Electrical Engineering · Spring 2027
SDSU E E 533 — Neuromorphic Computing
Ultra-low power computing electronics concepts mimicking computing by biological neurons. Commercial neuromorphic systems and processors for machine learning applications.
Course requirements
Prerequisites: E E 330 with a grade of C (2.0) or better, or graduate standing.
- E E 330 with a grade of C (2.0) or better, or graduate standing.
Spring 2027 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 8742 Lecture | In person | Open | 0 / 60 | Mon/Wed 5:30 PM–6:45 PM | GMCS 310 | Hakan Toreyin | 4.7/5 · 13 reviews Difficulty 3.8 · 85% take again |