr. No. Course Code Course Specialization / Track Elective Course -I

1 PEC RAI-601 Robotics Mobile and Micro Robotics
2 PEC RAI-602 AI Data Analytics
3 PEC RAI-603 Mechatronics Intelligent Manufacturing
4 PEC RAI-604 Control Systems Microcontrollers Architecture and

Programming
SEMESTER-VII
Sl. Category Code Course Title Hours per week Credits
No
L T P
1 PCC PCC RAI-701 Smart Manufacturing 2 0 0 2
2 PCC PCC RAI-702 Internet of Robotic Things (RIoT) 2 0 0 2
3 PCC PCC RAI-703 Data Modeling and Visualization 2 0 0 2
4 PCC PCC RAI-704 Image Processing & Computer 2 0 2 3
Vision
5 OEC OEC Elective - II 2 0 0 2
6 LC LC RAI-701 Smart Manufacturing Laboratory 0 0 2 1
7 LC LC RAI-702 Robotics and AI case studies with 0 0 2 1
RIoT
8 LC LC RAI-703 Data Modeling and Visualization 0 0 2 1
Laboratory
9 PROJ PROJ RAI-701 Internship/ Project Stage – I 0 0 4 2
10 HSMC HSMC RAI-701 Intellectual Property Rights 2 0 0 2
(Audit Course)
11 LLC LLC RAI-701 Liberal Learning Course (Audit 1 0 0 0
Course)
Sr. No. Course Code Course Elective Course -II

Specialization/Track
1 OEC RAI-701 Robotics Autonomous Robotics and Telecherics
2 OEC RAI-702 AI Deep Learning
3 OEC RAI-703 Mechatronics Mechatronics System Design
4 OEC RAI-704 Control Systems Control of Robotic Systems
17
SEMESTER-VIII
Sl. Category Code Course Title Hours per week Credits
No
L T P
1 PCC PCC RAI-801 Robot System Design and SLAM 2 0 0 2
Area Mapping)
2 PEC PEC Elective -III 2 0 0 2
3 OEC OEC Elective - IV 2 0 0 2
4 LC LC RAI-801 Robot System Design and SLAM 0 0 2 1
Area Mapping) Laboratory
5 PROJ PROJ RAI-801 Project Stage – II 0 0 16 8
6 LC LC RAI-802 Seminar 0 1 0 1
7 LCC LLC RAI-801 Liberal Learning Course 1 0 0 0
(Audit Course)
Sr. Course Code Course Elective Course -III

No. Specialization/Track
1 PEC RAI-801 Robotics Advanced Robotics Programming
2 PEC RAI-802 AI Advanced Artificial Intelligence
3 PEC RAI-803 Mechatronics Micro Electro Mechanical Systems
4 PEC RAI-804 Control Systems Advanced Control System
Sr. Course Code Course Elective Course IV

No. Specialization/Track
1 OEC RAI-801 Robotics Biomedical Robotics
2 OEC RAI-802 AI Augmented Reality and Virtual Reality
3 OEC RAI-803 Mechatronics Advanced Mechatronics
4 OEC RAI-804 Control Systems Robot Dynamics and Control
 Total = 160 Credits
18
19
SEMESTER – I
20
21
SEMESTER I
BSC-101 Physics-I 3L:1T:2P 5 Credits
Course Objective:
To enhance the fundamental knowledge in Physics and its applications relevant to various streams of
Engineering and Technology.
1. Introduction to Electromagnetic Theory

Pre-requisites (if any): Mathematics course with vector calculus
Module I: Electrostatics in vacuum
Calculation of electric field and electrostatic potential for a charge distribution; Divergence and curl
of electrostatic field; Laplace’s and Poisson’s equations for electrostatic potential and uniqueness of
their solution and connection with steady state diffusion and thermal conduction; Practical examples
like Faraday’s cage and coffee-ring effect; Boundary conditions of electric field and electrostatic
potential; method of images; energy of a charge distribution and its expression in terms of electric
field.
Module II: Electrostatics in a linear dielectric medium
Electrostatic field and potential of a dipole. Bound charges due to electric polarization; Electric
displacement; boundary conditions on displacement; Solving simple electrostatics problems in
presence of dielectrics – Point charge at the center of a dielectric sphere, charge in front of a dielectric
slab, dielectric slab and dielectric sphere in uniform electric field.
Module III: Magneto statics
Bio-Savart law, Divergence and curl of static magnetic field; vector potential and calculating it for a
given magnetic field using Stokes’ theorem; the equation for the vector potential and its solution for
given current densities.
Module IV: Magneto statics in a linear magnetic medium
Magnetization and associated bound currents; auxiliary magnetic field H; Boundary conditions on B
and H. Solving for magnetic field due to simple magnets like a bar magnet; magnetic susceptibility
and ferromagnetic, paramagnetic and diamagnetic materials; Qualitative discussion of magnetic field
in presence of magnetic materials.
Module V: Faraday’s law
Faraday’s law in terms of EMF produced by changing magnetic flux; equivalence of Faraday’s law
and motional EMF; Lenz’s law; Electromagnetic breaking and its applications; Differential form of
Faraday’s law expressing curl of electric field in terms of time-derivative of magnetic field and
calculating electric field due to changing magnetic fields in quasi-static approximation; energy stored
in a magnetic field.
22
Module VI: Displacement current, Magnetic field due to time-dependent electric field and
Maxwell’s equations
Continuity equation for current densities; Modifying equation for the curl of magnetic field to satisfy
continuity equation; displace current and magnetic field arising from time dependent electric field;
calculating magnetic field due to changing electric fields in quasistatic approximation. Maxwell’s
equation in vacuum and non-conducting medium; Energy in an electromagnetic field; Flow of energy
and Pointing vector with examples. Qualitative discussion of momentum in electromagnetic fields.
Module VII: Electromagnetic waves
The wave equation; Plane electromagnetic waves in vacuum, their transverse nature and polarization;
relation between electric and magnetic fields of an electromagnetic wave; energy carried by
electromagnetic waves and examples. Momentum carried by electromagnetic waves and resultant
pressure. Reflection and transmission of electromagnetic waves from a non-conducting medium-
vacuum interface for normal incidence.
Laboratory/ Practicals:
Choice of experiments from the following:
1. Experiments on electromagnetic induction and electromagnetic braking;

2. LC circuit and LCR circuit;
3. Resonance phenomena in LCR circuits;
4. Magnetic field from Helmholtz coil;
5. Measurement of Lorentz force in a vacuum tube.
Text Books/Suggested References:
1. David Griffiths, Introduction to Electrodynamics

2. Halliday and Resnick, Physics
3. W. Saslow, Electricity, magnetism and light
Alternative NPTEL/SWAYAM Course:
S. No. NPTEL Course Name Instructor Host Institute

1 INTRODUCTION TO PROF. MANOJ HARBOLA IIT KANPUR
ELECTROMAGNETIC THEORY
23
EXPERIMENTS THAT MAY BE PERFORMED THROUGH VIRTUAL LABS:
S. No. Experiment Name Experiment Link(s)
1 LC circuit and LCR circuit;

1. http://vlab.amrita.edu/?sub=1&brch=75&si
m=326&cnt=1
m=330&cnt=1
m=318&cnt=1
m=325&cnt=1
5. http://vlabs.iitkgp.ernet.in/asnm/exp12/inde
x.htm
2 Resonance phenomena in LCR http://vlab.amrita.edu/?sub=1&brch=75&sim=325&

circuits cnt=1
*****
2. Introduction to Mechanics
Pre-requisites (if any): High School Education
Module I
Transformation of scalars and vectors under Rotation transformation; Forces in Nature; Newton’s
laws and its completeness in describing particle motion; Form invariance of Newton’s Second Law;
Solving Newton’s equations of motion in polar coordinates; Problems including constraints and
friction; Extension to cylindrical and spherical coordinates.
Module II
Potential energy function; F = - Grad V, equipotential surfaces and meaning of gradient; Conservative
and non-conservative forces, curl of a force field; Central forces; Conservation of Angular
Momentum; Energy equation and energy diagrams; Elliptical, parabolic and hyperbolic orbits;
Kepler problem; Application: Satellite manoeuvres;
24
Module III
Non-inertial frames of reference; Rotating coordinate system: Five-term acceleration formula.

Centripetal and Coriolis accelerations; Applications: Weather systems, Foucault pendulum;
Module IV
Harmonic oscillator; Damped harmonic motion – over-damped, critically damped and lightly-
damped oscillators; Forced oscillations and resonance.
Module V
Definition and motion of a rigid body in the plane; Rotation in the plane; Kinematics in a coordinate
system rotating and translating in the plane; Angular momentum about a point of a rigid body in
planar motion; Euler’s laws of motion, their independence from Newton’s laws, and their necessity
in describing rigid body motion; Examples.
Module VI
Introduction to three-dimensional rigid body motion — only need to highlight the distinction from
two-dimensional motion in terms of (a) Angular velocity vector, and its rate of change and (b)
Moment of inertia tensor; Three-dimensional motion of a rigid body wherein all points move in a
coplanar manner: e.g. Rod executing conical motion with center of mass fixed — only need to show
that this motion looks two-dimensional but is three-dimensional, and two-dimensional formulation
fails.
Laboratory - Introduction to Mechanics
Suggested list of experiments from the following:

1. Coupled oscillators;
2. Experiments on an air-track;
3. Experiment on moment of inertia measurement,
4. Experiments with gyroscope;
5. Resonance phenomena in mechanical oscillators.
TEXTBOOKS/REFERENCES:
1. Engineering Mechanics, 2nd edition — MK Harbola

2. Introduction to Mechanics — MK Verma
3. An Introduction to Mechanics — D Kleppner & R Kolenkow
4. Principles of Mechanics — JL Synge & BA Griffiths
5. Mechanics — JP Den Hartog
6. Engineering Mechanics - Dynamics, 7th ed. - JL Meriam
7. Mechanical Vibrations — JP Den Hartog
8. Theory of Vibrations with Applications — WT Thomson
25

1 ENGINEERING MECHANICS PROF. MANOJ HARBOLA IIT KANPUR
1 Experiment on moment of inertia https://vlab.amrita.edu/?sub=1&brch=74&sim=571&

measurement. cnt=1
3. Quantum Mechanics for Engineers
Pre-requisites (if any): Mathematics Course on Differential equations & linear algebra
Module I: Wave nature of particles and the Schrodinger equation
Introduction to Quantum mechanics, Wave nature of Particles, Time-dependent and time independent
Schrodinger equation for wave function, born interpretation, probability current, Expectation values,
Free-particle wave function and wave-packets, Uncertainty principle.
Module II: Mathematical Preliminaries for quantum mechanics
Complex numbers, Linear vector spaces, inner product, operators, eigenvalue problems, Hermitian
operators, Hermite polynomials, Legendre’s equation, spherical harmonics.
Module III: Applying the Schrodinger equation
Solution of stationary-state Schrodinger equation for one dimensional problems– particle in a box,
particle in attractive delta-function potential, square-well potential, linear harmonic oscillator.
Numerical solution of stationary-state Schrodinger equation for one dimensional problems for
different potentials Scattering from a potential barrier and tunneling; related examples like alpha-
decay, field ionization and scanning tunneling microscope Three-dimensional problems: particle in
three dimensional box and related examples, Angular momentum operator, Rigid Rotor, Hydrogen
atom ground-state, orbitals, interaction with magnetic field, spin, Numerical solution stationary-state
radial Schrodinger equation for spherically symmetric potentials.
Module IV: Introduction to molecular bonding
Particle in double delta-function potential, Molecules (hydrogen molecule, valence bond and
molecular orbitals picture), singlet/triplet states, chemical bonding, hybridization.
26
Module V: Introduction to solids
Free electron theory of metals, Fermi level, density of states, Application to white dwarfs and neutron
stars, Bloch’s theorem for particles in a periodic potential, Kronig-Penney model and origin of energy
bands Numerical solution for energy in one-dimensional periodic lattice by mixing plane waves.
Laboratory - Quantum Mechanics for Engineers
Suggested list of experiments: Frank-Hertz experiment; photoelectric effect experiment; recording hydrogen
atom spectrum.
1. Eisberg and Resnick, Introduction to Quantum Physics

2. D. J. Griffiths, Quantum mechanics
3. Richard Robinett, Quantum Mechanics
4. Daniel McQuarrie, Quantum Chemistry

1 INTRODUCTION TO PROF. MANOJ IIT KANPUR

ELECTROMAGNETIC HARBOLA
THEORY
2 QUANTUM MECHANICS I PROF. P. RAMADEVI IIT BOMBAY
1 Photoelectric effect experiment. http://mpv-au.vlabs.ac.in/modern-

physics/Photo_Electric_Effect/
*****
27
4. Oscillations, waves and optics
Pre-requisites (if any): Mathematics Course on Differential equations
Module I: Simple harmonic motion, damped and forced simple harmonic oscillator
Mechanical and electrical simple harmonic oscillators, complex number notation and phasor
representation of simple harmonic motion, damped harmonic oscillator – heavy, critical and light
damping, energy decay in a damped harmonic oscillator, quality factor, forced mechanical and
electrical oscillators, electrical and mechanical impedance, steady state motion of forced damped
harmonic oscillator, power absorbed by oscillator.
Module II: Non-dispersive transverse and longitudinal waves in one dimension and
introduction to dispersion
Transverse wave on a string, the wave equation on a string, Harmonic waves, reflection and
transmission of waves at a boundary, impedance matching, standing waves and their Eigen
frequencies, longitudinal waves and the wave equation for them, acoustics waves and speed of sound,
standing sound waves. Waves with dispersion, water waves, superposition of waves and Fourier
method, wave groups and group velocity.
Module III: The propagation of light and geometric optics

Fermat’s principle of stationary time and its applications e.g. in explaining mirage effect, laws of
reflection and refraction, Light as an electromagnetic wave and Fresnel equations, reflectance and
transmittance, Brewster’s angle, total internal reflection, and evanescent wave. Mirrors and lenses
and optical instruments based on them, transfer formula and the matrix method.
Module IV: Wave optics

Huygens’ principle, superposition of waves and interference of light by wave front splitting and
amplitude splitting; Young’s double slit experiment, Newton’s rings, Michelson interferometer,
Mach-Zehnder interferometer.
Farunhofer diffraction from a single slit and a circular aperture, the Rayleigh criterion for limit of
resolution and its application to vision; Diffraction gratings and their resolving power.
Module V: Lasers
Einstein’s theory of matter radiation interaction and A and B coefficients; amplification of light by
population inversion, different types of lasers: gas lasers (He-Ne, CO2), solid-state lasers (ruby,
Neodymium), dye lasers; Properties of laser beams: mono-chromaticity, coherence, directionality
and brightness, laser speckles, applications of lasers in science, engineering and medicine.
Laboratory - Oscillations, waves and optics

Suggested list of experiments from the following:
● Diffraction and interference experiments (from ordinary light or laser pointers); measurement
of speed of light on a table top using modulation; minimum deviation from a prism.
28
1. Ian G. Main, Oscillations and waves in physics

2. H.J. Pain, The physics of vibrations and waves
3. E. Hecht, Optics
4. A. Ghatak, Optics
5. O. Svelto, Principles of Lasers

S. No. NPTEL Course Name Instructor Host
Institute
1 WAVES AND OSCILLATIONS PROF. M. S. SANTHANAM IISER PUNE
1 Diffraction and interference experiments http://ov-

(from ordinary light or laser pointers). au.vlabs.ac.in/optics/Diffraction_Grating/
2 Minimum deviation from a prism. http://ov-

au.vlabs.ac.in/optics/Spectrometer_i_d_Cu
rve/
******
29
BSC-102 Maths-I (Linear Algebra 3L:1T:0P 4 Credits

& Univariate Calculus)
Course Content:
Module I: Matrices and linear equations:

Basic properties of matrices, row operations and Gauss elimination, Determinants and their basic
properties. Basic concepts in linear algebra: vector spaces, subspaces, linear independence and
dependence of vectors, bases, dimensions. Row and Column spaces, rank, Applications to systems
of linear equations.
Module II: Eigenvalues and Eigenvectors:

Linear mappings, representation by matrices, rank-nullity theorem, Eigenvalues, Eigen vectors and
their basic properties, diagonalization.
Module III: Calculus Theorems:

Review of limits, continuity and differentiability, Mean value theorems, Taylor's theorem, local
extrema, increasing and decreasing functions, concavity, points of inflection.
Module IV: Calculus Theorems:

Integrals as limits of Riemann sums, fundamental theorem of calculus, surface area, integrals by
special techniques: reduction formulae, arc length, solids of revolution, improper integrals, tests for
convergence, Gamma and Beta functions.
Suggested Text Books:
(i) Thomas’ Calculus (12th edition) by Maurice D. Weir, Joel Hass, Frank R. Giordano,
Pearson Education.
(ii) Advanced Engineering Mathematics (10th edition) by Erwin Kreyszig, Wiley eastern Ltd.
Suggested Reference Books:
(i) Serge Lang, “Introduction to Linear Algebra (2nd edition)”, Springer, 2005.
(ii) Howard Anton and Chris Rorres, “Elementary Linear Algebra (10th edition)”, John Wiley
and sons, 2010.
(iii) K.D Joshi, “Calculus for Scientists and Engineers”, CRC Press, 2002.
(iv) Sudhir Ghorpade and Balmohan Limaye, “A Course in Calculus and Real Analysis (1st
edition)”, Springer-Verlag, New York.
(v) C.R. Wylie, “Advanced Engineering Mathematics”, McGraw Hill Publications, New
Delhi, 2017.
(vi) Peter V. O’ Neil, “Advanced Engineering Mathematics (7th edition)”, Thomson. Brooks /
Cole, Singapore, 1991.
(vii) Shanti Narayan, “Differential Calculus”, S. Chand and company, New Delhi.
(viii) P.N. Wartikar and J.N. Wartikar, “Applied Mathematics Vol. I”, Pune Vidyarthi Griha
Prakashan Pune, 2014.
30
Course Outcomes:
After completion of this course, the students will be able to:
● Understand and apply basic concepts. (To measure this outcome, questions may be of the
type- explain, describe, illustrate, evaluate, give examples, compute etc.)
● Apply core concepts to new situations. (To measure this outcome, some questions will be
based on self-study topics and also comprehension of unseen passages.)
● Give reasoning. (To measure this outcome, questions may be of the type- true/false with
justification, theoretical fill in the blanks, theoretical problems, prove implications or
corollaries of theorems, etc.)
● Analyse the problem and apply the appropriate concept. (To measure this outcome, questions
will be based on applications of core concepts.
******
31
ESC-101 Basic Electrical 2L:1T:2P 4 Credits

Engineering
Course Objective:
The objective of this Course is to provide the students with an introductory and broad treatment of
the field of Electrical Engineering.
Course Contents:
Module I: D. C. Circuits covering, Ohm's Law and Kirchhoff’s Laws; Analysis of series, parallel and
series-parallel circuits excited by independent voltage sources; Power and energy; Electromagnetism
covering, Faradays Laws, Lenz's Law, Fleming's Rules, Statically and dynamically induced EMF;
Concepts of self-inductance, mutual inductance and coefficient of coupling; Energy stored in
magnetic fields;
Module II: Single Phase A.C. Circuits covering, Generation of sinusoidal voltage- definition of
average value, root mean square value, form factor and peak factor of sinusoidal voltage and current
and phasor representation of alternating quantities; Analysis with phasor diagrams of R, L, C, RL,
RC and RLC circuits; Real power, reactive power, apparent power and power factor, series, parallel
and series- parallel circuits; Three Phase A.C. Circuits covering, Necessity and Advantages of three
phase systems, Generation of three phase power, definition of Phase sequence, balanced supply and
balanced load; Relationship between line and phase values of balanced star and delta connections;
Power in balanced three phase circuits, measurement of power by two wattmeter method;
Module III: Transformers covering, Principle of operation and construction of single phase
transformers (core and shell types). EMF equation, losses, efficiency and voltage regulation;
Synchronous Generators covering, Principle of operation; Types and constructional features; EMF
equation;
Module IV: DC Machines covering, working principle of DC machine as a generator and a motor;
Types and constructional features; EMF equation of generator, relation between EMF induced and
terminal voltage enumerating the brush drop and drop due to armature reaction; DC motor working
principle; Back EMF and its significance, torque equation; Types of D.C. motors, characteristics and
applications; Necessity of a starter for DC motor;
Module V: Three Phase Induction Motors covering; Concept of rotating magnetic field; Principle of
operation, types and constructional features; Slip and its significance; Applications of squirrel cage
and slip ring motors; Necessity of a starter, star-delta starter.
Module VI: Sources of Electrical Power covering, Introduction to Wind, Solar, Fuel cell, Tidal, Geo-
thermal, Hydroelectric, Thermal-steam, diesel, gas, nuclear power plants; Concept of cogeneration,
and distributed generation;
TEXT/REFERENCS BOOKS:
1. Nagrath I.J. and D. P. Kothari (2001), Basic Electrical Engineering, Tata McGraw Hill.
2. Hayt and Kimberly, Engineering Circuit Analysis, Tata McGraw Hill.
3. Kulshreshtha D.C. (2009), Basic Electrical Engineering, Tata McGraw Hill.
32
4. Rajendra Prasad (2009), Fundamentals of Electrical Engineering, Prentice Hall, India Hughes, E.
2005)
1 BASIC ELECTRIC CIRCUITS PROF. ANKUSH

IIT KANPUR
SHARMA
2 BASIC ELECTRICAL CIRCUITS PROF. NAGENDRA

IITM
KRISHNAPURA
3 FUNDAMENTALS OF PROF. DEBAPRIYA

IIT KGP
ELECTRICAL ENGINEERING DAS
COURSE OUTCOMES:
The students will learn:
1. To explain strong basics of Electrical Engineering and practical implementation of Electrical

fundamentals.
2. To identify different applications of commonly used electrical machinery.
******
33
ESC-102 Engineering Graphics & 1L:0T:4P 3 Credits

Design
COURSE OBJECTIVE(S):
The objective of this Course is to provide the basic knowledge about Engineering Drawing. Detailed
concepts are given in projections, technical drawing, dimensioning and specifications, so useful for
a student in preparing for an engineering career.
COURSE CONTENTS:
Traditional Engineering Graphics: Principles of Engineering Graphics; Orthographic Projection;

Descriptive Geometry; Drawing Principles; Isometric Projection; Surface Development; Perspective;
Reading a Drawing; Sectional Views; Dimensioning & Tolerances; True Length, Angle; intersection,
Shortest Distance.
Computer Graphics: Engineering Graphics Software; -Spatial Transformations; Orthographic

Projections; Model Viewing; Co-ordinate Systems; Multi-view Projection; Exploded Assembly;
Model Viewing; Animation; Spatial Manipulation; Surface Modelling; Solid Modelling; Introduction
to Building Information Modelling (BIM).
(Except the basic essential concepts, most of the teaching part can happen concurrently in the
laboratory)
Module I: Introduction to Engineering Drawing
Principles of Engineering Graphics and their significance, usage of Drawing instruments, lettering,
Conic sections including the Rectangular Hyperbola (General method only); Cycloid, Epicycloid,
Hypocycloid and Involute; Scales – Plain, Diagonal and Vernier Scales;
Module II: Orthographic Projections
Principles of Orthographic Projections-Conventions - Projections of Points and lines inclined to both

planes; Projections of planes inclined Planes - Auxiliary Planes;
Module III: Projections of Regular Solids
Covering those inclined to both the Planes- Auxiliary Views; Draw simple annotation, dimensioning
and scale. Floor plans that include: windows, doors, and fixtures such as WC, bath, sink, shower, etc.
Module IV: Sections and Sectional Views of Right Angular Solids
Prism, Cylinder, Pyramid, Cone – Auxiliary Views; Development of surfaces of Right Regular Solids
- Prism, Pyramid, Cylinder and Cone; Draw the sectional orthographic views of geometrical solids,
objects from industry and dwellings (foundation to slab only).
34
Module V: Isometric Projections
Principles of Isometric projection – Isometric Scale, Isometric Views, Conventions; Isometric Views
of lines, Planes, Simple and compound Solids; Conversion of Isometric Views to Orthographic Views
and Vice-versa, Conventions;
Module VI: Overview of Computer Graphics
Listing the computer technologies that impact on graphical communication, Demonstrating

knowledge of the theory of CAD software [such as: The Menu System, Toolbars (Standard, Object
Properties, Draw, Modify and Dimension), Drawing Area (Background, Crosshairs, Coordinate
System), Dialog boxes and windows, Shortcut menus (Button Bars), The Command Line (where
applicable), The Status Bar, Different methods of zoom as used in CAD, Select and erase objects.;
Isometric Views of lines, Planes, Simple and compound Solids];
Module VII: Customisation & CAD Drawing
Consisting of set up of the drawing page and the printer, including scale settings, setting up of
Modules and drawing limits; ISO and ANSI standards for coordinate dimensioning and tolerancing;
Orthographic constraints, Snap to objects manually and automatically; Producing drawings by using
various coordinate input entry methods to draw straight lines, Applying various ways of drawing
circles;
Module VIII: Annotations, layering & other functions
Covering applying dimensions to objects, applying annotations to drawings; Setting up and use of
Layers, layers to create drawings, Create, edit and use customized layers; Changing line lengths
through modifying existing lines (extend/lengthen); Printing documents to paper using the print
command; orthographic projection techniques; Drawing sectional views of composite right regular
geometric solids and project the true shape of the sectioned surface; Drawing annotation, Computer-
aided design (CAD) software modeling of parts and assemblies. Parametric and non-parametric solid,
surface, and wireframe models. Part editing and two-dimensional documentation of models. Planar
projection theory, including sketching of perspective, isometric, multiview, auxiliary, and section
views. Spatial visualization exercises. Dimensioning guidelines, tolerancing techniques;
dimensioning and scale multi views of dwelling;
Module IX: Demonstration of a simple team design project that illustrates
Geometry and topology of engineered components: creation of engineering models and their
presentation in standard 2D blueprint form and as 3D wire-frame and shaded solids; meshed
topologies for engineering analysis and tool-path generation for component manufacture; geometric
dimensioning and tolerancing; Use of solid-modeling software for creating associative models at the
component and assembly levels; floor plans that include: windows, doors, and fixtures such as WC,
bath, sink, shower, etc. Applying colour coding according to building drawing practice; Drawing
sectional elevation showing foundation to ceiling; Introduction to Building Information Modelling
(BIM).
35
Text/Reference Books:
1. Bhatt N.D., Panchal V.M. & Ingle P.R., (2014), Engineering Drawing, Charotar Publishing
House.
2. Shah, M.B. & Rana B.C. (2008), Engineering Drawing and Computer Graphics, Pearson
Education.
3. Agrawal B. & Agrawal C. M. (2012), Engineering Graphics, TMH Publication
4. Narayana, K.L. & P Kannaiah (2008), Text book on Engineering Drawing, Scitech Publishers.
5. (Corresponding set of) CAD Software Theory and User Manuals.

ENGINEERING DRAWING
PROF. RAJARAM IIT
1 AND COMPUTER
LAKKARAJU KHARAGPUR
GRAPHICS
PROF. NIHAR RANJAN

2 IIT KANPUR ENGINEERING GRAPHICS
PATRA
Course Outcomes:
All phases of manufacturing or construction require the conversion of new ideas and design concepts
into the basic line language of graphics. Therefore, there are many areas (civil, mechanical, electrical,
architectural and industrial) in which the skills of the CAD technicians play major roles in the design
and development of new products or construction. Students prepare for actual work situations through
practical training in a new state-of-the-art computer designed CAD laboratory using engineering
software. This course is designed to address:
● to prepare you to design a system, component, or process to meet desired needs within realistic
constraints such as economic, environmental, social, political, ethical, health and safety,
manufacturability, and sustainability
● to prepare you to communicate effectively
● to prepare you to use the techniques, skills, and modern engineering tools necessary for
engineering practice
The students will learn:

● To describe engineering design and its place in society.
● To discuss the visual aspects of engineering design.
● To use engineering graphics standards.
● To illustrate solid modelling.
● To use computer-aided geometric design.
● To design creating working drawings.
● To inspect engineering communication.
***********
36
HSMC-103 Design Thinking 0L:0T:2P 1 Credit
Detailed Content:
Module 1: An Insight to Learning:
Understanding the Learning Process, Kolb’s Learning Styles, Assessing and Interpreting,
Remembering Memory, Understanding the Memory process, Problems in retention, Memory
enhancement techniques, Experience & Expression Understanding Emotions: Experience &
Expression, Assessing Empathy, Application with Peers.
Module 2: Basics of Design Thinking:
Definition of Design Thinking, need for Design Thinking, Objective of Design Thinking, Concepts
& Brainstorming, Stages of Design Thinking Process (explain with examples) – Being Ingenious &
Fixing Problem: Empathize, Define, Ideate, Prototype, Test, Understanding Creative thinking
process, Understanding Problem Solving, Testing Creative Problem Solving.
Module 3: Process of Product Design:
Process of Engineering Product Design, Design Thinking Approach, Stages of Product Design,
Examples of best product designs and functions, Assignment – Engineering Product Design.
Prototyping & Testing: Prototype and its need, Rapid Prototype Development process, Testing,
Sample Example, Test Group Marketing.
Module 4: Celebrating the Difference Understanding:
Individual differences & Uniqueness Group Discussion and Activities to encourage the
understanding, acceptance and appreciation of Individual differences.
Module 5: Design Thinking & Customer Centricity:
Practical Examples of Customer Challenges, Use of Design Thinking to Enhance Customer

Experience, Parameters of Product experience, Alignment of Customer Expectations with Product
Design.
Module 6: Feedback, Re-Design & Re-Create:
Feedback loop, Focus on User Experience, Address “ergonomic challenges, User focused design,
rapid prototyping & testing, final product, Final Presentation – “Solving Practical Engineering
Problem through Innovative Product Design & Creative Solution”.
(i) Den Dekker Teun, “Design Thinking”, Wolters-Noordhoff B.V., Dec, 2020.
(ii) Pavan Soni , “Design Your Thinking: The Mindsets, Toolsets and Skill Sets for Creative
Problem-solving” , Penguin Random House India Private Limited, 23 December 2020.
37
(i) Prof. Karl Ulrich, U. Penn, “Design: Creation of Artifacts in Society by Change”, Oct,
2012.
(ii) Tim Brown, “Change by Design: How Design Thinking Transforms Organizations and
Inspires Innovation”, Kindle edition, 2009.
Course Outcomes:
At the end of this course, the students will be able to:
● Compare and classify the various learning styles and memory techniques and Apply them in
their engineering education.
● Develop new ways of creative thinking and Learn the innovation cycle of Design Thinking
process for developing innovative products.
● Propose real-time innovative engineering product designs and Choose appropriate
frameworks, strategies, techniques during prototype development.
● Perceive individual differences and its impact on everyday decisions and further Create a
better customer experience.
● Analyze emotional experience and Inspect emotional expressions to better understand users
while designing innovative products.
******
38
HSMC-101 English 2L:0T:2P 3 Credits
Course Objective:
● To provide learning environment to practice listening, speaking, reading and writing skills.
● To assist the students to carry on the tasks and activities through guided instructions and materials.
● To effectively integrate English language learning with employability skills and training.
● To provide hands-on experience through case-studies, mini-projects, group and individual
presentations.
Course Content:
Module I: Vocabulary Building

1.1. The concept of Word Formation
1.2. Root words from foreign languages and their use in English
1.3. Acquaintance with prefixes and suffixes from foreign languages in English to form
derivatives.
1.4. Synonyms, antonyms, and standard abbreviations.
Module II: Basic Writing Skills

1.1. Sentence Structures
1.2. Use of phrases and clauses in sentences
1.3. Importance of proper punctuation
1.4. Creating coherence
1.5. Organizing principles of paragraphs in documents
1.6. Techniques for writing precisely
Module III: Identifying Common Errors in Writing

1.1. Subject-verb agreement
1.2. Noun-pronoun agreement
1.3. Misplaced modifiers
1.4. Articles
1.5. Prepositions
1.6. Redundancies
1.7. Clichés
Module IV: Nature and Style of sensible Writing
1.1. Describing
1.2. Defining
1.3. Classifying
1.4. Providing examples or evidence
1.5. Writing introduction and conclusion
Module V: Writing Practices

1.1. Comprehension
39
1.2. Précis Writing

1.3. Essay Writing
Module VI: Oral Communication

(This Module involves interactive practice sessions in Language Lab)
● Listening Comprehension
● Pronunciation, Intonation, Stress and Rhythm
● Common Everyday Situations: Conversations and Dialogues
● Communication at Workplace
● Interviews
● Formal Presentations
1. Practical English Usage. Michael Swan. OUP. 1995.

