Spring 2024
EECS 127 999 - DIS 999
Formerly Electrical Engineering 127
Optimization Models in Engineering
Jan 16, 2024 - May 03, 2024
12:00 am
Class #:16623
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
58
Enrolled: 380
Waitlisted: 0
Capacity: 438
Waitlist Max: 200
No Reserved Seats
Hours & Workload
1 hours of the exchange of opinions or questions on course material per week, 8 hours of outside work hours per week, and 3 hours of instructor presentation of course materials per week.
Course Catalog 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.
Rules & Requirements
Requisites
- Undergraduate Students - Excludes Visiting Students
Credit Restrictions
Students will receive no credit for EECS 127 after taking EECS 227AT or Electrical Engineering 127/227AT.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials