Aim of the course

Operations research (OR) has many applications in science, engineering, economics, and industry, and thus the ability to solve OR problems is crucial for both researchers and practitioners. Being able to solve real-life problems and obtaining the right solution requires understanding and modeling the problem correctly and applying appropriate optimization tools and skills to solve the mathematical model. This course aims to enable the students to formulate, analyze, and solve mathematical models that represent real-world problems. The module covers topics that include: Linear programming, Transportation, Assignment, CPM/ PERT techniques, Decision theory, and Inventory models.

Intended Learning Objectives/Outcomes

At the end of this course students will be able to:

1.   identify quantitative method and techniques to enhance the problem-solving process of real world

2.   direct scare resources for the optimal among other alternatives