University at Buffalo 3 credits Industrial and Systems Engineering
This course provides an overview of modeling techniques and methods used in decision making with uncertainty, including multi-attribute utility models, influence diagrams, decision trees, and Bayesian models. Psychological components of decision making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted, including business management, supply chain and logistics, transportation, health care, architectural design, and homeland security. Each student will work on a separate project throughout the semester, including presentations and written reports.
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