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Detailed Syllabus
M.Tech Computer Science and Engineering (Data Science and Artificial Intelligence) (2019)
Semester - I
Sl. No.
Course code
Course Title
Core/Elective
Credits
Lec.
Tut
Lab
Marks
1
19-475-0101
Probability and Statistics for Data Science
C
4
4
2
2
100
2
19-475-0102
Artificial Intelligence
C
4
4
2
2
100
Total for Semester I
8
8
4
4
200
Semester - II
1
19-475-0201
Foundations of Data Science
C
4
4
2
2
100
2
19-475-0202
Machine Learning Algorithms
C
4
4
2
2
100
Total for Semester II
8
8
4
4
200
Semester - III
1
19-475-0301
Probabilistic Graphical Models
C
4
4
2
2
100
2
Elective I
E
4
4
2
2
100
Total for Semester III
8
8
4
4
200
Electives
19-475-0302 : Image and Video Processing
19-475-0303 : Complex Networks: Theory and Applications
19-475-0304 : Advanced Optimization Techniques
Semester - IV
1
19-475-0401
Deep Learning Architectures
C
4
4
2
2
100
2
Elective II
E
4
4
2
2
100
Total for Semester IV
8
8
4
4
200
Electives
19-475-0402 :Natural Language Processing with Deep Learning
19-475-0403 :Real-time Video Analytics
19-475-0404 :Bioinformatics
Semester -V
1
19-475-0501
Project & Viva Voce
C
16
0
0
13
300
2
Elective III
E
4
4
2
2
100
Total for Semester V
20
4
2
15
400
Electives
19-475-0502 : Parallel Computing with GPU
19-475-0503 : Mining of Massive Datasets
19-475-0504 : Reinforcement Learning
Semester - VI
1
19-475-0601
Project & Viva Voce
C
20
0
0
15
400
Total credits for Degree: 72
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