Counselling Code: 2734
design thinking
course curriculum framework
Institutional courses
dt courses
- design thinking
- life skill development
- communicative english
- professional communication
- personality development
- foreign languages
- global business ethics and law
- verbal/quantitative aptitude/reasoning
- essence of global culture
program
dt courses
- emerging mooc courses
- 2 coding languages
- 2 department specific tools
- basic SCIENCE courses
- engineering science COURSES
- PROGRAM elective courses
- OPEN elective courses
career
dt courses
- mini projects
- internships
- industrial training
- industrial projects
- students exchange programme
- capstone project
- 4 career tracks
non-academic
dt courses
- weekend online practice
- coding
- subject domain specific
- vqar
- innovative technologies/tools
- extra curricular activities
- yoga/ meditation/ reading/ club activities/ sports/ top contest PARTICIPATION
Basic Pr-requisites
|
Pre-requisite - Mandatory Courses |
|||||
|
Course Code |
Course Name |
Contact hrs/week |
Credit |
Int/Ext |
Category |
|
|
Induction program |
3 Weeks |
0 |
100/0 |
MC-I |
|
Semester |
HSMC |
BSC |
ESC |
PCC |
PEC |
OEC |
PR |
EEC |
MC |
Total |
|
|
3 |
8 |
10 |
|
|
|
|
|
0 |
21 |
|
|
2 |
8 |
10 |
|
|
|
1 |
|
0 |
21 |
|
|
|
4 |
2 |
14 |
|
|
1 |
4 |
|
25 |
|
|
2 |
4 |
|
16 |
2 |
|
|
2 |
|
26 |
|
|
|
|
|
17 |
3 |
|
1 |
4+2* |
|
25+2* |
|
|
|
|
|
7 |
5 |
3 |
|
2 |
0 |
17 |
|
|
2 |
|
|
5 |
3 |
2 |
2* |
0 |
13+2* |
|
|
|
|
|
|
|
|
2 |
12 |
|
|
14 |
|
TOTAL |
8 |
26 |
22 |
54 |
15 |
8 |
17 |
12+4* |
0 |
168 |
|
Category |
Breakup of Credits |
|
|
HSMC |
Humanities & Social Science Including Management |
8 |
|
BSC |
Basic Science Courses |
26 |
|
ESC |
Engineering Science Courses |
22 |
|
PCC |
Professional Core Courses |
54 |
|
PEC |
Professional Elective Courses |
15 |
|
OEC |
Open Elective Courses |
8 |
|
PR |
Project |
17 |
|
EEC |
Employment Enhancement Courses |
16 |
|
MC |
Mandatory Courses |
0 |
|
Total Credits |
166 |
|
|
SEMESTER I B. TECH-Artificial Intelligence & Data Science |
||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int/Ext |
Category |
|
Theory Courses |
||||||||||
|
1. |
|
Basic Civil and Mechanical Engineering |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
ESC |
|
2. |
|
Engineering Mathematics-I |
4 |
0 |
0 |
0 |
4 |
4 |
50/50 |
BSC |
|
3. |
|
Engineering Physics |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
BSC |
|
4. |
|
Communicative English |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
HSMC |
|
Practical Courses |
||||||||||
|
5. |
|
Engineering Physics Lab |
0 |
0 |
2 |
0 |
2 |
1 |
50/50 |
BSC |
|
6. |
|
Engineering Graphics |
1 |
0 |
4 |
0 |
5 |
3 |
50/50 |
ESC |
|
7. |
|
Design Thinking and Innovation |
2 |
0 |
0 |
4 |
6 |
4 |
50/50 |
ESC |
|
Total |
16 |
0 |
6 |
4 |
26 |
21 |
|
|
||
|
SEMESTER II B. TECH-Artificial Intelligence & Data Science |
|||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int/Ext |
Category |
|
|
Theory Courses |
|||||||||||
|
|
|
Programming for Problem Solving |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
