Course description

Introduction to the problems and methods of operations research and information engineering focusing on problem areas (including inventory, network design, and resource allocation), the situations in which these problems arise, and several standard solution techniques. In the computational laboratory, students encounter problem simulations and use some standard commercial software packages.

Outcome 1: Understand the breadth of quantitative decision situations that arise in engineering, industry, and society.

Outcome 2: Develop the skills needed for mathematical modeling of real-world decision situations.

Outcome 3: Learn fundamental algorithms used to solve such models and the basic mathematical techniques of validating the accuracy and efficiency of these solution methods.

Outcome 4: Build familiarity with current software used in the computational analysis of these models.

Not open to: ORIE upper-level majors.

Summer 2024: Ithaca campus