Overview
Description
In-depth understanding of advanced operations research techniques and their applications in solving complex problems encountered in industrial and business settings. The course covers various topics including linear and nonlinear programming, integer programming, dynamic programming, network flows, queuing theory, simulation, and decision analysis.
Requirements
Recommended Preparation
- Numerical methods, programming, and undergraduate-level optimization
Original catalog text
Recommended Preparation
Recommended Preparation: Numerical methods, programming, and undergraduate-level optimization
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Attributes
Standard
Learning Outcomes
- apply engineering research and theory to advance the art, science, and practice of the discipline.
- design and conduct experiments as well as to analyze, interpret, apply, and disseminate the data.
- an understanding of research methodology.
- have an understanding of the mathematical modeling techniques used in operations research.