EECS127
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EECS 127 - Optimization Models in Engineering
Subject
EECS
Course Number
127
Department
Course Level
Undergraduate
Course Title
Optimization Models in Engineering
Course Description
This course offers an introduction to optimization models and their applications, ranging from machine learning and statistics to decision-making and control, with emphasis on numerically tractable problems, such as linear or constrained least-squares optimization.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
El Ghaoui
Prerequisites
EECS 16A and EECS 16B, or consent of instructor.
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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Formats
Lecture, Discussion
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Hours Min
3
Lecture Hours Max
3
Discussion Hours
1
Discussion Hours Min
1
Discussion Hours Max
1
Outside Work Hours
8
Outside Work Hours Min
8
Outside Work Hours Max
8