Course Description:

The course is designed keeping in mind a diverse student body with backgrounds in
Engineering, Economics, Mathematics, Statistics, and Biology. The requisite background is
familiarity with basics of linear algebra and matrix calculus.

This introductory course in Optimization will cover the following aspects of Operations Research

1. Optimization modeling with examples drawn from (but not restricted to) production planning, banking, engineerng, and biology.
2. Simplex Method for solving linear programming optimization models.
3. Dynamic programming techniques to solve shortest path problems and solve problems in project management.
4. Integer programming models and branch and bound techniques to for solving them.
5. Using Excel Software to solve linear programming models as well as integer programming models.
6. Deriving managerial inferences from the numerical outputs from software.

Check Syllabus for a more detailed description of the course contents.