Mathematical Optimization
Durham
Engineering&Physical Sciences :: Computer Science
Credits: 3.0
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Grade Mode: Letter Grading
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Grade Mode: Letter Grading
Class Size:
10
CRN: 55819
CRN: 55819
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.
Equivalent(s): MATH 857
Instructors: STAFF
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/21/2020 | 5/4/2020 | MW | 9:40am - 11:00am | KING N133 |
1/21/2020 | 5/4/2020 | F | 9:40am - 11:00am | MCC 245 |