MATH-315 Introduction to Optimization
Optimization is the mathematical discipline of making the best possible decisions subject to constraints. This course introduces students to the fundamental ideas and techniques of optimization, with applications in business, economics, engineering, data science, logistics, and machine learning. Topics include linear programming, simplex methods, duality, unconstrained and constrained optimization, Lagrange multipliers, and convexity.
Prerequisite
Student has completed all of the following course(s) CMPSC 131 - Computer Science I, MATH 166 - Calculus II