This course represents a comprehensive foundation for core ECE topics in signal processing, image analysis, machine learning, optimization and control. The lectures present concepts from linear algebra, such as matrix computations, systems of linear equations, eigenspace decomposition, inner-product, orthogonality, least-squares and linear regression. Students actively engage with the technical materials with an introduction to Python programming and associated hands-on sessions. The materials are be motivated by real-world scenarios ranging from medical imaging to autonomous vehicles, from (miscarriage of) justice to brain-machine interfaces, from music analysis to GPS design.

Prerequisites: Open to EE and CMPEN majors only.

4

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Engineering

College
Unlocks CMPSC 5B CMPSC 9
These majors only ee cmpen
T B A
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Lecture
ILP 1101
M W
15:30 PM - 16:45 PM
0 / 125
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ECE 3 Miolane N Fall 2023 Total: 135
ECE 3 Miolane N Fall 2022 Total: 103
ECE 3
3 / 125 Enrolled
INTRODUCTION TO ELECTRICAL ENGINEERING
T B A
M W
15:30 PM - 16:45 PM
ECE 5
1 / 90 Enrolled
Introduction to Electrical & Computer Engineering
Li P
T R
12:30 PM - 13:45 PM
ECE 5
2 / 90 Enrolled
Introduction to Electrical & Computer Engineering
Li P
T R
12:30 PM - 13:45 PM
ECE 10A
137 / 160 Enrolled
Foundations of Analog and Digital Circuits & Systems
Loai Salem 4.0
T R
17:00 PM - 18:15 PM
ECE 10AL
0 / 20 Closed
Foundations of Analog and Digital Circuits and Systems Lab
T B A
M
18:30 PM - 22:20 PM
ECE 10AL
20 / 20 Full
Foundations of Analog and Digital Circuits and Systems Lab
T B A
T
13:00 PM - 16:50 PM