| S.No. | Code | Course Title | L-T-P | TA | MSE | ESE | TOTAL MARKS | Credits |
|---|---|---|---|---|---|---|---|---|
| 1 | CS31111CS | Mathematical foundation for Computer Science | 3-0-0 | 20 | 30 | 100 | 150 | 3 |
| 2 | CS31112CS | Advanced Data Structures & Algorithms | 3-0-0 | 20 | 30 | 100 | 150 | 3 |
| 3 | CS31113CS | Introduction of AI and Machine Learning | 3-0-0 | 20 | 30 | 100 | 150 | 3 |
| 4 | CS3112XCS | Elective-1 | 3-0-0 | 20 | 30 | 100 | 150 | 3 |
| 5 | CS3112XCS | Elective-2 | 3-0-0 | 20 | 30 | 100 | 150 | 3 |
| 6 | CS31141CS | Lab with Capstone Project- Advance DS with Python Programming Lab | 0-0-4 | 25 | 25 | 50 | 100 | 2 |
| 7 | CS31142CS | Lab with Capstone Project- AI & ML lab | 0-0-4 | 25 | 25 | 50 | 100 | 2 |
| 8 | CS31161CS | Seminar & Comprehensive | 0-0-3 | - | - | 50 | 50 | 1 |
| Total | 15-0-11 | 150 | 200 | 650 | 1000 | 20 | ||
| Tentative List of Elective Subjects may be updated as and when required | |||
| Elective-1 | Elective-2 | ||
| Code | Course Title | Code | Course Title |
|---|---|---|---|
| CS31121CS | Fog and Edge Computing | CS31125CS | Applied NLP with Large Language Models |
| CS31122CS | Reinforcement Learning | CS31126CS | Advanced Deep Learning and Computer Vision |
| CS31123CS | Computational Methods in Optimization | CS31127CS | Advanced Computer Architecture |
| CS31124CS | Generative Artificial Intelligence | ||