Courses Taught
- Mathematics of machine learning (undergraduate/graduate level, Missouri S&T)
- Scientific programming with Python (undergraduate/graduate level, Missouri S&T)
- Marketing revolution with machine learning (co-teaching, undergraduate/graduate level, Missouri S&T)
- Finite difference and spectral methods for partial differential equations (graduate level, Missouri S&T)
- Introduction to numerical methods for differential equations (undergraduate/graduate level, Missouri S&T)
- Methods of applied mathematics (undergraduate/graduate level, Missouri S&T)
- Applied mathematics in chemical engineering (graduate level, Missouri S&T)
- Elementary differential equations (undergraduate level, Missouri S&T)
- Mathematical modeling (undergraduate/graduate level, Missouri S&T)
- Calculus I (undergraduate level, Florida State University)
Other Independent Study/Projects Led
- Graph neural networks (undergraduate student: Maanav Damaraju, Fall 2023)
- Mathematical perspective of computational neuroscience (undergraduate student: Henry Volkmann, Fall 2022)
- Rogue waves in nonlocal media (undergraduate student: David J. Gillcrist, Spring 2017)
- Mathematics modeling of flocking phenomena (master student: Sabrina Streipert, Summer 2012)
Contact
Feel free to reach out to me at zhangyanz@mst.edu for any questions or clarifications.