Introduces the various machine learning techniques and how they are utilized to improve hardware design and test automation processes. The potential benefits and theoretical barriers for implementing a machine learning solution in practice are explained.

Prerequisites: ECE 152A with a minimum grade of C-.

4

Units

Letter

Grading

1, 2, 3

Passtime

Upper division only

Level Limit

Engineering

College
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Lecture
HFH 1124
T
13:00 PM - 15:50 PM
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ECE 157A Wang L C Fall 2023 Total: 37
ECE 157A Wang L C Fall 2022 Total: 37
ECE 157A
30 / 60 Enrolled
Machine Learning in Design and Test Automation
Li-C Wang 4.4
M W
17:00 PM - 18:15 PM
ECE 157A
27 / 60 Enrolled
Machine Learning in Design and Test Automation
Wang L C
M W
17:00 PM - 18:15 PM
ECE 147A
26 / 30 Closed
Feedback Control Systems - Theory and Design
Andrew Teel 4.3
T R
09:30 AM - 10:45 AM
ECE 153A
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Hardware/Software Interface
Forrest Brewer 3.4
M W
11:00 AM - 12:15 PM
ECE 153B
24 / 75 Enrolled
Sensor and Peripheral Interface Design
Yogananda Isukapalli 5.0
M W
09:30 AM - 10:45 AM
ECE 153B
1 / 75 Enrolled
Sensor and Peripheral Interface Design
T B A
M W
09:30 AM - 10:45 AM