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. 9. Regression Analysis. 10. Discriminant Analysis. 11. Time-Series Analysis. 12. Simulation. 13. Queuing Theory. 14. Project Management. 15. Decision Analysis.