1. Introduction to Modeling and Decision Analysis.
2. Introduction to Optimization and Linear Programming.
3. Modeling and Solving LP Problems in a Spreadsheet.
4. Sensitivity Analysis and the Simplex Method.
5. Network Modeling.
6. Integer Linear Programming.
7. Goal Programming and Multiple Objective Optimization.
8. Nonlinear Programming & Evolutionary Optimization.
9. Regression Analysis.
10. Discriminant Analysis.
11. Time Series Forecasting.
12. Introduction to Simulation using Crystal Ball.
13. Queuing Theory.
14. Project Management.
15. Decision Analysis.