ESC |
|
|
|
|
Basics of Electrical and Electronics Engineering |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
ESC |
|
|
|
|
Professional Communication |
2 |
0 |
0 |
0 |
2 |
2 |
50/50 |
HSMC |
|
|
|
|
Engineering Mathematics-II |
4 |
0 |
0 |
0 |
4 |
4 |
50/50 |
BSC |
|
|
|
|
Engineering Chemistry |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
BSC |
|
|
Practical Courses |
|||||||||||
|
|
|
Programming for Problem Solving Lab |
0 |
0 |
4 |
0 |
4 |
2 |
50/50 |
ESC |
|
|
|
|
Engineering Chemistry Lab |
0 |
0 |
2 |
0 |
2 |
1 |
50/50 |
BSC |
|
|
|
|
Workshop Practices |
0 |
0 |
4 |
0 |
4 |
2 |
50/50 |
ESC |
|
|
|
|
Mini Project |
5 Days |
1 |
100/0 |
PROJ |
|||||
|
Mandatory Course (Credit will not be considered for CGPA) * |
|||||||||||
|
10 |
|
Environmental Science |
2 |
0 |
0 |
0 |
2 |
0 |
100/0 |
MC-II |
|
|
Total |
15 |
0 |
10 |
0 |
27 |
21 |
|
|
|||
|
SEMESTER III B. TECH-Artificial Intelligence & Data Science |
||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int/Ext |
Category |
|
Theory Courses |
||||||||||
|
|
|
Transforms and Partial Differential Equations |
3 |
1 |
0 |
0 |
4 |
3 |
50/50 |
BSC |
|
|
|
Computer Organization and Architecture |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
|
|
|
Software Engineering |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
|
|
|
Personality Development |
2 |
0 |
0 |
0 |
2 |
2 |
50/50 |
EEC |
|
|
|
Quantitative Aptitude and Reasoning |
2 |
0 |
0 |
0 |
2 |
2 |
50/50 |
EEC |
|
Theory Integrated Practical Courses |
||||||||||
|
|
|
Data Structures and Algorithms |
3 |
0 |
2 |
0 |
4 |
4 |
60/40 |
PCC |
|
|
|
Digital Principles and System Designs |
3 |
0 |
2 |
0 |
4 |
4 |
60/40 |
PCC |
|
Practical Courses |
||||||||||
|
|
|
Mini Project-II |
5 days |
1 |
100/0 |
PROJ |
||||
|
|
|
Python Programming |
0 |
0 |
4 |
0 |
4 |
2 |
50/50 |
ESC |
|
Total |
20 |
1 |
12 |
0 |
26 |
25 |
|
|
||
|
SEMESTER IV B. TECH-Artificial Intelligence & Data Science |
|||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int / Ext |
Category |
|
|
Theory Courses |
|||||||||||
|
|
|
Probability and Queuing Theory |
3 |
1 |
0 |
0 |
4 |
4 |
50/50 |
BSC |
|
|
|
|
Database Management Systems |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
|
|
|
|
Computer Networks |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
|
|
|
|
Language (Hindi/German/Japanese) (MOOC/Self Learning) |
2 |
0 |
0 |
0 |
2 |
2 |
50/50 |
HSMC |
|
|
|
|
Verbal and Reasoning |
2 |
0 |
0 |
0 |
2 |
2 |
50/50 |
EEC |
|
|
Theory Integrated Practical Courses |
|||||||||||
|
|
|
Operating Systems |
3 |
0 |
2 |
0 |
5 |
4 |
60/40 |
PCC |
|
|
|
|
Micro Processors and Micro Controllers |
3 |
0 |
2 |
0 |
5 |
4 |
60/40 |
PCC |
|
|
|
|
Professional Elective-I (MOOC/Self learning/ Course) |
1 |
0 |
2 |
0 |
3 |
2 |
60/40 |
PEC |
|
|
Practical Courses |
|||||||||||
|
|
|
Database Management Tool |
0 |
0 |
4 |
0 |
4 |
2 |
50/50 |
PCC |
|
|
Total |
20 |
1 |
10 |
0 |
31 |
26 |
|
|
|||
|
Summer Internship |
||||||
|
10 |
|
Internship/Industrial Training |
3 Weeks |
2 |
100/0 |
EEC |
|
|
SEMESTER V B. TECH-Artificial Intelligence & Data Science |
