Spring 2025
EECS 227AT 001 - LEC 001
Formerly Electrical Engineering 227AT
Optimization Models in Engineering
Thomas A Courtade
Class #:29650
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
8
Enrolled: 22
Waitlisted: 0
Capacity: 30
Waitlist Max: 25
No Reserved Seats
Hours & Workload
1 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.
Final Exam
THU, MAY 15TH
03:00 pm - 06:00 pm
Dwinelle 155
Dwinelle 145
Other classes by Thomas A Courtade
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.
Class Notes
*To enroll in this class, select the lecture and the 999 (placeholder) discussion section. Assignment to the actual sections will be managed by teaching staff.*
Rules & Requirements
Requisites
- Graduate students NOT in the Master of Engineering Program other those in EECS
Credit Restrictions
Students will receive no credit for EECS 227AT after taking EECS 127 or Electrical Engineering 127/227AT.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
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