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

ENGLISH LANGUAGE FOR PROF. AYSHA

1 IIT MADRAS
COMPETITIVE EXAMS IQBAL
TECHNICAL ENGLISH FOR PROF. AYSHA

2. IIT MADRAS
ENGINEERS IQBAL
Course Outcomes: The student will acquire basic proficiency in English including reading and
listening comprehension, writing and speaking skills.
*****
40
AU-101 IDEA Lab Workshop 2L:0T:4P 0 Credit
Course Objectives:
1. To learn all the skills associated with the tools and inventory associated with the IDEA Lab.
2. Learn useful mechanical and electronic fabrication processes.
3. Learn necessary skills to build useful and standalone system/ project with enclosures.
4. Learn necessary skills to create print and electronic documentation for the system/project
Course Contents:
Unit # Topics
1. Electronic component familiarization,

Understanding electronic system design Introduction to basic hand tools - Tape
flow. Schematic design and PCB layout measure, combination square, Vernier caliper,
and Gerber creation using EagleCAD. hammers, fasteners, wrenches, pliers, saws,
Documentation using Doxygen, Google tube cutter, chisels, vice and clamps, tapping
Docs, Overleaf. Version control tools -
and threading. Adhesives
GIT and GitHub.
Basic 2D and 3D designing using CAD Introduction to Power tools: Power saws, band
tools such as FreeCAD, Sketchup, Prusa saw, jigsaw, angle grinder, belt sander, bench
Slicer, FlatCAM, Inkspace, OpenBSP and grinder, rotary tools. Various types of drill bits,
VeriCUT.
Familiarization and use of basic Mechanical cutting processes - 3-axis CNC

measurement instruments - DSO including routing, basic turning, milling, drilling and
2.
various triggering modes, DSO probes, grinding operations, Laser cutting, Laser
DMM, LCR bridge, Signal and function engraving etc.
generator. Logic analyzer and MSO.
Bench power supply (with 4-wire output) Basic welding and brazing and other joining
techniques for assembly.
Circuit prototyping using (a) breadboard,
(b) Zero PCB (c) ‘Manhattan’ style and (d) Concept of Lab aboard a Box.
custom PCB. Single, double and
multilayer PCBs. Single and double-sided
PCB prototype fabrication in the lab.
Soldering using soldering iron/station.
Soldering using a temperature controlled
reflow oven. Automated circuit assembly
and soldering using pick and place
machines.
41
3. Electronic circuit building blocks

including common sensors. Arduino and 3D printing and prototyping technology – 3D
Raspberry Pi programming and use. printing using FDM, SLS and SLA. Basics of
Digital Input and output. Measuring time 3D scanning, point cloud data generation for
and events. PWM. Serial communication. reverse engineering.
Analog input. Interrupts programming.
Power Supply design (Linear and Prototyping using subtractive cutting
Switching types), Wireless power supply,
processes. 2D and 3D Structures for prototype
USB PD, Solar panels, Battery types and
charging building using Laser cutter and CNC routers.
Basics of IPR and patents; Accessing and
utilizing patent information in IDEA Lab
4. Discussion and implementation of a mini project.

5. Documentation of the mini project (Report and video).
Laboratory Activities:
S. No. List of Lab activities and experiments
1. Schematic and PCB layout design of a suitable circuit, fabrication and testing of the
circuit.
2. Machining of 3D geometry on soft material such as soft wood or modelling wax.
3. 3D scanning of computer mouse geometry surface. 3D printing of scanned geometry

using FDM or SLA printer.
4. 2D profile cutting of press fit box/casing in acrylic (3 or 6 mm thickness)/cardboard,

MDF (2 mm) board using laser cutter & engraver.
5. 2D profile cutting on plywood /MDF (6-12 mm) for press fit designs.
6. Familiarity and use of welding equipment.
7. Familiarity and use of normal and wood lathe.
8. Embedded programming using Arduino and/or Raspberry Pi.
9. Design and implementation of a capstone project involving embedded hardware,

software and machined or 3D printed enclosure.
Reference Books:
S. No. Title
1. The Big Book of Maker Skills: Tools & Techniques for Building Great Tech
Projects. Chris Hackett. Weldon Owen; 2018. ISBN-13: 978-1681884325.
42
2. The Total Inventors Manual (Popular Science): Transform Your Idea into a Top-
Selling Product. Sean Michael Ragan (Author). Weldon Owen; 2017. ISBN-13:
978-1681881584.
3. Make: Tools: How They Work and How to Use Them. Platt, Charles.
Shroff/Maker Media. 2018. ISBN-13: 978-9352137374
4. The Art of Electronics. 3rd edition. Paul Horowitz and Winfield Hill. Cambridge
University Press. ISBN: 9780521809269
5. Practical Electronics for Inventors. 4th edition. Paul Sherz and Simon Monk.
McGraw Hill. ISBN-13: 978-1259587542
6. Encyclopedia of Electronic Components (Volume 1, 2 and 3). Charles Platt.

Shroff Publishers. ISBN-13: 978-9352131945, 978-9352131952, 978-
9352133703
7. Building Scientific Apparatus. 4th edition. John H. Moore, Christopher C. Davis,

Michael A. Coplan and Sandra C. Greer. Cambridge University Press. ISBN-13:
978-0521878586
8. Programming Arduino: Getting Started with Sketches. 2nd edition. Simon Monk.
McGraw Hill. ISBN-13: 978-1259641633
9. Make Your Own PCBs with EAGLE: From Schematic Designs to Finished
Boards. Simon Monk and Duncan Amos. McGraw Hill Education. ISBN-13 :
978-1260019193.
10. Pro GIT. 2nd edition. Scott Chacon and Ben Straub. A press. ISBN-13 : 978-
1484200773
11. Venuvinod, PK., MA. W., Rapid Prototyping – Laser Based and Other
Technologies, Kluwer, 2004.
12. Ian Gibson, David W Rosen, Brent Stucker., “Additive Manufacturing

Technologies: Rapid Prototyping to Direct Digital Manufacturing”, Springer,
2010
13. Chapman W.A.J, “Workshop Technology”, Volume I, II, III, CBS Publishers and
distributors, 5th Edition,2002.
******
43
SEMESTER – II
44
45
SEMESTER II
BSC-103 Chemistry- I 3L:0T:2P 5 Credits
Course Objective:
The objective of the Chemistry-I is to acquaint the students with the basic phenomenon/concepts of
chemistry, the student faces during course of their study in the industry and Engineering field. The
student with the knowledge of the basic chemistry, will understand and explain scientifically the
various chemistry related problems in the industry/engineering field. The student will able to
understand the new developments and breakthroughs efficiently in engineering and technology. The
introduction of the latest (R&D oriented) topics will make the engineering student upgraded with the
new technologies.
Course Content:
Module I: Atomic and Molecular Structure

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

Principles of spectroscopy and selection rules. Electronic spectroscopy. Fluorescence and its
applications in medicine. Vibrational and rotational spectroscopy of diatomic molecules.
Applications. Nuclear magnetic resonance and magnetic resonance imaging, surface characterization
techniques. Diffraction and scattering.
Module III: Intermolecular forces and potential energy surfaces

Ionic, dipolar and van Der Waals interactions. Equations of state of real gases and critical phenomena.
Potential energy surfaces of H3, H2F and HCN and trajectories on these surfaces.
Module IV: Use of free energy in chemical equilibria

Thermodynamic functions: energy, entropy and free energy. Estimations of entropy and free energies.
Free energy and EMF. Cell potentials, the Nernst equation and applications. Acid base, oxidation
reduction and solubility equilibria. Water chemistry. Corrosion. Use of free energy considerations in
metallurgy through Ellingham diagrams.
Module V: Periodic properties

Effective nuclear charge, penetration of orbitals, variations of s, p, d and f orbital energies of atoms
in the periodic table, electronic configurations, atomic and ionic sizes, ionization energies, electron
46
affinity and electronegativity, polarizability, oxidation states, coordination numbers and geometries,
hard soft acids and bases, molecular geometries.
Module VI: Stereochemistry

Representations of 3 dimensional structures, structural isomers and stereoisomers, configurations and
symmetry and chirality, enantiomers, diastereomers, optical activity, absolute configurations and
conformational analysis. Isomerism in transitional metal compounds.
Module VII: Organic reactions and synthesis of a drug molecule

Introduction to reactions involving substitution, addition, elimination, oxidation, reduction,
cyclization and ring openings. Synthesis of a commonly used drug molecule.
LABORATORY
Choice of 10-12 experiments from the following:
1. Determination of surface tension and viscosity.

2. Thin layer chromatography.
3. Ion exchange column for removal of hardness of water.
4. Determination of chloride content of water.
5. Colligative properties using freezing point depression.
6. Determination of the rate constant of a reaction.
7. Determination of cell constant and conductance of solutions.
8. Potentiometry - determination of redox potentials and EMFs.
9. Synthesis of a polymer/drug.
10. Saponification/acid value of an oil.
11. Chemical analysis of a salt.
12. Lattice structures and packing of spheres.
13. Models of potential energy surfaces.
14. Chemical oscillations- Iodine clock reaction.
15. Determination of the partition coefficient of a substance between two immiscible liquids.
16. Adsorption of acetic acid by charcoal.
17. Use of the capillary viscosimeters to the demonstrate of the isoelectric point as the pH of
minimum viscosity for gelatin sols and/or coagulation of the white part of egg.
1. University chemistry, by B. H. Mahan

2. Chemistry: Principles and Applications, by M. J. Sienko and R. A. Plane
3. Fundamentals of Molecular Spectroscopy, by C. N. Banwell
4. Engineering Chemistry (NPTEL Web-book), by B. L. Tembe, Kamaluddin and M. S. Krishnan
5. Physical Chemistry, by P. W. Atkins
6. Organic Chemistry: Structure and Function by K. P. C. Volhardt and N. E. Schore, 5th Edition
http://bcs.whfreeman.com/vollhardtschore5e/default.asp
47

PROF. MANGALA SUNDER

1 CHEMISTRY - I IITM
KRISHNAN
1 Determination of surface tension and http://pcv-au.vlabs.ac.in/physical-

viscosity. chemistry/Determination_of_Viscosity
_of_Organic_Solvents/
2 Ion exchange column for removal of http://icv-au.vlabs.ac.in/inorganic-

hardness of water. chemistry/Water_Analysis_Determinat
ion_of_Chemical_Parameters/
3 Determination of chloride content of http://vlabs.iitb.ac.in/vlabs-

water. dev/labs/nitk_labs/Environmental_Eng
ineering_1/experiments/determination-
of-chloride-nitk/simulation.html
4 Colligative properties using freezing http://pcv-au.vlabs.ac.in/physical-

point depression. chemistry/Cryoscopy/
5 Determination of the rate constant of a http://pcv-au.vlabs.ac.in/physical-

reaction. chemistry/EMF_Measurement/
6 Determination of cell constant and http://icv-au.vlabs.ac.in/inorganic-

conductance of solutions. chemistry/Water_Analysis_Determinat
ion_of_Physical_Parameters/
7 Potentiometry - determination of redox http://pcv-au.vlabs.ac.in/physical-

potentials and EMFs. chemistry/EMF_Measurement/
8 Saponification/acid value of an oil. http://biotech01.vlabs.ac.in/bio-

chemistry/Estimation_of_Saponificatio
n_Value_of_Fats_or_Oils/
9 Lattice structures and packing of https://vlab.amrita.edu/?sub=1&brch=2

spheres. 82&sim=370&cnt=1
48
Course Outcomes: The concepts developed in this course will aid in quantification of several
concepts in chemistry that have been introduced at the 10+2 levels in schools. Technology is being
increasingly based on the electronic, atomic and molecular level modifications. Quantum theory is
more than 100 years old and to understand phenomena at nanometer levels, one has to base the
description of all chemical processes at molecular levels. The course will enable the students:
● To analyse microscopic chemistry in terms of atomic and molecular orbitals and intermolecular
forces.
● To rationalise bulk properties and processes using thermodynamic considerations.
● To distinguish the ranges of the electromagnetic spectrum used for exciting different molecular
energy levels in various spectroscopic techniques
● To rationalise periodic properties such as ionization potential, electronegativity, oxidation states
and electronegativity.
● To list major chemical reactions that are used in the synthesis of molecules.
Laboratory Outcomes: The chemistry laboratory course will consist of experiments illustrating the
principles of chemistry relevant to the study of science and engineering. The students will learn:
● To estimate rate constants of reactions from concentration of reactants/products as a function of

time.
● To measure molecular/system properties such as surface tension, viscosity, conductance of
solutions, redox potentials, chloride content of water, etc.
● To synthesize a small drug molecule and analyze a salt sample.
******
49
BSC-104 Maths–II (Ordinary Differential 3L:1T:0P 4 Credits

Equations and Multivariate
Calculus)
Detailed Content:
Module 1:
Review of first order differential equations, Reduction of order, linear differential equations,
homogeneous higher order linear differential equations, non-homogeneous higher order linear
differential equations with constant coefficients and reducible to differential equations with constant
coefficients (method of undetermined coefficients and method of variation of parameters), systems
of differential equations, applications to orthogonal trajectories, mass spring systems and electrical
circuits.
Module 2:
Functions of several variables, level curves and level surfaces, partial and directional derivatives,
differentiability, chain rule, local extreme values and saddle points, constrained optimization.
Module 3:
Double integrals in Cartesian and polar coordinates, iterated integrals, change of variables, triple
integrals in Cartesian, spherical and cylindrical coordinates, and substitutions in multiple integrals,
Applications to Area, Volume, Moments and Center of Mass.

(i) Thomas’ Calculus (12th edition) by Maurice D. Weir, Joel Hass, Frank R. Giordano,
Pearson Education.
(ii) Advanced Engineering Mathematics (10th edition) by Erwin Kreyszig, Wiley eastern Ltd.
(i) K.D Joshi, “Calculus for Scientists and Engineers”, CRC Press, 2002.
(ii) Sudhir Ghorpade and Balmohan Limaye, “A Course in Multivariate Calculus and
Analysis”, Springer Science and Business Media.
(iii) George Simmons, “Differential Equations with Applications and Historical notes”, Tata
McGraw Hill publishing company Ltd, New Delhi, 2006.
(iv) C.R. Wylie, “Advanced Engineering Mathematics”, McGraw Hill Publications, New
Delhi, 2017.
(v) Peter V. O’ Neil, “Advanced Engineering Mathematics”, (7th edition), Thomson. Brooks
/ Cole, Singapore, 1991.
(vi) Michael D. Greenberg, “Advanced Engineering Mathematics”, (2nd edition), Pearson
Education, 1998.
50
Course Outcomes:
● Understand basic concepts (To measure this outcome, questions may be of the type- explain,
describe, illustrate, evaluate, give examples, compute etc.).
● Illustrate any example.
● Analyze the problem and apply the appropriate concept (To measure this outcome, questions
will be based on applications of core concepts).
● Know and recall core knowledge of the syllabus (To measure this outcome, questions may be
of the type- define, identify, state, match, list, name etc.).
*******
51
ESC-103 Programming for 3L:0T:4P 5 Credits

Problem Solving
Course Objectives:
1. To learn the fundamentals of computers.

2. To understand the various steps in program development.
3. To learn the syntax and semantics of C programming language.
4. To learn the usage of structured programming approach in solving problems.
5. To understated and formulate algorithm for programming script
6. To analyze the output based on the given input variables
Course Contents:
Module I: Introduction to Programming; Introduction to components of a computer system (disks,

memory, processor, where a program is stored and executed, operating system, compilers etc.)
Idea of Algorithm: steps to solve logical and numerical problems. Representation of Algorithm:
Flowchart/Pseudocode with examples.
From algorithms to programs; source code, variables (with data types) variables and memory
locations, Syntax and Logical Errors in compilation, object and executable code.
Module II: Arithmetic expressions and precedence.
Module III: Conditional Branching and Loops. Writing and evaluation of conditionals and
consequent branching. Iteration and loops.
Module IV: Arrays, Arrays (1-D, 2-D), Character arrays and Strings
Module V: Basic Algorithms, Searching, Basic Sorting Algorithms (Bubble, Insertion and
Selection), Finding roots of equations, notion of order of complexity through example programs (no
formal definition required)
Module VI: Function, Functions (including using built in libraries), Parameter passing in functions,
call by value, Passing arrays to functions: idea of call by reference
Module VII: Recursion, Recursion as a different way of solving problems. Example programs, such
as Finding Factorial, Fibonacci series, Ackerman function etc. Quick sort or Merge sort.
Module VIII: Structures, Defining structures and Array of Structures
Module IX: Pointers, Idea of pointers, Defining pointers, Use of Pointers in self-referential
structures, notion of linked list (no implementation)
Module X: File handling (only if time is available, otherwise should be done as part of the lab).
52
PRACTICALS:
1. Familiarization with programming environment

2. Simple computational problems using arithmetic expressions
3. Problems involving if-then-else structures
4. Iterative problems e.g., sum of series
5. 1D Array manipulation
6. Matrix problems, String operations
7. Simple functions
8. Programming for solving Numerical methods problems
9. Recursive functions
10. Pointers and structures
11. File operations
TEXT/REFERENCE BOOKS:
1. Byron Gottfried, Schaum's Outline of Programming with C, McGraw-Hill.

2. E. Balaguruswamy, Programming in ANSI C, Tata McGraw-Hill.
3. Brian W. Kernighan and Dennis M. Ritchie, The C Programming Language, Prentice Hall of
India.

INTRODUCTION TO PROF. SATYADEV

1 IIT KANPUR
PROGRAMMING IN C NANDAKUMAR
PROBLEM SOLVING THROUGH PROF. ANUPAM

2 IIT KHARAGPUR
PROGRAMMING IN C BASU
1 Simple computational problems using http://ps-

arithmetic expressions. iiith.vlabs.ac.in/exp7/Introduction.html?dom
ain=Computer%20Science&lab=Problem%2
0Solving%20Lab
2 Iterative problems e.g., sum of series. http://ps-

iiith.vlabs.ac.in/exp4/Introduction.html?dom
0Solving%20Lab
3 1D Array manipulation. http://cse02-iiith.vlabs.ac.in/exp4/index.html
53
4 Matrix problems, String operations. http://ps-

0Solving%20Lab
5 Simple functions. http://cse02-iiith.vlabs.ac.in/exp2/index.html
6 Programming for solving Numerical http://ps-

methods problems. iiith.vlabs.ac.in/exp1/Introduction.html?dom
0Solving%20Lab
7 Recursive functions. http://ps-

0Solving%20Lab
COURSE OUTCOMES: The student will learn following through lectures:
● To formulate simple algorithms for arithmetic and logical problems.

● To translate the algorithms to programs (in C language).
● To test and execute the programs and correct syntax and logical errors.
● To implement conditional branching, iteration and recursion.
● To decompose a problem into functions and synthesize a complete program using divide and
conquer approach.
● To use arrays, pointers and structures to formulate algorithms and programs.
● To apply programming to solve matrix addition and multiplication problems and searching and
sorting problems.
● To apply programming to solve simple numerical method problems, namely rot finding of
function, differentiation of function and simple integration.
The student will learn following through Practicals:
● To formulate the algorithms for simple problems.

● To translate given algorithms to a working and correct program.
● To be able to correct syntax errors as reported by the compilers.
● To be able to identify and correct logical errors encountered at run time.
● To be able to write iterative as well as recursive programs.
● To be able to represent data in arrays, strings and structures and manipulate them through a
program.
● To be able to declare pointers of different types and use them in defining self-referential
structures.
● To be able to create, read and write to and from simple text files.
******
54
ESC-104 Workshop: Manufacturing 0L:0T:3P 1.5 Credits

Practice
Course Content:
● Manufacturing Methods- casting, forming, machining, joining, advanced manufacturing methods

(3 lectures).
● CNC machining, Additive manufacturing (1 lecture).
● Fitting operations & power tools (1 lecture).
● Electrical & Electronics (1 lecture).
● Carpentry (1 lecture).
● Plastic molding, glass cutting (1 lecture).
● Metal casting (1 lecture).
● Welding (arc welding & gas welding), brazing (1 lecture).
(i) Hajra Choudhury S.K., Hajra Choudhury A.K. and Nirjhar Roy S.K., “Elements of Workshop
Technology”, Media promoters and publishers private limited, Mumbai,Vol. I 2008 and Vol. II 2010.
(ii) Kalpakjian S. And Steven S. Schmid, “Manufacturing Engineering and Technology”, 4th edition,
Pearson Education India Edition, 2002.
(i) Gowri P. Hariharan and A. Suresh Babu, “Manufacturing Technology – I” Pearson Education, 2008.
(ii) Roy A. Lindberg, “Processes and Materials of Manufacture”, 4th edition, Prentice Hall India, 1998.
(iii) Rao P.N., “Manufacturing Technology”, Vol. I and Vol. II, Tata McGraw Hill House, 2017.
Course Outcomes:
● Acquire knowledge of the different manufacturing processes which are commonly employed in the
industry, to fabricate components using different materials.
● Understand the difference between traditional manufacturing and advanced manufacturing processes.
*****
55
AU-102 Sports and Yoga (Audit Course) 2L:0T:0P 0 Credit
Course Objective(s):
● To make the students understand the importance of sound health and fitness principles as they
relate to better health.
● To expose the students to a variety of physical and yogic activities aimed at stimulating their
continued inquiry about Yoga, physical education, health and fitness.
● To create a safe, progressive, methodical and efficient activity based plan to enhance
improvement and minimize risk of injury.
● To develop among students an appreciation of physical activity as a lifetime pursuit and a means
to better health.
Course Contents:
Module I: Introduction to Physical Education
o Meaning & definition of Physical Education

o Aims & Objectives of Physical Education
o Changing trends in Physical Education
Module II: Olympic Movement
o Ancient & Modern Olympics (Summer & Winter)

o Olympic Symbols, Ideals, Objectives & Values
o Awards and Honours in the field of Sports in India (Dronacharya Award, Arjuna Award,
Dhayanchand Award, Rajiv Gandhi Khel Ratna Award etc.)
Module III: Physical Fitness, Wellness & Lifestyle
o Meaning & Importance of Physical Fitness & Wellness

o Components of Physical fitness
o Components of Health related fitness
o Components of wellness
o Preventing Health Threats through Lifestyle Change
o Concept of Positive Lifestyle
Module IV: Fundamentals of Anatomy & Physiology in Physical Education, Sports and
Yoga
o Define Anatomy, Physiology & Its Importance

o Effect of exercise on the functioning of Various Body Systems. (Circulatory System,
Respiratory System, Neuro-Muscular System etc.)
56
Module V: Kinesiology, Biomechanics & Sports
o Meaning & Importance of Kinesiology & Biomechanics in Physical Edu. & Sports
o Newton’s Law of Motion & its application in sports.
o Friction and its effects in Sports.
Module VI: Postures

o Meaning and Concept of Postures.
o Causes of Bad Posture.
o Advantages & disadvantages of weight training.
o Concept & advantages of Correct Posture.
o Common Postural Deformities – Knock Knee; Flat Foot; Round Shoulders; Lordosis,
Kyphosis, Bow Legs and Scoliosis.
o Corrective Measures for Postural Deformities
Module VII: Yoga

o Meaning & Importance of Yoga
o Elements of Yoga
o Introduction - Asanas, Pranayama, Meditation & Yogic Kriyas
o Yoga for concentration & related Asanas (Sukhasana; Tadasana; Padmasana &
Shashankasana)
o Relaxation Techniques for improving concentration - Yog-nidra
Module VIII: Yoga & Lifestyle
o Asanas as preventive measures.

o Hypertension: Tadasana, Vajrasana, Pavan Muktasana, Ardha Chakrasana,
Bhujangasana, Sharasana.
o Obesity: Procedure, Benefits & contraindications for Vajrasana, Hastasana, Trikonasana,
Ardh Matsyendrasana.
o Back Pain: Tadasana, Ardh Matsyendrasana, Vakrasana, Shalabhasana, Bhujangasana.
o Diabetes: Procedure, Benefits & contraindications for Bhujangasana, Paschimottasana,
Pavan Muktasana, Ardh Matsyendrasana.
o Asthema: Procedure, Benefits & contraindications for Sukhasana, Chakrasana,
Gomukhasana, Parvatasana, Bhujangasana, Paschimottasana, Matsyasana.
Module IX: Training and Planning in Sports
o Meaning of Training
o Warming up and limbering down
o Skill, Technique & Style
o Meaning and Objectives of Planning.
o Tournament – Knock-Out, League/Round Robin & Combination.
57
Module X: Psychology & Sports
o Definition & Importance of Psychology in Physical Edu. & Sports

o Define & Differentiate Between Growth & Development
o Adolescent Problems & Their Management
o Emotion: Concept, Type & Controlling of emotions
o Meaning, Concept & Types of Aggressions in Sports.
o Psychological benefits of exercise.
o Anxiety & Fear and its effects on Sports Performance.
o Motivation, its type & techniques.
o Understanding Stress & Coping Strategies.
Module XI: Doping
o Meaning and Concept of Doping

o Prohibited Substances & Methods
o Side Effects of Prohibited Substances
Module XII: Sports Medicine
o First Aid – Definition, Aims & Objectives.

o Sports injuries: Classification, Causes & Prevention.
o Management of Injuries: Soft Tissue Injuries and Bone & Joint Injuries
Module XIII: Sports / Games
Following subtopics related to any one Game/Sport of choice of student out of:
Athletics, Badminton, Basketball, Chess, Cricket, Kabaddi, Lawn Tennis, Swimming, Table
Tennis, Volleyball, Yoga etc.
o History of the Game/Sport.

o Latest General Rules of the Game/Sport.
o Specifications of Play Fields and Related Sports Equipment.
o Important Tournaments and Venues.
o Sports Personalities.
o Proper Sports Gear and its Importance.
Text Books/References:
1. Modern Trends and Physical Education by Prof. Ajmer Singh.

2. Light On Yoga by B.K.S. Iyengar.
3. Health and Physical Education – NCERT (11th and 12th Classes)
58
Course Outcomes:
On successful completion of the course the students will be able:
1. To practice Physical activities and Hatha Yoga focusing on yoga for strength, flexibility, and
relaxation.
2. To learn techniques for increasing concentration and decreasing anxiety which leads to stronger
academic performance.
3. To learn breathing exercises and healthy fitness activities
4. To understand basic skills associated with yoga and physical activities including strength and
flexibility, balance and coordination.
5. To perform yoga movements in various combination and forms.
6. To assess current personal fitness levels.
7. To identify opportModuleies for participation in yoga and sports activities.
8. To develop understanding of health-related fitness components: cardiorespiratory endurance,
flexibility and body composition etc.
9. To improve personal fitness through participation in sports and yogic activities.
10. To develop understanding of psychological problems associated with the age and lifestyle.
11. To demonstrate an understanding of sound nutritional practices as related to health and physical
performance.
12. To assess yoga activities in terms of fitness value.
13. To identify and apply injury prevention principles related to yoga and physical fitness activities.
1. To understand and correctly apply biomechanical and physiological principles elated to exercise
and training.
*******
59
ESC-105 Workshop: Electronics and 0L:0T:4P 2 Credits

Computer
Detailed Content:
The following content should be covered in the Workshop practice:
Electronics:
Role of various Engineering disciplines in Mechatronics, Mechatronics Design elements, Scope and
Applications of Mechatronics, Analog electronic components and devices, Oscillators as signal
generators, Power supplies and voltage regulators, Power Electronics- Devices, Industrial electronic
circuits, Digital Electronics- Arithmetic circuits, Multiplexers/Demultiplexers, Registers, Counters,
Memories, Few examples of transducers, Signal conditioning Circuits using Operational amplifiers,
Noise Problems, Grounding and shielding, Data acquisition systems,-Single channel and
multichannel, Data loggers, Control Systems Components, Classification of Control Systems,
Transfer functions, Time and Frequency response Analysis tools.
Computer:
What is Computer, Basic Applications of Computer; Components of Computer System, Central

Processing Unit (CPU), VDU, Keyboard and Mouse, Other input/output Devices, Computer
Memory, Concepts of Hardware and Software; Concept of Computing, Data and Information;
Applications of IECT; Connecting keyboard, mouse, monitor and printer to CPU and checking power
supply. What is an Operating System; Basics of Popular Operating Systems; The User Interface,
Using Mouse; Using right Button of the Mouse and Moving Icons on the screen, Use of Common
Icons, Status Bar, Using Menu and Menu-selection, running an Application, Viewing of File, Folders
and Directories, Creating and Renaming of files and folders, Opening and closing of different
Windows; Using help; Creating Shortcuts, Basics of O.S Setup; Common utilities.
(i) D.P. Kothari, I J. Nagrath, “Basic Electrical and Electronics Engineering”, 2nd edition,
McGraw Hill, 2020.
(ii) Sinha, P. K, “Computer Fundamentals: Concepts, Systems & Applications”, 3rd edition,
BPB, 2004.
Course Outcomes:
After the completion of this course, the students will be able to:
● Identify different electronic components.
● Understand the working principle of different electronic devices.
● Understand the use and working of each component in computer system.
● Differentiate the use of operating system in programming languages.
*****
60
HSMC-102 Universal Human Values-II: 3L:0T:0P 3 Credits

