EMGT 5154: Bayesian Analysis for Human Decision

University of North Carolina, Charlotte

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. Section information text: 100% online course delivered using Canvas. Learn to use Canvas at http://canvas.uncc.edu. This course is restricted to Charlotte Online program, Engineering Management students.Registration questions, contact: [email protected]

Average GPA: 3.80

Grade distribution records: 6 students across 3 terms.

Grade distribution

Based on 6 student grade records across 3 terms and 1 professor.

Instructors

• Simon Hsiang 6 students, Average GPA 3.80