DCSN 205Managerial Decision Making

This course is a spreadsheet-based introduction to the tools and techniques of modern managerial decision making. It addresses formulation of models that can be used to analyze complex problems taken from various functional areas of management, including finance, marketing, operations, and human resources. The goal is to understand how business decisions are reached, what tradeoffs are made, and how outcomes depend on the underlying data. A broad range of analytical methods is covered, including linear programming, integer linear programming, non-linear programming, multi-objective decision analysis, decision trees, queuing and service models, and Monte Carlo simulation. Software packages like Excel, Tree Plan, and Crystal Ball will be used.