Courses I Have Taken
I have listed down the courses I have taken along with the instructor's name listed beside it in my Bachelors at Indian Statistical Institute and Masters at Chennai Mathematical Institute and some other courses I have taken outside the Curriculum.
Bachelor of Mathematics (Honours)
Semester 1
Analysis I - Prof. CRE Raja
Algebra I - Prof. Anita Naolekar
Probability Theory I - Prof. Siva Athreya
Computer Science I - Prof. Utpal Chattopadhyay
Semester 2
Analysis II - Prof. CRE Raja
Algebra II - Prof. Anita Naolekar
Probability Theory II - Prof. Rituparna Sen
Physics I - Prof. Sukanya Sinha
Semester 3
Analysis III - Prof. B. Rajeev
Statistics I - Prof. Rituparna Sen
Optimization - Prof. Soumyashant Nayak
Algebra III - Prof. Jishnu Gupta Biswas
Physics II - Prof. Chittaranjan Hens
Semester 4
Graph Theory - Prof. Yogeshwaran D.
Algebra IV - Prof. Anita Naolekar
Topology - Prof. Shreedhar Inamdar
Statistics II - Prof. Mohan Delampady
Computer Science II - Prof. Mathew Joseph
Semester 5
Differential Geometry - Prof. Ramesh Sreekantan
Statistics III - Prof. Mohan Delampady
Complex Analysis - Prof. Mathew Joseph
Physics III - Prof. Prabuddha Chakraborty
Stochastic Processes - Prof. Yogeshwaran D.
Semester 6
Physics IV - Prof. Sukanya Sinha
Analysis IV - Prof. Soumyashant Nayak
Differential Equations - Prof. CRE Raja
Computer Science IV - Prof. Jaikumar Radhakrishnan
Topics in Applied Stochastic Process - Prof. Siva Athreya
Masters in Computer Science
Semester 1
Functional Programming in Haskell - Prof. S.P. Suresh
Design & Analysis of Algorithms - Prof. G. Philip
Theory of Computation - Prof. V. Arvind
Mathematical Logic - Prof. M. Praveen
(unofficially audited) Topics in Formal Methods and Machine Learning - Prof. M.K. Srivas
Semester 2
Programming Language Concepts - Prof. Madhavan Mukund & Prof. S.P. Suresh
Reinforcement Learning - Prof. K.V. Subrahmanyam
Linear Programming - Prof. B. Srivathsan
Extensive Form Games - Prof. B. Srivathsan
Data Mining & Machine Learning - Prof. Madhavan Mukund
Distributed Computing and Big Data - Venkatesh Vinayakarao
(unofficially audited) Complexity Theory - Prof. V. Arvind
Semester 3
Theoretical Foundations of Machine Learning - Prof. K.V. Subrahmanyam
Advanced Machine Learning - Prof. Pranabendu Misra
Masters Thesis: "Exploring Causality and Explainability in Time Series Models" - Prof. K.V. Subrahmanyam
Semester 4
Subject-wise Topics Covered
Computer Scinece
Design and Analysis of Algorithms, Functional Programming, Programming Language Concepts, Theory of Computation, Reinforcement Learning, Distributed Computing and Big Data, Data Mining and Machine LearningUnofficially Audited: Complexity Theory, Topics in Formal Methods and Machine Lerning