EMGT 5154 - Bayesian Analysis for Human Decision

The Bayesian approach to decision-making with numerous applications in engineering, business, and healthcare. Discriminant analysis and ROC curve. Expected value maximization, decision trees, Bayes’ theorem, value of information, Bayesian networks and optimal strategies. Axiomatic utility controversies and prospect theory. Theoretical and empirical determination of utility functions and relationship to human belief network. Brief introduction to multi-attribute problems, time streams, data envelopment analysis, and group decisions.

Credit Hours: (3)
Pre- or Corequisite(s): EMGT 5202 and EMGT 5203, or permission of department
Cross-listed Course(s): SEGR 4154

Schedule of Classes