Prerequisites: graduate standing or consent of instructor
Description: For PHYS 243 online section; enrollment in the Online Master-in-Science in Engineering program. Covers basic principles of machine learning (ML) and introduces deep learning. Topics include ML algorithms, practical examples, and case studies for application of ML and deep learning to different disciplines.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.