This course introduces mathematical tools necessary and sufficient to formulate and solve problems arised in industrial and Management Engineering research works. It gives an overview for different types of programming such goal programing, dynamic programing and integer programing. In addition, stochastic processes and fuzzy variables are included.
PhD
Data will be available soon!
| content serial | Description |
|---|---|
| 1 | Introduction and objectives |
| 2 | Goal Programming |
| 3 | Dynamic Programming |
| 4 | Integer Programming |
| 5 | Multiple Regression Analysis |
| 6 | Tests For Goodness of Fit |
| 7 | Decision Analysis under Uncertainty |
| 8 | Mathematics of Fuzzy Variables |
| 9 | Decision Analysis under Epistemic Uncertainty |
| 10 | Theory of Markov Analysis |
| 11 | Applications of Markov Analysis |
| 12 | Stochastic Processes |
| 13 | Theory of Games and its Applications |
| 14 | Clustering Techniques |
| 15 | Revisions |
| 16 | Final Exam |
Start your application
