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
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
Alon, Arcak, Ayazifar, Maharbiz, Niknejad, Ranade, Sahai, Subramanian, Tomlin, Tennant
Prerequisites
MATH 54
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.
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Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.
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Formats
Lecture, Discussion, Laboratory
Term
Fall
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Hours Min
3
Lecture Hours Max
3
Lecture Mode of Instruction
In Person
Discussion Hours
1
Discussion Hours Min
1
Discussion Hours Max
1
Discussion Mode of Instruction
In Person
Laboratory Hours
3
Laboratory Hours Min
3
Laboratory Hours Max
3
Laboratory Mode of Instruction
In Person
Outside Work Hours
5
Outside Work Hours Min
5
Outside Work Hours Max
5
Term
Summer
Weeks
8 weeks
Weeks
8
Lecture Hours
6
Lecture Hours Min
6
Lecture Hours Max
6
Lecture Mode of Instruction
In Person
Discussion Hours
2
Discussion Hours Min
2
Discussion Hours Max
2
Discussion Mode of Instruction
In Person
Laboratory Hours
6
Laboratory Hours Min
6
Laboratory Hours Max
6
Laboratory Mode of Instruction
In Person
Outside Work Hours
10
Outside Work Hours Min
10
Outside Work Hours Max
10