ENGR 520
Physics-Informed Machine Learning
Covers core machine learning algorithms as they apply to scientific and engineering problem solving. Examples include how to enforce known or partially known physics into machine learning algorithms, and how to discover new physics with machine learning. Recommended: proficiency with writing code in Python. Offered: Sp.
Sources
- Course catalogue ↗Current public catalogue; retrieved 2026-11-05