EECS 227AT. 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: Mathematics 54 or equivalent or consent of instructor.

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

Formats:
Fall: 3.0 hours of lecture and 1.0 hours of discussion per week
Spring: 3.0 hours of lecture and 1.0 hours of discussion per week

Grading basis: letter

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


Class Schedule (Spring 2018):
TuTh 11:00AM - 12:29PM, LeConte 4 – Laurent El Ghaoui

Class Schedule (Fall 2018):
TuTh 12:30PM - 1:59PM, Stanley 105 – Alexandre M. Bayen, Laurent El Ghaoui

Class homepage on inst.eecs

General Catalog listing

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