CS 857 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Durham   Engineering&Physical Sciences :: Computer Science
Credits: 3.0
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Class Size:   10  
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: Marek Petrik, Mark Lyon

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