This course provides an in-depth study of stochastic models used in operations research for decision-making under uncertainty. Topics include probability theory review, decision analysis, Markov chains, Poisson processes, queueing theory, inventory models, reliability analysis, and game theory. Students will learn how to formulate, analyze, and apply stochastic models to real-world problems. The course emphasizes both theoretical foundations and practical applications, incorporating case studies and computational tools for model implementation.
Corequisites
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