Soudeep Deb

Teaching

At IIM Bangalore

Below is a list of courses I am teaching currently/regularly in the degree-granting programs at my current institute. I also teach a few sessions in the executive education programs. Feel free to reach out if you want to know more about those courses.

  • (Upcoming) Dec 2025-Mar 2026, PhD level: Nonparametric Statistics : Theory and Applications. This is a core course for the PhD students in the Decision Sciences area. This course builds on foundational knowledge in probability and statistics. The course covers order statistics, nonparametric estimation and testing, resampling methods, kernel techniques, with brief introduction to splines, wavelets and copulas. Emphasis is placed on both theoretical understanding and practical application. Send an email if you want more information.

  • Dec-Mar, since 2021-22, PhD level: Multivariate Statistics. This is a core course for the PhD students in the Decision Sciences area. Good understanding of probability theory, statistical inference, and linear algebra serve as adequate prerequisites to this course. The syllabus of the course includes the study of random vectors and associated probability distributions, inference about multivariate mean and dispersion matrix, multivariate regression models, factor models, and some machine learning techniques. Send an email if you want more information.

  • Jun-Sep, since 2020-21, MBA level: Decision Sciences 1. This course is aimed towards MBA students and is a core course in their curriculum. The course is oriented towards application rather than theoretical aspects. It is designed to enable students to conduct data analytics through statistical methods and make data driven inference as well as to help them develop understanding of the methodology, the assumptions made in the process, so as to be able to tweak them, depending on ground realities. Send an email if you want more information.

  • Jun-Sep, since 2023-24, MBA level: Sports Analytics. This course is an elective for second year MBA students. The objective of this course is to equip the students with important data analysis and statistical tools that can be used in handling problems related to sports analytics. The curriculum is designed to cater to the likings and interests of different students, through discussions of interesting problems from various sports, in the contexts of analysis of game-play, strategy building, sports management, betting markets and other economic aspects. Send an email if you want more information.

  • Dec-Mar, since 2024-25, BBA level: Advanced Statistics for Business. This course is aimed towards online BBA students and is a core course in their curriculum. The course covers the topics of nonparametric methods in statistics, advanced regression models, statistical quality control etc., and are designed around applications in business, rather than theoretical aspects. Send an email if you want more information.

Below are courses I have taught earlier in IIM Bangalore.

  • Jun-Sep, 2024, PhD level: Advanced Statistical Methods and Computing. This is a core course for PhD students in the Decision Sciences area. The course provides a broad and rigorous introduction to Bayesian methods, graph theory, probabilistic reasoning and decision making in uncertain environments. Special emphasis is given on various computing techniques in Bayesian methods and dynamic Bayesian networks. Send an email if you want more information.

  • May, 2022, Pre-doctoral program: Research Methodology. It is a mandatory and introductory course for incoming pre-doctoral students at IIMB. In this short course, basic concepts of probability and statistics, data summarization and visualization, along with their usefulness in research problems are taught. Send an email if you want more information.

  • Sep-Dec, 2020, PhD level: Statistical Inference. It is a core course for the PhD students in the Decision Sciences area. The main aim is to provide a solid foundation in Statistics to the students intending to carry out dissertation with strong quantitative orientation. This course assumes basic knowledge of Statistics and builds on the probability theory course offered for the same group of students in term 1. The course is designed to be theoretical in nature, but due emphasis for numerical implementation is also given, primarily using R. Send an email if you want more information.

At University of Chicago

During my PhD tenure at the University of Chicago, I taught the following courses. Please reach out to me if you want to know more about these courses.

In addition, I also worked as a teaching assistant for the following courses at the University of Chicago: