Mathematical Optimization
Durham
Engineering&Physical Sciences :: Computer Science
Online Course Delivery Method: Scheduled meeting time, Remote Section, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:
8
CRN: 56976
CRN: 56976
This course introduces the foundations of mathematical optimization and reinforces them via applications. The content includes convex optimization, first and second-order methods, constrained problems, duality, linear and quadratic programming, as well as discrete and non-convex optimization. Applications will focus on machine learning methods but also include problems from engineering and operations research. Prereq: MATH 426; Programming proficiency in MATLAB, R, Java, C, Python, or equivalent.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): MATH 857
Instructors: STAFF
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
2/1/2021 | 5/11/2021 | MWF | 9:40am - 11:00am | ONLINE |