Upcoming
Courses to be offered during March – June 2021 (tentatively)
| Course No | Title of the Course | Credits | Pool | Instructor |
| E0 202 | Automate Software Engineering with Machine Learning | 3:1 | B | Aditya Kanade |
| E0 205 | Mathematical Logic and Theorem Proving | 3:1 | A | Deepak D’Souza / Kamal Lodaya |
| E0 207 | Computational Topology: Theory and Applications | 3:1 | A | Vijay Natarajan / Gugan Thoppe |
| E0 208 | Computational Geometry | 3:1 | A | Sathish Govindarajan / Rahul Saladi |
| E0 209 | Principles of Distributed Software | 3:1 | B | K V Raghavan |
| E0 210 | Dynamic Program Analysis: Algorithms and Tools | 3:1 | B | K Gopinath |
| E0 234 | Introduction to Randomized Algorithms | 3:1 | A | Siddharth Barman / Arindam Khan |
| E0 238 | Intelligent Agents | 3:1 | C | V. Susheela Devi |
| E0 251 | Data Structures and Algorithms | 3:1 | Y.N. Srikant / Matthew T. Jacob | |
| E0 253 | Operating Systems | 3:1 | B | Vinod Ganapathy / Arkaprava Basu |
| E0 255 | Compiler Design | 3:1 | B | Uday Kumar Reddy B / R Govindarajan |
| E0 261 | Database Management Systems | 3:1 | B | Jayant Haritsa |
| E0 264 | Distributed Computing Systems | 3:1 | B | R. C. Hansdah |
| E0 270 | Machine Learning | 3:1 | C | Chiranjib Bhattacharyya / Ambedkar Dukkipati |
| E0 309 | Topics in Complexity Theory | 3:1 | Chandan Saha | |
| E0 313 | Theory of convex optimization and sampling | 3:1 | Ankit Garg (Microsoft Research), Anand Louis | |
| E0 314 | Proof systems in Cryptography | 3:1 | Chaya Ganesh / Arpita Patra | |
| E0 320 | Topics in Graph Theory | 3:1 | Sunil Chandran. L. | |
| E0 343 | Topics in Computer Architecture | 3:1 | Arkaprava Basu | |
| E1 254 | Game Theory | 3:1 | C | Y. Narahari / Siddharth Barman | E1 277 | Reinforcement Learning | 3:1 | C | Gugan Thoppe / Shalabh Bhatnagar | E1 399 | Research in Computer Science | 1:2 | DCC |
| CP 314 | Robot Learning and Control | 3:1 | Shishir N. Y. |