Spring 2024
EECS 127 001 - LEC 001
Formerly Electrical Engineering 127
Optimization Models in Engineering
Gireeja Vishnu Ranade
Class #:15989
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
Open Reserved Seats:
57 unreserved seats
1 reserved for Students with Enrollment Permission
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.
Final Exam
THU, MAY 9TH
03:00 pm - 06:00 pm
RSF Fieldhouse
Other classes by Gireeja Vishnu Ranade
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. Assignment to the actual sections will be managed by teaching staff.*
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
Open Reserved Seats:
57 unreserved seats
1 reserved for Students with Enrollment Permission
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials