Engineering Decision Theory

Catalog description

This course introduces stochastic decision-making methods for complex engineering systems. Topics include decision analysis, Markov chains, Markov decision processes, and queueing theory. Emphasis is placed on modeling uncertainty, evaluating system performance, and optimizing decision policies. Applications in industrial engineering are highlighted through real-world case studies and mathematical modeling.