Operations Research II
This course expands on the material presented in Operations I by exploring operations research modeling techniques in greater breadth and depth. Theoretical underpinnings are discussed for several techniques including simulation, dynamic programming, networks, and integer programming. Stylized case studies are used to provide contexts, and emphasis is placed throughout on interpreting and modeling the decisionmakers' problem. A number of overarching issues are also discussed, including a top-down approach to decision making, advantages and disadvantages of various methods for solving the same problem; verifying, validating, and accrediting models; and dealing with problems having multiple objectives and criteria.