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PHYS 4811 - Contemporary Applications of Physics: Machine Learning in Physics
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Course last offered
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Fall 2023/24
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Instructor(s)
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WOON Wilson
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No. of credits
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1
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Teaching Pattern
Content
Students in this course will apply the basic concepts of physics to the subject of machine learning. Topics include algorithms of supervised learning, unsupervised learning, and reinforcement learning, together with their applications in physics.
Remarks
- Prerequisite(s): PHYS 2022 AND (PHYS 3142 OR MATH 3312) AND MATH 2023
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