|||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int/Ext |
Category |
|
|
Theory Courses |
|||||||||||
|
|
|
Discrete Mathematics and Statistics |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
|
|
|
|
Data Mining and Data Warehousing |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
|
|
|
|
Tools & Techniques in Data Science |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
|
|
|
|
Career Courses-1 |
1 |
0 |
2 |
0 |
3 |
2 |
50/50 |
EEC |
|
|
|
|
Career Courses-2 |
1 |
0 |
2 |
0 |
3 |
2 |
50/50 |
EEC |
|
|
|
|
Professional Elective-II |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PEC |
|
|
Theory Integrated Practical Courses |
|||||||||||
|
|
|
Artificial Intelligence |
3 |
0 |
2 |
0 |
5 |
4 |
60/40 |
PCC |
|
|
Practical Courses |
|||||||||||
|
|
|
Mini Project-III |
I Week |
1 |
100/0 |
PROJ |
|||||
|
|
|
CASE Tools (Tool) |
0 |
0 |
4 |
0 |
4 |
2 |
50/50 |
PCC |
|
|
|
|
Robotic Process Automation |
1 |
0 |
2 |
0 |
3 |
2 |
50/50 |
PCC |
|
|
Total |
18 |
0 |
16 |
0 |
33 |
25+2* |
|
|
|||
|
SEMESTER VI B. TECH-Artificial Intelligence & Data Science |
||||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int/Ext |
Category |
||
|
Theory Courses |
||||||||||||
|
|
|
Professional Elective-III |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PEC |
||
|
|
|
Neural Networks |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PCC |
||
|
|
|
Open Elective – I |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
OEC |
||
|
|
|
Career Course – III |
2 |
0 |
0 |
0 |
2 |
2 |
50/50 |
EEC |
||
|
Theory Integrated Practical Courses |
||||||||||||
|
|
|
Data Analytics Machine Learning |
3 |
0 |
2 |
0 |
5 |
4 |
50/60 |
PCC |
||
|
Practical Courses |
||||||||||||
|
|
|
Professional Elective-IV |
1 |
0 |
2 |
0 |
3 |
2 |
50/50 |
PEC |
||
|
Mandatory Course (Credits will not be considered for CGPA) * |
||||||||||||
|
7 |
|
Global Culture |
2 |
0 |
0 |
0 |
2 |
0 |
100/0 |
MC |
||
|
Total |
20 |
0 |
4 |
0 |
23 |
17 |
|
|
||||
|
Summer Internship |
||||||
|
8 |
|
Internship/Industrial Training |
2 Weeks |
2 |
100/0 |
EEC |
|
|
SEMESTER VII B. TECH-Artificial Intelligence & Data Science |
|||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int/ Ext |
Category |
|
|
Theory Courses |
|||||||||||
|
|
|
Biology for Engineers |
2 |
0 |
0 |
0 |
2 |
2 |
50/50 |
BSC |
|
|
|
|
Open Elective – II |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
OEC |
|
|
|
|
Global Business Ethics & Law (Value education, Work Culture) |
1 |
0 |
0 |
0 |
1 |
1 |
50/50 |
HSMC |
|
|
|
|
Professional Elective-V |
3 |
0 |
0 |
0 |
3 |
3 |
50/50 |
PEC |
|
|
Practical courses |
|||||||||||
|
|
|
Project Phase 1 |
0 |
0 |
0 |
4 |
4 |
2 |
50/50 |
PROJ |
|
|
|
|
Professional Elective-VI |
1 |
0 |
2 |
0 |
2 |
2 |
50/50 |
PEC |
|
|
Mandatory Course (Credits will not be considered for CGPA) * |
|||||||||||
|
7 |
|
Indian Constitution |
2 |
0 |
0 |
0 |
2 |
0 |
100/0 |
MC |
|
|
Total |
12 |
0 |
2 |
4 |
18 |
13+2* |
|
|
|||
|
SEMESTER VIII B. TECH-Artificial Intelligence & Data Science |
||||||||||
|
S No. |
Course Code |
Course |
