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PHYS 4811 - Contemporary Applications of Physics: Machine Learning in Physics
  
Course last offered 
 :   
Fall 2020/21
Instructor(s)
 :
Tao LIU
No. of credits
 :
1


Teaching Pattern
  • Duration of course: about 5 weeks
  • Lecture hour(s) / Tutorial hour(s) per week: 3 / 1
 
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
DEPARTMENT OF PHYSICS