Curriculum (first year) | Credits | |
---|---|---|
AI5000 | Basics/Foundations of Machine Learning | 3 (Core) |
ID2230/CS6013 | Advanced Data Structures and Algorithms | 3 (Core) |
XXxxxx | Electives (basket below) | 6 |
Total | 12 |
Curriculum (first year) | Credits | |
---|---|---|
AI5000 | Basics/Foundations of Machine Learning | 3 |
AI5030 | Probability and Stochastic Processes | 3 |
AI5100 | Deep Learning | 3 |
EE5609 | Matrix Theory | 3 |
ID2230/CS6013 | Advanced Data Structures and Algorithms | 3 |
XXxxxx | Electives (baskets below) | 10 |
Total | 24 |
Course | Credits |
---|---|
Intro to Statistical Learning Theory | 1 |
Kernel Methods | 1 |
Sequence Models | 1 |
Bayesian Data Analysis | 1 |
Non-linear Control Techniques | 1 |
Optimisation Methods in Machine Learning/Convex Optimization | 3 |
Information Theory and Coding | 3 |
Stochastic Processes for Machine Learning | 1 |
Introduction to Submodular Functions | 1 |
Artificial Intelligence | 2 |
Course | Credits |
---|---|
Information Retrieval | 3 |
Natural Language processing | 3 |
Data Mining | 3 |
Text Processing | 3 |
Computer Vision | 3 |
Speech Systems | 3 |
Image and Video Processing | 3 |
Surveillance Video Analytics, Visual Big data analytics, Video content analysis | 3 |
Computer Vision for Autonomous Vehicle Technology | 3 |
Parallel & Concurrent Programming | 3 |
Distributed Computing | 3 |