Course syllabus and materials are available in canvas.

Spring 2024- Introduction to data science (undergraduate)

Fall 2023- Optimal transport

Fall 2023- Real analysis: Preparation for the Ph.D. Introductory Examination

Fall 2022- Equivariant machine learning

Spring 2022- Topics in trustworthy machine learning

Spring 2021- Non-linear optimization II

Fall 2020 – Introduction to Convexity