— Dynamic Programming & Multistage Decision Processes

Prerequisites & course information

Course Description: Operations research. Optimization techniques with a focus on dynamic programming in treating deterministic, stochastic, and adaptive multistage decision processes. Brief review of linear programming and non-linear programming. Applications in transportation networks and other civil infrastructure systems. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter.