M.Tech - AI

Programme structure

Overall Structure of the Program

  • Specialization Core (20/22 credits):
    • CSE Core 14 credits  + at least 2 courses from Appendix A (i.e list of AI program core courses.
  • Elective Course credits (11 or more credits)
    • Specialization electives: At least 3 other courses from Appendix B (i.e.  list of AI program electives.
    • Department/Open Elective: One additional course i.e. 3/4 additional credits (any PG elective course). Even non-CSE PG course can be considered but with due approval from CSE RPEC and CSE HoD.
  • MTech Project (30 credits) :
    • One can register for the MTech project component only after successfully completing at least 21 course credits
    • MTech Project: Student interested in obtaining this specialization must undertake a MTech project in the area of Artificial Intelligence (or its allied areas, refer item 14)

Students will  be encouraged to take up interdisciplinary projects for fulfilling their MTP requirements. Relevance of this project with the theme of specialization would be decided by the steering committee of this specialization.

  • For the summer short semester, registration in non credited summer project or doing internship in an Industry is a mandatory component for the degree completion.

Max number of credits one can register in a semester = 24 

Semester I

Sno

Course No

Course Title

L-T-P-S-C

Credits

1

CS506

Data Structures and Algorithms

3-1-2-6-4

4

2

CS526

Mathematics for Computer Science

3-1-0-5-3

3

3

CS527

Computer Systems

3-0-2-7-4

4

4

CS509

PG Software Lab

0-0-6-6-3

3 or 4

5

XXXXX

Elective I

------

3 or 4

Semester II

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CSXXX

AI Program core I

------

3 or 4

2

CSXXX

AI Program core II

------

3 or 4

3

CSXXX

Elective II

------

3 or 4

4

CSXXX

Elective III

------

3

5

XXXXX

Elective IV

------

3 or 4

6

CS500

PG Seminar in Compute Science

-----

0 (S/U)

Semester III

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CS551

Colloquium Series

-----

 0 (S/U)

2

CS699

PROJECT-I

0-0-28-14-14

14

Semester IV

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CS555

PG Seminar-2 (Topics specific to one’s research project)

-----

0 (S/U)

2

CS799

Project-2

0-0-32-16-16

16

 

Area of Research for Internship/ Project :

 

Core topics in Artificial Intelligence (AI), Machine Learning (ML) and Data Mining (DM). Applications of AI/ML/DM in areas such as Internet of Things, Computer Vision and Image processing are also included.

Appendix A- List of AI Program Core

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CS503

Machine Learning

3-0-2-7-4

4

2

CS512

Artificial Intelligence

3-0-2-7-4

4

3

CS521

Fundamentals of Data Sciences

2-0-2-5-3

3

4

CS524

Data Mining

3-0-0-6-3

3

5

CS504

Artificial Neural Networks (Deep Learning)

3-0-0-6-3

3

Appendix B- List of AI Program Electives (at least 3 other courses from this list)

S.no

Course No

Course Title

L-T-P-S-C

Credits

1

CS503

Machine Learning

3-0-2-7-4

4

2

CS504

Artificial Neural Networks

3-0-0-6-3

3

3

CS507

Multimedia System

2-0-2-5-3

3

4

CS512

Artificial Intelligence

3-0-2-7-4

4

5

CS512

Artificial Intelligence

3-0-2-7-4

4

6

CS517

Digital Image Processing and Analysis

2-1-2-4-3

3

7

CS518

Computer Vision

2-0-2-5-3

3

8

CS521

Fundamentals of Data Science

2-0-2-5-3

3

9

CS522

Social Computing and Networks

2-0-2-5-3

3

10

CS524

Data Mining

3-0-0-6-3

3

11

CS530

Autonomous MultiAgent Systems

2-0-2-5-3

3

12

CS532

Security Analytics

2-0-2-5-3

3

13

CS533

Reinforcement Learning

2-0-2-5-3

3

14

CS535

Introduction To Game Theory And Mechanism Design

3-1-0-5-3

3

15

CS539

Internet of Things

3-0-0-6-3

3

16

CS545

Computer Graphics Lab

0-0-2-1-1

1

17

CS612

Advanced Machine Learning

2-0-2-5-3

3

18

CS615

Biomedical Image Processing & Analysis

2-0-2-5-3

3

19

CS616

Advanced Computer Vision

2-0-2-5-3

3

20

CS617

Affective Computing and Interaction

2-0-2-5-3

3

21

CS621

Probabilistic Graphical Models

3-0-0-6-3

3

22

CS623

Multimedia Surveillance Systems

2-0-2-5-3

3

23

CS720

Advanced Spatial Computing

3-0-0-6-3

3

24

CS724

Advanced Data Mining

2-0-2-5-3

3