IE 305 Operations Research II Fall 2010 Instructor : Z. Caner Taşkın, M 4010. x7074, firstname.lastname@example.org TA : M. Emre Keskin, SESDYN, x7343, email@example.com Class schedule: MMF 121 PS schedule : W12 Prerequisites : IE 202 Operations Research I: Linear Models or equivalent IE 255 Probability for IE or equivalent Description This is an introductory level course to the most widely used nonlinear mathematical programming methods and analysis of random processes. The first part of the course starts with simple single dimensional optimization and follows a path with gradually increasing complexity towards multi dimensional constrained optimization. The second part of the presents some decision making procedures under uncertainty including probabilistic dynamic programming, and then focuses on the fundamentals of Markov models and the Markov decision processes. Finally, probabilistic inventory and queuing problems are discussed.
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