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

Optional

Grading

1

Passtime

None

Level Limit

Engineering

College
Unlocks ECE 157B
These majors only ece me psy cneng chem eemb mcdb envst ertsc crstu
WANG L C
No info found
Fall 2025 . Wang L C
PHELP1260
M W
17:00 PM - 18:15 PM
See All
ECE 157A Wang L C Fall 2024 Total: 34
ECE 157A Wang L C Fall 2023 Total: 37
See All
ECE 157A
0 / 20 Enrolled
Machine Learning in Design and Test Automation
T
13:00 PM - 15:50 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 4.9
M W
09:30 AM - 10:45 AM
41.9% 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
M W
09:30 AM - 10:45 AM
41.9% 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
15 / 18 Enrolled
The Quantum Description of Electronic Materials
T B A
M W
15:30 PM - 16:45 PM
58.3% A