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M.Tech. Computer and Information Science (2020)
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Semester - I
Sl. No. Course code Course Title Core/ Elective Credits Lec. Lab/
Tutorial
Marks
1
20-435-0101
Mathematical concepts for computer science
C
4
4
2
100
2
20-435-0102
Machine Learning Algorithms
C
4
4
3
100
3
20-435-0103
Design and Analysis of Algorithms
C
3
4
3
100
4
-
Elective I
E
3
4
1
100
5
-
Elective II
E
3
4
1
100
Total for Semester I
18
20
10
500
Electives
20-435-0104: Virtualized Systems
20-435-0105: Computational Linguistics
20-435-0106: Advanced Optimization Techniques
20-435-0107: Algorithms for Modern Data Models
20-435-0108: Digital Image and Video Processing
20-435-0109: Mathematics for Machine Learning
20-435-0110: Number Theory and Cryptography
Semester - II
1
20-435-0201
Algorithms for Massive Datasets
C
4
4
2
100
2
20-435-0202
Probabilistic Graphical Models
C
4
4
2
100
3
20-435-0203
Seminar
C
1
0
3
50
4
-
Elective III
E
3
4
1
100
5
-
Elective IV
E
3
4
1
100
6
-
Elective V
E
3
4
1
100
Total for Semester II
18
20
10
550
Electives
20-435-0204: Bioinformatics
20-435-0205: Programming Massively Parallel Processors
20-435-0206: Deep Learning
20-435-0207: Modelling Cyber Physical Systems
20-435-0208: Algorithmic Game Theory
20-435-0209: Deep Learning for Computer Vision
20-435-0210: Image and Video Coding
20-435-0211: Reinforcement Learning
20-435-0212: Natural Language Processing with Deep Learning
Semester - III
1
20-435-0301
Elective - VI
E
2
0
10
50
2
20-435-0302
Project & Viva Voce
C
16
0
20
350
Total for Semester III
18
20
30
400
Semester - IV
1
20-435-0401
Project & Viva Voce
C
18
0
30
500
Total credits for Degree: 72

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