EECS16A

Download as PDF

EECS 16A - Foundations of Signals, Dynamical Systems, and Information Processing

Electrical Engineering and Computer Sciences Undergraduate COE - College of Engineering

Subject

EECS

Course Number

16A

Course Level

Undergraduate

Course Title

Foundations of Signals, Dynamical Systems, and Information Processing

Course Description

This course offers an introduction to signals, systems, optimization, controls, and machine learning, all grounded in linear algebraic techniques. After a brief review of linear algebra, students will delve into topics such as signal processing, linear systems, feedback control, optimization methods, and foundational machine learning algorithms. Emphasizing practical applications, the course prepares EECS majors for advanced study by connecting mathematical concepts to real-world engineering problems.

Minimum Units

4

Maximum Units

4

Repeat Rules

Course is not repeatable for credit.

Grading Basis

Default Letter Grade; P/NP Option

Instructors

Alon, Arcak, Ayazifar, Maharbiz, Niknejad, Ranade, Sahai, Subramanian, Tomlin, Tennant

Prerequisites

MATH 54

Credit Restriction Courses

-

Credit Replacement Courses

-

Term

Fall

Lecture Hours

3

Mode of Instruction

In Person

Discussion Hours

1

Mode of Instruction

In Person

Laboratory Hours

3

Mode of Instruction

In Person

Term

Summer

Lecture Hours

6

Mode of Instruction

In Person

Discussion Hours

2

Mode of Instruction

In Person

Laboratory Hours

6

Mode of Instruction

In Person