Courses for graduate students

Bayesian Modeling and Inference (Springs 2019, 2020, 2021, 2022, 2023, 2024, 2025)

Distributed Computing (Springs 2021, 2022)

Data Visualization (Falls 2021, 2022, 2023, 2024)

Foundation of Programming (Falls 2020, 2021, 2022, 2023, 2024)

Statistical Learning (Spring 2019)

Large Sample Theory (Fall 2018)

Courses for undergraduate students

Parallel Computing and Software Development (Spring 2019)

Foundation of Data Science (Fall 2018, Fall 2019, Spring 2023, Spring 2024, Spring 2025)