University of Arizona 3 credits Systems & Industrial Engr
Stochastic Optimization is an introductory course for graduate students in engineering, operations research, management, etc. The objective of the course is to familiarize students with the challenges that uncertain or randomized data bring into decision making/design process and introduce the general methods and approaches for dealing with such challenges. We will discuss various approaches to modeling of uncertainties and risk in optimization problems, properties of the resulting stochastic programming formulations, and several common techniques for solving stochastic programs.
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