Introduction to the analysis of decision making under uncertainty with applications to business problems. Topics include Bayesian concepts, decision trees, assessments and revision of probabilities, sensitivity analysis and multicriteria decision making.
Prerequisite(s)/Course Notes: BAN 203. Open only to matriculated graduate students in the Frank G. Zarb School of Business and in other Schools at Hofstra where appropriate. See specific program requirements.