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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
Unlocks ECE 157B
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Fall 2025 . Wang L C
PHELP1260
M W
17:00 PM - 18:15 PM
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ECE 157A Wang L C Fall 2024 Total: 34
ECE 157A Wang L C Fall 2023 Total: 37
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ECE 157A
27 / 60 Enrolled
Machine Learning in Design and Test Automation
Wang L C
M W
17:00 PM - 18:15 PM
75.4% A
ECE 157A
36 / 50 Enrolled
Machine Learning in Design and Test Automation
Li-C Wang 4.3
M W
17:00 PM - 18:15 PM
75.4% A
ECE 153B
51 / 70 Enrolled
Sensor and Peripheral Interface Design
Yogananda Isukapalli 4.8
M W
09:30 AM - 10:45 AM
41.4% A
ECE 153A
63 / 74 Enrolled
Hardware/Software Interface
Forrest Brewer 3.4
M W
11:00 AM - 12:15 PM
56.9% A
ECE 153B
1 / 75 Enrolled
Sensor and Peripheral Interface Design
T B A
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09:30 AM - 10:45 AM
41.4% A
ECE 154A
107 / 115 Enrolled
Introduction to Computer Architecture
Dmitri Strukov 4.2
T R
12:30 PM - 13:45 PM
52.6% A
ECE 154A
75 / 132 Enrolled
Introduction to Computer Architecture
T B A
T R
12:30 PM - 13:45 PM
52.6% A
ECE 162A
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The Quantum Description of Electronic Materials
T B A
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15:30 PM - 16:45 PM
58.3% A