Spring 2025
EECS 127 109D - DIS 109D
Formerly Electrical Engineering 127
Optimization Models in Engineering
Class #:30116
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
1
Enrolled: 0
Waitlisted: 0
Capacity: 1
Waitlist Max: 0
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
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