Description: A study of analytical approaches in management science that assist managerial decision-making under conditions of both certainty and uncertainty. Attention will be given to the formulation of quantitative models from a variety of areas. Topics include linear programming, transportation/assignment problems, integer programming, multi-criteria decisions, dynamic programming, decision analysis, queueing theory, and simulation.