This course includes how to formulate mathematical models for production and service issues, knowledge of the components of contextual linear programming problems, analysis of context problems, post-optimization analysis, and benefit from this course in understanding some of the vocabulary of the numerical analysis course.
Intended learning outcomes
1. To become acquainted with the technique of formulating mathematical models.
2. To recognize the concept of optimization for linear programming issues and its applications.
3. To solve linear programming issues in different ways.
4. To be able to solve the problems associated with linear programming issues and ways to solve them.
Teaching and learning methods
Giving lectures, panel discussions and discussions.