Academic Curricula
| Code | Course Title | L | T | P | C |
|---|---|---|---|---|---|
| MA611 | Optimization Techniques | 3 | 0 | 0 | 3 |
| MA613 | Data Mining | 3 | 0 | 0 | 3 |
| MA617 | Numerical Linear Algebra | 3 | 0 | 0 | 3 |
| MA618 | Foundations of Machine Learning | 3 | 0 | 0 | 3 |
| E01 | Elective I | 3 | 0 | 0 | 3 |
| MA632 | Data Modeling Lab I | 0 | 0 | 6 | 2 |
| MA633 | Data Mining Lab | 0 | 0 | 3 | 1 |
| MA634 | Foundations of Machine Learning Lab | 0 | 0 | 3 | 1 |
| Total | 15 | 0 | 12 | 19 | |
| Code | Course Title | L | T | P | C |
|---|---|---|---|---|---|
| MA624 | Advanced Machine Learning | 3 | 0 | 0 | 3 |
| MA625 | Statistical Models and Analysis | 3 | 0 | 0 | 3 |
| E02 | Elective II | 3 | 0 | 0 | 3 |
| E03 | Elective IIl | 3 | 0 | 0 | 3 |
| E04 | Elective IV | 3 | 0 | 0 | 3 |
| MA642 | Data Modeling Lab II | 0 | 0 | 6 | 2 |
| MA643 | Statistical Modeling Lab | 0 | 0 | 3 | 1 |
| MA644 | Advanced Machine Learning Lab | 0 | 0 | 3 | 1 |
| Total | 15 | 0 | 12 | 19 | |
| Code | Course Title | L | T | P | C |
|---|---|---|---|---|---|
| MA851 | Seminar | 0 | 0 | 0 | 1 |
| MA852 | Project Work | 0 | 0 | 0 | 14 |
| Total | 0 | 0 | 0 | 15 | |
| Code | Course Title | L | T | P | C |
|---|---|---|---|---|---|
| MA853 | Project Work | 0 | 0 | 0 | 17 |
| Total | 0 | 0 | 0 | 17 | |
| Code | Course Title | L | T | P | C |
|---|---|---|---|---|---|
| MA869 | Discrete Mathematics and Graph Theory | 3 | 0 | 0 | 3 |
| N/A | Introduction to Parallel Programming | 3 | 0 | 0 | 3 |
| N/A | Introduction to Internet of Things | 3 | 0 | 0 | 3 |
| AVD614 | Image and Video Processing | 3 | 0 | 0 | 3 |
| MA871 | Advanced Kernel Methods | 3 | 0 | 0 | 3 |
| MA872 | Advanced Optimization | 3 | 0 | 0 | 3 |
| AVD864 | Computer Vision | 3 | 0 | 0 | 3 |
| MA873 | Graphical and Deep Learning Models | 3 | 0 | 0 | 3 |
| MA867 | Reinforcement Learning | 3 | 0 | 0 | 3 |
| MA874 | Theory of Algorithms | 3 | 0 | 0 | 3 |
| MA875 | Topological Data Analysis | 3 | 0 | 0 | 3 |
| Total | 33 | 0 | 0 | 33 | |
- Click on Code or Course Title to get the full syllabus
- L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
- For older versions of the Curriculum / Syllabus please refer below