Pre-requisites: None. Universal Human Values 1 (Desirable)
1-COURSES ON HUMAN VALUES
During the Induction Program, students would get an initial exposure to human values through
Universal Human Values-I. This exposure is to be augmented by this compulsory full semester
foundation course.
Objectives of UHV-II Course
This introductory course input is intended:
1. To help the students appreciate the essential complementarily between 'VALUES' and
'SKILLS' to ensure sustained happiness and prosperity which are the core aspirations of all
human beings.
2. To facilitate the development of a Holistic perspective among students towards life and
profession as well as towards happiness and prosperity based on a correct understanding of
the Human reality and the rest of existence. Such a holistic perspective forms the basis of
Universal Human Values and movement towards value-based living in a natural way.
3. To highlight plausible implications of such a Holistic understanding in terms of ethical human
conduct, trustful and mutually fulfilling human behavior and mutually enriching interaction
with Nature.
Thus, this course is intended to provide a much-needed orientational input in value education to the
young enquiring minds.
Salient Features of the Course
The salient features of this course are:
1. It presents a universal approach to value education by developing the right understanding of

reality (i.e. a worldview of the reality “as it is”) through the process of self-exploration.
2. The whole course is presented in the form of a dialogue whereby a set of proposals about
various aspects of the reality are presented and the students are encouraged to self-explore the
proposals by verifying them on the basis of their natural acceptance within oneself and
validate experientially in living.
3. The prime focus throughout the course is toward affecting a qualitative transformation in the
life of the student rather than just a transfer of information.
4. While introducing the holistic worldview and its implications, a critical appraisal of the
prevailing notions is also made to enable the students discern the difference on their own
right.
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Course Methodology
1. The methodology of this course is explorational and thus universally adaptable. It involves a
systematic and rational study of the human being vis-à-vis the rest of existence.
2. The course is in the form of 28 lectures (discussions) and 14 practice sessions.
3. It is free from any dogma or value prescriptions.
4. It is a process of self-investigation and self-exploration, and not of giving sermons. Whatever
is found as truth or reality is stated as a proposal and the students are facilitated to verify it in
their own right, based on their Natural Acceptance and subsequent Experiential Validation –
the whole existence is the lab and every activity is a source of reflection.
5. This process of self-exploration takes the form of a dialogue between the teacher and the
students to begin with, and then to continue within the student in every activity, leading to
continuous self-evolution.
6. This self-exploration also enables them to critically evaluate their pre-conditionings and
present beliefs.
2-COURSE TOPICS
The course has 28 lectures and 14 tutorials in 5 modules. The lectures and tutorials are of 01-hour
duration. Tutorial sessions are to be used to explore and practice what has been proposed during the
lecture sessions.
The Teacher’s Manual provides the outline for lectures as well as practice sessions. The teacher is
expected to present the issues to be discussed as propositions and encourage the students to have a
dialogue.
The syllabus for the lectures and practice sessions is given below:
Module 1 – Introduction to Value Education (6 lectures and 3 tutorials for practice session)
Lecture 1: Right Understanding, Relationship and Physical Facility (Holistic Development

and the Role of Education)
Lecture 2: Understanding Value Education
Tutorial 1: Practice Session PS1 Sharing about Oneself
Lecture 3: Self-exploration as the Process for Value Education
Lecture 4: Continuous Happiness and Prosperity – the Basic Human Aspirations
Tutorial 2: Practice Session PS2 Exploring Human Consciousness
Lecture 5: Happiness and Prosperity – Current Scenario
Lecture 6: Method to Fulfill the Basic Human Aspirations
Tutorial 3: Practice Session PS3 Exploring Natural Acceptance
Expected outcome:
The students start exploring themselves: get comfortable with each other and with the teacher; they
start appreciating the need and relevance for the course.
The students start finding that technical education without study of human values can generate more
problems than solutions. They also start feeling that lack of understanding of human values is the
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root cause of most of the present-day problems; and a sustained solution could emerge only through
understanding of value-based living. Any solution brought out through fear, temptation of dogma
will not be sustainable.
The students are able to see that verification on the basic of natural acceptance and experiential
validation through living is the only way to verify right or wrong, and referring to any external source
like text or instrument or any other person cannot enable them to verify with authenticity; it will only
develop assumptions.
The students are able to see that their practice in living is not in harmony with their natural acceptance
most of the time, and all they need to do is to refer to their natural acceptance to overcome this
disharmony.
The students are able to see that lack of right understanding leading to lack of relationship is the
major cause of problems in their family and not the lack of physical facility in most of the cases,
while they have given higher priority to earning of physical facility in their life giving less value to
or even ignoring relationships and not being aware that right understanding is the most important
requirement for any human being.
Module 2 – Harmony in the Human Being (6 lectures and 3 tutorials for practice session)
Lecture 7: Understanding Human being as the Co-existence of the Self and the Body
Lecture 8: Distinguishing between the Needs of the Self and the Body
Tutorial 4: Practice Session PS4 Exploring the difference of Needs of Self and Body
Lecture 9: The Body as an Instrument of the Self
Lecture 10: Understanding Harmony in the Self
Tutorial 5: Practice Session PS5 Exploring Sources of Imagination in the Self
Lecture 11: Harmony of the Self with the Body
Lecture 12: Programme to ensure self-regulation and Health
Tutorial 6: Practice Session PS6 Exploring Harmony of Self with the Body
Expected outcome:
The students are able to see that they can enlist their desires and the desires are not vague. Also they
are able to relate their desires to ‘I’ and ‘Body’ distinctly. If any desire appears related to both, they
are able to see that the feeling is related to I while the physical facility is related to the body. They
are also able to see that ‘I’ and Body are two realities, and most of their desires are related to ‘I’ and
not body, while their efforts are mostly centered on the fulfilment of the needs of the body assuming
that it will meet the needs of ‘I’ too.
The students are able to see that all physical facility they are required for a limited time in a limited
quantity. Also, they are able to see that in case of feelings, they want continuity of the naturally
acceptable feelings and they do not want feelings which are not naturally acceptable even for a single
moment.
The students are able to see that activities like understanding, desire, though and selection are the
activities of ‘I’ only the activities like breathing, palpitation of different parts of the body are fully
the activities of the body with the acceptance of ‘I’ while the activities they do with their sense organs
like hearing through ears, seeing through eyes, sensing through touch, tasting through tongue and
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smelling through nose or the activities they do with their work organs like hands, legs etc. are such
activities that require the participation of both ‘I’ and body.
The students become aware of their activities of ‘I’ and start finding their focus of attention at
different moments. Also they are able to see that most of their desires are coming from outside
(through preconditioning or sensation) and are not based on their natural acceptance
The students are able to list down activities related to proper upkeep of the body and practice them
in their daily routine. They are also able to appreciate the plants wildly growing in and around the
campus which can be beneficial in curing different diseases.
Module 3 – Harmony in the Family and Society (6 lectures and 3 tutorials for practice
session)
Lecture 13: Harmony in the Family – the Basic Unit of Human Interaction
Lecture 14: 'Trust' – the Foundational Value in Relationship
Tutorial 7: Practice Session PS7 Exploring the Feeling of Trust
Lecture 15: 'Respect' – as the Right Evaluation
Tutorial 8: Practice Session PS8 Exploring the Feeling of Respect
Lecture 16: Other Feelings, Justice in Human-to-Human Relationship
Lecture 17: Understanding Harmony in the Society
Lecture 18: Vision for the Universal Human Order
Tutorial 9: Practice Session PS9 Exploring Systems to fulfil Human Goal
Expected outcome:
The students are able to note that the natural acceptance (intention) is always for living in harmony,
only competence is lacking! We generally evaluate ourselves on the basis of our intention and others
on the basis of their competence! We seldom look at our competence and others’ intention as a result
we conclude that I am a good person and other is a bad person.
The students are able to see that respect is right evaluation, and only right evaluation leads to
fulfilment in relationship. Many present problems in the society are an outcome of differentiation
(lack of understanding of respect), like gender biasness, generation gap, caste conflicts, class struggle,
dominations through power play, communal violence, clash of isms and so on so forth. All these
problems can be solved by realizing that the other is like me as he has the same natural acceptance,
potential and program to ensure a happy and prosperous life for them and for others through he may
have different body, physical facility or beliefs.
The students are able to use their creativity for education children. The students are able to see that
they can play a role in providing value education for children. They are able to put in simple words
the issues that are essential to understand for children and comprehensible to them. The students are
able to develop an outline of holistic model for social science and compare it with the existing model.
Module 4 – Harmony in the Nature/Existence (4 lectures and 2 tutorials for practice session)
Lecture 19: Understanding Harmony in the Nature
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Lecture 20: Interconnectedness, self-regulation and Mutual Fulfilment among the Four
Orders of Nature
Tutorial 10: Practice Session PS10 Exploring the Four Orders of Nature
Lecture 21: Realizing Existence as Co-existence at All Levels
Lecture 22: The Holistic Perception of Harmony in Existence
Tutorial 11: Practice Session PS11 Exploring Co-existence in Existence
Expected outcome:
The students are able to differentiate between the characteristics and activities of different orders and
study the mutual fulfilment among them. They are also able to see that human being s are not fulfilling
to other orders today and need to take appropriate steps to ensure right participation (in terms of
nurturing, protection and right utilization) in the nature.
The students feel confident that they can understand the whole existence; nothing is a mystery in this
existence. They are also able to see the interconnectedness in the nature, and point out how different
courses of study relate to the different units and levels. Also, they are able to make out how these
courses can be made appropriate and holistic.
Module 5 – Implications of the Holistic Understanding – a Look at Professional Ethics (6

lectures and 3 tutorials for practice session)
Lecture 23: Natural Acceptance of Human Values

Lecture 24: Definitiveness of (Ethical) Human Conduct
Tutorial 12: Practice Session PS12 Exploring Ethical Human Conduct
Lecture 25: A Basis for Humanistic Education, Humanistic Constitution and Universal
Human Order
Lecture 26: Competence in Professional Ethics
Tutorial 13: Practice Session PS13 Exploring Humanistic Models in Education
Lecture 27: Holistic Technologies, Production Systems and Management Models-Typical
Case Studies
Lecture 28: Strategies for Transition towards Value-based Life and Profession
Tutorial 14: Practice Session PS14 Exploring Steps of Transition towards Universal
Human Order
Expected outcome:
The students are able to present sustainable solutions to the problems in society and nature. They are
also able to see that these solutions are practicable and draw roadmaps to achieve them.
The students are able to grasp the right utilization of their knowledge in their streams of
Technology/Engineering/Management/any other area of study to ensure mutual fulfilment. E.g.
mutually enriching production system with rest of nature.
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The students are able to sincerely evaluate the course and share with their friends. They are also able
to suggest measures to make the course more effective and relevant. They are also able to make use
of their understanding in the course for the happy and prosperous family and society.
Guidelines and Content for Practice Sessions (Tutorials)
In order to connect the content of the proposals with practice (living), 14 practice sessions have been
designed. The full set of practice sessions is available in the Teacher’s Manual as well as the website.
Practice Sessions for Module 1 – Introduction to Value Education
PS1 Sharing about Oneself
PS2 Exploring Human Consciousness
PS3 Exploring Natural Acceptance
Practice Sessions for Module 2 – Harmony in the Human Being
PS4 Exploring the difference of Needs of Self and Body
PS5 Exploring Sources of Imagination in the Self
PS6 Exploring Harmony of Self with the Body
Practice Sessions for Module 3 – Harmony in the Family and Society
PS7 Exploring the Feeling of Trust
PS8 Exploring the Feeling of Respect
PS9 Exploring Systems to fulfil Human Goal
Practice Sessions for Module 4 – Harmony in the Nature (Existence)
PS10 Exploring the Four Orders of Nature
PS11 Exploring Co-existence in Existence
Practice Sessions for Module 5 – Implications of the Holistic Understanding – a Look at Professional
Ethics
PS12 Exploring Ethical Human Conduct
PS13 Exploring Humanistic Models in Education
PS14 Exploring Steps of Transition towards Universal Human Order
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As an example, PS7 is a practice session in module 3 regarding trust. It is explained below:
PS7: Form small groups in the class and in that group initiate dialogue and ask the eight questions
related to trust. The eight questions are:
1a. Do I want to make myself happy? 1b. Am I able to make myself always happy?
2a. Do I want to make the other happy? 2b. Am I able to make the other always happy?
3a. Does the other want to make him happy? 3b. Is the other able to make him always
happy?
4a. Does the other want to make me happy? 4b. Is the other able to make me always happy?
Intention (Natural Acceptance) Competence
What is the answer? What is the answer?
Let each student answer the questions for himself/herself and everyone else. Discuss the difference
between intention and competence. Observe whether you evaluate your intention and competence as
well as the others’ intention and competence.
Expected outcome of PS7: The students are able to see that the first four questions are related to our
Natural Acceptance i.e. intention and the next four to our Competence. They are able to note that the
intention is always correct, only competence is lacking! We generally evaluate ourselves on the basis
of our intention and others on the basis of their competence! We seldom look at our competence and
others’ intention, as a result we conclude that I am a good person and other is a bad person.
3-READINGS:
3-1-Text Book and Teachers Manual
a. The Textbook
A Foundation Course in Human Values and Professional Ethics, R R Gaur, R Asthana,

G P Bagaria, 2nd Revised Edition, Excel Books, New Delhi, 2019. ISBN 978-93-87034-
47-1
b. The Teacher’s Manual
Teachers’ Manual for A Foundation Course in Human Values and Professional Ethics,
RR Gaur, R Asthana, G P Bagaria, 2nd Revised Edition, Excel Books, New Delhi, 2019.
ISBN 978-93-87034-53-
3-2-Reference Books
1. JeevanVidya: EkParichaya, A Nagaraj, JeevanVidyaPrakashan, Amarkantak, 1999.
2. Human Values, A.N. Tripathi, New Age Intl. Publishers, New Delhi, 2004.
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3. The Story of Stuff (Book).

4. The Story of My Experiments with Truth - by Mohandas Karamchand Gandhi
5. Small is Beautiful - E. F Schumacher.
6. Slow is Beautiful - Cecile Andrews
7. Economy of Permanence - J C Kumarappa
8. Bharat Mein Angreji Raj – Pandit Sunderlal
9. Rediscovering India - by Dharampal
10. Hind Swaraj or Indian Home Rule - by Mohandas K. Gandhi
11. India Wins Freedom - Maulana Abdul Kalam Azad
12. Vivekananda - Romain Rolland (English)
13. Gandhi - Romain Rolland (English)
4-MODE OF CONDUCT (L-T-P-C 2-1-0-3)
Lecture hours are to be used for interactive discussion, placing the proposals about the topics at
hand and motivating students to reflect, explore and verify them.
Tutorial hours are to be used for practice sessions.
While analysing and discussing the topic, the faculty mentor’s role is in pointing to essential
elements to help in sorting them out from the surface elements. In other words, help the students
explore the important or critical elements.
In the discussions, particularly during practice sessions (tutorials), the mentor encourages the
student to connect with one’s own self and do self-observation, self-reflection and self-exploration.
Scenarios may be used to initiate discussion. The student is encouraged to take up” ordinary”
situations rather than” extra-ordinary” situations. Such observations and their analyses are shared
and discussed with other students and faculty mentor, in a group sitting.
Tutorials (experiments or practical) are important for the course. The difference is that the
laboratory is everyday life, and practical are how you behave and work in real life. Depending on
the nature of topics, worksheets, home assignment and/or activity are included. The practice
sessions (tutorials) would also provide support to a student in performing actions commensurate to
his/her beliefs. It is intended that this would lead to development of commitment, namely behaving
and working based on basic human values.
It is recommended that this content be placed before the student as it is, in the form of a basic
foundation course, without including anything else or excluding any part of this content. Additional
content may be offered in separate, higher courses.
This course is to be taught by faculty from every teaching department.
Teacher preparation with a minimum exposure to at least one 8-day Faculty Development
Program on Universal Human Values is deemed essential.
68
5-SUGGESTED ASSESSMENT:
This is a compulsory credit course. The assessment is to provide a fair state of development of the
student, so participation in classroom discussions, self-assessment, peer assessment etc. will be used
in evaluation.
Example:
Assessment by faculty mentor: 10 marks
Self-assessment: 10 marks
Assessment by peers: 10 marks
Socially relevant project/Group Activities/Assignments: 20 marks
Semester End Examination: 50 marks
The overall pass percentage is 40%. In case the student fails, he/she must repeat the course.
6-OUTCOME OF THE COURSE:
By the end of the course, students are expected to become more aware of themselves, and their
surroundings (family, society, nature); they would become more responsible in life, and in
handling problems with sustainable solutions, while keeping human relationships and human
nature in mind.
They would have better critical ability. They would also become sensitive to their commitment
towards what they have understood (human values, human relationship and human society). It is
hoped that they would be able to apply what they have learnt to their own self in different day-to-
day settings in real life, at least a beginning would be made in this direction.
Therefore, the course and further follow up is expected to positively impact common graduate
attributes like:
1. Holistic vision of life

2. Socially responsible behaviour
3. Environmentally responsible work
4. Ethical human conduct
5. Having Competence and Capabilities for Maintaining Health and Hygiene
6. Appreciation and aspiration for excellence (merit) and gratitude for all
This is only an introductory foundational input. It would be desirable to follow it up by
a) Faculty-student or mentor-mentee programs throughout their time with the institution
b) Higher level courses on human values in every aspect of living.
*******
69
SEMESTER – III
70
71
SEMESTER III
BSC-301 Vector Calculus and Partial 2L:1T:0P 3 Credits

Detailed Content:
Module 1:
Vector differentiation, gradient, divergence and curl, line and surface integrals, path independence,
statements and illustrations of theorems of Green, Stokes and Gauss, arc length parameterization,
applications.
Module 2:
Partial differential equations with separation of variables, boundary value problems: vibrations of a
string, heat equation, potential equation, vibrations of circular membranes.
Module 3:
Laplace Transforms, its properties, Unit step function, Dirac delta functions, Convolution Theorem,
periodic functions, solving differential equations using Laplace transform.
(i) Maurice D. Weir, Joel Hass, Frank R. Giordano, "Thomas’ Calculus", Pearson Education,
12th Edition, 2002.
(ii) Erwin Kreyszig, "Advanced Engineering Mathematics", Wiley eastern Ltd., 10th Edition,
2011.
(i) C.R. Wylie, “Advanced Engineering Mathematics”, McGraw Hill Publications, New
Delhi.
(ii) Peter V. O’ Neil, “Advanced Engineering Mathematics”, Thomson Brooks / Cole,
Singapore, 7th edition, 2011.
(iii) Fritz John, “Partial Differential Equations” (4th edition), Springer, 1991.
(iv) Michael D. Greenberg, “Advanced Engineering Mathematics (2nd edition)”, Pearson
Education, 1998.
Course Outcomes:
● Know and recall core knowledge of the syllabus (To measure this outcome, questions may be
of the type- define, identify, state, match, list, name etc.).
72
● Apply Partial differential concept to wherever necessary in Engineering Problems.
● Apply and Perform Laplace Transformation.
● Apply core concepts to new situations. (To measure this outcome, some questions will be
based on self-study topics and also comprehension of unseen passages).
● Understand basic concepts (To measure this outcome, questions may be of the type- explain,
describe, illustrate, evaluate, give examples, compute etc.).
● Analyze the problem and apply the appropriate concept (To measure this outcome, questions
will be based on applications of core concepts).
*****
73
ESC-301 Fundamentals of Mechanical 2L:0T:0P 2 Credits

Engineering
Pre-requisites (if any) Basic mathematics.
Detailed Content:
Module 1: Introduction to Thermodynamics:
Work, Heat, Equilibrium, Enthalpy, Entropy, Internal Energy, Laws of thermodynamics, Heat cycles
– Carnot, Otto and Diesel, Properties of Steam.
Module 2: Elementary Ideas of Energy Conversion Devices:
Boilers, Steam and Gas Turbines, SI and CI Engines, Refrigeration and Air Conditioning.
Module 3: Fluid Mechanics and Machinery:
Fluid Properties and Fluid Statics, Types of Fluid Flow, Work and Energy of Moving Fluids,
Hydraulic Pumps, Hydraulic Turbines.
Module 4: Mechanics of Material:
Materials and Mechanical Properties, Stress and Strain Concepts, Stress-Strain Diagrams for Ductile
and Hard Materials, Principal Stresses and Strains, Shear Force and Bending Moments, Flexural and
Torsional Loading.
Module 5: Power Transmission Devices:
Power Transmission Elements, Shaft and Axle, Rope, Belt and Chain Drives, Gear Drives,
Dynamometers.
Module 6: Manufacturing Processes:
Types of Manufacturing Processes, Machining Operations, Turning, Drilling, Milling and Grinding,
Forming and Forging Operations, Joining Processes, Soldering, Brazing and Welding.
(i) D. S. Kumar., “Fundamentals of Mechanical Engineering and Mechatronics”, S.K.

Kataria & Sons, 2021.
(ii) R. K. Bansal, “A Textbook of Fluid Mechanics and Hydraulic Machines”, Laxmi

Publications, 2019.
74
(i) Sadhu Singh, “Principles of Mechanical Engineering”, S. Chand, 2010.
(ii) P. K. Nag, “Engineering Thermodynamics”, McGraw Hill Education, 2017.
(iii) S. S. Rattan, “Theory of Machines”, McGraw Hill Education, 2019.
(iv) S. S. Rattan, “Strength of Materials”, McGraw Hill Education, 2017.
Course Outcomes:
● Understanding of the fundamentals essential for designing robot structure.
● Understanding of the fundamentals for selecting robot material according to its working
environment.
● Knowledge of various mechanical elements used in mechanisms.
● Knowledge of various manufacturing processes.
● Knowledge of basic thermodynamic and Fluid mechanics concepts.
*******
75
ESC-302 Electrical Machines & Drives 2L:0T:2P 3 Credits
Detailed Content:
Module 1: Introduction to D.C. Motors:
Principles of working, Significance of back EMF, Torque Equation, Types, Characteristics and
Selection of DC Motors, Starting of DC Motors, Speed Control, Losses and Efficiency, Condition
for Maximum Efficiency, Braking of DC Motors, Effect of saturation and armature reaction on losses;
Applications, Permanent Magnet DC Motors, Type and Routine tests.
Module 2: Introduction to Three Phase Induction (Asynchronous) Motor:
Types of induction motor, flux and MMF waves, development of circuit model, power across air gap,
torque and power output, starting methods, speed control, induction generator, induction machine
dynamics, high efficiency induction motors, Single phase IM, Modeling of induction machine.
Module 3: Introduction to Synchronous Machines:
Construction, types, armature reaction, circuit model of synchronous machine, determination of

synchronous reactance, phasor diagram, power angle characteristics, parallel operation of
synchronous generators, synchronizing to infinite bus bars, two axis theory, synchronous motor
operation, dynamics, modeling of synchronous machine, PM synchronous machines.
Module 4: Electric Drives, Dynamics and Control:
Definition, Advantages of electrical drives, Components of Electric drive system, Selection Factors,
speed control and drive classifications, Motor-Load Dynamics, Speed Torque conventions and multi
quadrant operation, Equivalent values of drive parameters. Load Torque Components, Nature and
classification of Load Torques, Constant Torque and Constant Power operation of a Drive, Steady
state stability, Load epilation and selection motors. .
Module 5: Introduction to DC Motor Drives:
Dc motors and their performance starting, transient analysis, speed control, ward Leonard drives,
Controlled rectifier fed drives, full controlled 3 phase rectifier control of dc separately excited motor],
multi-quadrant operation, Chopper controlled drives Closed loop speed control of DC motor.
Module 6: Induction and Synchronous Motor Drives:
Induction motor analysis, starting and speed control methods- voltage and frequency control, current
control, closed loop control of induction motor drives, rotor resistance control, Slip power recovery
– Static Kramer and Scherbius Drive, Single phase induction motor starting, braking and speed
control. Synchronous motor operation with fixed frequency, variable speed drives, PMAC and BLDC
motor drives, Stepper motor drives, switched reluctance motor drives.
(i) D. P. Kothari, I. J. Nagrath, “Electric Machines “, Tata McGraw Hill Publication, Fourth
edition, reprint 2012.
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(ii) A.E. Fitzgerald, Charles Kingsley Jr., Stephen D. Umans, “Electric Machinery”, Tata
McGraw Hill Publication, sixth edition, 2002.
(i) M. G. Say,” Alternating current machines”, fifth edition, E.L.B.S. Publication, 1987.
(ii) A. F. Puchstein, T.C. Lloyd, A.G. Conrad, “Alternating current machines”, John Wiley
and Sons, New York 1954.
(iii) P. C. Sen, “Principles of Electric Machines and Power Electronics “, John Wiley and Sons
Publication, second edition 1997.
(iv) M. H. Rashid, “Power Electronics -Circuits, devices and Applications”, 3rd Edition, PHI
Pub. 2004.
(v) B. K. Bose, “Modern Power Electronics and AC Drives”, Pearson Education, Asia, 2003.
(vi) G. K. Dubey, “Fundamentals of Electrical Drives”, Second edition (sixth reprint), Narosa
Publishing house, 2001.
Course outcomes:
At the end of this course, the students will demonstrate the ability to:
● Analyze DC drive, Induction and Synchronous Motors Drives.
● Evaluate the steady state behavior and basic operating characteristics of A.C Machine.
● Understand the basics of electric drives and fundamentals of drive dynamics.
● Demonstrate analytical skills to assess machine performance in steady state.
*******
77
PCC RAI-301 Analog & Digital Electronics 3L:0T:0P 3 Credits
Course Content:
Module 1: Physics of Bipolar Junction Transistors:
Structure of NPN and PNP Transistors, Energy-Band Diagram, Operation of BJT, I/V characteristics,
Large Signal model, Small signal model, Concept of trans conductance, Early Effect. Bipolar
amplifier: CE, CC & CB Physics of MOS Transistors: Structure of N and P MOSFET, Energy-Band
Diagram, Operation of MOSFET, Channel Length Modulation, CMOS Technology, Comparison of
Bipolar & MOS Devices.
Module 2: Fundamentals of Op-Amp:
Op-Amp Parameters Circuits with resistive feedback: Concept of feedback & their types, Inverting
& non-inverting configurations, current to voltage converters, voltage to current converters, summing
amplifier, difference amplifier, instrumentation amplifier.
Module 3: Non-linear circuits:
Schmitt trigger, Voltage comparators, comparator applications, precision rectifiers, analog switches,
peak detectors, sample & hold circuits, Integrators & differentiators, Clippers and Clampers
Feedback & Oscillator Circuit: Effect of positive and negative feedback, Analysis of practical
feedback amplifiers, Sinusoidal Oscillators (RC, LC and Crystal), Multi-vibrators using 555 timers.
Module 4: Logic Simplification and Combinational Logic Design:
Review of Boolean Algebra and De Morgan’s Theorem, SOP & POS forms, Canonical forms,
Karnaugh maps up to 6 variables, Binary codes, Code Conversion. MSI devices like Multiplexers,
Encoder, Decoder, Comparators, Half and Full Adders, Subtractors, BCD Adder, Barrel shifter and
ALU.
Module 5: Sequential Logic Design:
Building blocks like S-R, JK and D latch, Master-Slave JK FF, Edge triggered FF, Ripple and
Synchronous counters, Shift registers, Finite state machines, Design of synchronous FSM.
Module 6: Logic Families and Semiconductor Memories:
TTL NAND gate, Specifications, Noise margin, Propagation delay, fan-in, fan-out, Tristate TTL,
ECL, CMOS families and their interfacing, Memory elements, Concept of PLDs like PAL, PLA,
CPLDs, FPGA etc. Logic implementation using Programmable Devices (ROM, PLA).
(i) Behzad Razavi, “Fundamentals of Microelectronics”, Second Edition; Wiley, 2016.
(ii) Ramakant A Gaikwad, “Op-Amps and Linear Integrated Circuits”, PHI, 4th edition, 2016.
78
(i) Thomas L Floyd, “Electronic Devices”, 10th edition, Pearson, 2017.
(ii) G.B. Clayton, “Operational Amplifiers”, International Edition, 2nd Edition,1979.
(iii) A. Anand Kumar, “Fundamentals of Digital circuits”, PHI, Fourth edition, 2016.
(iv) R.P. Jain, “Modern digital Electronics”, Tata McGraw Hill, fourth edition, 2010.
Course Outcomes:
At the end of the course, the students will demonstrate the ability to:
● Design and Analyze Analog sub-circuits using BJT and FET.
● Design & analyze modular combinational circuits with MSI devices like MUX/DEMUX,
Decoder, Encoder, etc.
● Design the linear and non-linear applications of Op-Amp.
● Design & analyze synchronous sequential logic circuits with FFs and combinatorial circuits.
● Design & analyze modular combinational circuits with MSI devices like MUX/DEMUX,
Decoder, Encoder, etc.
*****
79
PCC RAI-302 Fundamentals of Materials Science & 2L:0T:0P 2 Credits

Smart Materials
Course Content:
 Material Science:
Module 1: Introduction to engineering materials & their properties:
Crystalline versus non crystalline solids, Unit cell, Crystal systems, Bravais lattice, Fundamental
reasons behind classification of lattice, Miller indices for directions & planes, Close-packed planes
& directions, packing efficiency, Interstitial voids, Role of X-ray diffraction in determining crystal
structures. Deformation of metals, understanding of some material-properties independent of
interatomic bonding forces/energies, Stiffness versus modulus, Theoretical/ideal strength versus
actual strength of metals, Crystal defects, Role of dislocations in deformation, Strengthening
Mechanisms, Role of Cottrell atmosphere.
Module 2: Phase Diagrams:
Objectives & classification, System, Phases & structural constituent of phase diagram. Temperature–
Pressure phase diagram of iron & Clausius –Clapeyron equation for boundary between phase regions
of temperature-versus-pressure phase diagrams, Gibbs phase rule, Lever rule, Solid solutions, Hume-
Rothery rules, Isomorphous, Eutectic, Peritectic & Eutectoid system, Equilibrium diagrams for non-
ferrous alloys.
Module 3: Heat Treatment:
Definition, Purpose & classification of heat treatment processes for various types of steels, Bainite
& Martensite formation, Introduction & applications of various case hardening & surface hardening
treatments, Precipitation Hardening, Heat treatment defects.
 Smart materials:
Module 4: Concept of Smart Materials:
Retrospective review, main notion, energy aspects of external influence, systematization and methods
of smart materials description: methods of materials taxonomy, smart material model, classification
of smart materials and engineering systems, Materials for electrical engineering and electronics:
conductors, semiconductors, dielectrics, magnetic materials, optically active materials, materials for
thermoelectric devices, smart battery materials, radio wave absorbing materials, sealing materials,
heat-insulating and sound absorbing materials.
Module 5: Structural material:
self-healing materials, heat and cold resistant materials, radiation resistant materials, corrosion-
resistant materials and anti-corrosive coatings, lubricants, frictional materials,
materials for operation at abnormal temperatures. Materials for biological and biomedical systems
materials for implants, targeted drug delivery and tissue growth, antimicrobial materials, filters for
water cleaning, biodegradable packages, active and bio-selective packages.
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Module 6: Mechanics of smart materials:
Object and subject of smart materials mechanics, structural and functional analysis smart materials
in terms of mechanics, the materials with negative characteristics as source of smart effects in
structures: Auxetics, statements and solutions of some smart materials based mechanics problems –
e.g. self-healing of cracks, self-reinforcing of multimodular materials, porous materials-auxetic
materials reversible transformations, self- assembling porous materials etc. Smart materials and
energy problem: Global energy problem, energy consumption for production of materials, technical
and economical efficiency of smart materials and technical systems.
(i) Raghvan, Materials Science and Engineering, Prentice Hall of India Publishing 5th
Edition, 2006.
(ii) W.D. Callister, Materials Science and Engineering 8th Edition, 2006.
(i) Encyclopedia of Smart Materials (Volume 1 and 2) by Mel Schwartz, John Wiley and
Sons, 1st Edition, 2002.
(ii) Design, Fabrication Properties and Applications of Smart and Advanced Materials, Edited
by Xu Hou, CRC Press, 1st Edition, 2016.
(iii) Smart Materials: Integrated Design, Engineering Approaches and Potential Applications,
Edited by Anca Filimon, Apple Academic Press and CRC Press, 1st Edition, 2019.
(iv) Smart Materials Taxonomy by Victor Goldade, Serge Shil’ko, Alexander Neverov, CRC
Press, 1st Edition, 2016.
(v) Askland & Phule, Material Science & Engineering of materials 4th Edition, 2002.
(vi) Reed Hill, Physical Metallurgy 4th Edition, 2009.
(vii) S.H. Avner, Introduction to Physical Metallurgy 2nd Edition, 1974.
(viii) D.A. Porter & K.E. Easterling, Phase Transformations in Metals & Alloys 3rd Edition,
1992.
Course Outcomes:
At the end of the course, the students will be able to:

● Analyze the properties of smart materials and structures in the broader external conditions for
the utilization in selected technologies.
● Understand the basic properties that characterize the behavior of materials and classify the
materials with their types of loadings/environment that materials should withstand.
● Acquire the knowledge of various smart materials, their fabrication and their
multidisciplinary applications.
● Know the concept of “Smart” materials and systems.
*****
81
PCC RAI-303 Fundamentals of Robotics & AI 3L:0T:0P 3 Credits
Detailed Content:
Module 1: Introduction:
Introduction to Robotics-classification with respect to geometrical configuration (Anatomy), Industrial robots

specifications. Selection based on the Application. Controlled system & chain type: Serial manipulator &
Parallel Manipulator. Components of Industrial robotics-precession of movement-resolution, accuracy &
Repeatability-Dynamic characteristics- speed of motion, load carrying capacity & speed of response.
Module 2: Sensors, Drives and Grippers:
Characteristics of sensing devices, Criterion for selections of sensors, Classification, & applications of sensors.
Internal sensors: Position sensors, & Velocity sensors, External sensors: Proximity sensors, Tactile Sensors,
& Force or Torque sensors.
Drives – Basic types of drives. Advantages and Disadvantages of each type. Selection / suitability of drives
for Robotic application. Controllers, Types of Controller and introduction to close loop controller Grippers,
Mechanical Gripper-Grasping force, mechanisms for actuation, Magnetic gripper vacuum cup gripper-
considerations in gripper selection & design.
Module 3: Kinematics of Manipulators:
Kinematics-Manipulators Kinematics, Rotation Matrix, Homogeneous Transformation Matrix, D-H

transformation matrix, D-H method of assignment of frames. Direct and Inverse Kinematics for industrial
robots. Differential Kinematics for planar serial robots
Robot Applications: Material transfer and machine loading/unloading, processing operations assembly and
inspection. Programming and Languages: Methods of robot programming, Introduction to various languages
such as RAIL and VAL II …etc., Features of each type and development of languages for recent robot systems.
Module 4: Introduction to Artificial Intelligence:
Overview: foundations, scope, problems, and approaches of AI. Intelligent agents: reactive, deliberative, goal-
driven, utility-driven, and learning agents, Artificial Intelligence programming techniques.
Module 5: Problem-solving through Search:
forward and backward, state-space, blind, heuristic, problem reduction, alpha-beta pruning, minimax,
constraint propagation, neural, stochastic, and evolutionary search algorithms, sample applications.
Module 6: Knowledge Representation and Reasoning:
Ontologies, foundations of knowledge representation and reasoning, representing and reasoning about objects,
relations, events, actions, time, and space; predicate logic, situation calculus, description logics, reasoning
with defaults, reasoning about knowledge, sample applications. Planning: planning as search, partial order
planning, construction and use of planning graphs. Representing and Reasoning with Uncertain Applications
of AI (vision/robotics etc.).
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(i) John J. Craig, Introduction to Robotics, Pearson Education Inc., Asia, 3rd Edition, 2005.
(ii) Asitava Ghoshal, Robotics: Fundamental concepts and analysis, Oxford University Press, 2006.
(iii) Dilip Kumar Pratihar, Fundamentals of Robotics, Narosa Publishing House, 2019.
(i) S. K. Saha, Introduction to Robotics, TATA McGraw Hills Education, 2014.

