EECS16A
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EECS 16A - Foundations of Signals, Dynamical Systems, and Information Processing
Subject
EECS
Course Number
16A
Department
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