Courses

I am interested in developing courses as part of my teaching job. Some of my lectures notes can be found below.

  • Statistical Estimation: This is a proof-based, graduate or advanced undergraduate level introduction to statistical estimation. The goal of this one-semester course is to introduce basic approaches in mathematical statistics, including the minimax and the Bayesian point of view coupled with either asymptotic or finite-sample analysis. The lecture notes were written in a mostly rigorous and self-contained way, but with some measure-theoretic details left out. They should be readable to students with a solid background in probability theory and provide a fast alternative to classic books.

    • Georgia Tech, MATH 6262 (Spring 2020, Spring 2021)

  • Hypothesis Testing: This is a proof-based, graduate or advanced undergraduate level introduction to hypothesis testing. Lecture notes are under development.

    • Georgia Tech, MATH 6263 (Fall 2021)

  • Introductory Probability and Statistics: This is an undergraduate level introduction to probability and statistics for engineering students. Lecture notes are under development.

    • Georgia Tech, MATH 3670 (Fall 2020)
    • Georgia Tech, MATH 3215 (Fall 2021)

Notes