Please find the lastest curriculum here
Pleae find the lastest Academics handbook here
| Semester 1 | Credits |
|---|
| AI5000 | Foundations of Machine Learning | 3 |
| AI5030 | Probability and Stochastic Processes | 3 |
| MA4020 | Linear Algebra | 3 |
| AI5005 | Advanced Data Structures and Algorithms | 3 |
| AI5001 | Introduction to Modern AI | 1 |
| Total | 13 |
| Semester 2 | Credits |
|---|
| AI5100 | Deep Learning | 3 |
| AI/ML Electives (baskets below) | 8 |
| AI5301 | M.Tech Thesis (TA) stage - I | 2 |
| Total | 13 |
| Summer | Credits |
|---|
| AI5302 | MTech Thesis(TA) stage - II | 2 |
| Total | 2 |
| Semester 3 | Credits |
|---|
| AI5303 | MTech Thesis (TA) stage - III | 10 |
| Total | 10 |
| Semester 4 | Credits |
|---|
| AI5304 | MTech Thesis (TA) stage - IV | 10 |
| Total | 10 |
| Summary of Credits |
|---|
| Core Theory | 16 |
| Department Core | 8 |
| Thesis | 24 |
| Total | 48 |
AI Electives
| 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 |