PHYS 450
Machine Learning for Physics
Spring 2026
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Machine Learning for Physics | PHYS450 | A | 77823 | LEC | 3 | 1300 - 1420 | T R | 305 Materials Science & Eng Bld | Mark Neubauer |
Official Description
An introduction to modern data science, artificial intelligence (AI) and machine learning (ML) from a physics perspective. Students will learn the basic concepts, tools, and methods of AI/ML applied to scientific challenges through hands-on projects utilizing open data. Students will study methods to incorporate physics knowledge into AI/ML models to improve their learning efficiency, performance, and interpretability. Course Information: 3 undergraduate hours. 3 graduate hours. Prerequisite: PHYS 325.