Computer Engineering · Fall 2026
SDSU COMPE 510 — Machn Lrning For Engnrs
Selected topics from linear regression, logistic regression, neural networks, support vector machine, decision trees, clustering, Naive Bayes, dimension reduction, and ensemble learning.
Course requirements
Prerequisites: COMPE 361, E E 300, E E 200 or Graduate standing.
- COMPE 361, E E 300, E E 200 or Graduate standing.
Fall 2026 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 8419 Lecture | In person | Open | 45 / 60 | Tue/Thu 8:00 AM–9:15 AM | GMCS 324 | Junfei Xie | 3.5/5 · 2 reviews Difficulty 3.0 · 50% take again |
| 11846 Lecture | Online asynchronous | Open | 29 / 30 | TBA | ONLINE | Junfei Xie | 3.5/5 · 2 reviews Difficulty 3.0 · 50% take again |
| 12062 Lecture | In person | Open | 2 / 5 | Tue/Thu 8:00 AM–9:15 AM | GMCS 324 | Junfei Xie | 3.5/5 · 2 reviews Difficulty 3.0 · 50% take again |