(ii) S. B. Nikku, Introduction to Robotics – Analysis, Control, Applications, 3rd edition, John Wiley
& Sons Ltd., 2020.
(iii) Mikell Groover, Mitchell Weiss, Roger N. Nagel, Nicholas Odrey, Ashish Dutta, Industrial
Robotics 2nd edition, SIE, McGraw Hill Education (India) Pvt. Ltd., 2012.
(iv) R. D. Klafter, Thomas A. Chmielewski, and Michael Negin, Robotic Engineering – An Integrated
Approach, EEE, Prentice Hall India, Pearson Education Inc., 2009.
(v) Russell, Stuart and Norvig, Peter, Artificial Intelligence: A Modern Approach" Prentice Hall,
2003.
(vi) Aleksander, Igor and Burnett, Piers, Thinking Machines Oxford, 1987.
(vii) Bench-Capon, T. J. M., Knowledge Representation: An approach to artificial intelligence
Academic Press, 1990.
(viii) Genesereth, Michael R. and Nilsson, Nils J, Logical Foundations of Artificial Intelligence Morgan
Kaufmann, 1987.
(ix) Michael Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems (3rd Edition), 2011.
(x) Vinod Chandra S.S., Anand Hareendran S, "Artificial Intelligence and Machine Learning", 2014.
(xi) Luger " Artificial Intelligence", Edition 5, Pearson, 2008.
Course Outcomes:

● Differentiate types of robots and robot grippers.
● Apply basic principles of AI in solutions that require problem solving, inference, perception,
knowledge representation and learning.
● Understand AI, its current scope and limitations, and societal implications.
● Analyze forces in links and joints of a robot.
● Demonstrate awareness and a fundamental understanding of AI techniques in intelligent agents,
artificial neural networks.
● Model forward and inverse kinematics of robot manipulator.
*****
83
PCC RAI-304 Wireless Networks 1L:0T:0P 1 Credit
Course Content:
Module 1: Wireless Networks:
Wireless network topologies, infrastructure and ad-hoc networks, different generations of wireless
networks; The cellular concept and design fundamentals, coverage and user capacity.
Module 2: Wireless Fading Channels:
Large scale path loss modeling and shadow fading, indoor and outdoor propagation models;
Multipath and Doppler, types of small-scale fading, simulation techniques.
Module 3: Multiple Access Techniques:

Performance in fading and multipath channels. Fixed assignment and random access; Capacity and
performance of FDMA, TDMA, DS/CDMA and FH/CDMA; WCDMA and OFDMA; Access
techniques for WLAN, Bluetooth and mobile data networks.
Module 4: Ad Hoc Wireless Sensor Networks:
Overview, Communication Coverage, Sensing Coverage, Localization, Routing.
Module 5: Wireless Local Area Networks:
Introduction, WLAN Topologies, WLAN Technologies, IEEE 802.11 WLAN, Other WLAN
Standards- HIPERLAN.
Module 6: Quality-of-Service (QoS) in Wireless Networks:
QoS issues in Wireless Networks, a case study of broadband service regulations for maintaining QoS
by telecom regulatory bodies such as TRAI.

(i) Larry L. Peterson and Bruce S. Davie,” Wireless Networking Complete”, Morgan
Kaufmann, 2010.
(ii) Pahalvan, K. and Krishnamurthy, P., “Principles of Wireless Networks: A Unified
Approach”, Pearson Education, 2017.
(i) Prasad, R. and Munoz, L., “WLANs and WPANs: Towards 4G Wireless”, Artech House,
2003.
(ii) Haykin, S. and Moher, M., “Modern Wireless Communication”, Pearson Education,
2021.
(iii) Pandya, R., “Mobile and Personal Communication Systems and Services”, Prentice-Hall
of India, 1999.
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(iv) Rappaport, T.S., “Wireless Communications: Principles and Practice”, 2nd Ed., Pearson
Education, 1996.
(v) Stallings, W., “Wireless Communications and Networking”, Pearson Education, 2016.
Course Outcomes:
● Explain concepts and issues involved in the design of wireless networks.
● Understand cellular (mobile) communication systems.
● Analyze mechanisms to improve Quality of service in Networking.
● Elaborate the concept of multiple access in Communication Networking.
● State key features and operating principles of Wi-Fi (Bluetooth) and WLAN.
*****
85
LC RAI-301 Material Science Laboratory 0L:0T:2P 1 Credit
Course Content:
• Hardness testing (Study of Hardness conversion number).
• Rockwell/Vickers hardness test.
• Brinell and Poldi hardness Test.
• Impact Test for Steel, Aluminum, Brass and Copper (Charpy/Izod).
• Non Destructive testing - Dye Penetrant Test/ Magnetic Particle test/ Ultrasonic Test.
• Specimen Preparation procedure for microscopic examination & Demonstration of
Optical Metallurgical microscope.
• Observation and Drawing of Microstructure of Steels, Cast Iron of various compositions,
Non Ferrous Metals of various compositions.
• Testing of materials used in robotics technology (Hardness, Strength etc.).
• Aluminium casting and Aluminum alloys.
• Carbon Fiber plates, tubes and channels.
• FRP sheets and Channels.

(i) Raghvan, Materials Science and Engineering, Prentice Hall of India Publishing 5th
Edition, 2006.
(ii) W.D. Callister, Materials Science and Engineering 8th Edition, 2006.

(i) Encyclopedia of Smart Materials (Volume 1 and 2) by Mel Schwartz, John Wiley and
Sons, 1st Edition, 2002.
(ii) Design, Fabrication Properties and Applications of Smart and Advanced Materials, Edited
by Xu Hou, CRC Press, 1st Edition, 2016.
(iii) Smart Materials: Integrated Design, Engineering Approaches and Potential Applications,
Edited by Anca Filimon, Apple Academic Press and CRC Press, 1st Edition, 2019.
(iv) Smart Materials Taxonomy by Victor Goldade, Serge Shil’ko, Alexander Neverov, CRC
Press, 1st Edition, 2016.
(v) Askland & Phule, Material Science & Engineering of materials 4th Edition, 2002.
(vi) Reed Hill, Physical Metallurgy 4th Edition, 2009.
(vii) S.H. Avner, Introduction to Physical Metallurgy 2nd Edition, 1974.
(viii) D.A. Porter & K.E. Easterling, Phase Transformations in Metals & Alloys 3rd Edition,
1992.
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Course Outcomes:
● Determine mechanical properties using destructive and nondestructive testing of materials.
● Study of different parameters of the system viz., phases, variables, components, grains, grain
boundary, and degree of freedom. etc.
● Understand the use of non-conventional materials such as CNT, FRP, Al alloys etc.
● Select appropriate materials for Robotic applications.
*****
87
LC RAI-302 Analog & Digital Electronics 0L:0T:2P 1 Credit

Laboratory
Detailed Content:
● Input and Output Characteristics of BJT in CE configuration.
● Transfer and Drain Characteristics of MOSFET.
● Design and simulate LC and RC oscillators.
● Build and test LC or RC oscillator.
● Op-amp Applications-I: Integrator, Differentiators, Comparator, Schmitt trigger.
● Design different types of multivibrators using IC 555.
● Simplification and implementation of a Boolean function using k -map technique e.g. code
converter.
● Use of Multiplexers, Encoders, Demultiplexer and decoders for implementing logic.
● Design and implementation of ripple and synchronous counters using JK and D FF and
additional gates.
● Design of MOD counter using ICs like 7490/93 (ripple) and 74192/193(synchronous).

(i) Behzad Razavi, “Fundamentals of Microelectronics”, Second Edition; Wiley, 2016.
(ii) Ramakant A Gaikwad, “Op-Amps and Linear Integrated Circuits”, PHI, 4th edition,2016

(i) Thomas L Floyd, “Electronic Devices”, 10th edition, Pearson, 2017.
(ii) G.B. Clayton, “Operational Amplifiers”, International Edition, 2nd Edition,1979.
(iii) A. Anand Kumar, “Fundamentals of Digital circuits”, PHI, Fourth edition, 2016.
(iv) R.P. Jain, “Modern digital Electronics”, Tata McGraw Hill, fourth edition, 2010.
Course Outcomes:
● Analyze and design various applications of Op-Amp.
● Identify and characterize basic devices such as BJT and FET from their package information
by referring to manufacturers' data sheets.
● Design, simulate, built and debug complex sequential circuits based on an abstract functional
specification.
● Design, simulate, built and debug complex combinational circuits based on an abstract
functional specification.
*****
88
LC RAI-303 Robot Programming 0L:0T:2P 1 Credit

Laboratory
Detailed Content:
● Robot Programming using Flex Pendant- Lead through programming including Coordinate
systems of Robot.
● Wrist Mechanism-Interpolation-Interlock commands.
● VAL language commands motion control, hand control, program control, pick and place
applications.
● Palletizing applications using VAL.
● Object detection and Sorting.
● Robot welding application using VAL program.
● RAPID Language and AML.
● Programming using Robot studio software.

(i) Hughes Cameron, “Robot Programming”, Pearson Publishers, 2016.
(ii) J. Srinivas, “Robotics: Control and Programming”, Narosa Publication, 2009.

(i) Lentin Joseph, “Learning Robotics Using Python”, Second Edition Design, simulate,
program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and
Python, Packt Publishing Paperback – 1 January 2018.
(ii) Staple Danny, “Learn Robotics Programming”, Packt Publishing Limited, Feb 2021.
(iii) Kailashi Chandra Mahajan, Prashant Kumar Patnnaik, Raghvendra Kumar, “Robotics for
Engineers”, Vikas Publishing House, 2016.
Course Outcomes:
● Use fundamental and technical knowledge of robot Programming.
● Learn Robot Programming using teach Pendant for various applications.
● Use RAPID Language and AML.
● Program a Robot for Industrial applications.
● Program using Robot studio software.
*****
89
SEMESTER – IV
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91
SEMESTER IV
BSC-401 Probability & Statistics 2L:1T:0P 3 credits
Detailed Content:
Module 1: Descriptive statistics:

Measures of location and variation. Visualization of data: Frequency tables, bar diagrams,
histograms, heat maps, other visualization tools. Review on introduction to combinatorics and
probability theory.
Module 2: Some of the basic probability distributions:

Binomial, Poisson, Exponential, and Normal. Central limit theorem.
Module 3: Introduction to ‘R’:

Introductory R language fundamentals and basic syntax, major R data structures, Using R to perform
data analysis, creating visualizations using R.
Module 4: Basic statistical inference and hypothesis testing:

Estimation, basic tests such as t- test, z-test, F-test, χ2 –test; Non parametric tests: Sign test,
Wilcoxon signed rank test.
Module 5: Regression methods:

Simple linear regression and multiple regression.
Module 6: Engineering applications of statistics:

Engineering applications of statistics (Branch Specific (any 2)): Discussion on reliability and quality
control. Introduction to random processes, stochastic processes, Markov chains. Machine learning
and data science.
(i) Ronald E, Walpole, Sharon L. Myers, Keying Ye, Probability and Statistics for Engineers
and Scientists (8th Edition), Pearson Prentice Hall, 2007.
(ii) Tilman M. Davies, the book of R: A first course in Programming and Statistics (1st
Edition), No Starch Press, USA, 2016.
(i) Ross S.M., Introduction to probability and statistics for Engineers and Scientists (8th
Edition), Elsevier Academic press, 2014.
(ii) S. P. Gupta, Statistical Methods, S. Chand & Sons, 37th revised edition, 2008.
(iii) Kishor S. Trivedi, Probability and Statistics with Reliability, Queuing and Computer
Science Applications (2nd Edition), Wiley Student edition, 2008.
(iv) Stephens L.J., Schaum’s outline of statistics for Engineers, Latest edition, 2019.
(v) The practice of Business Statistics by Manish Sharma and Amit Gupta, Khanna
Publishing Company Private Limited, New Delhi, 2014.
(vi) Norman Matloff, The Art of R Programming - A Tour of Statistical Software Design, (1st
Edition), No Starch Press, USA, 2011.
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(vii) Sudha Purohit, Sharad Gore, Shailaja Deshmukh, Statistics using R (2nd Edition), Narosa
Publications, 2019.
(viii) Randall Pruim, Foundations and Applications of Statistics - An introduction using R (2nd
Edition), American Mathematical Society, 2018.
(ix) Hadley Wickham and Garrett Grolemund, R for Data Science: Import, Tidy, transform,
Visualize and Model Data, (1st Edition), O’Reilly Publications, 2017.
Course Outcomes:
● Make use of concepts of random variables and associated probability distributions to solve
problems, illustrate the central limit theorem.
● Demonstrate a number of methods of summarizing and visualizing data sets, evaluating
probabilities of events.
● Evaluate for basic statistical inference (t-test, z-test, F-test, χ2 –test, confidence interval, non-
parametric tests).
● Explain basic principles of regression analysis and perform the same.
● Demonstrate use of R software for all the above.
*****
93
BSC-402 Biology for Engineers & Biomimetics 2L:1T:0P 3 credits
Course Content:
Module 1: Biomolecules and biopolymers:

Structure and Function, Organic and inorganic molecules; Unique Properties of water, Vitamins and
Minerals, Carbohydrates, Lipids, Amino Acids and proteins, Nucleic Acids (DNA and RNA), Cell
as a basic unit of life, prokaryotic and eukaryotic cells, microbes, plant and animal cells; Cell
organelles, structure and function; Cell membrane, Levels of organization: cells, tissues, organs,
systems & organisms.
Module 2: Transport Phenomena in Biological Systems:

Membrane channels and ion channels; Fluid flow and mass transfer (nutrients & ions); In plants:
Xylem and Phloem; In animals: Blood and Lymph Transport of gases: Oxygen and Carbon dioxide.
Heat Transport - Body temperature regulation. Communication: Cell junctions, Cell-cell
communications, cell signaling, Hormones, Pheromones and cell behavior, Defense mechanisms:
In plants: Herbivore, secondary metabolites, In animals: Innate and Adaptive immune systems.
Module 3: Engineering perspectives of biological sciences:

Biology and engineering, crosstalk – At cell level: Hybridoma, technology, At tissue level: Plant
Tissue Culture, Animal Tissue. Culture; Tissue Engineering: Principles, methods and applications,
Nano biotechnology.
Module 4: Introduction to Biomimetics:

Introduction to Biomimetics and Biomimicry, Biomimetic Principles, steps in biomimetic method,
Biomimetic Material and working principle.
Module 5: Biomimetic sensors:

Sensor Classification, Acoustic Sensors, Chemical Sensors, Electric Sensors, Optical Sensors,
Magnetic Sensors, Mechanical Sensors, Thermal Sensors, Radiation sensors, Biomimetic Sensor
Design, Biomimetic tactile Sensors based on Nanomaterials, Recent Advances in biomimetic sensing
technology, Ionic Polymer and Metal composites as biomimetic Sensors and Actuators, Applications
of Sensors.
Module 6: Biomimetic actuators:

EAP (Electroactive polymers), Artificial Muscles, Biomimetic applications of electrochemical
actuators, Materials used for Actuators, Hydrogel actuators and Sensors for Biomedical soft robots,
3D printing Magnetic actuators, Biomimetic Actuation device and System, Control of Biomimetic
System, Non Muscular Biomimetic Actuator based on electrodynamic swelling.
(i) Palsson B.O. and Bhatia S.N, “Tissue Engineering”, Pearson, 2009.
(ii) Rao CNR, et.al. “Chemistry of Nanomaterials: Synthesis, Properties and Applications”,
2004.
(i) Yoseph Bar-Cohen, “Biomimetics- Biologically Inspired Technologies”, 2005.
94
(ii) Eggins B.R. “Biosensors: An Introduction”, John Wiley & Sons Publishers, 2006.
(iii) Lehninger, A. L., Nelson, D. L., & Cox, M. M. Lehninger principles of biochemistry,
New York: Worth Publishers, 2000.
(iv) Lodish H, Berk A, Zipursky SL, et al. “Molecular Cell Biology”, W. H. Freeman, 2000.
(v) Joseph D. Bronzino, John Enderle, Susan M. Blanchard “Introduction to Biomedical
Engineering”, 1999.
(vi) Routledge Taylor and Francis group, “Introduction to Biomedical Engineering
technologies”, 2012.
(vii) Fraden, J., “Handbook of modern sensors: physics, designs, and applications”, Springer,
New York, 2004.
(viii) Toko, K., “Biomimetic sensor technology”, Cambridge University Press, Cambridge,
2000.
(ix) Purves W.K., Sadava, D., Orians, G.H., Heller, H.C., “Life, The Science of Biology”, 6th
edition, 2001.
Course Outcomes:
● Understand basic biological principles and organizational structure of living systems at

molecular level.
● Know Energy transformations and information processing in biological systems.
● Appreciate biological processes with an engineering perspective.
● Know about Different Biomimetic sensors.
● Impart knowledge about the common corridors of biology and engineering and biologically
inspired technologies.
● Comprehend basic biological principles and organizational structure of living systems at
cellular level.
*****
95
PCC RAI-401 Machine Learning 1L:0T:2P 2 credits
Detailed Content:
Module 1: Introduction to Machine Learning:

Introduction to Machine Learning, Learning Paradigms, PAC learning, Basics of Probability, Version
Spaces.
Module 2: Supervised Learning:

Linear and Nonlinear examples, Multi-Class & Multi-Label classification, Linear Regression,
Multilinear Regression, Naïve Bayes Classifier, Decision Trees, ID3, CART, Error bounds.
Module 3: Classifiers:
K-NN classifier, Logistic regression, Perceptrons, Single layer & Multi-layer, Support Vector
Machines, Linear & Non-linear.
Module 4: Unsupervised Learning:

Clustering basics (Partitioned, Hierarchical and Density based), K-Means clustering, K-Mode
clustering, Self-organizing maps, Expectation maximization, Principal Component Analysis.
Module 5: Evaluation Metrics and ensemble learning:

ROC Curves, Evaluation Metrics, Significance tests, Error correction in Perceptrons- Bagging and
Boosting (Random forests, Adaboost, XG boost inclusive).
Module 6: Machine learning process in practice:

Data collection, Preprocessing (Missing values, Normalization, adopting to chosen algorithm etc.,),
Outlier Analysis (Z-Score), Model selection & evaluation, Optimization of tuning parameters,
Setting the environment, Visualization of results.
(i) Ethem Alpaydin,"Introduction to Machine Learning, MIT Press, Prentice Hall of India,
Third Edition 2014.
(ii) Tom Mitchell, Machine Learning‖, McGraw Hill, 3rd Edition,1997.
(i) Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar "Foundations of Machine

Learning”, MIT Press, 2012.
(ii) Charu C. Aggarwal, Data Classification Algorithms and Applications‖, CRC Press, 2014.
(iii) Christopher M. Bishop, Pattern Recognition and Machine Learning‖, Springer Edition.
2011.
Course Outcomes:
● Understand, visualize, analyze and preprocess the data from a real-time source.
● Apply appropriate algorithms to the data.
96
● Analyze the results of the algorithm and convert to appropriate information required for the
real – time application.
● Evaluate the performance of various algorithms that could be applied to the data and to
suggest the most relevant algorithm according to the environment.
*****
97
PCC RAI-402 Sensors and Actuators for Robotics 2L:0T:0P 2 Credits
Detailed Content:
Module 1: Anatomy of Robotic system:

links and joints in robots, types of joints, end effectors, concept of degrees of Freedom and its
calculations.
Module 2: Sensors:
Pressure/contact. Resistive position. Infrared. Light. Position Sensors, optical encoders, proximity
sensors, Range sensors, Ultrasonic sensors, Touch and Slip sensors. sensors for motion and position,
Force, torque and tactile sensors, Flow sensors, Temperature sensing devices.
Module 3: Vision Sensors:

Vision System Devices, Image acquisition, Masking, Sampling and quantisation, Image Processing
Techniques, Noise reduction methods, Edge detection, Segmentation.
Module 4: Advanced Sensor Technology:

Smart sensors, MEMS based sensors, Innovations in sensor technology
Actuators and its selection while designing a robot system. Types of transmission systems.
Module 5: Electric Actuators:

Direct current motor, Permanent magnet stepper motor, Servo Control DC motors, Linear and
latching linear actuators, Rotary actuators, Piezoelectric actuators, Actuator parameters and
characteristics, Stepper motors, Specifications and characteristics of Stepper Motors Servo Motors.
Module 6: Pneumatic & Hydraulic actuators:

Hydraulic and pneumatic power actuation devices:
Hydraulic Actuators, selection of linear actuating cylinders, Hydraulic Motors, Pneumatic
actuators, design considerations and selection, pneumatic cylinders, pneumatic drive system,
Linear & rotary actuators. Advanced actuators – Piezoelectric actuators, elastomer actuators,
soft actuators, shape memory alloy based actuators, under actuated robotic hand.
(i) D. Patranabis, Sensors and Transducers, PHI, 2nd Edition 2013.

(ii) Jon S. Wilson, Sensor Technology Handbook, Elsevier, 2005.
(i) Mc Comb, G. Robot builder's bonanza. 5th ed. New York: McGraw-Hill, 2019. ISBN
9781260135015.
(ii) Braünl, T. Embedded robotics: mobile robot design and applications with embedded
systems. 3rd edition Berlin; Heidelberg: Springer, 2008. ISBN 9783540705338.
(iii) Martin, F.G. Robotic explorations: a hands-on introduction to engineering. Upper Saddle
River, N.J.: Prentice-Hall, 2001. ISBN 0130895687.
(iv) Gerard C., M. Meijer, Smart Sensors System, Wiley, 2008.
98
(v) Andrzej M. Pawlak, Sensors and Actuators in mechatronics, Taylor & Francis Group,
2007.
(vi) S. R. Ruocco, Robot Sensors & Transducers, Springer, 2013.
Course Outcomes:
● Analyze sensory systems in robotics.

● Select the sensor for robotic application and design the systems.
● Analyze actuators and configuring the parameters of Actuators.
*****
99
PCC RAI-403 Microcontrollers and its Applications 2L:0T:0P 2 credits
Course Content:
Module 1: Fundamentals of Microprocessors:

Fundamentals of Microprocessor architecture, 8-bitMicroprocessor and Microcontroller architecture,
comparison of 8-bit microcontrollers, 16-bit and 32-bit microcontrollers, definition of embedded
system and its characteristics, role of microcontrollers in embedded Systems, overview of the 8051
family, introduction to ARM7, Intel I (i3, i5, i7) series processors.
Module 2: The 8051 Architecture:

Internal Block Diagram, CPU, ALU, address, data and control bus, working registers, SFRs, Clock
and RESET circuits, Stack and Stack Pointer, Program Counter, I/O ports, RAM- ROM organization,
Memory Structures, Data and Program Memory, Timing diagrams and Machine Cycles.
Module 3: Instruction Set:

Addressing modes: Instruction syntax, Data types, Subroutines Immediate addressing, Register
addressing, Direct addressing, Indirect addressing, Relative addressing, Indexed addressing, bit
inherent addressing, bit direct addressing, 8051 Instruction set, Instruction timings, Data transfer
instructions, Arithmetic instructions, Logical instructions, Branch instructions, Subroutine
instructions, Bit manipulation instruction, Interrupts.
Module 4: Programming:
Assembly language programs, C language programs, Assemblers and compilers, Programming and
debugging tools.
Module 5: I/O and External Communication Interface:

Memory and I/O expansion buses, control signals, memory wait states. Interfacing of peripheral
devices such as General Purpose I/O, timers, counters, memory devices, Synchronous and
Asynchronous Communication, serial communication, RS232, SPI, I2C. Introduction and interfacing
to protocols like Blue-tooth and Zig-bee.
Module 6: Applications:
LED, LCD and keyboard interfacing, Stepper motor interfacing, DC Motor interfacing, sensor
interfacing, Analog-to-Digital Convertors, Digital-to-Analog Convertors, Sensors with Signal
conditioning Interface.
(i) Kenneth J. Ayala, “The 8051 Microcontroller Architecture, Programming &

Applications”, Penram International, 1991.
(ii) Raj Kamal, “Embedded Systems: Architecture, Programming and Design”, Tata
McGraw-Hill Education, 2008.
(i) M. A. Mazidi, J. G. Mazidi and R. D. McKinlay, “The 8051 Microcontroller and

Embedded Systems: Using Assembly and C”, Pearson Education, 2007.
(ii) K. J. Ayala, “8051 Microcontroller”, Delmar Cengage Learning, 2004.
100
(iii) R. Kamal, “Embedded System”, McGraw Hill Education, 2009.

(iv) R. S. Gaonkar, “, Microprocessor Architecture: Programming and Applications with the
8085”, Penram International Publishing, 1996.
(v) D. A. Patterson and J. H. Hennessy, "Computer Organization and Design: The
Hardware/Software interface”, Morgan Kaufman Publishers, 2013.
(vi) D. V. Hall, “Microprocessors & Interfacing”, McGraw Hill Higher Education, 1991.
Course Outcomes:
● Comprehend and analyze architectures of microprocessors, microcontroller and ARM7

processor.
● Comprehend the memory organization of 8051 microcontrollers.
● Showcase the skill, knowledge and ability of programming using instruction set.
● Comprehend and use peripheral serial communication and the concepts of interrupts in 8051
microcontrollers.
● Interface 8051 microcontroller with the input and output devices such as LEDs, LCDs, 7-
segment display and keypad.
● Design 8051 microcontroller based system with analog-to-digital converters and digital-to-
analog converters within realistic constraints like user specification, availability of
components etc.
*****
101
PCC RAI-404 Signals and Systems 2L:0T:0P 2 credits
Course Content:
Module 1: Introduction to Signals and Systems:

Signals and systems as seen in everyday life, and in various branches of engineering and science.
Signal properties: periodicity, absolute integrability, determinism and stochastic character. Some
special signals of importance: the unit step, the unit impulse, the sinusoid, the complex exponential,
some special time-limited signals; continuous and discrete time signals, continuous and discrete
amplitude signals. Classification of systems - Static and dynamic, Linear and nonlinear, Time-variant
and time-invariant, Causal and non-causal, Stable and unstable, Impulse response and step response
of systems. System properties: linearity: additivity and homogeneity, shift-invariance, causality,
stability, realizability.
Module 2: Behavior of continuous and discrete-time LTI systems:

Impulse response and step response, convolution, input-output behavior with aperiodic convergent
inputs, cascade interconnections. Characterization of causality and stability of LTI systems. System
representation through differential equations and difference equations. State-space Representation of
systems. State-Space Analysis, Multi-input, multi-output representation. State Transition Matrix and
its Role. Periodic inputs to an LTI system, the notion of a frequency response and its relation to the
impulse response.
Module 3: System Analysis of Fourier Transforms:

Fourier series representation of periodic signals, Waveform Symmetries, Calculation of Fourier
Coefficients. Fourier Transform, convolution/multiplication and their effect in the frequency domain,
magnitude and phase response, Fourier domain duality., Continuous-time Fourier transform (CTFT),
The Discrete- Time Fourier Transform (DTFT) and the Discrete Fourier Transform (DFT). Parseval's
Theorem, Inverse Fourier Transform.
Module 4: System Analysis of Laplace Transform:

Relation between Laplace and Fourier transforms, Review of the Laplace Transform for continuous
time signals and systems, system functions, poles and zeros of system functions and signals, Laplace
domain analysis, Inverse Laplace transform, solution to differential equations and system behavior.
Module 5: System Analysis of z-Transforms:

The z-Transform for discrete time signals and systems, system functions, poles and zeros of systems
and sequences, z-domain analysis, s-plane to z-plane mapping, Inverse z-transform, Solution to
difference equations using z-transform, Region of convergence, Stability analysis.
Module 6: Sampling and Reconstruction:

The Sampling Theorem and its implications. Spectra of sampled signals. Reconstruction: ideal
interpolator, zero-order hold, first-order hold. Aliasing and its effects. Relation between continuous
and discrete time systems. Introduction to the applications of signal and system theory: modulation
for communication, filtering, feedback control systems.
(i) Michael J. Robert, “Introduction to Signals and Systems”, TMH, Second edition, 2003.
(ii) Tarun Kumar Rawat “Signals and Systems”, Oxford University Press, First edition, 2010.
102
(iii) Alan V Oppenhein, Alan S Wiilsky, “Signals and systems” PHI, Second edition, 2009.
(i) A. V. Oppenheim, A. S. Willsky and S. H. Nawab, “Signals and systems”, Prentice Hall
India, 1997.
(ii) S. Haykin and B. V. Veen, “Signals and Systems”, John Wiley and Sons, 2007.
(iii) A. V. Oppenheim and R. W. Schafer, “Discrete-Time Signal Processing”, Prentice Hall,
2009.
(iv) B. P. Lathi, “Linear Systems and Signals”, Oxford University Press, 2009.
(v) J. G. Proakis and D. G. Manolakis, “Digital Signal Processing: Principles, Algorithms,
and Applications”, Pearson, 2006.
(vi) H. P. Hsu, “Signals and systems”, Schaum’s series, McGraw Hill Education, 2010.
(vii) M. J. Robert “Fundamentals of Signals and Systems”, McGraw Hill Education, 2007.
Course Outcomes:
● Classify systems based on their properties: in particular, to understand and exploit the
implications of linearity, time-invariance, causality, memory, and bounded-input, bounded-
out (BIBO) stability.
● Analyze and realize discrete system using z transform.
● Determine Fourier transforms for continuous-time and discrete-time signals (or impulse-
response functions), and understand how to interpret and plot Fourier transform magnitude
and phase functions.
● Understand the sampling theorem and how it links continuous-time signals to discrete-time
signals.
*****
103
PCC RAI-405 Robot Safety and Maintenance 2L:0T:0P 2 credits
Course Content:
Module 1: Introduction to Robot Safety:

Introduction, Safety-Related Terms and Definitions, Organizations Concerned with Safety,
Introduction, Robotic Safety Problems and Hazards, Use of Robots to Promote Safety, Weak Points
in Planning and Design, \Operations Causing Safety Problems, The Manufacturer's and User's Role
in Robot Safety, Safety Considerations in Robot Design, Installation, Programming, and Operation
and Maintenance, Robot Safeguard Methods.
Module 2: Robot Accidents:

Introduction. Real-Life Examples of Robot Accidents Robot Accidents in Japan, Western Europe,
and the United States Causes and Characteristics of Robot Accidents Effects of Robot Accidents and
Periods Off Work Due to Robot Accidents Robot Accidents at Manufacturer and User Sites Robot
Accident Analysis and Prevention.
Module 3: Robot Safety and Safety devices:

Introduction, Robot Safety Education, Safety Considerations in Robot Testing and Start-Up,
Commissioning, and Acceptance, Safety Considerations in Robot Welding Operations, Robot Safety
in the Automobile Industry, Stopping Grippers of Industrial Robots Not Dropping Throwing Work
Items When Experiencing Energy Loss or Not Gripping on the Return of Energy , Robot
Standardization and Safety Standards, , Safety Devices, STOP type of a Robot, Emergency Stop,
Mode select switch, Deadman switch, Safeguards, Operation inside of the safety fence, Safety
Procedures for entering the safety fence.
Module 4: Human Factors in Robotics:

Introduction, Robots Versus Humans , Human Factors' Issues During the Factory Integration of
Robotic Systems, Built-In Human Biases and Some Design Improvement Guidelines for Improving
Robot Operator Comfort and Productivity, Benefits and Drawbacks of Robotization from the
Standpoint of Human Factors and Rules of Robotics with Respect to Humans, Humans at Risk from
Robots and Guidelines for Safeguarding the Operator and the Teacher, Human Factors'
Considerations to Robotic Safety, Training for Reducing Human Error in Robotics and Human Error
Data in Robotics, Reliability Analysis of a Robot System with Human Error.
Module 5: Robot Maintenance:

Introduction, General Maintenance Functions and Types of Maintenance, Robot Maintenance Needs
and Types, Robot Parts and Special Tools for Maintenance and Repair, Robot Warranty Coverage
and Preventive Maintenance Kits, Robot Inspection, Some Guidelines for Safeguarding Robot
Maintenance Personnel, Some Models Useful in Performing Robot Maintenance.
Module 6: Safety Standards for Robotic Technology:

BIS and ISO safety standards for Robots, Safety management system, Hazard identification, Risk
analysis and Evaluation, Audit Programme, Preventive Maintenance of Robots, Accident Prevention
Techniques, Ergonomics of robots handling, Safety management and management principles, Major
accident control, Safety Training, Robotics Safety Requirements.
104
(i) B.S. Dhillon, “Robot Reliability and Safety”, CRC Press, 2015.
(ii) Paolo Barattini et. al., “Human Robot Interaction: Safety, Standardization and
Benchmarking”, CRC Press, 2019.
(i) Nicholas Odrey, “Industrial Robotics -Technology, Programming and Applications”,

2017.
(ii) Mikell Groover, “Industrial Robotics, Tata McGraw Hill, 2008.
(iii) Tom Taulli, “The Robotic Process Automation Handbook: A Guide to Implementing RPA
Systems”, Springer India, 31 December 2021.
Course Outcomes:
● Understand the safety factors of robots.

● Know the safety standards in case of Robots.
● Understand the concept of how to do maintenance.
● Analyze and rectify the Human errors causing accidents.
*****
105
LC RAI-401 Sensors and Actuators Laboratory 0L:0T:2P 1 credit
Course Content:
● Robot Gripper design and considerations.

● Touch Sensors interfacing and feedback system.
● Manipulator kinematics analysis.
● Use of object detection and Image processing using Vision sensors in Robot system.
● Trajectory planning and analysis.
● Pick and place / path tracking using robot.
● Virtual lab experiments on Robot kinematics for Movemaster, PUMA 560 and KGP 50:
http://vlabs.iitkgp.ernet.in/mr/#
(i) D. Patranabis, Sensors and Transducers, PHI, 2nd Edition, 2013.

(ii) Jon S. Wilson, Sensor Technology Handbook, Elsevier, 2005.
(i) Mc Comb, G. Robot builder's bonanza. 5th edition New York: McGraw-Hill, 2019. ISBN
9781260135015.
(ii) Braünl, T. Embedded robotics: mobile robot design and applications with embedded
systems. 3rd ed. Berlin; Heidelberg: Springer, 2008. ISBN 9783540705338.
(iii) Martin, F.G. Robotic explorations: a hands-on introduction to engineering. Upper Saddle
River, N.J.: Prentice-Hall, 2001. ISBN 0130895687.
(iv) Gerard C., M. Meijer, Smart Sensors System, Wiley, 2008.
(v) Andrzej M. Pawlak, Sensors and Actuators in mechatronics, Taylor & Francis Group, 2007.
(vi) S. R. Ruocco, Robot Sensors & Transducers, Springer, 2013.
Course Outcomes:
● Design a gripper for different applications using design considerations.

