Operations Research

Catalog description

An introduction to optimization through mathematical programming and stochastic modeling techniques. Course topics include linear programming, and transportation and assignment algorithms. Special attention is placed on sensitivity analysis and the need of optimization in decision-making. The course is delivered through lectures and a weekly laboratory where students learn to use state-of-the-art software packages for modeling large discrete optimization problems.