Teaching

Spring 2026: DSCI 410 - Big Data in Practice: Cloud and Parallel Computing 

Spring 2026: DSCI 593A - Deep Generative Models and Scalable Computing 

Spring 2026: DSCI 293A - SPTP: Data Visualization & Wrangling with R 

Fall 2025: DSCI 310 - Statistical Machine Learning - 1

Spring 2025: DSCI 221 - Reproducible Data Science Using R

Fall 2024: DSCI 310, MATH 593A - Statistical Machine Learning - 1

Fall 2024:  DSCI 101 - Introduction to Data Science

Spring 2024: DSCI 221 - Reproducible Data Science Using R

Fall 2023: DSCI 310, MATH 593A - Statistical Machine Learning - 1

Fall 2023:  DSCI 101 - Introduction to Data Science

Spring 2023: DSCI 221 - Reproducible Data Science Using R

Fall 2022:  DSCI 101 - Introduction to Data Science

Spring 2022: DSCI 221 - Reproducible Data Science Using R

Fall 2021:  DSCI 101 - Introduction to Data Science

Spring 2023:  MATH 493 - Mathematics for Machine Learning (Course Design and Co-Instructor with Adam Halasz)
https://sites.google.com/mix.wvu.edu/math-493b/home