Historical instructor
Original student reviews · all captured dates
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MATRIX METHODS IN MACHINE LEARNING covers linear algebraic foundations and matrix methods for machine learning applications like classification, clustering, and data analysis.
No offering record · Spring 2026
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2021–Spring 2026ECE 399 is an independent study course where students engage in directed projects arranged with an instructor.
No offering record · Spring 2026
historical GPA · grades
Spring 2022–Spring 2026ECE 890 is an independent doctoral research course for PhD students in Electrical Engineering.
No offering record · Spring 2026
No recorded grade history
| Term | Course | Title |
|---|---|---|
| Spring 2026 | COMPSCI/ECE/ME 532 | Matrix Methods in Machine Learning |
| Spring 2026 | ECE 399 | Independent Study |
| Spring 2026 | ECE 890 | Pre-dissertator's Research |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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