Mathematical Optimization
Durham
Engineering&Physical Sciences::Mathematics&Statistics
Credits: 3.0
Class Size: 5
Term:
Spring 2025
-
Full Term (01/21/2025
-
05/05/2025)
CRN:
52858
Grade Mode:
Letter Grading
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. Students are required to have a mastery of Calculus II and programming proficiency in MATLAB, R, Java, C, Python, or equivalent.
Section Comments: This course will meet in PARS N104 instead of KING N113 during the week of 1/20/2025-1/24/2025.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross Listed With :
MATH 757 (01)
Equivalent(s):
CS 857
Instructors:
Marek Petrik
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/21/2025 | 5/5/2025 | MWF | 10:10am - 11:00am | KING N113 |
| Final Exam5/13/2025 | 5/13/2025 | T | 10:30am - 12:30pm | KING N113 |
