Basic understanding of computational principles and information coding in biological brains; biologically plausible neural and synaptic models; neutrally inspired network architectures, learning mechanisms, and trainingalgorithms; hardware architectures and circuits for supporting efficient neurally inspired learning.

No Prerequisites

4

Units

Letter

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Engineering

College
These majors only ece
LI P
No info found
Winter 2025 . Li P
PHELP1431
M W
12:00 PM - 13:50 PM
Winter 2026 . Li P
PHELP1437
M W
12:00 PM - 13:50 PM
ECE 274 Li P Winter 2025 Total: 20
ECE 256C
0 / 30 Closed
Advanced VLSI Architecture and Design
Theogarajan L
M W F
14:00 PM - 15:15 PM
ECE 256C
0 / 30 Closed
Advanced VLSI Architecture and Design
Luke Theogarajan 4.2
M W F
14:00 PM - 15:15 PM
ECE 261
26 / 30 Enrolled
INTRODUCTION TO NANOPHOTONICS
Schuller J A
T R
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ECE 272B
20 / 45 Enrolled
Artificial Intelligence in Design and Test Automation
Li-C Wang 4.3
M W
17:00 PM - 18:15 PM
ECE 281B
10 / 20 Enrolled
Advanced Topics in Computer Vision
B. S. Manjunath 3.5
M W
10:00 AM - 11:50 AM
ECE 295
6 / 30 Enrolled
Group Studies: Controls, Dynamical Systems, and Computation
Andrew Teel 4.4
F
14:30 PM - 16:50 PM