Advanced Modeling Techniques

  • Industrial & Management Engineering |

Description

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.

Program

PhD

Objectives

  • To solve problems that arise in Industrial and Management Engineering.

Textbook

Data will be available soon!

Course Content

content serial Description
1Introduction and objectives
2Goal Programming
3Dynamic Programming
4Integer Programming
5Multiple Regression Analysis
6Tests For Goodness of Fit
7Decision Analysis under Uncertainty
8Mathematics of Fuzzy Variables
9Decision Analysis under Epistemic Uncertainty
10Theory of Markov Analysis
11Applications of Markov Analysis
12Stochastic Processes
13Theory of Games and its Applications
14Clustering Techniques
15Revisions
16Final Exam

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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