2023 Fall
EECS 227AT 001 - LEC 001
Formerly Electrical Engineering 227AT
Optimization Models in Engineering
Gireeja Vishnu Ranade, Venkatachalam Anantharam
Class #:28487
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
17
Enrolled: 43
Waitlisted: 0
Capacity: 60
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
TUE, DECEMBER 12TH
03:00 pm - 06:00 pm
Li Ka Shing 245
Lewis 100
Valley Life Sciences 2040
Other classes by Gireeja Vishnu Ranade
Other classes by Venkatachalam Anantharam
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
- 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
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