The following is a compilation of coursework and some related resources from my academic journey so far. It includes courses from both my undergraduate and postgraduate studies, along with links to syllabus, notes and resources where available.

B. Math (Hons.) - Brochure

Fall 2021 – Spring 2024

Semester I - Notes - Fall 2021

Courses Instructor
Real Analysis I B. V. Rajarama Bhat
Linear Algebra I Aniruddha C. Naolekar
Probability I Yogeshwaran D.
Fundamentals of Computing and Programming Utpal Chattopadhyay
Elementary Number Theory B. Sury

Semester II - Notes - Spring 2022

Courses Instructor
Real Analysis II Jaydeb Sarkar
Linear Algebra II B. V. Rajarama Bhat
Probability II Parthanil Roy
Numerical Computing Prabuddha Chakraborty
Introduction to Statistics and Computation with Data Siva Athreya

Semester III - Notes - Fall 2022

Courses Instructor
Analysis of Several Variables Jaydeb Sarkar
Group Theory Maneesh Thakur
Discrete Mathematics I Shreedhar Inamdar
Introduction to Statistical Inference Rituparna Sen
Classical Mechanics Sukanya Sinha

Semester IV - Notes - Spring 2023

Courses Instructor
Topology Maneesh Thakur
Rings and Modules B. Sury
Ordinary Differential Equation C. R. E. Raja & Vivek Kumar
Electrodynamics Prabuddha Chakraborty
Introduction to Linear Models and Regression Mohan Delampady

Semester V - Notes - Fall 2023

Courses Instructor
Analysis on Graphs B. V. Rajarama Bhat
Differential Geometry and Lie Groups Maneesh Thakur
Design and Analysis of Algorithms Jaikumar Radhakrishnan
Function Spaces Soumyashant Nayak
Probability III Siva Athreya

Semester VI - Notes - Spring 2024

Courses Instructor
Complex Analysis Jaydeb Sarkar
Geometry Jishnu G. Biswas
Introduction to Stochastic Processes Yogeshwaran D.
Optimization Mathew Joseph
Representation theory of finite groups Anita Naolekar

M. Math - Brochure

Fall 2024 – Spring 2026

Semester I - Notes - Fall 2024

Courses Instructor
Measure Theory Amites Dasgupta
Linear Algebra Shamindra Kumar Ghosh
Algebra I Mrinal Kanti Das
Topology I Samik Basu
Analysis of Several Variables Jyotishman Bhowmick
Percolation Theory (Non-credit) Rahul Roy

Semester II - Notes - Spring 2025

Courses Instructor
Complex Analysis Rudra P. Sarkar
Functional Analysis Partha Sarathi Chakraborty
Topology II Samik Basu
Algebra II Utsav Choudhury
Number Theory Satadal Ganguly

Semester III - Notes - Fall 2025

Courses Instructor
Differential Geometry I Debashish Goswami
Probability Theory Debanjan Nandi
Martingale Theory Soumendu Sundar Mukherjee
Fourier Analysis Rudra P. Sarkar & Shyam Swarup Mondal
Coding Theory Sumanta Ghosh

Semester IV - Notes - Spring 2026

Courses Instructor
Partial Differential Equations Debanjan Nandi
Brownian Motion and Diffusions Arijit Chakrabarty
Weak Convergence of Probability Measures Soumendu Sundar Mukherjee
Empirical Processes Arijit Chakrabarti
Advanced Functional Analysis Pradipta Bandyopadhyay

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