Akademik Dersler - İçerik

1. Explain basic concepts of optimization, modelling and linear modeling (LP)
Explain the operations research methodology and the problem solving approach.
Define the LP’s assumptions and contents.
Explain the mathematical background of LP.
Model the decision making problems by using LP techniques
Explain the linear decision model’s components conceptually.
Construct LP models for various type of problems.
solve a problem modelled with LP
Distinguish the feasible solution, optimal solution and basic feasible solution
Solve two variable-LP problems with graphical method
Explain the theory of Simplex Algorithm and approach.
Solve LP models by using Simplex Algorithm and its different types (Two-phased, Big M, Revised Simplex, Dual Simplex).
Evaluate different situations after the solution of LP model.
make the duality and sensitivity analysis of the LP model
Associate the Primal and Dual models.
Construct the dual model of a given LP model.
Explain economic meanings of dual variables.
Analyze sensitivity of the optimum solution according to changes in the model parameters and model structure.
use software for the solution of LP models
Implement Excel and GAMS (the general algebraic modeling system) softwares to solve LP models
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