Electrical Engineering · Fall 2026, Winter 2027, Spring 2027, & Summer 2027

SDSU E E 533 — Neuromorphic Computing

3.00 units 1 enrollment option

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 · 83% take again

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