Available courses

This is a graduate level (Masters and Ph.D.) course on monetary theory and policy. The course will be taught by three instructors with each teaching 9 Lecture modules (starting with Rohit Kumar, then Monishankar Bishnu, and then Chetan Ghate). Some of the topics to be covered will be HANK Models, an Introduction to Stochastic Optimal Control, The New Keynesian Model, and several important papers in the literature in monetary economics.

 The overall focus of the course will be to develop modeling and technical skills to build and solve/calibrate the simple NK DSGE model.


This course deals with topics in Institutional Economics.

Incomplete Contracts and their Empirical Applications; Markups, Market Power, Collusion, Differentiated Goods and Asymmetric Information; Applications of IO methods to Developing/Transition Economies

Macro 2 covers topics in macro-dynamics. 

Introduction to probability theory.

This is a non-credit course where students can learn essential ideas of programming that will be useful in other Statistics courses. The course introduces hands-on programming using R as the primary language, and also covers elementary concepts of correctness and run-time analysis of algorithms.

Linear Algebra covering topics like Algebra of Matrices, Elementary Operations, Rank, Determinant, Inner Product Spaces, Eigenvalues, Singular Value Decomposition, Quadratic Forms. The second part of the course will cover linear models, which will be lectured on by Prof. Saurabh Ghosh of ISI Kolkata. 

First course in Applied Econometrics.

Statistics for Econ.

This is beginning graduate (Masters/Ph.D) level course in Macroeconomics. This course provides students with the analytical and quantitative tools used by modern macroeconomists today.  The course focuses on models with strong micro-foundations. The course develops both continuous time and discrete time techniques. The focus of the course is on understanding the analytics behind economic growth, business cycles, and current macroeconomic problems. 

This course will be conducted online. 

Course in p-adic analysis

This is beginning graduate (Masters/Ph.D) level course in Macroeconomics. This course provides students with the analytical and quantitative tools used by modern macroeconomists today.  The course focuses on models with strong micro-foundations. The course develops both continuous time and discrete time techniques. The focus of the course is on understanding the analytics behind economic growth, business cycles, and current macroeconomic problems. 

Probability Theory

Regression Techniques Course