● Learn working of touch sensors and their interfacing and feedback.
● Perform kinematic analysis.
● Perform trajectory planning.
● Detect the object and path tracing using vision sensor.
*****
106
LC RAI-402 Microcontrollers & its Applications 0L:0T:2P 1 credit

Laboratory
Detailed Content:
List of Practical: Based on 8051 and PIC microcontroller mini-cards/kits by downloading the
binary file in flash memory:
● Assignment exploiting the various addressing modes for accessing internal as well as
external memory and unconditional/conditional branch, loop control instructions.
● Stack and Stack arithmetic operations, Subroutines and parameter passing via register,
stack.
● Timers and its applications, PWM generation.
● Serial Communication.
● Interfacing – Push buttons LEDs Key Matrix Seven segment display LCD ADC/DAC
Stepper motor.
(i) Kenneth J. Ayala, “The 8051 Microcontroller Architecture, Programming &

Applications”, Penram International, 1991.
(ii) Raj Kamal, “Embedded Systems: Architecture, Programming and Design”, Tata
McGraw-Hill Education, 2008.
(i) M. A. Mazidi, J. G. Mazidi and R. D. McKinlay, “The 8051 Microcontroller and

Embedded Systems: Using Assembly and C”, Pearson Education, 2007.
(ii) K. J. Ayala, “8051 Microcontroller”, Delmar Cengage Learning, 2004.
(iii) R. Kamal, “Embedded System”, McGraw Hill Education, 2009.
(iv) R. S. Gaonkar, “Microprocessor Architecture: Programming and Applications with the
8085”, Penram International Publishing, 1996.
(v) D. A. Patterson and J. H. Hennessy, "Computer Organization and Design: The
Hardware/Software interface”, Morgan Kaufman Publishers, 2013.
(vi) D. V. Hall, “Microprocessors & Interfacing”, McGraw Hill Higher Education, 1991.
Course Outcomes:
At the end of laboratory course, the students will demonstrate the ability to:
● Understand and apply the fundamentals of assembly level programming of microprocessors

and microcontrollers.
● Work with microcontroller real time interfaces including GPIO, serial ports, digital-to-
analog converters and analog-to-digital converters.
● Analyze problems and apply a combination of hardware and software to address the
problem.
*****
107
LC RAI-403 Signals and Systems Laboratory 0L:0T:2P 1 credit
Detailed Content:
● List of experiments to be performed on Matlab.

● To find convolution of two sequences.
● To check linearity property of Fourier transform.
● To check whether the system y[n] = cos(x[n]) is time varying or time-invariant.
● To find Fourier transform of given sequence.
● To plot unit delta sequence, unit step sequence & unit ramp sequence.
● To study convolution property of Fourier transform.
● To study Discrete Fourier transform.
● To study inverse Discrete Fourier transform.
● To study time-shift property of Fourier transform.
(i) Michael J. Robert, “Introduction to Signals and Systems”, TMH, Second edition, 2003.
(ii) Tarun Kumar Rawat “Signals and Systems”, Oxford University Press, First edition,
2010.
(iii) Alan V Oppenhein, Alan S Wiilsky, “Signals and systems” PHI, Second edition, 2009.
(i) A. V. Oppenheim, A. S. Willsky and S. H. Nawab, “Signals and systems”, Prentice Hall
India, 1997.
(ii) S. Haykin and B. V. Veen, “Signals and Systems”, John Wiley and Sons, 2007.
(iii) A. V. Oppenheim and R. W. Schafer, “Discrete-Time Signal Processing”, Prentice Hall,
2009.
(iv) B. P. Lathi, “Linear Systems and Signals”, Oxford University Press, 2009.
(v) J. G. Proakis and D. G. Manolakis, “Digital Signal Processing: Principles, Algorithms,
and Applications”, Pearson, 2006.
(vi) H. P. Hsu, “Signals and systems”, Schaum’s series, McGraw Hill Education, 2010.
(vii) M. J. Robert “Fundamentals of Signals and Systems”, McGraw Hill Education, 2007.
Course Outcomes:
● Understand the concepts of ‘Signals and Systems’ by experimentation.

● Develop application based knowledge on theoretical concepts learned.
*****
108
PROJ RAI-401 Mini Project 0L:0T:4P 2 Credits
Guidelines:
● The mini-project is a team activity having 3-4 students in a team. Mini projects should
include mainly Mechanical Engineering but can be multi-disciplinary too.
● The mini project may be a complete hardware or a combination of hardware and software.
The software part in the mini project should be less than 50% of the total work.
● Mini Project should cater to a small system required in laboratory or real life.
● It should encompass components, devices etc. with which functional familiarity is
introduced.
● After interactions with course coordinator and based on comprehensive literature survey/
need analysis, the student shall identify the title and define the aim and objectives of the
mini-project.
● Students are expected to detail out specifications, methodology, resources required, critical
issues involved in design and implementation and submit the proposal within the first week
of the semester.
● The student is expected to exert on design, development and testing of the proposed work as
per the schedule.
● Completed mini project and documentation in the form of mini project report is to be
submitted at the end of semester.
Course Outcomes:
At the end of the course, students will demonstrate the ability to:
● Conceive a problem statement either from rigorous literature survey or from the
requirements raised from need analysis.
● Design, implement and test the prototype/algorithm in order to solve the conceived problem.
● Write a comprehensive report on mini project work.
*****
109
HSMC-401 Innovation and Creativity 1L:0T:0P 1 credit
Detailed Content:
● Introduction to concepts of creativity / invention / innovation and their importance in the

present knowledge world. Components of the creative process, Analogy/model to represent
the creative process.
● Understanding persons’ Creative potential. Blockages in practicing the creative process –
Mindset and belief systems. Myths and misconceptions about creativity.
● Practical Tips to discover and apply one’s creative potential, remove blockages, deal with
external factors. Importance of synergistically working in a team. Harnessing creativity from
nature.
● Idea conception, Idea Brainstorming sessions, Idea Evaluation, Protection/Patent review,
Principles of innovation, Review of systematic strategies and methods for innovation,
Innovation case study, Review of Idea/Prototype /Product and Market Plan.
● Applications Exercise / Assignment: at the end of the course, the student will create teams,
present their innovative ideas, and apply their learning in practice.
(i) Paul B. Paulus, Bernard A. Nijstad, The Oxford Handbook of Group Creativity and
Innovation, Oxford University Press, 2019.
(ii) Ashwini Kumar Singh, “Creativity & Innovation” , Notion Press, 9 March 2021.
(i) Jeff Dyer, Hal Gregersen, Clayton M. Christensen, " The Innovator's DNA: Mastering the
Five Skills of Disruptive Innovators, Harvard Business Review Press, 2011.
(ii) Paddy Miller, Thomas Wedell-Wedellsborg, "Innovation as Usual: How to Help Your
People Bring Great Ideas to Life, Harvard Business Review Press, 2013.
Course Outcomes:
● Understand creativity and innovation terminologies.

● Explore personal and organizational roadblocks in participating in the creative process.
● Apply practical tips to discover the innovative potential within the human being.
● Study frameworks, strategies, techniques for conceiving ideas.
● Develop new ways of thinking and Learn the entire innovation cycle.
● Understand different ways to protect innovation, basics on Patents and process.
● Apply techniques learnt in the course to articulate, refine and pitch a new product or service
project.
*****
110
111
SEMESTER – V
112
113
SEMESTER V
PCC RAI-501 Data Structures, Files and 2L:1T:0P 3 credits

Algorithms
Course Content:
Basic Terminologies: Elementary Data Organizations, Data Structure Operations: insertion,
deletion, traversal etc.; Analysis of an Algorithm, Asymptotic Notations, Time-Space trade off.
Searching-Linear Search and Binary Search Techniques and their complexity analysis.
Module 2: Stacks and Queues:

ADT Stack and its operations: Algorithms and their complexity analysis, Applications of Stacks:
Expression Conversion and evaluation – corresponding algorithms and complexity analysis. ADT
queue, Types of Queue: Simple Queue, Circular Queue, Priority Queue; Operations on each types of
Queues: Algorithms and their analysis.
Module 3: Linked Lists:

Singly linked lists: Representation in memory, Algorithms of several operations: Traversing,
Searching, Insertion into, Deletion from linked list; Linked representation of Stack and Queue,
Header nodes, Doubly Linked List: operations on it and algorithmic analysis; Circular Linked Lists:
all operations their algorithms and the complexity analysis.
Module 4: Trees:
Basic Tree Terminologies, Different types of Trees: Binary Tree, Threaded Binary Tree, Binary
Search Tree, AVL Tree; Tree operations on each of the trees and their algorithms with complexity
analysis. Applications of Binary Trees. B Tree, B+ Tree: definitions, algorithms and analysis.
Module 5: Sorting, Hashing and Graph:

Objective and properties of different sorting algorithms: Selection Sort, Bubble Sort, Insertion Sort,
Quick Sort, Merge Sort, Heap Sort; Performance and Comparison among all the methods, Hashing.
Basic Terminologies and Representations in graph, Graph search and traversal algorithms and
complexity analysis.
(i) Ellis Horowitz, Sartaj Sahni, “Fundamentals of Data Structures”, Computer Science
Press, 1988.
(ii) R. G. Dromey, “How to Solve it by Computer”, 2nd Impression, Pearson Education, 1982.
(i) Algorithms, Data Structures, and Problem Solving with C++”, Illustrated Edition by Mark
Allen Weiss, Addison-Wesley Publishing Company, 2014.
(ii) Alfrared V. Aho et.al., “Data Structures & Algorithms”, Pearson Education India, 2002.
(iii) Robert Sedgewick, “Algorithms”, 4th Edition, Pearson, 2019.
114
Course Outcomes:
● Analyze the algorithms to determine the time and computation complexity and justify the
correctness.
● Implement for a given Search problem (Linear Search and Binary Search).
● Implement for a given problem of Stacks, Queues and linked list it and Analyze the same to
determine the time and computation complexity.
● Write an algorithm Selection Sort, Bubble Sort, Insertion Sort.
● Quick Sort, Merge Sort, Heap Sort and compare their performance in terms of Space and
Time complexity.
● Implement Graph search and traversal algorithms and determine the time and computation
complexity.
*****
115
PCC RAI-502 Theory of Machines & Machine 3L:0T:0P 3 credits

Design
Course Content:
Module 1: Fundamentals of Kinematics and mechanisms:

Kinematic Link, Kinematic Pair, Kinematic chain, Structure, mechanism, machine, Types of
Constrained Motions, Degrees of Freedom, Grubler’s Criterion for Plane Mechanisms, Equivalent
linkage Mechanism, Inversions of Four BarChain, Single Slider Crank Chain, Double Slider Crank
Chain Difference between Spatial and Planar Mechanism. Pantograph, Straight Line Motion
mechanisms. Hooke’s Joint / Universal Joint.
Module 2: Velocity and Acceleration Analysis in Mechanisms:

Relative Velocity (Velocity polygon) for Kinematic link. Acceleration Diagram for a Link. Coriolis
component of Acceleration. Velocity and acceleration in a Slider Crank Mechanism by Klein’s
construction. Instantaneous Centre of Rotation (ICR). Angular Velocity Ratio Theorem, Methods of
Locating ICR in a Mechanism. Velocity analysis of a Kinematic Link by ICR Method, Body and
Space Centrode.
Module 3: Static and Dynamic Force Analysis:

Introduction, Static Equilibrium, Equilibrium of Two Force and Three-Force Members, Resultant
effect forces acting on a rigid body, D’ Alembert’s Principle, Equivalent Dynamic System,
Compound Pendulum, Bifilar and Trifilar suspension methods. Static and Dynamic Analysis of
inertia forces of Slider-Crank Mechanism by analytical and graphical method.
Module 4: Simple stresses and strains:

Concept of stress and strain linear, lateral, shear and volumetric, Hooke's law. Elastic constants and
their relationship. Thermal stresses, deflections Shear force and bending moment diagrams: UDL,
uniformly varying loads and couples. Relation between SF, BM and intensity of loading, construction
of SF, and BM diagrams for cantilevers, and simple beams. Theory of simple bending, Bending stress
distribution diagram. Moment of resistance and section modulus calculations. Theory of torsion,
torsional stresses and torsional deflections.
Module 5: Fundamental aspect of design:

Types of loads, static, shock, impact and fluctuating loads, types of stresses, tensile, compressive,
direct and torsional shear, bending stresses. Combined effect of direct, bending and torsional stresses.
Design concepts, material and process selection design process, factor of safety & design codes,
materials. Design of shafts and different types of levers based on torsional and lateral rigidity,
combined loadings. Design of keys, keyways and splines. Standard threads, stresses in threads,
preloaded fasteners in tension, joint stiffness factor, power screws.
Module 6: Introduction to Gears:

Classification, Terminology, Gear Characteristics, Gear Calculations, Gear Tooth Systems, Gear
Tooth Profiles, Gear Materials, Law of Gearing, Gear trains and its types, Calculation of velocity
ratio for different gear trains, Gear Trains with bevel gears: Differential Gear Box.
(i) R. S. Khurmi and J. K. Gupta, “A Text Book of Theory of Machines”, S. Chand, 14th
Revised Edition, 2005.
116
(ii) S.S. Ratan, “Theory of Machines”, Tata McGraw Hill Education Private Limited, 3rd
Edition, 2009.
(i) Ulicker Jr., J.J., Penock, G.R. and Shigley, J.E. “Theory of Machines and Mechanisms”,
Tata McGraw Hill Education Private Limited, 2009.
(ii) John Hannah and Stephens, R.C. “Mechanics of Machines: Advance Theory and
Examples” Edward Arnold London.
(iii) Ramamurthy, V. “Mechanics of Machines”, Narosa Publishing House, 2009.
(iv) Thomas Beven, “Theory of Machines”, Pearson Education Ltd, 3rd edition, 2017.
(v) Spotts M.F. – “Design of Machine Elements” – Prentice Hall International, 2019.
(vi) Black P.H. and O. Eugene Adams – “Machine Design” – McGraw Hill Book Co. Ltd.
(vii) “Design Data” – P.S.G. College of Technology, Coimbatore, 2020.
(viii) Hall A.S.; Holowenko A.R. and Laughlin H.G. – “Theory and Problems of Machine
Design” – Schaum’s outline series.
(ix) Shigley J.E. and Mischke C.R. – “Mechanical Engineering Design” McGraw Hill Publ.
Co. Ltd.
Course Outcomes:
● Draw velocity and acceleration diagrams for simple and complex mechanisms.
● Use graphical and analytical methods for solving problems in static and dynamic force
analysis.
● Apply basic concepts and theory regarding friction, lubrication, belt, rope and chain drives.
● Evaluate the different types of stresses induced in a component due to different types of
static loading conditions.
● Apply the principles of static loading to design couplings, screws, springs and welded
joints.
● Apply balancing concept to various types of rotating and reciprocating machine element.
*****
117
PCC RAI-503 Industrial Electronics and Power 3L:0T:0P 3 credits

Convertors
Detailed Content:
Module 1: Conventional DC and AC Traction:

Electric traction services, Nature of traction load, Coefficient of adhesion, Load sharing between
traction motors, Main line and suburban train configurations, Calculation of traction drive rating and
energy consumption. Important features of traction drives, Conventional DC and AC traction drives,
Diesel electric traction.
Module 2: Switched Mode Power Supplies (SMPS):

DC Power supplies and Classification; Switched mode dc power supplies - with and without
isolation, single and multiple outputs; Closed loop control and regulation; Design examples on
converter and closed loop performance.
Module 3: AC-DC Converters:

Switched mode AC-DC converters. synchronous rectification - single and three phase topologies -
switching techniques - high input power factor. reduced input current harmonic distortion. improved
efficiency. with and without input-output isolation. performance indices design examples.
Module 4: DC-AC Converters:

Multi-level Inversion - concept, classification of multilevel inverters, Principle of operation, main
features and analysis of Diode clamped, flying capacitor and cascaded multilevel inverters;
Modulation schemes.
Module 5: AC-AC Converters:

Matrix converters. Basic topology of matrix converter; Commutation – current path; Modulation
techniques - scalar modulation, indirect modulation; Matrix converter as only AC-DC converter; AC-
AC converter with DC link - topologies and operation - with and without resonance link - converter
with dc link converter; Performance comparison with matrix converter with DC link converters.
Module 6: Soft-Switching Power Converters:

Soft switching techniques. ZVS, ZCS, quasi resonant operation; Performance comparison hard
switched and soft switched converters.AC-DC converter, DC-DC converter, DC-AC converter.;
Resonant DC power supplies.
(i) Paul, B., Industrial Electronic and Control, Prentice Hall of India Private Limited 2004.
(ii) Narayanswami Iyer, “Power Electronic Converters”, CRC Press, 2018.
(i) Power Electronics Handbook, M.H. Rashid, Academic press, New York, 2000.
(ii) Advanced DC/DC Converters, Fang Lin Luo and Fang Lin Luo, CRC Press, New York,
2004.
(iii) Control in Power Electronics- Selected Problem, Marian P. Kazmierkowski, R. Krishnan
and Frede Blaabjerg, Academic Press (Elsevier Science), 2002.
118
Course Outcomes:
● Simulate and analyze the semiconductor controlled ac and DC drive system.

● Equip the skill to design and develop a regulated power supply.
● Suggest converters for AC-DC conversion and SMPS.
*******
119
PCC RAI-504 Advances in Robotics and Artificial 2L:1T:0P 3 credits

Intelligence
Course Content:
Module 1: Humanoid Robotics Technology and Social Robots:

Sensors in Humanoid Robot, Control of Humanoid Robot, actuation types for humanoid Robot,
System Integration in Humanoid Robot, Social Robot, Need of Social Robots, Assistive and Social
Robots in the Healthcare Sector and other, Case study On Humanoid Robot.
Module 2: Swarm Robotics:

Characteristics, Swarm Robotics and Multi-Robotic Systems, Experimental Platforms in Swarm
Robotics, Tasks in Swarm Robotics, Swarm Robots used in Real world applications, Smart Robots,
Smart Robots applications, Robotics for Warfare Applications.
Module 3: Human Robot Interaction (HRI):

Definition, History, Need of HRI, Ethical Issues for HRI, Multi-Modal Perception, Social, Service,
and Assistive Robotics, HRI Architecture, Collaborative Robots, Definition, Types of Collaboration,
Applications of collaborative robots, collaborative Robot Technology.
Module 4: Industry 4.0 and Internet of Robotic things (IORT):

Introduction, Internet of Things and Robotics, Applications and developments of the Internet of
Robotic Things.
Module 5: Natural Language Processing:

Introduction, Classical Approaches to Natural Language Processing, Text Preprocessing, Lexical
Analysis, Syntactic Parsing, Semantic Analysis, Natural Language Generation, Applications.
Module 6: Logics for AI and Automated Reasoning:

What is Automated Reasoning, methods of Reasoning, reasoning types, use of Automated reasoning
in AI, Reasoning and its types, applications for Automated Reasoning, Mathematical consideration.
(i) Luger " Artificial Intelligence", Edition 5, Pearson, 2008.

(ii) Ralf Herbrick, Thore Graepel, “A Handbook on Natural Language Processing”, Second
Edition, CRC Press, 2010.
(i) Elmer P. Dadios, “Humanoid Robot: Design and Fuzzy Logic Control Technique for Its
Intelligent Behaviors”, 2012.
(ii) Iñaki Navarro and Fernando Matía, “An Introduction to Swarm Robotics”, ISRN
Robotics, 2013.
(iii) Automation and Collaborative Robotics, Springer Publication, 2020.
(iv) Jeff Faneuff, Jonathan Follett, “Designing for collaborative robotics”, O'Reilly Media,
2016.
(v) David Feil-Seifer, “Human-Robot Interaction”, 2010.
(vi) Maria Paola Bonacina, “Automated Reasoning for Explainable Artificial Intelligence”,
2018.
120
(vii) David Gunning, “Explainable Artificial Intelligence (XAI)”, 2017.

(viii) Conference Proceedings on “Artificial Intelligence, Automated Reasoning, and Symbolic
Computation”, Springer Publication, 2002.
Course Outcomes:
At the end of this course, the students will able to:

● Understand the technologies used in advanced robots.
● Understand the technology used in Natural Language processing.
● Study NLP techniques and understand its utility in industrial applications.
● Apply automated reasoning in AI based programming.
*******
121
PCC RAI-505 Control Systems 2L:0T:0P 2 credits
Course Content:
Module 1: Introduction to Control System:

Introduction to control system block diagram. Importance of Control Systems. Components of
control. Explanation with the help of the liquid level control system. Significance of actuators and
sensors. Types of actuators, Types of sensors. Open loop control and closed loop control. Use of
relays, switches and contactors for simple and sequential control systems.
Module 2: Control system representation:

Mathematical representation of simple mechanical, electrical, thermal, hydraulic systems. Block
diagram representation and reduction. Signal flow graph. Transfer function of these systems. Pole
zero concepts.
Module 3: Time domain analysis:

Time response of first order, second order systems. Analysis of steady state error, Type of system
and steady state error, Time response specifications. Effect of parameter variation on open loop and
closed loop system response, sensitivity. Effect of feedback on system response, stability and
disturbance.
Module 4: Stability:
Concept of stability, Effect of pole zero location on stability, Routh- Hurwitz criterion. Root Locus
method for analysis of gain margin, phase margin and stability.
Module 5: Control system analysis in frequency domain:

Concept of frequency domain behavior, Bode Plot for analyzing systems in frequency domain.
Frequency domain performance specifications. Correlation between time domain and frequency
domain specification. Nyquist Analysis.
Module 6: State Space Approach:

Representation of system in state space, Converting transfer function model into state space model.
Non uniqueness of state space model, Canonical representation, Eigenvalues, Solution of state
equations, Concept of State feedback control, controllability, Observability.
(i) Nagrath & M. Gopal “Control System Engineering”, Anshan, 2008.

(ii) Norman S. Nice, “Control System Engineering”, Wiley, 2008.
(i) Smarajit Ghosh, “Control Systems Theory & Applications”, Pearson Education, 2007.
(ii) Katsuhiko Ogata,” Modern Control Engineering”, Prentice Hall, 2010.
(iii) Norman S. Nise, “Control System Engineering”, Wiley, 2014.
122
Course Outcomes:
● Appreciate the role of the control system.

● Analyze the mathematical model of the control system.
● Solve to get a time domain response.
● Analyze stability of the system.
● Use bode plot for frequency domain analysis.
● Analyze the control system in state space.
*******
123
PCC RAI-506 Hydraulic & Pneumatic Drives for 2L:0T:2P 3 credits

Robots
Pre-Requisites Basic Fluid Mechanics and Electrical Engineering
Detailed Course Content:
Robot Actuation, Robotic Grippers, Characteristics of Actuating Systems, Comparison of Actuating
Systems.
Module 2: Fluid Power Systems:

Introduction of Fluid Power Systems, Properties of Fluids and Selection, Pascal’s Law and Pressure
Measurement, Fluid Flow and Measurement, Gas Laws.
Module 3: Control Valves:

Fluid power control elements and standard graphical symbols, Directional, Pressure and Flow
Control Valves – Construction and Working, Rotary Valves, Pilot-Operated Valves Servo-valves.
Module 4: Hydraulic and Pneumatic Power Supplies:

Hydraulic Power Packs, Hydraulic Loading Valve and Filters, Air Compressors & Receivers, Air
Treatment and FRL Units, Pressure Regulation in Fluid Power Circuits.
Module 5: Fluid Power Actuators:

Linear actuators and their Construction, Rotary actuators and their Construction, Mounting
Arrangements, Cylinder Dynamics, Speed Control.
Module 6: Fluid Power Circuits & Control:

Control of Single and Double Acting Hydraulic Cylinders, Control of Single and Double Acting
Pneumatic Cylinders, Electrical Controls for Fluid Power Circuits, Electro-hydraulic and Electro-
Pneumatic Circuits, Examples of Fluid Power Circuits in Robotics.
(i) Saeed B. Niku, “Introduction to Robotics – Analysis, Control, Applications”, Wiley India
Pvt. Ltd., 2010.
(ii) R. Mittal, Nagrath, “Robotics and Control”, McGraw Hill Education, 2017.
(i) Hydraulics and Pneumatics, Jagadeesha T; I. K. International Publishing House Pvt. Ltd.,
2015.
(ii) Hydraulics and Pneumatics, Andrew Parr; Jaico Books, 1993.
124
Course Outcomes:
● Select a fluid power actuation system for a given robotic application.

● Select components for designing a fluid power circuit.
● Assemble and operate a fluid power actuation system.
● Design fluid power actuation system for robotic application.
*******
125
LC RAI-501 Control Systems Laboratory 0L:0T:2P 1 credit
Experiments:
● To study input out characteristic of various control system components.
● To obtain step response and find time response specification of electrical system, hydraulic
system, pneumatic system and thermal system.
● To obtain transfer function and poles zeros of DC motor experimentally.
● To obtain root locus experimentally.
● Use Matlab to study the effect of feedback gain on system response.
● Use Matlab to study the effect of damping factor zeta on time control performance
specifications.
● Use Matlab to obtain root locus for a given system and find performance specifications
there from. Study effect of addition of zero and pole on root locus.
● Use Matlab to get a bode plot and obtain gain margin and phase margin for various systems.
● Use Matlab to obtain state space representation from transfer function, find Eigenvalues,
Analyze controllability, observability and stability.
(i) Nagrath & M. Gopal “Control System Engineering”, Anshan, 2008.

(ii) Norman S. Nice, “Control System Engineering”, Wiley, 2008.
(i) Smarajit Ghosh, “Control Systems Theory & Applications”, Pearson Education 2007.
(ii) Katsuhiko Ogata,” Modern Control Engineering”, Prentice Hall, 2010.
(iii) Norman S. Nise, “Control System Engineering”, Wiley, 2014.
Course Outcomes:
● Develop the mathematical model of different components of linear feedback control system
using simulation and experiments.
● Analyze the transient characteristics of different first order and second order systems using
simulation and experiments.
● Determine the performance of system using root locus.
● Carry out the stability analysis of linear feedback control system using Bode plot and
Nyquist plot.
● Carry out the stability analysis of linear feedback control system using Modern control
techniques.
● Analyze the different types of controllers like PI, PD, PID and tuning of these controllers
using simulation and experiments.
● Describe various applications like temperature controller experimentally.
● Demonstrate an industrial application (like Bottle filling/ Pick and Place control) using PLC
Write and present effective technical reports.
*******
126
127
LC RAI-502 Industrial Electronics Laboratory 0L:0T:2P 1 credit
Detailed Content:
● Study of CRO and its applications-measurement of frequency, phase difference, voltage,

vibration signals, temperature measurement using thermocouple etc. Instruments: 20 MHz
dual trace CRO, Function-generator.
● Study of UPS systems Instruments: UPS kit, CRO, DMM.
Or
● Controlled rectifiers using SCR with UJT triggering for Lamp load. Instruments: Power-
Scope, DMM.
● Applications of Op-Amp using 741 (Any two) Square wave generators/ramp generator
Instrumentation Amplifier.
● Op-Amp as comparator and Schmidt trigger.
● Instruments: Dual trace CRO, Dual Power supply. Function Generator.
● Sequential timer using IC555 and square wave generator Instruments: Power supply, Dual
trace CRO, stop-watch.
● Application of logic gates (One-bit Comparator) and combinational circuits, e.g. traffic lights,
combinational lock lift, control, code conversion.
● PLC Programming.
● Shift register IC7495 and its application as a sequence generator.
Or
● Programmable counter (frequency and time measurement).
● Instruments for digital experiments: Power supply, dual trace CRO, Pulse generator, DMM.
● Minimum two circuits of level detector, proximity detector, electronic weighing machine,
non- contact type, Tachometer Annunciator.
Or
● Study and demonstration of resistance welding, R.F. Heating.
(i) Paul, B., Industrial Electronic and Control, Prentice Hall of India Private Limited, 2004.
(ii) Narayanswami Iyer, “Power Electronic Converters”, CRC Press, 2018.
(i) Power Electronics Handbook, M.H. Rashid, Academic press, New York, 2000.
(ii) Advanced DC/DC Converters, Fang Lin Luo and Fang Lin Luo, CRC Press, New York,
2004.
(iii) Control in Power Electronics- Selected Problem, Marian P. Kazmierkowski, R. Krishnan
and Frede Blaabjerg, Academic Press (Elsevier Science), 2002.
128
Course Outcomes:
At the end of the laboratory work, the students will demonstrate the ability to:
● Perform basic Electrical Machines experiments and evaluate their suitability for a
specified job from their electrical and mechanical characteristics.
● Get hands-on experience in using op amps and timer circuits in industrial electronics
experiments.
● Predict, analyze, and test the performance of sensors of various kinds, including strain
gages, thermocouples, tachometers, displacement transducers, dynamometers, pressure
gages and transducers, Flow meters etc. Understand working of fully controlled half wave
rectifier and circuits using triacs.
*******
129
LC RAI-503 Artificial Intelligence Laboratory 0L:0T:2P 1 credit
Suggested List of Assignments
● Implement A* algorithm.
● Implement AO* algorithm.
● Implementation of other Searching algorithms.
● Implementation of Min/MAX search procedure for game Playing.
● Implementation of variants of Min/ Max search procedure.
● Implementation of a mini Project using the concepts studied in the AI course.
This list is a guideline. The instructor is expected to improve it continuously.
(i) Luger "Artificial Intelligence", Edition 5, Pearson, 2008.

(ii) Michael Negnevitsky, “Artificial Intelligence: A Guide to Intelligent Systems”, Addison-
Wesley, May 2011.
(i) Russell, Stuart and Norvig, Peter, “Artificial Intelligence: A Modern Approach" Prentice
Hall, 2003.
(ii) Bench-Capon, T. J. M., “Knowledge Representation: An approach to artificial
intelligence”, Academic Press, 1990.
(iii) Mohamad H. Hassoun, “Fundamentals of Artificial Neural Networks”, The MIT Press,
1995.
Course Outcomes:
Upon successful completion of the course, the students will be able to:
● Develop an Explanation of what is involved in learning models from data.

● Implement a wide variety of learning algorithms.
● Apply principles and algorithms to evaluate models generated from data.
● Apply the algorithms to a real-world problem.
*******
130
LC RAI-504 Hydraulic & Pneumatic Drives 0L:0T:2P 1 credit

Laboratory
PRACTICE TASKS
● To study components and functioning of a hydraulic power pack.

● To study components and functioning of a pneumatic fluid power supply.
● To study different types of DC control valves and actuators in hydraulic fluid power systems.
● To study different types of DC control valves and actuators in pneumatic fluid power systems.
● To study the working of speed and pressure control valves in fluid power circuits.
● To study a pneumatic logic circuit using a pilot operated DC valve.
● To operate a linear hydraulic actuator using 4/2 and 4/3 DC valves.
● To operate rotary pneumatic or hydraulic motors using two and three position DC valves.
● To operate single acting and double acting linear pneumatic actuators using 3/2 and 5/2 DC
electro pneumatic valves respectively.
● To study the application of fluid power circuits in robots.
Pvt. Ltd., 2010.
(ii) R. Mittal, Nagrath, “Robotics and Control”, McGraw Hill Education, 2017.
(i) Hydraulics and Pneumatics, Jagadeesha T; I. K. International Publishing House Pvt. Ltd.,
2015.
(ii) Hydraulics and Pneumatics, Andrew Parr; Jaico Books, 1993.
Course Outcomes:
After the completion of this Lab, the students will be able to:
● Select a suitable DC control valve.
● Select a suitable actuator for a given robotic application.
● Understand the functioning of different valves, actuators and fluid power circuits.
● Design fluid power actuation system for robotic application.
*******
131
LC RAI-505 Theory of Machines & Mechanism 0L:0T:2P 1 credit

Laboratory
Detailed Content:
List of Experiments (Any 3 experiments from the given list):
● Determination of Moment of Inertia of rigid bodies by bifilar or trifilar suspension method.

