APMTH 121
Introduction to Optimization: Models and Methods
This course provides an introduction to basic mathematical ideas and computational methods for optimization. Topics include linear programming, integer programming, branch-and-bound, branch-and-cut, as well as first-order gradient-based methods with an emphasis on modeling and data science applications.
Topics
- linear programming
- integer programming
- branch-and-bound
- branch-and-cut
- as well as first-order gradient-based methods with an emphasis on modeling and data science applications
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings