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

1. understand the general principles of linear programming.

2. formulate and build linear programming models, understand how to solve linear programming problems and how to make sensitivity analysis.

3. attain an understanding of the basic concepts and solution approaches to multi-criteria decision making problems.

4. develop an understanding of the conflicts among different parties and analyze the interactions among decision-makers.

5. solve large scale linear programs using software and interpret software output.