● Compound Pendulum.
● Experimental Verification of displacement relation for different shaft angles for single
Hooke's Joint.
● Developing a computer program for velocity and acceleration of the slider crank
mechanism.
● Graphical solution of problems on velocity & acceleration in mechanisms by Relative
velocity & relative acceleration method including problem with Coriolis component of
acceleration.
● Graphical solution of problems on velocity in mechanisms by ICR method.
● Klein’s constructions for the slider crank mechanism.
● Inertia force analysis with graphical methods.
● Straight line motion mechanisms.
(i) R. S. Khurmi and J. K. Gupta, “A Text Book of Theory of Machines”, S. Chand, 14th
Revised Edition, 2005.
(ii) S.S. Ratan, “Theory of Machines”, Tata McGraw Hill Education Private Limited, 3rd
Edition, 2009.
(i) Ulicker Jr., J.J., Penock, G.R. and Shigley, J.E. “Theory of Machines and Mechanisms”,
Tata McGraw Hill Education Private Limited, 2009.
(ii) John Hannah and Stephens, R.C. “Mechanics of Machines: Advance Theory and
Examples” Edward Arnold London.
(iii) Ramamurthy, V. “Mechanics of Machines”, Narosa Publishing House, 2009.
(iv) Thomas Beven, “Theory of Machines”, Pearson Education Ltd, 3rd edition, 2017.
(v) Spotts M.F. – “Design of Machine Elements” – Prentice Hall International, 2019.
(vi) Black P.H. and O. Eugene Adams – “Machine Design” – McGraw Hill Book Co. Ltd.
(vii) “Design Data” – P.S.G. College of Technology, Coimbatore, 2020.
Course Outcomes:
At the end of the laboratory work, students will demonstrate the ability to:
● Determine Moment of Inertia of rigid bodies by bifilar or trifilar suspension method.
● Verify displacement relation for different shaft angles for single Hooke's Joint.
132
● Develop a computer program for velocity and acceleration of slider crank mechanism Non-
destructive tests like Magnaflux testing, Dye penetrant test and Ultrasonic test.
● Graphical solution to problems on velocity & acceleration in mechanisms by Relative
velocity & relative acceleration method including problem with Coriolis component of
acceleration.
● Analyzing Inertia force with graphical methods.
*******
133
SEMESTER – VI
134
135
SEMESTER VI
PCC RAI-601 Kinematics of Robotics 3L:0T:0P 3 credits
Pre-Requisites Basic Engineering Mathematics Engineering Mechanics
Course Content:
Module 1: Introduction
Vector Representations and Operations, Transformations, Translational and Rotational, Coordinate
Reference Frames, Properties of Transformation Matrices, Matrix Creation and Manipulation using
MATLAB.
Module 2: Homogeneous Transformations

Pure Translation, Pure Rotation about an Axis, Representation of Combined Transformations,
Transformations Relative to a Moving Frame, Homogeneous Transformations using MATLAB.
Module 3: Kinematics:
Kinematic Parameters, The Denavit-Harternberg (DH) Representation, Forward & Inverse
Kinematic Equations: Position, Cartesian Coordinates, Cylindrical Coordinates, Spherical
Coordinates, Articulated Coordinates, Kinematics of Industrial Robots, Kinematics using MATLAB.
Module 4: Forward & Inverse Kinematic:

Orientation Description, Forward & Inverse Kinematic Equations Orientation, Roll, Pitch and Yaw
(RPY) Angles, Euler Angles, Geometric Approach to Inverse Kinematics, Forward and Inverse
Kinematics of Industrial Robots, Design Project: A 3-DOF Robot.
Module 4: Velocity & Acceleration Analysis:

Differential Motions and Relationships, Jacobian, Forward and Inverse Velocity Analysis,
Acceleration Analysis, Design Project: A 3-DOF Robot.
Suggested Text Books
(i) S. K. Saha, “Introduction to Robotics”, McGraw Hill Education (India) Pvt. Ltd., 2014.
(ii) John J. Craig, “Introduction to Robotics – Mechanics and Control”, Pearson Education,
2004.
Suggested Text Books
Pvt. Ltd., 2010.
(ii) Reza N. Jazar, “Theory of Applied Robotics: Kinematics, Dynamics, and Control”,
Springer July 2010.
(iii) Tuna Balkan, “Robot Kinematics: Forward and Inverse Kinematics”, Intech, Dec. 2006.
136
Course Outcomes:
● Explain position and orientation parameters for describing the pose of industrial robots.
● Apply mathematical tools for solving robot kinematics problems.
● Assign the coordinate frames to industrial robots and derive their forward and inverse
kinematic equations.
● Use software tools for obtaining solutions to forward and inverse kinematics problems.
******
137
PCC RAI-602 Embedded Systems Design 3L:0T:0P 3 credits
Course Content:
Module 1: ARM-Cortex Series Architecture:

Embedded systems, classification, ARM 32-bit microcontroller Tiva, architecture technology
overview, Architectural Features of ARM Cortex M series: Tiva Block Diagram, CPU modes,
register organization, ROM, RAM, timers, data and address bus, Memory and I/O interfacing
concepts, memory mapped I/O. CISC Vs RISC design philosophy, Von-Neumann Vs Harvard
architecture, instruction set, pipelining, exceptions and its handling, memory, I/O’s and addressing
modes.
Module 2: Operating system based development:

Operating systems fundamentals, operating system services, memory management, process
management, device management, file management, operating system services- program execution,
I/O operation, file manipulation, communication, operating system properties- multitasking, parallel
programming, interactivity, scheduling and scheduling algorithms. Linux: An overview of Red Hat
Linux, installing Ubuntu, Linux commands, shell scrip programming, embedded Linux.
Module 3: Development Tools (Open Source):

GNU tools, text editors-vi, nano, pico, etc. IDE-Eclipse, code lite, compilers-gcc, g++, debuggers,
cross- compilers, gcc- arm specific tool chains and in line assembly, Writing and compiling C/C++
programs, cross-compilation for ARM development board, Basics of make file, static and dynamic
libraries.
Module 4: Kernel programming:

Kernel, basic functionalities of kernel, kernel module programming, Linux kernel sources, kernel
configuration, booting kernel, kernel booting parameters, root file system, bootloader, U- boot,
porting Linux ARM board, device driver programming, architecture, I/O communication, writing
simple character device driver.
Module 5: RTOS:
RTOS concepts using Tiva: foreground and background systems, critical section, shared resources,
tasks, multitasking, context switching, kernels, pre-emptive and non- pre-emptive schedulers, static
and dynamic priorities, priority inversion, mutual exclusion, synchronization, inter task
communication mechanisms, Interrupts: latency, response and recovery, clock tick, memory
requirements.
Module 6: Interfacing and application development

Interfacing of peripherals using Tiva: LED and sensors, ADC, Timer, PWM, UART, SPI,
I2C.Development of web server, wireless module interfacing, camera interfacing, open CV on
Beagle Bone Black. Control application, Java programming on Beagle Bone Black, porting android
for mobile applications like controlling Beagle Bone Black I/O through mobile.
(i) Sloss Andrew N, Symes Dominic, Wright Chris, “ARM System Developer's Guide:
Designing and Optimizing”, Morgan Kaufman Publication, 2004.
138
(ii) Michael Beck, “Linux Kernel Programming”, Addison-Wesley Professional, 3rd ed.,
2002.
(i) Raj Kamal, “Embedded Systems – Architecture: Programming and Design”, Tata McGraw-
Hill Education, 3rd edition, 2003.
(ii) Embedded Systems: Real-Time Interfacing to ARM Cortex-M Microcontrollers, 2014,
Jonathan W Valvano Create space publications ISBN: 978-1463590154.
(iii) Embedded Systems: Introduction to ARM Cortex - M Microcontrollers, 5th edition Jonathan
W Valvano, Create space publications ISBN-13: 978-1477508992.
Course Outcomes:
● Hands on usage of IDE of processors and algorithm development.

● To understand the concept of OS, RTOS and application perspectives.
● Understanding of RISC architecture of processor, its features and application.
● Study, design, analyze and prototype various embedded systems.
******
139
PCC RAI-603 Data Science 2L:1T:0P 3 credits
Pre-Requisites Probability, Statistics
Module 1: Introduction to Data Science

Introduction to Data Science – Applications - Data Science Process – Exploratory Data analysis –
Collection of data, Graphical presentation of data – Classification of data – Storage and retrieval of
data – Big data – Challenges of Conventional Systems - Web Data – Evolution Of Analytic
Scalability - Analytic Processes and Tools - Analysis vs Reporting - Modern Data Analytic Tools -
Statistical Concepts: Sampling Distributions - Re-Sampling - Statistical Inference - Prediction Error.
Module 2: Predictive Modeling and Machine Learning

Linear Regression – Polynomial Regression – Multivariate Regression – Multilevel Models – Data
Warehousing Overview – Bias/Variance Trade Off – K Fold Cross Validation – Data Cleaning and
Normalization – Cleaning Web Log Data – Normalizing Numerical Data – Detecting Outliers –
Introduction to Supervised and Unsupervised Learning – Reinforcement Learning – Dealing with
Real World Data – Machine Learning Algorithms -Clustering -Python Based Application.
Module 3: Data Mining Techniques

Rule Induction - Neural Networks: Learning and Generalization - Competitive Learning - Principal
Component Analysis and Neural Networks - Fuzzy Logic: Extracting Fuzzy Models from Data -
Fuzzy Decision Trees - Stochastic Search Methods- Neuro-Fuzzy Modeling – Association rule
mining – Clustering – Outlier Analysis – Sequential Pattern Mining – Temporal mining – Spatial
mining – Web min.
Module 4: Frameworks and Visualization

Map Reduce – Hadoop, Hive, MapR – Sharding – NoSQL Databases – Cloud databases - S3 -
Hadoop Distributed File Systems – Visualizations - Visual Data Analysis Techniques - Interaction
Techniques – Social Network Analysis – Collective Inferencing – Egonets - Systems and
Applications.
Module 5: Data Science Using Python

Introduction to Essential Data Science Packages: Numpy, Scipy, Jupyter, Statsmodels and Pandas
Package – Data Munging: Introduction to Data Munging, Data Pipeline and Machine Learning in
Python – Data Visualization Using Matplotlib – Interactive Visualization with Advanced Data
Learning Representation in Python.

(i) Seema Acharya, Subhashini Chellapan, “Big Data and Analytics”, Wiley, 2015.
(ii) Frank Pane, “Hands On Data Science and Python Machine Learning”, Packt Publishers,
2017.
(iii) S. N. Sivanandam, S. N Deepa, “Introduction to Neural Networks Using Matlab 6.0”, Tata
McGraw- Hill Education, 2006.
140
(i) Michael Berthold, David J. Hand, “Intelligent Data Analysis”, Springer, 2007.
(ii) Anand Rajaraman and Jeffrey David Ullman, “Mining of Massive Datasets”, Cambridge
University Press, 2012.
(iii) Bill Franks, “Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data
Streams with Advanced Analytics”, John Wiley & Sons, 2012.
(iv) Jiawei Han, Micheline Kamber “Data Mining Concepts and Techniques”, Second Edition,
Elsevier, Reprinted 2008.
(v) Rachel Schutt, Cathy O'Neil, “Doing Data Science”, O'Reilly Publishers, 2013.
(vi) Foster Provost, Tom Fawcet, “Data Science for Business”, O'Reilly Publishers, 2013.
(vii) Bart Baesens, “Analytics in a Big Data World: The Essential Guide to Data Science and
its Applications”, Wiley Publishers, 2014.
Course Outcomes:
At the end of this course, students will demonstrate the ability to:
● Work with a data science platform and its analysis techniques.

● Design efficient algorithms for mining the data from large volumes.
● Model a framework for Human Activity Recognition.
● Development with cloud databases.
******
141
PCC RAI-604 Dynamics and Trajectory Planning 2L:0T:0P 2 credits
Pre-Requisites Robot Kinematics and Basic Engineering Mathematics
Module 1: Statics and Manipulator Design

Forces and Moments Balance, Equivalent Joint Torques, Role of Jacobian in Statics, Manipulator
Design.
Module 2: Dynamics
Inertia Properties, Euler-Lagrange Formulation, Newton-Euler Formulation, Recursive Newton-
Euler Algorithm, Dynamic Algorithms.
Module 3: Robot Configuration Space

Specifying a Robot's Configuration, Obstacles and the Configuration Space, The Dimension of the
Configuration Space, The Topology of the Configuration Space, Example Configuration Spaces,
Transforming Configuration and Velocity Representations.
Module 4: Trajectory Planning

Path and Trajectory, Basics of Trajectory Planning, Joint Space Trajectory Planning, Cartesian
Space Trajectory Planning, Point-to-Point vs Continuous Path Planning.
Module 5: Motion Control System

Open and Closed Loop Control, Laplace Transforms and Transfer Function, Characteristics of
Dynamic Systems, Proportional-Integral-Derivative Controllers, State-Space Control, Digital
Control, Robot Actuation and Control.
(i) Saeed B. Niku, “Introduction to Robotics – Analysis, Control, Applications”, Wiley

India Pvt. Ltd., 2010.
(ii) S. K. Saha, “Introduction to Robotics”, McGraw Hill Education (India) Pvt. Ltd., 2014.
(i) Choset, Lynch, Hutchinson, Kantor, Burgard, Kavraki and Thrun, “Principle of Robot
Motion”, PHI Learning Pvt. Ltd., 2005.
(ii) K Fujimura , “Motion Planning in Dynamic Environments”,Springer-Verlag, 2012.
(iii) Wayne Adams, “Robot Kinematics & Motion Planning”, Nova Science Publishers Inc.,
Nov. 2012.
142
Course Outcomes:
● Formulate dynamic models of industrial robots.

● Formulate robot motion planning models using different schemes.
● Understand the theory and components of open and closed loop control systems.
● Understand different types of robot motion control approaches.
******
143
PCC RAI-606 Knowledge Engineering and Expert System 2L:0T:0P 2 credits
Module 1:
Introduction, the history of knowledge-based expert systems, Characteristics of current expert
systems, Basic concepts for building expert systems.
Module 2:
Building and Expert System, the architecture of expert systems, constructing an expert system,
including computer inference and knowledge acquisition.
Module 3:
Knowledge representation schemes; conceptual data analysis; plausible reasoning techniques, Tools
for building expert systems.
Module 4:
Evaluating an Expert System, Reasoning about reasoning, validation and measurement methods.
Module 5:
Production-rule programming, Issues and case studies, Language and Tools for Knowledge
Engineering.
Module 6: A Case Study in Knowledge Engineering.

(i) Davis, R. & Lenat, D. B., “Knowledge-Based Systems in Artificial Intelligence”,
McGraw-Hill, 1989.
(ii) Hayes-Roth, F., Waterman, D. A. & Lenat, D. B. (eds) Building Expert Systems. Addison-
Wesley Publishing Company, Inc., 1984.

(i) Buchanan, B. B. & Shortliffe, E. H., “Building Expert Systems with Production Rules:
The Mycin Experiments”, Wesley Publishing Company, 1983.
(ii) Torsun, I. S. Expert Systems: State of the Art, Addison-Wesley Publishing Company,
1983.
Course Outcomes:
At the end of the course the students will be able to:
● Explain and describe the concepts central to the creation of knowledge bases and expert
systems.
● Use the tools and the processes for the creation of an expert system.
● Conduct an in-depth examination of an existing expert system with an emphasis on basic
methods of creating a knowledge base.
● Examine properties of existing systems in a case-study manner, comparing differing
Approaches.
● Demonstrate proficiency developing applications in expert system shell.
******
144
PCC RAI-605 Robot Operating Systems 1L:0T:2P 2 credits
Laboratory Experiments:
1. Endowing mobile autonomous robots with planning, perception, and decision- making
capabilities.
2. Trajectory optimization.
3. Robot motion planning and perception.
4. Robot, localization, and simultaneous localization and mapping.
5. Robot Operating System (ROS) for demonstrations and hands-on activities.
(i) Morgan Quigley, “Programming Robots with ROS: A Practical Introduction to the Robot
Operating System” , O'Reilly Media, 2015.
(ii) Carol Fairchild, Dr. Thomas L. Harman, “ROS Robotics by Example”, Packt, 2016.
(i) Anis Koubaa, “Robot Operating System”, Springer link, 2016.

(ii) Anil Mahtani, “Effective Robotics Programming with ROS”, Packt Publishing, 2016.
(iii) Ramkumar Gandhinathan , Lentin Joseph , “ ROS Robotics Projects: Build and control
robots powered by the Robot Operating System, machine learning, and virtual reality”,
Packt Publishing Limited, December 2019.
Course Outcomes:
● Learn fundamentals, including key ROS concepts, tools, and patterns.

● Program robots that perform an increasingly complex set of behaviors, using the
powerful packages in ROS.
● See how to easily add perception and navigation abilities to your robots.
● Integrate your own sensors, actuators, software libraries, and even a whole robot into the
ROS ecosystem.
● Learn tips and tricks for using ROS tools and community resources, debugging robot
behavior using C++ in ROS.
******
145
PEC RAI-601 Elective Course-I Mobile and Micro-Robotics 2L:0T:0P 2 credits

(Tract: Robotics)

Module 1:
Introduction to Mobile Robots - Tasks of mobile robots, robots manufacturers, type of obstacles and
challenges, tele-robotics, philosophy of robotics, service robotics, types of environment
representation. Ground Robots: Wheeled and Legged Robots, Aerial Robots, Underwater Robots and
Surface Robots.
Module 2:
Kinematics and Dynamics of Wheeled Mobile Robots (two, three, four - wheeled robots, omni-
directional and macanum wheeled robots). Sensors for localization: magnetic and optic position
sensor, gyroscope, accelerometer, magnetic compass, inclinometer, GNSS and Sensors for
navigation: tactile and proximity sensors, ultrasound rangefinder, laser scanner, infrared rangefinder,
visual system.
Module 3:
Localization and Mapping in mobile robotics. Motion Control of Mobile Robots (Model and Motion
based Controllers): Lyapunov-based Motion Control Designs and Case Studies. Understand the
current application and limitations of Mobile Robots. Introduction to Mobile Manipulators and
Cooperative Mobile Robots.
Module 4:
Micro-robotics: Introduction, Task specific definition of micro-robots - Size and Fabrication
Technology based definition of micro-robots - Mobility and Functional-based definition of micro-
robots - Applications for MEMS based micro-robots. Implementation of Micro-robots: Arrayed
actuator principles for micro-robotic applications – Micro-robotic actuators.
Module 5:
Design of locomotive micro-robot devices based on arrayed actuators. Micro-robotics devices:
Micro- grippers and other micro-tools - Micro-conveyors - Walking MEMS Micro-robots – Multi-
robot system: Micro-robot powering, Micro-robot communication. Microfabrication and Micro-
assembly: Micro-fabrication principles - Design selection criteria for micromachining - Packaging
and Integration aspects – Micro-assembly platforms and manipulators.
(i) Roland Siegwart, Illah Reza Nourbakhsh, Davide Sacramuzza, Introduction to

Autonomous Mobile Robots, MIT press, 2nd edition, 2011.
146
(ii) 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.
(i) Atnaik, Srikanta, "Robot Cognition and Navigation: An Experiment with Mobile Robots",
Springer-Verlag Berlin and Heidelberg, 2007.
(ii) Spyros G. Tzafestas, “Introduction to Mobile Robot Control”, Elsevier, 2021.
(iii) Margaret E. Jefferies and Wai-Kiang Yeap, "Robotics and Cognitive Approaches to
Spatial Mapping", Springer-Verlag Berlin Heidelberg, 2008.
Course Outcomes:
At the end of the course students will be able to:
● Identify and design a suitable manufacturing process for micro robots.

● Understand the importance of visual perception and recognition for cybernetic view.
● Program a robot for wandering and teleoperation.
******
147
PEC RAI-602 Elective Course-I Data Analytics 2L:0T:0P 2 credits

(Tract: AI)
Detailed Content:
Module 1: Fundamentals of Data Analytics

Descriptive, Predictive, and Prescriptive Analytics, Data Types, Analytics Types, Data Analytics
Steps: Data Pre-Processing, Data Cleaning, Data Transformation, and Data Visualization.
Module 2: Data Analytics Tools

Data Analytics using Python, Statistical Procedures, NumPy, Pandas, SciPy, Matplotlib.
Module 3: Data Pre-Processing

Understanding the Data, Dealing with Missing Values, Data Formatting, Data Normalization, Data
Binning, Importing and Exporting Data in Python, Turning categorical variables into quantitative
variables in Python, Accessing Databases with Python.
Module 4: Data Visualization

Graphic representation of data, Characteristics and charts for effective graphical displays, Chart
types- Single variable: Dot plot, Jitter plot, Error bar plot, Box-and whisker plot, Histogram, Two-
variable: Bar chart, Scatter plot, Line plot, Log-log plot, More than two variables: Stacked plots,
Parallel coordinate plot.
Module 5: Descriptive and Inferential Statistics

Probability distributions, Hypothesis testing, ANOVA, Regression.
Module 6: Machine Learning Concepts

Classification and Clustering, Bayes‟ classifier, Decision Tree, Apriori algorithm, K-Means
Algorithm, Logistics regression, Support Vector Machines, Introduction to recommendation system.
Suggested Text books:
(i) Anil Maheshwari, “Data Analytics made accessible,” Amazon Digital Publication, 2014.
(ii) James R. Evans, “Business Analytics: Methods, Models, and Decisions”, Pearson 2012.
(iii) Song, Peter X. K, “Correlated Data Analysis: Modeling, Analytics, and Applications”,
Springer-Verlag New York 2007.
(i) Glenn J. Myatt, Wayne P. Johnson, “Making Sense of Data I: A Practical Guide to
Exploratory Data Analysis and Data Mining”, Wiley 2009.
(ii) Thomas H. Davenport, Jeanne G. Harris and Robert Morison, “Analytics at Work:
Smarter Decisions, Better Results”, Harvard Business Press, 2010.
(iii) Rachel Schutt, Cathy O’Neil, “Doing Data Science”, O’REILLY, 2006. Shamanth Kumar
Fred Morstatter Huan Liu “Twitter Data Analytics”, Springer-Verlag, 2014.
148
Course Outcomes:
● Examine and compare various datasets and features.

● Analyze the business issues that analytics can address and resolve.
● Apply the basic concepts and algorithms of data analytics.
● Interpret, implement, analyze and validate data using popular data analytics tools.
******
149
PEC RAI-603 Elective Course-I Intelligent Manufacturing 2L:0T:0P 2 credits

Module 1:
Computer Integrated Manufacturing Systems Structure and functional areas of CIM system, - CAD,
CAPP, CAM, CAQC, ASRS. Advantages of CIM. Manufacturing Communication Systems -
MAP/TOP, OSI Model, Data Redundancy, Top- down and Bottom-up Approach, Volume of
Information. Intelligent Manufacturing System Components, System Architecture and Data Flow,
System Operation.
Module 2:
Basic Components of Knowledge Based Systems, Knowledge Representation, Comparison of
Knowledge Representation Schemes, Interference Engine, Knowledge Acquisition. Automated
Process Planning - Variant Approach, Generative Approach, Expert Systems for Process Planning,
Feature Recognition, Phases of Process planning. Knowledge Based System for Equipment Selection
(KBSES) - Manufacturing system design. Equipment Selection Problem, Modeling the
Manufacturing Equipment Selection Problem, Problem Solving approach in KBSES, Structure of the
KRSES.
Module 3:
Group Technology: Models and Algorithms Visual Method, Coding Method, Cluster Analysis
Method, Matrix Formation - Similarity Coefficient Method, Sorting-based Algorithms, Bond Energy
Algorithm, Cost Based method, Cluster Identification Method, Extended CI Method. Knowledge
Based Group Technology - Group Technology in Automated Manufacturing System. Structure of
Knowledge based system for group technology (KBSC IT) — Data Base, Knowledge Base,
Clustering Algorithm.
(i) Andrew Kusiak, “Intelligent Manufacturing Systems”, Prentice Hall, 1990.

(ii) Pat Langley, “Computational Intelligence and Intelligent Systems”, 2006.
(i) Mohammad Jamshidi, “Design and Implementation of Intelligent Manufacturing

Systems: From Expert Systems, Neural Networks to Fuzzy Logic”, 1st Edition, 1995.
(ii) Lucia Knapčíková, Michal Balog, “Industry 4.0: Trends in Management of Intelligent
Manufacturing Systems”, Springer, 2019.
150
Course Outcomes:
After completion of the course, the students will be able to:
● Summarize the concepts of computer integrated manufacturing systems and manufacturing

communication systems.
● Identify various components of knowledge based systems.
● Demonstrate the concepts of artificial intelligence and automated process planning.
● Select the manufacturing equipment using knowledge based system for equipment selection.
● Apply various methods to solve group technology problems and demonstrate the structure for
knowledge based system for group technology.
******
151
PEC RAI-604 Elective Course-I Microcontrollers 2L:0T:0P 2 credits

Architecture and Programming
Detailed Content:
Module 1: Introduction to Microprocessors:

Registers - File registers - Memory Organization - Tristate logic – Buses - Memory Address register
– Read/Write operations. ROM, RAM, PROM, EPROM, E2PROM. Introduction to elementary
processor – Organization - Data Transfer Unit (DTU)operation - Enhanced Data Transfer Unit
(EDTU) – opcode - machine language - assembly language - pipeline and system clock. Architecture
of 8085 – Addressing modes - Data transfer, data processing and program flow control instructions
- Simple assembly language programs.
Module 2: Introduction to Microcontrollers:

PIC16F877 Architecture - Program and Data memory organization - Special Function Registers -
Addressing modes, Instruction set. MPLAB Integrated Development Environment – Introduction to
Assembly language and Embedded C programming – Stack – Subroutines - Interrupt structure –
Peripherals – Input/ Output Ports.
Module 3: PIC Peripherals:

Timers/Counters - Watchdog Timer – Capture/Compare/PWM (CCP) - Analog to Digital
Converter(ADC) – EEPROM - Serial Communication – USART - Development of Application
Programs and interfacing - LED, LCD, Keyboard, DC and Stepper motor interface. Introduction to
8051 Microcontroller: Architecture – Ports - Timers.
(i) Rajkamal, “Microcontrollers - Architecture, Programming, Interfacing and System

Design”, Pearson India, January 2011.
(ii) Valdes Perez, “The 8051 and MSP430 Microcontrollers: Architecture, Program”, T and
F India, Jan 2013.
(i) Kenneth J Ayala The 8051 Microcontroller Architecture, Programming and Architecture,
1996.
(ii) Raj Kamal, Embedded systems Architecture, Programming and design, Tata McGraw hill
Education, 2008.
Course Outcomes:

● Understand the basic principles of Microcontroller based design and development.
● Design real world applications using Microcontroller.
● Understand interfacing technologies and its applications.
● Identify problem and strategy for designing the solution
using appropriate microcontrollers.
******
152
LC RAI-601 Robotic Simulation Laboratory 0L:0T:2P 1 credit
1. Dynamic model development and simulation of simple mechanical systems using Matlab
and Mathematica.
2. Numerical simulation of simple mechanical systems.
3. Stability analysis of simple mechanical systems using linear system theory namely root
locus and Bode plot.
4. State space model development and dynamic simulation using Simulink.
(i) Daniel L. Ryan, “Robotic Simulation”, CRC Press, 1993.

(ii) Agam Kumar Tyagi, “Matlab And Simulink For Engineers, Oxford Press, 2011.
(i) Emilson Pereira Leite, “MATLAB - Modelling, Programming and Simulations”, Sciyo,
2010.
(ii) Jinkun Liu, “Intelligent Control Design and MATLAB Simulation”, Springer, 2018.
Course Outcomes:
● Do Simulation in Matlab.
● Apply simulation theory concepts practically.
● Perform simulation of each task given to them.
******
153
LC RAI-602 Embedded Systems Laboratory 0L:0T:2P 1 credit
1. Study of ARM evaluation system.

2. Interfacing ADC and DAC.
3. Interfacing LED and PWM.
4. Interfacing real time clock and serial port.
5. Interfacing keyboard and LCD.
6. Interfacing EPROM and interrupt.
7. Mailbox.
8. Interrupt performance characteristics of ARM and FPGA.
9. Flashing of LEDS.
10. Interfacing stepper motor and temperature sensor.
11. Implementing ZigBee protocol with ARM.
(i) Sloss Andrew N, Symes Dominic, Wright Chris, “ARM System Developer's Guide:
Designing and Optimizing”, Morgan Kaufman Publication, 2004.
(ii) Michael Beck, “Linux Kernel Programming”, Addison-Wesley Professional,3rd edition
2002.
(i) Raj Kamal, “Embedded Systems – Architecture: Programming and Design”, Tata
McGraw-Hill Education, 3rd edition,2003.
(ii) Embedded Systems: Real-Time Interfacing to ARM Cortex-M Microcontrollers, 2014,
Jonathan W Valvano Create space publications ISBN: 978-1463590154.
(iii) Embedded Systems: Introduction to ARM Cortex - M Microcontrollers, 5th edition
Jonathan W Valvano, Create space publications ISBN-13: 978-1477508992.
Course Outcomes:
● Write programs in ARM for a specific Application.

● Interface memory and Write programs related to memory operations.
● Interface A/D and D/A convertors with ARM system.
● Analyze the performance of interrupt.
● Write programmes for interfacing keyboard, display, motor and sensor.
● Formulate a mini project using embedded system.
******
154
PROJ RAI-601 Mini Project 0L:0T:4P 2 credits
Detailed Content:
● The mini-project is a team activity having 3-4 students in a team. Mini projects should include
mainly Mechanical Engineering contains but can be multi-disciplinary too.
● The mini project may be a complete hardware or a combination of hardware and software.
The software part in mini project should be less than 50% of the total work.
● Mini Project should cater to a small system required in laboratory or real life.
● It should encompass components, devices etc. with which functional familiarity is introduced.
● After interactions with course coordinator and based on comprehensive literature survey/ need
analysis, the student shall identify the title and define the aim and objectives of the mini-
project.
● Students are expected to detail out specifications, methodology, resources required, critical
issues involved in design and implementation and submit the proposal within the first week
of the semester.
● The student is expected to exert on design, development and testing of the proposed work as
per the schedule.
● Completed mini project and documentation in the form of mini project report is to be
submitted at the end of semester.
Course Outcomes:
● Conceive a problem statement either from rigorous literature survey or from the requirements
raised from need analysis.
● Design, implement and test the prototype/algorithm in order to solve the conceived problem.
● Write a comprehensive report on mini project work.
******
155
HSMC-601 Entrepreneurship 1L:0T:0P 1 credit
Course Education Objectives (CEO)
● To introduce and understand Entrepreneurship and its types.

● To understand how to evaluate risk in entrepreneurial ventures.
● To understand different type of finances available and financing methods.
● To understand marketing, digital marketing and their analytics.
● To understand detailed information about the principles, practices and tools involved in all
aspects of the sales processes.
● To understand basics of operations management.
● To understand the nuances of Start-up.
● To understand how to use proven tools for transforming an idea into a product / service that
creates value for others.
Course Outcomes:
● Students would understand different types of Entrepreneurial ventures and would be able
to discover, develop, and assess opportunities.
● Students would learn about opportunity and risk analysis.
● Students would understand the strategies for valuing your own company, and how venture
capitalist and angel investors use valuations in negotiating milestones, influence and
control.
● Students would understand to pick correct marketing mix and how to position the company
in the market by using analytical tools.
● Students would learn how to sale themselves and the product/service and to handle
objections.
● Students would get to know how organizations operates and their process matrices.
● Students will learn how start new ventures.
● Students will learn how to write winning business plans.
******
156
157
SEMESTER – VII
158
159
SEMESTER VII
PCC RAI-701 Smart Manufacturing 2L:0T:0P 2 credits
Pre-Requisites Manufacturing Processes, Engineering Design, Basic Knowledge of

Computers
Types of manufacturing systems and their characteristics, Computer aided Manufacturing (NC, CNC,
DNC and adaptive control systems), Computer Network architectures and protocols, Industry 4.0 –
Concept and elements.
Module 2: Computer Aided Engineering:

Design processes and computer aided design, Introduction to SolidWorks CAD Software, Finite
Element Modeling & Analysis, Computer Aided Process Planning.
Module 3: Group Technology and Cellular Manufacturing:

Parts classification and part coding – approaches and systems, Benefits of group technology, Cellular
manufacturing-basics, layout considerations, Cell formation approaches and evaluation of cell
designs, Planning and control in cellular manufacturing.
Module 4: Flexible Manufacturing Systems:

FMS and its Components, Layout considerations in FMS, Material Handling in FMS.
Module 5: Reverse Engineering & Rapid Prototyping:

Reverse Engineering – Principles and Technology, Rapid Prototyping – Principles and Classification,
Steps in Additive Manufacturing, Benefits and Applications.
Module 6: Cloud Based Design & Manufacturing:

Internet of Things, Data Storage and Analytics, Cloud computing, Cyber-Physical Systems.
(i) Groover M. P. and Zimmers E. W., “CAD/CAM: Computer Aided Design and
Manufacturing”, Pearson Education, New Delhi, 2003.
(ii) Groover M. P., “Automation, Production Systems and Computer Aided Manufacturing”,
Pearson Education, New Delhi, 2015.
160
(i) Kalpakjian and Schmid, “Manufacturing Engineering and Technology”, Pearson

Education, 2020.
(ii) Alasdair Gilchrist, “Industry 4.0: The Industrial Internet of Things”, Apress, 2016.
Course Outcomes:
● Carry out modeling and analysis of simple components.
● Understand the operation of machines used in smart manufacturing.
● Comprehend the various CAM technologies and their features.
● Understand the various stages of product development from design to manufacturing
including the interconnections in smart manufacturing.
******
161
PCC RAI-702 Internet of Robotic Things (RIoT) 2L:0T:0P 2 credits
Detailed Content:
Module 1: IoT Foundations:

Introduction to Internet of Things, An Overview Introduction – Definition and characteristics of IoT,
Physical design of IoT- Things in IoT, IoT protocol, Logical design of IoT – IoT functional blocks,
IoT Communication Models, Introduction to SDN, SDN for IoT, Data Handling and Analytics, Cloud
Computing, Sensor-Cloud, Fog Computing, Examples of IoT based Systems: Smart Cities and Smart
Homes, Connected Vehicles, Smart Grid, Industrial IoT.
Module 2: IoT Architecture and its Protocols:

Basics of Networking, Communication Protocols, Sensor Networks, Machine-to-Machine
Communications, Interoperability in IoT, Introduction to Arduino Programming, Integration of
Sensors and Actuators with Arduino, Introduction to Python programming, Introduction to Raspberry
Pi, Implementation of IoT with Raspberry Pi.
Module 3: Sensors for IoT:

Sensing and actuation, types of sensors, Occupancy Sensors, Motion sensor, velocity, temperature,
pressure, chemical, Gyroscopic sensor, Optical sensors, Humidity, Water Quality sensors, Sensor
applications.
Module 4: Actuator for IoT:

Actuator types, working principle of actuators, integration of sensors and actuators with arduino,
formation of actuators, selection criteria for right actuator, maintenance of actuators, smart material
actuators.
Module 5: Applications of IoT in Robotics:

Future farming with the Internet of things, drones for surveillance, Soft low-power robotics, Tracking
sensors for underwater robotics, Disaster response, Medical services, Smart restaurant, Analysis of
IoT applications and Sensors, Space robotics for science and space exploration, Satellite based
Internetworking, Tele operators, Space component systems like rover mobility, locomotion and
guidance.
Module 6: Future of RIOT:

Powering insect-scale wireless robotics, Big data analysis, Augmented Reality, Additive
manufacturing, Cyber security, the industrial internet of things, the cloud, Horizontal and vertical
system integration, simulation, Autonomous robot.
(i) Vijay Madisetti and Arshdeep Bahga, Internet of Things (A Hands-on Approach), 1st
Edition, VPT, 2014.
162
(ii) Korf Richard, “Space Robotics”, Carnegie-Mellon University, The Robotics Institute,
1982.
(i) Lewin A.R.W. Edwards, “Open source robotics and process control cookbook”, Elsevier
Publications, 2005.
(ii) Francis DaCosta, Rethinking the Internet of Things: A Scalable Approach to Connecting
Everything, 1st Edition, Apress Publications, 2013.
(iii) Wimer Hazenberg, Menno Huisman and Sara Cordoba Rubino, Meta Products: Building
the Internet of Things, BIS publishers, 2012.
(iv) Pethuru Raj and Anupama C. Raman, The Internet of Things: Enabling Technologies,
Platforms, and Use Cases", CRC Press, 2017.
(v) Arshdeep Bahga and Vijay Madisetti Internet of Things: A Hands-on Approach",
Universities Press, 2014.
Course Outcomes:
● Understand the drivers and enablers of Industry 4.0.

