Email: admissions@sreenidhiuniversity.edu.in

Yamnampet, Ghatkesar Hyderabad - 501 301

CSE - (AI & ML) Course Structure

Course Structure of M. Tech. Computer Science and Engineering (Artificial Intelligence)
Semester -I

Sr. No.

 

Course Name

Teaching Schedule

Credit

Marks

L

T

P

CIE

SEE

1

 

Artificial Intelligence and

Intelligent Systems

4

4

60

40

2

 

Machine Learning

4

4

60

40

3

 

Natural Language Processing

4

4

60

40

4

 

Programme Elective-I

4

4

60

40

5

 

Programme Elective-II

4

4

60

40

7

 

Audit course in Communication skills and soft skills

2

8

 

AI-based Programming Lab

2

1

60

40

9

 

ML Lab

2

1

60

40

10

 

Technical Seminar

 

2

1

60

40

  

Comprehensive Viva – voce

1

100

 

Total

22

6

23

520

280

Programme Elective – I&II: List of Programme Electives is given in the Annexure.

Semester - II

Sr. No.

Course Name

Teaching Schedule

Credit

Marks

L

T

P

CIE

SEE

1

Deep Learning

4

0

0

4

60

40

2

Big Data Analytics

4

0

0

4

60

40

3

Speech Information Processing

4

0

0

4

60

40

4

Programme Elective-III

4

0

0

4

60

40

5

Programme Elective-IV

4

0

0

4

60

40

6

Deep Learning and Data Analytics Lab

0

0

2

1

60

40

7

Big Data Lab

2

1

60

40

8

Technical Seminar

 

2

1

60

40

9

Comprehensive Viva – Voce

1

100

 

Total

20

0

6

24

580

320

Programme Elective – III & IV:   List of Programme Electives is given in the Annexure. 

Semester - III

Sr. No.

Course No.

Course Name

L

T

P

Credit

Marks

 CIE

SEE

1

CS-800

M.Tech. Dissertation

9

10

120

80

  

Total

 

 

9

10

120

80

Semester - IV

Sr. No.

Course No.

Course Name

L

T

P

Credit

Marks

 CIE 

SEE

1

CS-800

M.Tech. Dissertation

9

10

120

80

  

Comprehensive Viva voce

1

100

  

Total

 

 

9

11

220

80

Total Credit of the Programme = 84

Annexure
List of Programme Electives

Programme Elective-I

Cognitive Systems
Neural Network and Fuzzy Logic
Game Theory and Applications
Data Mining

Programme Elective-II

Probabilistic Graphical Models
Digital Image Processing
Information Retrieval
Machine Translation

Programme Elective-III

Computer Vision
Network Science and Modelling
Spatial and Temporal Computing
Evolutionary Computing

Programme Elective-IV

Cryptography and Security Analytics
IPR in Artificial Intelligence
Affective Computing and Interaction
Internet of Things