EECS 127. Optimization Models in Engineering

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.

Units: 4.0

Prerequisites: EECS 16A and EECS 16B, or consent of instructor.

Credit Restrictions: Students will receive no credit for EECS 127 after taking EECS 227AT or Electrical Engineering 127/227AT.

Fall: 3 hours of lecture and 1 hour of discussion per week
Spring: 3 hours of lecture and 1 hour of discussion per week

Grading basis: letter

Final exam status: Written final exam conducted during the scheduled final exam period

Class Schedule (Fall 2022):
TuTh 12:30PM - 1:59PM, HAAS Faculty Wing F295 – Alicia Matsumoto, Aryan Jain, GIREEJA RANADE

Class Schedule (Spring 2023):
TuTh 9:30AM - 10:59AM, Lewis 100 – GIREEJA RANADE

Class homepage on inst.eecs

General Catalog listing

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