● Appreciate the smartness in Smart Factories, Smart cities, smart products and smart services.
● Able to outline the various systems used in a manufacturing plant and their role in an Industry
4.0 world.
● Appreciate the power of Cloud Computing in a networked economy.
● Understand the opportunities, challenges brought about by Industry 4.0 and how
organizations and individuals should prepare to reap the benefits.
******
163
PCC RAI-703 Data Modeling and Visualization 2L:0T:0P 2 credits
Module 1: Introduction Data Modeling:

Entity Relationship Model: Types of Attributes, Relationship, Structural Constraints – Relational
Model, Relational model Constraints - Mapping ER model to a relational schema – Integrity
constraint.
Module 2: Introduction to Data Visualization:

Overview of data visualization - Data Abstraction -Analysis: Four Levels for Validation- Task
Abstraction - Analysis: Four Levels for Validation.
Module 3: Visualization Techniques:

Scalar and point techniques Color Maps Contouring Height Plots – Vector visualization techniques
Vector Properties Vector Glyphs Vector Color Coding Stream Objects.
Module 4: Visual Analytics:

Visual Variables- Networks and Trees - Map Color and Other Channels- Manipulate View Arrange
Tables Geo Spatial Data Reduce Items and Attributes.
Module 5: Types of Visual Analysis:

Time- Series data visualization -Text data visualization- Multivariate data visualization and case
studies.
Module 6: Visualization Tools and Techniques:

Introduction to data visualization tools- Tableau - Visualization using R- Dashboard creation using
visualization tools for the use cases: Finance-marketing-insurance- healthcare etc.
(i) Tamara Munzer, Visualization Analysis and Design, CRC Press 2014 Alexandru Telea,
Data Visualization Principles and Practice CRC Press 2014.
(ii) Paul J. Deitel, Harvey Deitel, Java SE8 for Programmers (Deitel Developer Series) 3rd
Edition, 2014.
(i) Y. Daniel Liang, Introduction to Java programming-comprehensive version- Tenth

Edition, Pearson Ltd. 2015.
(ii) Paul Deitel Harvey Deitel, Java, How to Program, Prentice Hall; 9th edition, 2011.
(iii) Cay Horstmann BIG JAVA, 4th edition, John Wiley Sons, 2009.
(iv) Nicholas S. Williams, Professional Java for Web Applications, Wrox Press, 2014.
164
Course Outcomes:
At the end of this course, students will demonstrate the ability to:
● Illustrate the design principles for data modeling, ER model and normalization and
differentiate data types, visualization types to bring out the insight.
● Relate the visualization towards the problem based on the dataset.
● Identify and create various visualizations for geospatial and table data.
● Ability to visualize categorical, quantitative and text data. Illustrate the integration of
visualization tools with hadoop.
● Ability to create and interpret plots using R/Python.
******
165
PCC RAI-704 Image Processing & Computer Vision 2L:0T:2P 3 credits
Module 1: Image Formation and Representation:

Image acquisition, review of the digital camera, sampling and quantization, Image quality, Color
Camera, Color Balance, Point Operators, Pixel transform, Color Transform, Histogram Equalization,
Bandpass filters ,2D Convolution: Discrete & continuous, Segmentation: Edge detection, Linking,
Thresholding, Region Based Segmentation.
Module 2: Shapes and Regions:

Binary shape analysis, connectedness, object labeling and counting, size filtering, distance functions,
skeletons and thinning, deformable shape analysis, boundary tracking procedures, active contours,
shape models and shape recognition – centroidal profiles, handling occlusion, boundary length
measures, boundary descriptors, chain codes, Fourier descriptors region descriptors, moments.
Module 3: Hough Transform:

Line detection, Hough Transform (HT) for line detection, foot-of-normal method, line localization,
line fitting, RANSAC for straight line detection, HT based circular object detection, accurate center
location, speed problem, ellipse detection.
Module 4: Case study:

Human Iris location, hole detection, generalized Hough Transform (GHT), spatial matched filtering
GHT for ellipse detection, object location, GHT for feature collation.
Module 5: 3D Vision and Motion:

Methods for 3D vision, projection schemes, shape from shading, photometric stereo, shape from
texture, shape from focus, active range finding, surface representations, point-based representation,
volumetric representations, 3D object recognition, 3D reconstruction, introduction to motion,
triangulation, bundle adjustment, translational alignment, parametric motion, spline-based motion,
optical flow, layered motion.
Module 6: Computer Vision Applications:

Face and Facial recognition application: personal photo collections – Instance recognition
application: Object recognition, Object Tracking, Biometric Authentication, Emotion Recognition,
Intelligent Surveillance.
(i) D. L. Baggio et al. “Mastering OpenCV with Practical Computer Vision Projects‖”, Packt
Publishing, 2012.
(ii) E. R. Davies, “Computer & Machine Vision‖, Fourth Edition”, Academic Press, 2012.
166
(iii) Jan Erik Solem, “Programming Computer Vision with Python: Tools and algorithms for
analyzing images”, O'Reilly Media, 2012.
(i) Mark Nixon and Alberto S. Aquado, “Feature Extraction & Image Processing for
Computer Vision”, Third Edition, Academic Press, 2012.
(ii) R. Szeliski, “Computer Vision: Algorithms and Applications”, Springer 2011.
(iii) Simon J. D. Prince, “Computer Vision: Models, Learning, and Inference‖”, Cambridge
University Press, 2012.
(iv) Rafael C. Gonzalez & Richard E. Woods, “Digital Image Processing”, Pearson Education
3rd Edition, 2009.
(v) Computer Vision “A Modern Approach, Forsyth, Ponce”, Pearson Education, 2012.
(vi) David A. Forsyth and Jean Ponce, “Computer Vision: A Modern Approach”, Prentice
Hall, Pearson Education, 2nd Edition, 2012.
Course Outcomes:
● Understand theory and models in image processing.
● Interpret and analyze 2D signals in Spatial and frequency domain through image transforms.
● Apply quantitative models of image processing for segmentation and restoration for various
applications.
● Find shape using various representation techniques and classify the object using different
classification methods.
******
167
OEC RAI-701 Elective Course-II Autonomous 2L:0T:0P 2 credits

Robotics and Telecherics
(Tract: Robotics)
Detailed Content:
Module 1:
Introduction to the fundamentals of mobile robotics, basic principles of locomotion, Kinematics and
Mobility, Classification of mobile robots, AI for Robot Navigation.
Introduction to modern mobile robots: Swarm robots, cooperative and collaborative robots, mobile
manipulators, Current challenges in mobile robotics.
Module 2:
Autonomous Mobile Robots – need and applications, sensing, localisation, mapping, navigation and
control. The Basics of Autonomy (Motion, Vision and PID), Programming Complex Behaviors
(reactive, deliberative, FSM), Robot Navigation (path planning), Robot Navigation (localization),
Robot Navigation (mapping), Embedded electronics, kinematics, sensing, perception, and cognition.
Module 3:
Telecheric robots – Concepts of teleoperations, Need and applications of Telecheric robots,
Humanoid Robots, Swarm Robotics, Robot Applications and Ethics.
(i) Nicolas Korell, “Introduction to Autonomous Robots”, MIT Press, 2016.

(ii) Roland Siegwart, Illah Reza Nourbakhsh, Davide Sacramuzza, Introduction to
Autonomous Mobile Robots, MIT press, 2nd edition, 2011.
(i) Designing Autonomous Mobile Robots, John M Holland, Elsevier, 2004.

(ii) Autonomous Mobile Robots,Edited by Shuzi Sam Ge, Frank L Lewis, Tylor and Francis,
2006
(iii) Peter Corke, Robotics Vision and Control, Springer 2011.
Course Outcomes:
● Learn principles of working of autonomous robots.
● Demonstrating the sensing, perception, and cognition of autonomous robots.
● Understand the anatomy of autonomous robots.
******
168
169
OEC RAI-702 Elective Course-II Deep Learning 2L:0T:0P 2 credits

(Tract: AI)
Detailed Content:
Biological Neuron, Idea of computational units, McCulloch–Pitts unit and Thresholding logic, Linear
Perceptron, Perceptron Learning Algorithm, Linear Separability. Convergence theorem for
Perceptron Learning Algorithm.
Module 2: Neural Network:

Introduction to neural network and multilayer perceptrons (MLPs), representation power of MLPs,
sigmoid neurons, gradient descent, feedforward neural networks representation, Backpropagation.
Module 3: Gradient Descent:

Gradient Descent, Batch Optimization, Momentum Based GD, Nesterov Accelerated GD, Stochastic
GD, AdaGrad, RMSProp, Adam, Saddle point problem in neural networks, Regularization methods
(dropout, drop connect, batch normalization).
Module 4: Autoencoders:
Autoencoders, Regularization in autoencoders, De noising autoencoders, Sparse autoencoders,
Contractive autoencoders, Regularization: Bias Variance Tradeoff, L2 regularization, Early stopping,
Dataset augmentation, Parameter sharing and tying, Injecting noise at input, Ensemble methods,
Dropout, Greedy Layer Wise Pre-training, Better activation functions, Better weight initialization
methods, Batch Normalization.
Module 5: Convolutional Neural Network:

Introduction to CNN, Building Blocks of CNN, Transfer Learning, LeNet, AlexNet, ZF-Net,
VGGNet, GoogLeNet, ResNet, Visualizing CNNs, Guided Backpropagation, Fooling Convolutional
Neural Network.
Module 6: Recurrent Neural Network:

Introduction to RCNN, Backpropagation through time (BPTT), Vanishing and Exploding Gradients,
Truncated BPTT, Long Short Term Memory, Gated Recurrent Units, Bidirectional LSTMs,
Bidirectional RNNs, Encoder Decoder Models, Attention Mechanism.
(i) Yoshua Benjio, Aaron Courville, “Deep Learning- Ian Goodfellow”, The MIT Press,
2016.
(ii) A.C. Faul, “A Concise Introduction to Machine Learning”, CRC Press, 2019.
170
(i) Neural Networks: A Systematic Introduction, Raúl Rojas, 1996.

(ii) Pattern Recognition and Machine Learning, Christopher Bishop, 2007.
Course Outcomes:
1. Understand the fundamentals of neural networks.
2. Design feed forward networks with backpropagation.
3. Analyze neural networks for performance.
4. Apply attention mechanism to the neural network.
******
171
OEC RAI-703 Elective Course-II Mechatronics 2L:0T:0P 2 credits

System Design
Detailed Content:
Module 1: Mechanical Systems and Design:

Mechatronics approach - Control program control, adaptive control and distributed systems - Design
process - Types of Design - Integrated product design - Mechanisms, load conditions, design and
flexibility Structures, load conditions, flexibility and environmental isolation – Man machine
interface, industrial design and ergonomics, information transfer from machine from machine to man
and man to machine, safety.
Module 2: Real Time Interfacing:

Introduction Elements of data acquisition and control Overview of I/O Process-Installation of I/O
card & software - Installation of application software, Over framing.
Module 3: Microcontrollers:
Introduction to use of open source hardware (Arduino & Raspberry Pi); shields/modules for GPS,
GPRS/GSM, Bluetooth, RFID, and Xbee, integration with wireless networks, databases and web
pages; web and mobile phone apps.
Module 4: Case studies on Data Acquisition:

Transducer calibration system for Automotive Applications Strain Gauge weighing system - Solenoid
force - Displacement calibration system - Rotary optical encoder - Inverted pendulum control -
Controlling temperature of a hot/cold reservoir -Pick and place robot - Carpark barriers.
Module 5: Case studies on Data Acquisition and Control:

Thermal cycle fatigue of a ceramic plate - pH control system - De-Icing Temperature Control System
- Skip control of a CD Player - Autofocus Camera, exposure control.
Module 6: Case studies on design of Mechatronics products:

Motion control using D.C. Motor, A.C. Motor & Solenoids - Car engine management - Barcode
reader.
(i) Brian Morris, “Automated Manufacturing Systems - Actuators, Controls, Sensors and
Robotics”, McGraw Hill International Edition, 1995.
(ii) Gopal, “Sensors- A Comprehensive Survey Vol I & Vol VIII”, BCH Publisher, 2008.
172
(i) W. Bolton, Mechatronics - Electronic Control systems in Mechanical and Electrical

Engineering, 2nd Edition, Addison Wesley Longman Ltd., 1999.
(ii) Bradley, D. Dawson, N.C. Burd and A.J. Loader, “Mechatronics: Electronics in Products
and Processes”, Chapman and Hall, London, 1991.
(iii) Devdas Shetty, Richard A. Kolk, “Mechatronics System Design”, PWS Publishing
Company, 1997.
Course Outcomes:
● Demonstrate how mechatronics integrates knowledge from different disciplines in order to
realize engineering and consumer products that are useful in everyday life.
● Apply theoretical knowledge: understanding selection of suitable sensors and actuators;
designing electro-mechanical systems.
● Work with mechanical systems that include digital and analogue electronics as a data
acquisition model.
******
173
OEC RAI-704 Elective Course-II Control of Robotic 2L:0T:0P 2 credits

Systems
Detailed Content:
Module 1:
Basics of robotic system’s kinematics and dynamics: Forward and inverse dynamics. Properties of
the dynamic model and case studies. Introduction to nonlinear systems and control schemes.
Symbolic Modeling of Robots for Direct Kinematic Model and inverse kinematics.
Module 2:
System Stability and Types of Stability Lyapunov stability analysis, both direct and indirect methods.
Lemmas and theorems related to stability analysis, Joint Space and Task Space Control Schemes
Position control, velocity control, trajectory control and force control. Description of Force Control
tasks, Force Control Strategies, Hybrid Position / Force Control, Impedance Force / Torque Control.
Module 3:
Nonlinear Control Schemes Proportional and derivative control with gravity compensation,
computed torque control, sliding mode control, adaptive control, observer based control and robust
control, Optimal Control: Introduction - Time varying optimal control – LQR steady state optimal
control – Solution of Ricatti’s equation – Application examples.
Nonlinear Observer Schemes: Design based on acceleration, velocity and position feedback.
Numerical simulations using software packages.
(i) R K Mittal, I J Nagrath, Robotics and Control, TMH Publishing Co. Ltd., 2003.
(ii) R Kelly, D. Santibanez, LP Victor and Julio Antonio, “Control of Robot Manipulators in
Joint Space”, Springer, 2005.
(iii) A Sabanovic and K Ohnishi, “Motion Control Systems”, John Wiley & Sons (Asia), 2011.
(i) R M Murray, Z. Li and SS Sastry, “A Mathematical Introduction to Robotic

Manipulation”, CRC Press, 1994.
(ii) J J Craig, “Introduction to Robotics: Mechanics and Control”, Prentice Hall, 2004. 3. J J
E Slotine and W Li, “Applied Nonlinear Control”, Prentice Hall, 1991.
(iii) Sebastian Thrun, Wolfram Burgard, Dieter Fox, “Probabilistic Robotics”, MIT.
(iv) Carlos, Bruno, Georges Bastin, “Theory of Robot Control”, Springer, 2012.
174
Course Outcomes:
● Demonstrate non-linear system behavior by phase plane and describing function methods.
● Perform the stability analysis nonlinear systems by Lyapunov method.
● Derive discrete-time mathematical models in both time domain (difference equations, state
equations) and z domain (transfer function using z-transform).
● Predict and analyze transient and steady-state responses and stability and sensitivity of both
open-loop and closed-loop linear, time-invariant, discrete-time control systems.
● Acquire knowledge of state space and state feedback in modern control systems, pole
placement, design of state observers and output feedback controllers.
******
175
LC RAI-701 Smart Manufacturing Laboratory 0L:0T:2P 1 credit
Detailed Content:
● Solid Design in Autodesk Fusion.

● Advanced Solid Design in Autodesk Fusion.
● Freeform Design in Autodesk Fusion (Advance Freeform Design in Autodesk Fusion
(Advanced Modeling).
● Machining Simulation in Autodesk Fusion (3 axis Milling).
● Machining Simulation in Autodesk Fusion (4+ axis Milling).
● Machining Simulation in Autodesk Fusion (Turning).
● Machining Simulation in Autodesk Fusion (Mill-Turning).
(i) Groover M. P. and Zimmers E. W., “CAD/CAM: Computer Aided Design and
Manufacturing”, Pearson Education, New Delhi, 2003.
(ii) Groover M. P., “Automation, Production Systems and Computer Aided Manufacturing”,
Pearson Education, New Delhi, 2015.
(i) Kalpakjian and Schmid, “Manufacturing Engineering and Technology”, Pearson

Education, 2020.
(ii) Alasdair Gilchrist, “Industry 4.0: The Industrial Internet of Things”, Apress, 2016.
Course Outcomes:
● Explain Autodesk Fusion software and its different tools.
● Perform simulation in the software.
● Describe different machining processes through simulation.
● Use Autodesk fusion software for multiple uses.
******
176
LC RAI-702 Robotics and AI case studies with RIoT 0L:0T:2P 1 Credit
Detailed Content:
Case study of:

● Collaborative Robot Systems
● Industry 4.0
● Autonomous vehicles
● Tesla Car
(i) Vijay Madisetti and Arshdeep Bahga, Internet of Things (A Hands-on Approach), 1st
Edition, VPT, 2014.
(ii) Korf Richard, “Space Robotics”, Carnegie-Mellon University, The Robotics Institute,
1982.
(i) Lewin A.R.W. Edwards, “Open source robotics and process control cookbook”, Elsevier
Publications, 2005.
(i) Francis DaCosta, Rethinking the Internet of Things: A Scalable Approach to Connecting
Everything, 1st Edition, Apress Publications, 2013.
(ii) Wimer Hazenberg, Menno Huisman and Sara Cordoba Rubino, Meta Products: Building
the Internet of Things, BIS publishers, 2012.
(iii) Pethuru Raj and Anupama C. Raman, The Internet of Things: Enabling Technologies,
Platforms, and Use Cases", CRC Press, 2017.
(iv) Arshdeep Bahga and Vijay Madisetti Internet of Things: A Hands-on Approach",
Universities Press, 2014.
Course Outcomes:
● Understand the concept of IoT.
● Implement theoretical concepts in real life applications.
● Differentiate IoT and RIoT.
******
177
LC RAI-703 Data Modeling and Visualization 0L:0T:2P 1 credit

Laboratory
Detailed Content:
● Find and describe 3 datasets that you’d like to potentially visualize for your project. Load and
parse those 3 datasets using D3.js.
● Re-create one of the small graphics from Figure 5.1 (page 94) using D3.js.
● Create a visualization of the dataset you chose for your project using D3.js, including axes
and legends.
● Add one of the interaction techniques discussed to your project using D3.js.
● Combine your 2 visualizations from week 4 with some form of linked interaction.
● Create a histogram or aggregated bar chart of your project dataset.
● Machining Simulation in Autodesk Fusion (Mill-Turning).
(i) Tamara Munzer, Visualization Analysis and Design -, CRC Press 2014 Alexandru Telea,
Data Visualization Principles and Practice CRC Press 2014.
(ii) Paul J. Deitel, Harvey Deitel, Java SE8 for Programmers (Deitel Developer Series) 3rd
Edition, 2014.

(i) Y. Daniel Liang, Introduction to Java programming-comprehensive version- Tenth
Edition, Pearson Ltd. 2015.
(ii) Paul Deitel Harvey Deitel, Java, How to Program, Prentice Hall; 9th edition, 2011.
(iii) Cay Horstmann BIG JAVA, 4th edition, John Wiley Sons, 2009.
(iv) Nicholas S. Williams, Professional Java for Web Applications, Wrox Press, 2014.
Course Outcomes:
● Illustrate the design principles for data modeling, ER model and normalization and
differentiate data types, visualization types to bring out the insight.
● Relate the visualization towards the problem based on the dataset.
● Identify and create various visualizations for geospatial and table data.
● Ability to visualize categorical, quantitative and text data. Illustrate the integration of
visualization tools with hadoop.
● Ability to create and interpret plots using R/Python.
******
178
PROJ RAI-701 Project Stage – I 0L:0T:4P 2 credits
Detailed Content:
To familiarize the students about the standards and practices used in industry/ research organization/
in-house research. The study leads towards finalization of the problem statement for project work,
which is helpful to establish a link between industry and academia for low cost solution, identification
of current needs of the society as well as industrial research.
Course Outcomes:
1. Ability to work effectively in a various team (may be multidisciplinary teams).
2. Identify, formulate and solve a problem of Robotics and Artificial Intelligence.
3. Understand the impact of Robotics and Artificial Intelligence solutions in a global, economic,
environmental and societal context.
******
179
MLC RAI-701 Intellectual Property Rights (Audit 1L:0T:0P 0 credit

Course)
Detailed Content:
● Introduction to the concepts Property and Intellectual Property, Nature and Importance of
Intellectual Property Rights, Objectives and Importance of understanding Intellectual
Property Rights.
● Understanding the types of Intellectual Property Rights: -Patents-Indian Patent Office and its
Administration, Administration of Patent System – Patenting under Indian Patent Act, Patent
Rights and its Scope, Licensing and transfer of technology, Patent information and database.
Provisional and Non Provisional Patent Application and Specification, Plant Patenting, Idea
Patenting.
● Integrated Circuits, Industrial Designs, Trademarks (Registered and unregistered trademarks),

Copyrights, Traditional Knowledge, Geographical Indications, Trade Secrets, Case Studies
● New Developments in IPR, Process of Patenting and Development: technological research,

innovation, patenting, development.
● International Scenario: WIPO, TRIPs, Patenting under PCT.
(i) Aswani Kumar Bansal, “Law of Trademarks in India”, JBA, 2014.
(ii) B. L. Wadehra, “Law relating to Patent, Trademarks, Copyrights, Designs and

Geographical Indications”, Universal Law Publishing Co Ltd, 2014.
(i) GVG Krishnamurthy, “The law of trademarks, Copyright, Patents and designs”, 2012.
(ii) Satyawrat Ponkse, “The management of Intellectual Property”, Bhate & Ponkshe, 1991.
(iii) S K Roy Chaudhary and H K Saharay, “The law of Trademarks, Copyrights” ,World
Intellectual Property Organization, 2018.
(iv) Manual of Patent Office Practice and Procedure, LexisNexis, 2014.
(v) WIPO:WIPO guide to Patent Information, World Intellectual Property Organization,

2014.
180
(vi) Mayali, “Industrial Designs”, McGraw Hill, 2013.
(vii) Niebel, “Product Design by Niebel”, McGraw Hill, 1974.
Course Outcomes:
● Understand research problem formulation and approaches of investigation of solutions for
research problems.
● Learn ethical practices to be followed in research.
● Apply research methodology in case studies.
● Acquire skills required for presentation of research outcomes (report and technical paper
writing, presentation etc.).
● Discover how IPR is regarded as a source of national wealth and mark of an economic
leadership in context of global market scenario.
● Study the national and international IP system.
******
181
LLC RAI-701 Liberal Learning Course (Audit 1L:0T:0P 0 credit

Course)
Detailed Content:
Identification of topic and resources, scope, and synthesize viewpoints for the areas such as
performing arts, basic Sciences, business, philosophy, sports and athletics, defense studies and
education.
Course Outcomes:
○ Exhibit self-learning capabilities and its use in effective communication.

○ Inculcate impact of various areas to relate with society at large.
******
182
183
SEMESTER – VIII
184
185
SEMESTER VIII
PCC RAI-801 Robot System Design and SLAM 2L:0T:0P 2 credits
(Simultaneous Localization and Area
Mapping)
Pre-Requisites Robot Kinematics, Robot Dynamics, Computer Programming
Industrial Applications of Robots, Industrial Environments and Constraints, Free Open Source
Software for Robot Simulation, Robotic Operating System (ROS), Gazebo, MoveIt, Ubuntu, Python,
Installing and Configuring Simulation Softwares.
Module 2: Robotic Operating System:
Robotic Operating System (ROS) Fundamentals, Building a ROS Application, ROS Services, ROS
Actions, Unified Robot Description Format (URDF).
Module 3: Robot Navigation:
Slam: Simultaneous Localization and Mapping (SLAM) implementation with ROS2 packages and
C++. Combining mapping algorithms with the localization concepts, Introduction to the Mapping
and SLAM concepts and algorithms. Occupancy Grid Mapping, Mapping an environment with the
Occupancy Grid Mapping algorithm, Grid-based FastSLAM: Simultaneous mapping an environment
and localize a robot relative to the map with the Grid-based FastSLAM algorithm, Self-Localisation,
Path Planning and Obstacle Avoidance, Map-Building and Map Interpretation, Simultaneous
Localization and Mapping, Navigation using Software Tools.
Module 4: Manipulation:
Object Manipulation, Manipulation Planning Algorithms, Prehension, Manipulation using Software

Tools.
Module 5: Robot Vision:
Object Detection, Pose Estimation, Logical Camera, ROS Tools for Vision.
186

(iv) SLAM for dummies: https://dspace.mit.edu/bitstream/handle/1721.1/119149/16-412j-
spring-2005/contents/projects/1aslam_blas_repo.pdf
(v) ROS Robot Programming; YoonSeok Pyo I HanCheol Cho I RyuWoon Jung I TaeHoon
Lim; https://community.robotsource.org/t/download-the-ros-robot-programming-book-
for-free/51
Course Outcomes:
● Understand the features and uses of Robotic Operating System (ROS) and allied software
tools.
● Generate a robot manipulator and its working environment using simulation tools.
● Implement robot navigation and object manipulation for a given application.
● Incorporate and use robot vision for real-world applications.
******
187
PEC RAI-801 Elective Course-III Advanced Robotics 2L:0T:0P 2 credits

Programming
(Tract: Robotics)
Module 1: Introduction to ROS2:

Architectural overview of the Robot Operating System, Framework and setup with ROS2
environment, ROS2 workspace structure, essential command line utilities. ROS2 nodes, topics,
services, parameters, actions and launch files. Programming nodes, topics, services, actions with
C/C++/Python. Real time programming with ROS2.
Module 2: Robot Simulation Engines:

Physics simulations of Robots with Gazebo, Mujoco and Pybullet C++/Python APIs. Intro to Path
Planning and Navigation, Classic Path Planning, Number of classic path planning approaches that
can be applied to low-dimensional robotic systems. Coding the BFS and algorithms in C++. Sample-
Based and Probabilistic Path Planning and improvement using the classic approach. Programming in
Moveit framework.
Module 3: Motion Planning, Mapping and SLAM:

Use of the EKF ROS package to a robot to estimate its pose. Monte Carlo Localization: The Monte
Carlo Localization algorithm which uses particle filters to estimate a robot's pose. Build MCL in
C++: Coding the Monte Carlo Localization algorithm in C++. Simultaneous Localization and
Mapping (SLAM) implementation with ROS2 packages and C++. Combining mapping algorithms
with the localization concepts. Introduction to the Mapping and SLAM concepts and algorithms.
Occupancy Grid Mapping: Mapping an environment with the Occupancy Grid Mapping algorithm.
Grid-based FastSLAM: Simultaneous mapping an environment and localize a robot relative to the
map with the Grid-based FastSLAM algorithm.
Concepts of microros, Client library, features of microros, real time operating systems (RTOS- Free
RTOS, Zephyr), implementation of microros on ARM/ESP32 based microcontrollers.

(i) Aaron Martinez, Enrique Fernandez, “Learning ROS for Robotic Programming”, PACKT
publishing, 2013.
(ii) Morgan Quigley, Brian Gerkey, William D Smart, “Programming Robots with ROS”,
SPD Shroff Publishers and distributors Pvt. Ltd., 2016.
(iii) Lentin Joseph, “Mastering ROS for Robotics Programming: Design, Build and simulate
complex robots using ROS”, PACKT publishing, 2013.

188
(iii) Ramkumar Gandhinathan, Lentin Joseph , “ ROS Robotics Projects: Build and control
Course Outcomes:
● Understand the basic principles of Robotics programming and development.
● Design real world applications using available software.
● Understand integration technologies and its applications.
● Identify problems in integrating the system / simulations / programming.
******
189
PEC RAI-802 Elective Course-III Advanced 2L:0T:0P 2 credits

(Tract: AI)
Module 1:
Overview of Probability Theory, Bayes Networks, Independence, I-Maps, Undirected Graphical
Models, Bayes Networks and Markov Networks, Local Models, Template Based Representations,
Exact Inference: Variable Elimination; Clique Trees, Belief Propagation Tree Construction.
Module 2:
Intro to Optimization, Approximate Inference: Sampling, Markov Chains, MAP Inference, Inference
in Temporal Models, Learning Graphical Models: Intro Parameter Estimation, Bayesian Networks
and Shared Parameters.
Module 3:
Structure Learning, Structure Search Partially Observed Data, Gradient Descent, EM, Hidden
Variables, Undirected Models, Undirected Structure Learning, Causality, Utility Functions, Decision
Problems, Expected Utility, Value of Information, Decision- Making: basics of utility theory,
decision theory, sequential decision problems, elementary game theory, sample application.

(i) Russell, Stuart and Norvig, Peter, Artificial Intelligence: A Modern Approach" Prentice
Hall, 2003.
(ii) Zhongzhi Shi, “Advanced Artificial Intelligence”, World Scientific Publishing Company,
March 2011.
(iii) Luger " Artificial Intelligence", Edition 5, Pearson, 2008.

(i) Daphne Koller and Nir friedman, “Probabilistic Graphical Models”, MIT Press, 2009.
(ii) Russell and P. Norvig, “Artificial Intelligence”, Pearson Publication, 2020.
(iii) Cristopher Bishop: pattern Recognition and machine Learning, Springer, 2006.
Course Outcomes:
● Explain in detail how the techniques in the perceive-inference-action loop work.
● Choose, compare, and apply suitable basic learning algorithms to simple applications.
● Ability to explain how deep neural networks are constructed and trained, and apply deep
neural networks to work with large scale datasets.
● Understand and develop deep reinforcement learning algorithms for suitable applications.
******
190
PEC RAI-803 Elective Course-III Micro Electro 2L:0T:0P 2 credits

Mechanical Systems
Detailed Content:
Overview of MEMS & Microsystems: Evolution of Micro sensors, MEMS & microfabrication
typical MEMS and Microsystems and miniaturization – applications of Microsystems. Materials
demand for Extreme conditions of operation, material property mapping, Processing, strengthening
methods, treatment and properties.
Module 2: MEMS materials:

Overview of Smart Materials, Structures and Products Technologies Smart Materials (Physical
Properties) Piezoelectric Materials, Electrostrictive Materials, Magnetostrictive Materials, Magneto
electric Materials, Magneto rheological Fluids Electro Rheological Fluids, Shape Memory Materials,
Bio-Materials, metal matrix composites (MMC), their applications in aerospace and automobiles,
Superplastic materials.
Module 3: Micro manufacturing/Micro fabrication:

Preparation of the substrate, Physical Vapor Deposition, Chemical Vapor Deposition, Ion
Implantation, Coatings for high temperature performance, Electrochemical and spark discharge and
Plasma coating methods, electron beam and laser surface processing, Organic and Powder coatings,
Thermal barrier coating, LIGA process.
Module 4: Micro sensors:

Smart Sensor, Actuator and Transducer Technologies, Smart Sensors: Accelerometers; Force
Sensors; Load Cells; Torque Sensors; Pressure Sensors; Microphones; Sensor Arrays Micro
actuators.
Module 5: Smart Actuators:

Displacement Actuators; Force Actuators; Power Actuators; Vibration Dampers; Shakers; micro
Fluidic Pumps; micro Motors Smart Transducers: Ultrasonic Transducers; Sonic Transducers.
(i) Tai Ran Hsu, “MEMS and Microsystems: Design and Manufacture”, Tata McGraw Hill,
2002.
(ii) Westbrook J.H & Fleischer R.L., “Micro sensors, MEMS and smart Devices”, Julian W.
Gardner & Vijay K. Varadan, John Wiley & Sons, 2001.
191
(i) M.V. Gandhi and B.S. Thompson, “Smart Materials and Structures”, Chapman & Hall,
London; New York, 1992.
(ii) A.V. Srinivasan, “Smart Structures: Analysis and Design”, Cambridge University Press,
Cambridge; New York, 2001 (ISBN: 0521650267). B. Culshaw, “Smart Structures and
Materials”, Artech House, Boston, 1996.
Course Outcomes:
● Explain MEMS technology and challenges in it.
● Understand and explain micro sensors, micro actuators, their types and applications.
● Explain about fabrication processes for producing micro sensors and actuators.
● Do material selection appropriately according to fabrication processes.
******
192
PEC RAI-804 Elective Course-III Advanced 2L:0T:0P 2 credits

Control Systems
Detailed Content:
Module 1:
State space Analysis State Space Representation, Solution of State Equation, State Transition Matrix,
Canonical Forms – Controllable Canonical Form, Observable Canonical Form, Jordan Canonical
Form. Tests for Controllability and Observability for Continuous Time, Systems – Time Varying
Case, Minimum Energy Control, Time Invariant Case, Principle of Duality, Controllability and
Observability form Jordan Canonical Form and Other Canonical Forms. Describing Function
Analysis -Introduction to Nonlinear Systems, Types of Nonlinearities, Describing Functions,
Describing Function Analysis of Nonlinear Control Systems. Phase-Plane Analysis Introduction to
Phase-Plane Analysis, Method of Isoclines.
Module 2:
For Constructing Trajectories, Singular Points, Phase-Plane Analysis of Nonlinear Control Systems.
Stability Analysis Stability in the Sense of Lyapunov., Lyapunov’s Stability and Lypanov’s
Instability Theorems. Direct Method of Lyapunov for the Linear and Nonlinear Continuous Time
Autonomous Systems. Modal Control Effect of State Feedback On Controllability and Observability,
Design of State Feedback Control Through Pole Placement. Full Order Observer and Reduced Order
Observer. Calculus of Variations Minimization of Functionals of Single Function, Constrained
Minimization. Minimum Principle. Control Variable Inequality Constraints. Control and State
Variable Inequality Constraints.
Module 3:
Euler Lagrange Equation. Optimal Control Formulation of Optimal Control Problem. Minimum
Time, Minimum Energy, Minimum Fuel Problems. State Regulator Problem. Output Regulator
Problem. Tracking Problem, Continuous-Time Linear Regulators.
(i) M. Gopal, Digital Control and State Variable Methods, Tata Mc Graw-Hill Companies,
1997.
(ii) M. Gopal Modern Control System Theory, New Age International Publishers, 2nd edition,
1996.
(i) K. Ogata, “Modern Control Engineering”, Prentice Hall of India, 3rd edition, 1998.
(ii) I.J. Nagrath and M. Gopal, “Control Systems Engineering”, New Age International (P)
Ltd, 2017.
(iii) Stainslaw H. Zak, “Systems and Control”, Oxford Press, 2003.
193
Course Outcomes:
● Demonstrate non-linear system behavior by phase plane and describing function methods.
● Perform the stability analysis nonlinear systems by Lyapunov method.
● Develop design skills in optimal control problems.
● Derive discrete-time mathematical models in both time domain (difference equations, state
equations) and z domain (transfer function using z-transform).
● Predict and analyze transient and steady-state responses and stability and sensitivity of both
open-loop and closed-loop linear, time-invariant, discrete-time control systems.
● Acquire knowledge of state space and state feedback in modern control systems, pole
placement, design of state observers and output feedback controllers.
******
194
195
OEC RAI-801 Elective Course-IV Biomedical 2L:0T:0P 2 credits

Robotics
(Tract: Robotics)
Pre-Requisites Modeling and control of robot
Detailed Content:
Module 1:
Rigid Motions, Homogeneous transformations Forward/Inverse Kinematics Jacobian, redundant
motions and singularities. Forward/Inverse Dynamics Force/Motion Control.
Module 2:
Biological movement control Robots for biomedical research teleoperation, cooperative
manipulation, robots for endoscopy Physical human-robot interaction. Issues in the Control of
Prosthetic Limbs.
Module 3:
Surgical Robots Biomimetic Systems Neuro-Rehabilitation Robotics Prosthetics Assistive robotics
soft robotics for biomedical applications Biomimetic Robotics Surgery robotics.
(i) Maki Habib, “Handbook of Research on Biomimetics and Biomedical Robotics”, IGI
Global, 2017.
(ii) Yi Guo, “Selected Topics in Micro/Nano-robotics for Biomedical Applications”,
Springer, 2013.
(i) Siciliano, B., Sciavicco, L. Villani, L. and Oriolo, “Robotics, Modeling, Planning and
Control”, Springer. 2009.
(ii) Habib, "Handbook of Research on Biomimetics and Biomedical Robotics Advances in
Computational Intelligence and Robotics” (2327-0411), Maki Publishers, 2017.
Course Outcomes:
● Identify and describe different types of medical robots and their potential applications.
● Know basic concepts in kinematics, dynamics, and control relevant to medical robotics.
● Understanding and analyzing biological signals (motion, muscle and brain activity).
196
● Control robots with bio signals.

● Develop the analytical and experimental skills necessary to design and implement robotic
assistance for different biomedical applications.
● Be familiar with the state of the art in applied medical robotics and medical robotics research.
● Understand the various roles that robotics can play in healthcare.
******
197
OEC RAI-802 Elective Course-IV Augmented 2L:0T:0P 2 credits

Reality and Virtual Reality
(Tract: AI)
Detailed Content:
Module 1: Introduction to Augmented Reality:

Defining augmented reality, history of augmented reality, The Relationship Between Augmented
Reality and Other Technologies-Media, Technologies, Other Ideas Related to the Spectrum Between
Real and Virtual Worlds, applications of augmented reality, Working, Concepts Related to
Augmented Reality, Ingredients of an Augmented Reality Experience.
Module 2: Augmented Reality Architecture:

Audio Displays, Haptic Displays, Visual Displays, Other sensory displays, Visual Perception,
Requirements and Characteristics, Spatial Display Model. Processors – Role of Processors, Processor
System Architecture, Processor Specifications. Tracking & Sensors - Tracking, Calibration, and
Registration, Characteristics of Tracking Technology, Stationary Tracking Systems, Mobile Sensors,
Optical Tracking, Sensor Fusion.
Module 3: AR Techniques:
Marker-based approach- Introduction to marker-based tracking, types of markers, marker camera
pose and identification, visual tracking, mathematical representation of matrix multiplication Marker
types- Template markers, 2D barcode markers, imperceptible markers. Marker-less approach-
Localization based augmentation, real world examples Tracking methods- Visual tracking, feature
based tracking, hybrid tracking, and initialisation and recovery.
Module 4: Introduction to Virtual Reality:

Defining Virtual Reality, History of VR, Human Physiology and Perception, Key Elements of Virtual
Reality Experience, Virtual Reality System, Interface to the Virtual World-Input & output- Visual,
Aural & Haptic Displays, Applications of Virtual Reality.
Module 5: Virtual World Motion tracking:

Representation of the Virtual World, Visual Representation in VR, Aural Representation in VR and
Haptic Representation in VR, Motion in Real and Virtual Worlds- Velocities and Accelerations, The
Vestibular System, Physics in the Virtual World, Mismatched Motion and Vection Tracking-
Tracking 2D & 3D Orientation, Tracking Position and Orientation, Tracking Attached Bodies.
Module 6: Virtual Worlds & Human Vision:

Geometric Models, Changing Position and Orientation, Axis-Angle Representations of Rotation,
Viewing Transformations, Chaining the Transformations, Human Eye, eye movements &
implications for VR.
198
(i) Oliver Bimber and Ramesh Raskar, “Spatial Augmented Reality: Merging Real and
Virtual Worlds”, 2005.
(ii) Developing Virtual Reality Applications: Foundations of Effective Design, Alan B Craig,
William R Sherman and Jeffrey D Will, Morgan Kaufmann, 2009.
(i) Gerard Jounghyun Kim, “Designing Virtual Systems: The Structured Approach”, 2005.
(ii) Steven M. LaValle, “Virtual Reality”, Cambridge University Press, 2016.
(iii) Burdea, Grigore C and Philippe Coiffet, “Virtual Reality Technology”, Wiley Interscience,
India, 2003.
(iv) William R Sherman, Alan B Craig, “Understanding Virtual Reality: Interface, Application
and Design”, “The Morgan Kaufmann Series in Computer Graphics”, Morgan Kaufmann
Publishers, San Francisco, CA, 2002.
Course Outcomes:
● Understand and analyze the hardware requirement of AR.

● Describe AR systems work and list the applications of AR.
● Understand the design and implementation of the hardware that enables VR systems to be
built.
● Explain the concepts of motion and tracking in VR systems.
******
199
OEC RAI-803 Elective Course-IV Advanced 2L:0T:0P 2 credits

Mechatronics
Detailed Content:
Module 1:
Introduction to theoretical and applied mechatronics, design and operation of mechatronics systems;
mechanical, electrical, electronic, and opto-electronic components; sensors and actuators including
signal conditioning and power electronics.
Module 2:
Microcontrollers—fundamentals, programming, and interfacing; and feedback control. Includes
structured and term projects in the design and development of proto-type integrated mechatronic
systems.
Module 3:
Introduction to applications of, and hands-on experience with microcontrollers and single-board
computers for embedded system applications. Specifically, gain familiarity with the fundamentals,
anatomy, functionality, programming, interfacing, and protocols for the Arduino microcontroller,
multi-core Propeller microcontroller, and single-board computer Raspberry Pi. Includes mini-
projects and term projects in the design and development of proto-type integrated mechatronic
systems.
(i) William Bolton, “Mechatronics (Electronic Control Systems in Mechanical and Electrical
Engineering)”, Pearson.
(ii) Raj Kamal, “Embedded systems Architecture, Programming and design”, Tata McGraw
hill Education 2008.
(i) Kenneth J Ayala, “The 8051 Microcontroller Programming and Architecture”, 1996.
(ii) W. Bolton, Mechatronics - Electronic Control systems in Mechanical and Electrical
Engineering, 2nd Edition, Addison Wesley Longman Ltd., 1999.
(iii) Devdas Shetty, Richard A. Kolk, Mechatronics System Design, PWS Publishing company,
1997.
(iv) Bradley, D. Dawson, N.C. Burd and A.J. Loader, Mechatronics: Electronics in Products 4.
and Processes, Chapman and Hall, London, 1991.
(v) Brian Morris, Automated Manufacturing Systems - Actuators, Controls, Sensors and
Robotics, Mc Graw Hill International Edition, 1995.
(vi) Gopal, Sensors- A Comprehensive Survey Vol I & Vol VIII, BCH Publisher, 2013.
200
Course Outcomes:
● Acquire knowledge of Mechatronic systems and its design.
● Gain Knowledge of Microcontrollers and its operation.
● Perform experiments on Microcontrollers.
******
201
OEC RAI-804 Elective Course-IV Robot Dynamics 2L:0T:0P 2 credits

and Control
Detailed Content:
Module 1:
Introduction Rigid-body, DoF, Rotation and Forward Kinematics. (DH par.) Inverse Kinematics
Workspace, Rigid Body Dynamics.Dynamics of Robot Arms.
Module 2:
System Dynamics and Control - Modeling of electrical, mechanical, and electromechanical systems.
Analytic solution of open loop and feedback type systems. Root Locus methods in design of systems
and evaluation of system performance. Time and frequency domain.
Module 3:
Introduction to Linear Control, State Space Modeling and Multivariable Systems, Nonlinear Control,
Stability Theory Quadrotor Control Trajectory Generation Planning and Control of a Quadrotor
design of control systems.
(i) Saeed B. Niku, “Introduction to Robotics – Analysis, Control, Applications”, Wiley

India Pvt. Ltd., 2010.
(ii) S. K. Saha, “Introduction to Robotics”, McGraw Hill Education (India) Pvt. Ltd., 2014.
(iii) Choset, Lynch, Hutchinson, Kantor, Burgard, Kavraki and Thrun, “Principle of Robot
Motion”, PHI Learning Pvt. Ltd., 2000.
Course Outcomes:
● Select, design, analyze, implement, and evaluate effective controllers for a number of
different robotics platforms and applications.
● The dynamics of robot arms, mobile robots and quadrotors.
● Position and force control for robots.
● How to generate complex trajectories.
● The basics of configuration spaces for robotic systems.
● Controller synthesis and stability.
******
202
LC RAI-801 Robot System Design and SLAM 0L:0T:2P 1 credit

(Simultaneous Localization and Area
Mapping) Laboratory
Detailed Content:
● To install ROS and set-up a ROS workspace on a computer.
● To write ROS talker-listener code in python.
● To create a mobile robot base URDF model.
● To create a 3-DOF robot arm URDF model.
● To simulate a mobile robot base in Gazebo.
● To attach the robot arm to base and simulate the complete mobile robot in Gazebo.
● To create an environment in Gazebo for simulating a mobile robot for an industrial
application.
● To implement SLAM for industrial application using ROS open-source packages.
● To configure and interface a webcam with ROS.
● To use OpenCV with ROS for a vision application.


(iv) SLAM for dummies: https://dspace.mit.edu/bitstream/handle/1721.1/119149/16-412j-
spring-2005/contents/projects/1aslam_blas_repo.pdf
(v) ROS Robot Programming; YoonSeok Pyo I HanCheol Cho I RyuWoon Jung I TaeHoon
Lim; https://community.robotsource.org/t/download-the-ros-robot-programming-book-
for-free/51
Course Outcomes:
● Understand the features and uses of Robotic Operating System (ROS) and allied software
tools.
● Generate a robot manipulator and its working environment using simulation tools.
● Implement robot navigation and object manipulation for a given application.
● Incorporate and use robot vision for real-world applications.
******
203
PROJ RAI-801 Project Stage – II 0L:0T:16P 8 credits
Detailed Content:
Project should be research oriented experimental work, involving detail analysis or development of
the industrial case studies related to Robotics & Artificial Intelligence.
Course Outcomes:
● Apply the techniques learned during the course.

● Provide solution to the problem.
● Publish their work in conferences and Journals.
******
204
LC RAI-802 Seminar 0L:1T:0P 1 credit
Detailed Content:
Seminar topic would be an emerging technology/ research/ product, study and finalization of the
topic, sharing of knowledge with peers and discussion, documentation in the form of a report.
Course Outcomes:
● Understand the contemporary / emerging technology for various processes and systems.
● Share knowledge effectively in oral and written form and formulate documents.
******
205
LLC RAI-801 Liberal Learning Course 1L:0T:0P 0 credit

(Audit Course)
Detailed Content:
Identification of topic and resources, scope, and synthesize viewpoints for the areas such as
performing arts, basic Sciences, business, philosophy, sports and athletics, defense studies and
education.
Course Outcomes:
● Exhibit self-learning capabilities and its use in effective communication.

● Inculcate impact in various areas to relate with society at large.
******
206
207
208
209
Appendix – III: A Guide to Induction Program
1. Introduction
(Induction Program was discussed and approved for all colleges by AICTE in March 2017. It was
discussed and accepted by the Council of IITs for all IITs in August 2016. It was originally proposed
by a Committee of IIT Directors and accepted at the meeting of all IIT Directors in March 2016.1
This guide has been prepared based on the Report of the Committee of IIT Directors and the
experience gained through its pilot implementation in July 2016 as accepted by the Council of IITs.
Purpose of this document is to help institutions in understanding the spirit of the accepted
Induction Program and implementing it.)
Engineering colleges were established to train graduates well in the branch/department of

admission, have a holistic outlook, and have a desire to work for national needs and beyond.
The graduating student must have knowledge and skills in the area of his study. However, he
must also have broad understanding of society and relationships. Character needs to be
nurtured as an essential quality by which he would understand and fulfill his responsibility as
an engineer, a citizen and a human being. Besides the above, several meta-skills and underlying
values are needed.
There is a mad rush for engineering today, without the student determining for himself his
interests and his goals. This is a major factor in the current state of demotivation towards
studies that exists among UG students.
The success of gaining admission into a desired institution but failure in getting the desired
branch, with peer pressure generating its own problems, leads to a peer environment that is
demotivating and corrosive. Start of hostel life without close parental supervision at the same
time, further worsens it with also a poor daily routine.
To come out of this situation, a multi-pronged approach is needed. One will have to work closely
with the newly joined students in making them feel comfortable, allow them to explore their
academic interests and activities, reduce competition and make them work for excellence,
promote bonding within them, build relations between teachers and students, give a broader
view of life, and build character.
_______________________________________________________________________________________________________________________________________
1A Committee of IIT Directors was setup in the 152nd Meeting of IIT Directors on 6th September 2015 at IIT Patna,
on how to motivate undergraduate students at IITs towards studies, and to develop verbal ability. The Committee
submitted its report on 19th January 2016. It was considered at the 153rd Meeting of all IIT Directors at IIT Mandi
on 26 March 2016, and the accepted report came out on 31 March 2016. The Induction Program was an important
recommendation, and its pilot was implemented by three IITs, namely, IIT(BHU), IIT Mandi and IIT Patna in July 2016.
At the 50th meeting of the Council of IITs on 23 August 2016, recommendation on the Induction Program and the
report of its pilot implementation were discussed and the program was accepted for all IITs.
210
2. Induction Program
When new students enter an institution, they come with diverse thoughts, backgrounds and
preparations. It is important to help them adjust to the new environment and inculcate in them
the ethos of the institution with a sense of larger purpose. Precious little is done by most of the
institutions, except for an orientation program lasting a couple of days.
We propose a 3-week long induction program for the UG students entering the institution, right
at the start. Normal classes start only after the induction program is over. Its purpose is to make
the students feel comfortable in their new environment, open them up, set a healthy daily
routine, create bonding in the batch as well as between faculty and students, develop
awareness, sensitivity and understanding of the self, people around them, society at large, and
nature.2
The time during the Induction Program is also used to rectify some critical lacunas, for example,
English background, for those students who have deficiency in it.
The following are the activities under the induction program in which the student would be
fully engaged throughout the day for the entire duration of the program.
_____________________________________________________________________________________________________
2Induction Program as described here borrows from three programs running earlier at different institutions: (1)
Foundation Program running at IIT Gandhinagar since July 2011, (2) Human Values course running at IIIT
Hyderabad since July 2005, and (3) Counselling Service or mentorship running at several IITs for many decades.
Contribution of each one is described next.
IIT Gandhinagar was the first IIT to recognize and implement a special 5-week Foundation Program for the incoming
1st year UG students. It took a bold step that the normal classes would start only after the five week period. It involved
activities such as games, art, etc., and also science and other creative workshops and lectures by resource persons
from outside.
IIIT Hyderabad was the first one to implement a compulsory course on Human Values. Under it, classes were held by
faculty through discussions in small groups of students, rather than in lecture mode. Moreover, faculty from all
departments got involved in conducting the group discussions under the course. The content is non-sectarian, and the
mode is dialogical rather than sermonising or lecturing. Faculty were trained beforehand, to conduct these
discussions and to guide students on issues of life.
Counselling at some of the IITs involves setting up mentor-mentee network under which 1st year students would be
divided into small groups, each assigned a senior student as a student guide, and a faculty member as a mentor. Thus,
a new student gets connected to a faculty member as well as a senior student, to whom he/she could go to in case of
any difficulty whether psychological, financial, academic, or otherwise.
The Induction Program defined here amalgamates all the three into an integrated whole, which leads to its high
effectiveness in terms of building physical activity, creativity, bonding, and character. It develops sensitivity towards
self and one’s relationships, builds awareness about others and society beyond the individual, and also in bonding
with their own batch-mates and a senior student besides a faculty member.
Scaling up the above amalgamation to an intake batch of 1000 plus students was done at IIT(BHU), Varanasi starting
from July 2016.
211
2.1. Physical Activity

This would involve a daily routine of physical activity with games and sports. It would start
with all students coming to the field at 6 am for light physical exercise or yoga. There would
also be games in the evening or at other suitable times according to the local climate. These
would help develop team work. Each student should pick one game and learn it for three weeks.
There could also be gardening or other suitably designed activity where labour yields fruits
from nature.
2.2. Creative Arts

Every student would choose one skill related to the arts whether visual arts or performing arts.
Examples are painting, sculpture, pottery, music, dance etc. The student would pursue it every
day for the duration of the program.
These would allow for creative expression. It would develop a sense of aesthetics and also
enhance creativity which would, hopefully, flow into engineering design later.
2.3. Universal Human Values

It gets the student to explore oneself and allows one to experience the joy of learning, stand up
to peer pressure, take decisions with courage, be aware of relationships with colleagues and
supporting staff in the hostel and department, be sensitive to others, etc. Need for character
building has been underlined earlier. A module in Universal Human Values provides the base.
Methodology of teaching this content is extremely important. It must not be through do’s and
don’ts, but get students to explore and think by engaging them in a dialogue. It is best taught
through group discussions and real life activities rather than lecturing. The role of group
discussions, however, with clarity of thought of the teachers cannot be over emphasized. It is
essential for giving exposure, guiding thoughts, and realizing values.
The teachers must come from all the departments rather than only one department like HSS or
from outside of the Institute. Experiments in this direction at IIT(BHU) are noteworthy and one
can learn from them.3
Discussions would be conducted in small groups of about 20 students with a faculty mentor
each. It is to open thinking towards the self. Universal Human Values discussions could even
continue for rest of the semester as a normal course, and not stop with the induction program.
Besides drawing the attention of the student to larger issues of life, it would build relationships
between teachers and students which last for their entire 4-year stay and possibly beyond.
_____________________________________________________________________________________________________
3The Universal Human Values Course is a result of a long series of experiments at educational institutes starting from
IIT-Delhi and IIT Kanpur in the 1980s and 1990s as an elective course, NIT Raipur in late 1990s as a compulsory one-
week off campus program. The courses at IIT(BHU) which started from July 2014, are taken and developed from two
compulsory courses at IIIT Hyderabad first introduced in July 2005.
212
2.4. Literary
Literary activity would encompass reading, writing and possibly, debating, enacting a play etc.
2.5. Proficiency Modules

This period can be used to overcome some critical lacunas that students might have, for
example, English, computer familiarity etc. These should run like crash courses, so that when
normal courses start after the induction program, the student has overcome the lacunas
substantially. We hope that problems arising due to lack of English skills, wherein students
start lagging behind or failing in several subjects, for no fault of theirs, would, hopefully, become
a thing of the past.
2.6. Lectures by Eminent People

This period can be utilized for lectures by eminent people, say, once a week. It would give the
students exposure to people who are socially active or in public life.
2.7. Visits to Local Area

A couple of visits to the landmarks of the city, or a hospital or orphanage could be organized.
This would familiarize them with the area as well as expose them to the under privileged.
2.8. Familiarization to Dept./Branch & Innovations

The students should be told about different method of study compared to coaching that is
needed at IITs. They should be told about what getting into a branch or department means what
role it plays in society, through its technology. They should also be shown the laboratories,
workshops & other facilities.
3. Schedule
The activities during the Induction Program would have an Initial Phase, a Regular Phase and
a Closing Phase. The Initial and Closing Phases would be two days each.
3.1. Initial Phase
Day Time Activity

Students Arrive – Hostel Allotment
Day 0 Whole Day
(Preferably do pre-allotment)
09:00 AM – 03:00 PM Academic Registration
Day 1
04:30 PM – 06:00 PM Orientation
09:00 AM – 10:00 AM Diagnostic test (for English etc.)
10:00 AM – 12:25 PM Visit to respective depts.
12:30 PM – 01:55 PM Lunch
Day 2 02:00 PM – 02:55 PM Director’s address
03:00 PM – 03:30 PM Interaction with parents
Mentor-Mentee Groups - Introduction within
03:30 PM – 05:00 PM
group. (Same as Universal Human Values Group)
3.2. Regular Phase

After two days is the start of the Regular Phase of Induction. With this phase there would be
regular program to be followed every day.
213
3.2.1. Daily Schedule

Some of the activities are on a daily basis, while some others are at specified periods within the
Induction Program. We first show a typical daily timetable.
DAY 3 Onwards
Session Time Activity Remarks
06:00 AM Wake up Call
Physical Activity
I 06:30 AM – 07:10 AM
(Mild Exercise / Yoga)
07:15 AM – 08:55 AM Bath, Breakfast etc.
Creative Arts / Universal Human Half the groups
II 09:10 AM – 10:55 AM
Values do creative arts
Complementary
Creative Arts / Universal Human
III 11:00 AM – 12:55 PM Alternate
Values
Groups
01:00 PM – 02:25 PM Lunch
IV 02:30 PM – 03:55 PM Afternoon Session See below
V 04:00 PM – 05:00 PM Afternoon Session See below
05:00 PM – 05:25 PM Break / Light Tea
VI 05:30 PM – 06:45 PM Games / Special Lectures
06:50 PM – 08:25 PM Rest and Dinner
Informal Interactions
VII 08:30 PM – 09:25 PM
(In hostels)
Sundays are off. Saturdays have the same schedule as above or have outings.
3.2.2. Afternoon Activities (Non-Daily)

The following five activities are scheduled at different times of the Induction Program, and are
not held daily for everyone:
1. Familiarization to Dept./Branch & Innovations
2. Visits to Local Area
3. Lectures by Eminent People
4. Literary
5. Proficiency Modules
Here is the approximate activity schedule for the afternoons (may be changed to suit local
needs):
Session Activity Remarks

Familiarization with
For 3 Days
IV Dept./Branch &
(Day 3 to Day 5)
Innovations
For 3 Days – interspersed
IV, V and VI Visit to Local Area
(e.g. Saturdays)
Lectures by Eminent
IV As scheduled 3-5 lectures
People
214
Literary (Play / Literature

IV For 3-5 Days
/ Book Reading)
Daily, but only for those
V Proficiency Modules
who need it.
3.3. Closing Phase
Day Time Activity

08:30 AM – 12:00 Discussions and finalization of presentation
Last But PM within each group
One Day Presentation by each group in front of 4 other
02:00 AM -05:00 PM
groups besides their own (about 100 students)
Examinations (if any). May be extended to last 2
Last Day Whole Day
days, in case needed.
3.4. Follow Up after Closure
A question comes up as to what would be the follow up program after the formal 3-week
Induction Program is over? The groups which are formed should function as mentor- mentee
network. A student should feel free to approach his faculty mentor or the student guide, when
facing any kind of problem, whether academic or financial or psychological etc. (For every 10
undergraduate first year students, there would be a senior student as a student guide, and for
every 20 students, there would be a faculty mentor.) Such a group should remain for the entire
4-5-year duration of the stay of the student. Therefore, it would be good to have groups with
the students as well as teachers from the same department/discipline4.
Here we list some important suggestions which have come up and which have been
experimented with:
3.4.1. Follow Up after Closure – Same Semester

It is suggested that the groups meet with their faculty mentors once a month, within the
semester after the 3-week Induction Program is over. This should be a scheduled meeting
shown in the timetable. (The groups are of course free to meet together on their own more
often, for the student groups to be invited to their faculty mentor’s home for dinner or tea,
nature walk, etc.)
3.4.2. Follow Up – Subsequent Semesters

It is extremely important that continuity be maintained in subsequent semesters.
It is suggested that at the start of the subsequent semesters (up to fourth semester), three days
be set aside for three full days of activities related to follow up to Induction Program. The
students be shown inspiring films, do collective art work, and group discussions be conducted.
Subsequently, the groups should meet at least once a month.
4. Summary
Engineering institutions were set up to generate well trained manpower in engineering with a
feeling of responsibility towards oneself, one’s family, and society. The incoming
undergraduate students are driven by their parents and society to join engineering without
215
understanding their own interests and talents. As a result, most students fail to link up with the
goals of their own institution.
The graduating student must have values as a human being, and knowledge and meta- skills
related to his/her profession as an engineer and as a citizen. Most students who get
demotivated to study engineering or their branch, also lose interest in learning.
The Induction Program is designed to make the newly joined students feel comfortable,
sensitize them towards exploring their academic interests and activities, reducing competition
and making them work for excellence, promote bonding within them, build relations between
teachers and students, give a broader view of life, and building of character.
The Universal Human Values component, which acts as an anchor, develops awareness and
sensitivity, feeling of equality, compassion and oneness, draw attention to society and nature,
and character to follow through. It also makes them reflect on their relationship with their
families and extended family in the college (with hostel staff and others). It also connects
students with each other and with teachers so that they can share any difficulty they might be
facing and seek help.
References:
Motivating UG Students Towards Studies, Rajeev Sangal, IITBHU Varanasi, Gautam Biswas, IIT
Guwahati, Timothy Gonsalves, IIT Mandi, Pushpak Bhattacharya, IIT Patna, (Committee of IIT
Directors).
31 March 2016, IIT Directors’ Secretariat, IIT Delhi.
Contact: Prof. Rajeev Sangal, Director, IIT(BHU), Varanasi (director@iitbhu.ac.in).
*****
216
217
Nelson Mandela Marg, Vasant Kunj, New Delhi 110070
www.aicte-india.org
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Model Curriculum for UG Degree Course in

Robotics and Artificial Intelligence Engineering

ALL INDIA COUNCIL FOR TECHNICAL EDUCATION

Model Curriculum for

ALL INDIA COUNCIL FOR TECHNICAL EDUCATION

(Dr. Ramesh Unnikrishnan)

Committee for Model Curriculum

1 General Course Structure & Theme 1 10

2 Semester Wise Structure 11 19

7 Semester V 112 133

8 Semester VI 134 157

9 Semester VII 158 183

10 Semester VIII 184 207

11 Appendix 1- A Guide to Induction 208 217

GENERAL COURSE STRUCTURE

GENERAL COURSE STRUCTURE & THEME

TOTAL = 160 credits

D. Course code and definition:

Course code Definitions

HUMANITIES & SOCIAL SCIENCES COURSES [HS] & MANAGEMENT COURSES

BASIC SCIENCE COURSES [BSC] (Total 7)

ENGINEERING SCIENCE COURSES [ESC] (Total 7)

2 ESC ESC-102 Engineering Graphics and I 1 0 4 3

PROFESSIONAL CORE COURSES [PCC] (Total 26)

2 PCC PCC RAI-302 Fundamentals of Materials 2 0 0 2

PROFESSIONAL ELECTIVE COURSES [PEC]

S. Category Code Course Title Hours per week Credits

OPEN ELECTIVE COURSES [OEC]

S. Category Code Course Title Hours per week Credits

4 OEC OEC RAI-704 Elective Course-II Control of 2 0 0 2

ENGINEERING PROJECT (4 Stages)

LABORATORY COURSES [LC] (Total 18)

9 LC LC RAI-503 Artificial Intelligence Laboratory 0 0 2 1

AUDIT COURSES [AU] (Total 4)

Induction program for students • Physical activity

E. Mandatory Visits/ Workshop/Expert Lectures:

b. It is mandatory to conduct a One-week workshop during the winter break after

F. Evaluation Scheme (Suggestive only):

b. For Practical Courses:

c. For Summer Internship / Projects / Seminar etc.

G. Mapping of Marks to Grades

Range of Assigned Grade

Semester wise Structure and

Sl. Category Course Course Title Hours per week Credits

Sl. Category Course Course Title Hours per week Credits

Sr. No. Course Code Course Specialization / Track Elective Course -I

2 PEC RAI-602 AI Data Analytics

3 PEC RAI-603 Mechatronics Intelligent Manufacturing

4 PEC RAI-604 Control Systems Microcontrollers Architecture and

Sr. No. Course Code Course Elective Course -II

2 OEC RAI-702 AI Deep Learning

3 OEC RAI-703 Mechatronics Mechatronics System Design

4 OEC RAI-704 Control Systems Control of Robotic Systems

Sr. Course Code Course Elective Course -III

1 PEC RAI-801 Robotics Advanced Robotics Programming

2 PEC RAI-802 AI Advanced Artificial Intelligence

3 PEC RAI-803 Mechatronics Micro Electro Mechanical Systems

4 PEC RAI-804 Control Systems Advanced Control System

Sr. Course Code Course Elective Course IV