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Courses

2022-I Spring/Summer (Jan - May)

Course title Instructor(s)
CSS.328.1 Linear and semi-definite programming Jaikumar Radhakrishnan, Kavitha Telikepalli
CSS.327.1 Theoretical Foundations for Deep Learning Jatin Batra
CSS.307.1 Algebra and Computation Ramprasad Saptharishi
CSS.302.2 Reading course: Topics in the study of Markov chains Piyush Srivastava
CSS.326.1 Polynomials and Applications Piyush Srivastava
CSS.202.2 Mathematical Introductions to Logic N Raja
CSS.325.1 Programs and Proofs N Raja
CSS.203.1 Computational Complexity Arkadev Chattopadhyay
CSS.418.2 One shot quantum Shannon Theory Pranab Sen
CSS.314.1 Online Algorithms Rahul Vaze
CSS.208.1 Information Theory Vinod M. Prabhakaran
CSS.316.1 Advanced probability Sandeep K Juneja

2021-II Autumn/Monsoon (Aug - Dec)

Course title Instructor(s)
CSS.101.1 Mathematical Foundations for Systems Sciences Hariharan Narayanan
CSS.102.1 Mathematical Foundations for Computer Science Arkadev Chattopadhyay, Jaikumar Radhakrishnan
CSS.201.1 Algorithms Kavitha Telikepalli, Umang Bhaskar
CSS.202.1 Mathematical Logic N Raja
CSS.204.1 Automata and Computability Shibashis Guha
CSS.207.1 Probability Vinod M. Prabhakaran
CSS.212.0 Machine Learning in Practice
CSS.304.1 Cryptography Akshayaram Srinivasan
CSS.413.1 Pseudorandomness Ramprasad Saptharishi, Prahladh Harsha
CSS.418.1 One shot classical and quantum information theory Pranab Sen