By the end of the course the students will be able to

- make sense of linear programming models and its derivatives such as integer programming and goal-programming
- make sense of sensitivity analysis of linear programs
- interpret simulation models
- define and isolate decision variables from problem statements
- construct the appropriate mathematical models from problem statements
- code the mathematical models into a spreadsheet program(MS Excel)
- solve the models by using MS Excel’s Solver and RiskSim addons
- evaluate and interpret MS Excel spreadsheet outputs, answer report outputs as well as the sensitivity report outputs