Computer Engineering · Spring 2027
SDSU COMPE 696 — MLSP
Offers a comprehensive overview of machine learning applications in signal processing and communications, tailored for graduate students. It begins with big data analytics and explores key algorithms, algebraic, geometric, and probabilistic foundations, along with regression techniques, neural networks, and deep learning.
Course requirements
Prerequisites: COMPE 510; E E 602
- COMPE 510; E E 602
Spring 2027 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 11633 Lrg Lect | In person | Open | 0 / 30 | Mon/Wed 5:00 PM–6:15 PM | PSFA 437 | Tharmalingam Ratnarajah | 1.0/5 · 2 reviews Difficulty 3.0 · 0% take again |