Introduction to Optimization (ENGR 62, MS&E 111)

MS&E
211
Instructors
Goel, A. (PI)
Gelauff, L. (TA)
Jiang, Z. (TA)
Javier, L. (TA)
Yang, A. (TA)
Kalemoglu, E. (TA)
Section Number
1
Formulation and computational analysis of linear, quadratic, and other convex optimization problems. Applications in machine learning, operations, marketing, finance, and economics. Prerequisite: CME 100 or MATH 51.
Course Link
Grading
Letter or Credit/No Credit
Units
3-4
Academic Career
Graduate
Course Tags
Resources, Environment, and Energy Policy - Electives
Academic Year
Quarter
Winter
Section Days
Tuesday Thursday
Start Time
1:30 PM
End Time
2:50 PM
Location
Skilling Auditorium