Courses
I regularly teach courses in foundational machine learning and applied AI.
See the list below. The latest syllabi can be found on my home department’s website.
| Course Code | Course Name | Level | Semester | EDGE? | Prerequisites | More |
|---|---|---|---|---|---|---|
| EEE4773 | Fundamentals of Machine Learning | Undergraduate | Fall, Spring | No | EEL3850, EEL3135 | Part of Undergraduate AI Fundamentals & Applications Certificate |
| EEL4930 | Applied Machine Learning Systems | Undergraduate | Fall, Spring | No | Python programming | Co-listed with graduate section |
| EEL5840 | Fundamentals of Machine Learning | Graduate | Fall, Spring | Yes, in Fall | A solid working knowledge—at least at the undergraduate level—of probability theory, linear algebra, statistics, and Python programming is expected. | Co-listed with undergraduate section |
| EEL5934 | Applied Machine Learning Systems | Graduate | Fall, Spring | No | Python programming | Co-listed with undergraduate section |
| EGN5216 | Machine Learning for AI Systems | Graduate | Fall | No | Solid programming experience | Part of the core curriculum for the MS in AI Systems |