Particular attention is paid to understanding a variety of current global issues that are important for firms. Examines structures for managerial decision making under conditions of partial information and uncertainty. After developing a foundation in probability theory, the course extends this foundation to a set of methodologies for the analysis of decision problems. Included are topics in probability, statistical inference, and regression analysis. Enhances students' ability to solve complex management problems and make decisions under conditions of uncertainty and competing objectives through the use of formal modeling and quantitative analysis techniques.
Course incorporates probability material, decision models, and decision analysis.
Special emphasis is placed on utilizing models for structuring and analyzing resource allocation problems and decision problems under uncertainty. Topics include linear programming, decision analysis, and simulation. Provides an introduction to the study of the behavior of individuals and groups within organized settings. The relationship of organizations to their environments is also examined. Emphasis is given to managerial strategies which enhance organizational effectiveness.