2021 Fall
ELENG 227BT 001 - LEC 001
Convex Optimization
Somayeh Sojoudi, Laurent El Ghaoui
Aug 25, 2021 - Dec 10, 2021
Tu, Th
11:00 am - 12:29 pm
Physics Building 2
Class #:27880
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
27
Enrolled: 39
Waitlisted: 0
Capacity: 66
Waitlist Max: 20
Open Reserved Seats:
46 reserved for Students not in the Master of Engineering Program
Hours & Workload
3 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Somayeh Sojoudi
Other classes by Laurent El Ghaoui
Course Catalog Description
Convex optimization is a class of nonlinear optimization problems where the objective to be minimized, and the constraints, are both convex. The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. The course includes laboratory assignments, which consist of hands-on experiments with the optimization software CVX, and a discussion section.
Class Notes
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
46 reserved for Students not in the Master of Engineering Program
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials