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Applied Operations Research

Course Description: Introduction to Operations Research Methodology and its Applications, Mathematical Modeling, Linear Programming Models, Simplex Algorithm, Duality and Sensitivity Analysis, Transportation and Assignment Models, Network Models, Integer Programming.
Credit hours: 3
Prerequisites: MATH107
Objectives of the course :

(A) Description of the origins and methodology of basic operations research.

(b) Providing examples of operations research applications, particularly in engineering fields.

(c) Developing linear programming formulations to represent a variety of application problems, including transportation, assignment, and network models.

(d) Solving linear programming problems with two variables using the graphical method.

(e) Applying the simplex algorithm to solve linear programming problems.

(W) Explain the role of sensitivity analysis and duality in linear programming.

(Z) Formulation and interpretation of the dual problem for linear programming problems.

(h) Applying specialized algorithms to solve transportation problems and network flow problems.

(e) Developing integer programming formulations to represent a variety of scenarios.

Course outputs :

(A) Define the basic terms of operations research, including mathematical models, optimization, and iterative computations.
(b) Explain the simplex method and its duality.

(c) Explain the transportation model and its variations.

(d) Explain integer linear programming.

(h) Calculate linear programming problems using different methods.
Perform a sensitivity analysis.
(Z) Calculate transportation and assignment problems.
(h) Explain networking problems.
(t) Solve integer linear programming problems.

Additional information:

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