PHYS 498 MLP
PHYS 498 MLP - Machine Learning for Physics
Spring 2024
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Special Topics in Physics | PHYS498 | MLP | 64138 | LEC | 4 | 1300 - 1420 | T R | 3101 Sidney Lu Mech Engr Bldg | Mark Neubauer |
Official Description
Subject offerings of new and developing areas of knowledge in physics intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.
Section Description
Machine Learning for Physics: This course presents 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.
Please contact the Department of Physics Undergraduate Studies Office through the following Queue@Illinois Queue: https://queue.illinois.edu/q/queue/864