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