Course No.

Title of the Course

Credits

POOL

Instructor

Suggested Venue / Time Slot

First Class

E0 308

Advanced Data Structures

3:01

A

Rahul Saladi

M,W 2pm to 3:30 pm, CSA 112

Jan 8

E0 248

Theoretical Foundations of Cryptography

3:01

Chaya Ganesh / Bhavana Kanukurthi

M/W 9.30-11am CSA 112

Jan 6

E0 374

Topics in Combinatorial Geometry

3:01

Satish Govindarajan

MW 3:30-5pm CSA 112

Jan 6

E0 234

Introduction to Randomized Algorithms

3:01

A

Arindam Khan / Anand Louis

M,W, F 11:00 to 12.30, CSA 112

Jan 8

E0 317

Probabilistic Methods in Graph Theory and Combinatorics

3:00

Sunil Chandran

Tu,Th 3:30-5:00pm CSA 117

E0 213

Quantum-Safe Cryptography

3:00

A

Sanjit Chatterjee

Tu, Th 03:30 to 05:00 pm, CSA 112

Jan 7

E0 207

Computational Topology : Theory and Applications

3:01

A

Vijay Natarajan / Gugan Thoppe

Tu, Th 11:00 to 12:30 pm, CSA 117

E0 309

Topics in Complexity Theory

3:01

Chandan Saha

Tu, Th 11:00 to 12:30 pm, CSA 112

Jan 7

E0 205

Mathematical Logic and Theorem Proving

3:1

A

Deepak D’Souza and Kamal Lodaya

Mon, Wed 3:30pm, CSA 117

Jan 6

UMC 205

Automata Theory and Computability

Deepak D’Souza

UG Course

E0 361

Topics in Database Systems

3:01

Jayant Haritsa

Tu, Th 3:30 to 5:00 pm, CSA 328

Jan 7

UMC-102

UG Computer Systems

3:01

Vinod Ganapathy

UG Course

E0-255

Compiler Design

3:01

B

Uday Kumar Reddy

Tue, Thu 9:30 to 11.00, Room 112

Jan 7

E0 343

Topics in Computer Architecture

3:01

R Govindarajan

E0 209

Principles of Distributed Software

3:01

B

K V Raghavan

M, W, 2 to 3:30, Room 117

Jan 6

E0 294

Systems for Machine Learning

3:01

B

Sumit Kumar Mandal

T, Th 2 to 3:30, CSA 117

Jan 7

E1 254

Game Theory

3:01

C

Siddharth Barman and Y Narahari

M, W,F 9.30 to 11.00 room 117

January 6, 2025

E1 277

Reinforcement Learning

3:01

C

Shalabh Bhatnagar and Gugan Thoppe

Tu, Th 09:30 to 11:00 am, CSA 117

UMC 203

Introduction to AI & ML

C

Chiranjib Bhattacharyya / Shishir N. Y. K

UG Course

E0 270

Machine Learning

3:01

C

Ambedkar Dukkipatti

M, W 11.00 to 12.30 room 117

E0 315

Measure Theoretic Probability

3:01

Ambedkar Dukkipatti

M, W 8.00 to 9.30 room 117

E0 324

Advanced Topics in Optimization for Machine Learning

3:00

Anant Raj / Chiranjib Bhattacharya

M W 2:00 to 3:00 room 311