L |
T |
P |
J |
Contact hrs/week |
Credit |
Int/ Ext |
Category |
|
1. |
20OEXXX |
Open Elective – III |
1 |
0 |
2 |
0 |
3 |
2 |
50/50 |
OEC |
|
Practical courses |
||||||||||
|
2. |
|
Project Phase – II / Capstone project |
0 |
0 |
0 |
24 |
24 |
12 |
50/50 |
PROJ |
|
Total |
1 |
0 |
2 |
24 |
27 |
14 |
|
|
||
|
|
|
|
|
|
|
|
|
|
||
|
Professional Elective |
||||||||
|
S.No. |
Course Code |
Course Name |
L |
T |
P |
C |
Contact Hours |
Credits |
|
Professional Elective-1 |
||||||||
|
1 |
|
Basics of Web Development & Coding |
3 |
0 |
0 |
0 |
3 |
3 |
|
2 |
|
Web Design: Wireframes to Prototypes |
3 |
0 |
0 |
0 |
3 |
3 |
|
3 |
|
Web Data Access: Python |
3 |
0 |
0 |
0 |
3 |
3 |
|
4 |
|
Full Stack Web and Mobile App Development |
3 |
0 |
0 |
0 |
3 |
3 |
|
5 |
|
Responsive Website Development and Design |
3 |
0 |
0 |
0 |
3 |
3 |
|
6 |
|
Front-End Web UI Frameworks and Tools: Bootstrap 4 |
3 |
0 |
0 |
0 |
3 |
3 |
|
Professional Elective-2 |
||||||||
|
1 |
|
Game Programming |
3 |
0 |
0 |
0 |
3 |
3 |
|
2 |
|
Mobile Communication |
3 |
0 |
0 |
0 |
3 |
3 |
|
3 |
|
Software Testing |
3 |
0 |
0 |
0 |
3 |
3 |
|
4 |
|
Data and Information Security |
3 |
0 |
0 |
0 |
3 |
3 |
|
5 |
|
Total Quality Management |
3 |
0 |
0 |
0 |
3 |
3 |
|
6 |
|
Reinforcement Learning |
3 |
0 |
0 |
0 |
3 |
3 |
|
Professional Elective-3 |
||||||||
|
1 |
|
AI based Game Development |
3 |
0 |
0 |
0 |
3 |
3 |
|
2 |
|
Grid and Cloud Computing |
3 |
0 |
0 |
0 |
3 |
3 |
|
3 |
|
Software Quality Assurance |
3 |
0 |
0 |
0 |
3 |
3 |
|
4 |
|
Block chain |
3 |
0 |
0 |
0 |
3 |
3 |
|
5 |
|
Professional Ethics |
3 |
0 |
0 |
0 |
3 |
3 |
|
6 |
|
Deep Learning |
3 |
0 |
0 |
0 |
3 |
3 |
|
Professional Elective-4 |
||||||||
|
1 |
|
Real Time Data Streaming |
3 |
0 |
0 |
0 |
3 |
3 |
|
2 |
|
Multimedia Mining |
3 |
0 |
0 |
0 |
3 |
3 |
|
3 |
|
Social Network Analysis |
3 |
0 |
0 |
0 |
3 |
3 |
|
4 |
|
Information Retrieval Techniques |
3 |
0 |
0 |
0 |
3 |
3 |
|
5 |
|
Pattern Recognition |
3 |
0 |
0 |
0 |
3 |
3 |
|
Professional Elective-5 |
||||||||
|
1 |
|
Human Computer Interaction |
3 |
0 |
0 |
0 |
3 |
3 |
|
2 |
|
Green Computing |
3 |
0 |
0 |
0 |
3 |
3 |
|
3 |
|
Software Project Management |
3 |
0 |
0 |
0 |
3 |
3 |
|
4 |
|
Ethical Hacking and Cyber Security |
3 |
0 |
0 |
0 |
3 |
3 |
|
5 |
|
Human Rights |
3 |
0 |
0 |
0 |
3 |
3 |
|
6 |
|
Data Visualization and Presentation |
3 |
0 |
0 |
0 |
3 |
3 |
|
Professional Elective-6 |
||||||||
|
1 |
|
IOT Security |
3 |
0 |
0 |
0 |
3 |
3 |
|
2 |
|
IOT Semantics& Protocols |
3 |
0 |
0 |
0 |
3 |
3 |
|
3 |
|
IOT Architecture |
3 |
0 |
0 |
0 |
3 |
3 |
|
4 |
|
IOT Communication |
3 |
0 |
0 |
0 |
3 |
3 |
|
5 |
|
IOT Business Model |
3 |
0 |
0 |
0 |
3 |
3 |
|
6 |
|
IOT & Machine Learning |
3 |
0 |
0 |
0 |
3 |
3 |
|
Mandatory Courses |
||||||||
|
S. No |
Course Code |
Course Name |
L |
T |
P |
C |
Contact Hours |
Credits |
|
1 |
20MC001 |
Induction program |
3 Weeks |
0 |
||||
|
2 |
20MC002 |
Environmental Science |
2 |
0 |
0 |
0 |
2 |
0 |
|
3 |
20MC003 |
Global Culture |
2 |
0 |
0 |
0 |
2 |
0 |
|
4 |
20MC004 |
Indian Constitution |
2 |
0 |
0 |
0 |
2 |
0 |