AM261: Advanced Scientific Machine Learning

This is an advanced scientific machine learning class, where students will learn how to build models of real-life systems from data, e.g., fluid, weather/climate, biological processes, ecology, using machine learning tools seamlessly blended with the theories of ordinary differential equations. This course is in-person and will include in-class programming exercises to gain expertise by practice. Taught in conjunction with AM 160. Students cannot receive credit for this course and AM 160. Undergraduate students who are in the SciCAM 4+1 program are strongly encouraged to take AM 261 instead of AM 160.

5 credits

Year	Fall	Winter	Spring	Summer
2025-26		Section 01 Ashesh Kumar Chattopadhyay (aschatto)

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.