PHYS 4811 - Contemporary Applications of Physics: Machine Learning in Physics

Teaching Pattern

• Duration of course: about 4 weeks
• Lecture hour(s) / Tutorial hour(s) per week: 3 

Content

This course introduces students to the fundamentals of machine learning and its applications in physics. Key topics include supervised learning, unsupervised learning, and reinforcement learning.

Remarks

• Prerequisite(s): PHYS 2022 AND (PHYS 3142 OR MATH 3312) AND MATH 2023