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Eskişehir Academy of Economic and Commercial Sciences, founded in 1958, formed the basis of Anadolu University. The Academy was replaced by Anadolu University in 1982, which has gained a well-deserved place as a modern, dynamic and innovative institution among the largest universities not only in Türkiye, but also in the world.
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Anadolu University Open Education System plays an essential role in overcoming educational problems of Türkiye not only by providing open and distance education to 1 million active students and 3.5 million graduates but also by developing specific projects. Besides with those numbers, the system is among the mega universities of the world. By the constantly renewing method of open and distance education, it implements many initiatives and innovations in the Turkish Higher Education System.
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Kısa adıyla BAP (Bilimsel Araştırma Projeleri), yüksek öğretim kurumlarındaki bilimsel araştırmaların desteklenmesi amacıyla geliştirilmiş bir uygulamadır. Bu uygulama YÖK'ün 01.01.2002 tarihinden geçerli olmak üzere yürülüğe aldığı Yükseköğretim Kurumları Bilimsel Araştırma Projeleri Hakkında Yönetmelik uyarınca gerçekleştirilmektedir. Üniversitemizin tüm öğretim elemanları BAP Komisyonuna başvurarak bilimsel araştırmaları için kaynak alabilirler.
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At Anadolu University, social and cultural activities are as important as education and scientific research. The University frequently holds scientific events such as conferences, seminars, panels, congresses and symposia, and cultural activities such as exhibitions, stage performances and concerts. In addition to smaller conference halls in each unit, Atatürk Culture and Arts Center, Congress Center and Cinema Anadolu on Yunusemre Campus house many activities throughout the year.

OPERATIONAL RESEARCH I

Learning Outcomes

develop linear programming (LP) models for real-life decision making problems.
explain the operations research methodology and problem solving approah.
explain the fundamentals, assumptions and components of LP.
distinguish the LP models from other mathematical models.
formulate the decision making problems using LP methods.
solve LP models.
explain mathematical essentials of LP.
solve the two variable LP problems graphically.
explain the approach and theory of the simplex algorithm.
arrange the initial simplex tableau and solves the LP model.
solve the LP model using artificial variable techniques (two-phase method, Big_M method).
evaluate the obtained results from the simplex tableau.
interpret the duality in linear programming and make the sensitivity analysis.
explain the rlatinship between primal and dual models.
interpret the dual variables (shadow prices).
solve the LPmodel using the dual simplex method.
investigate the effects on the changes in the optimal solution with sensitivity analysis.
use goal programming approach.
formulate a multicriteria LP problem with the aid of goal programming.
apply weighted and preemptive goal programming models.
solve transportation, assignment, and transshipment problems using special algorithms.
develop LP models for the problems.
find optimum solution implementing iterations in a transportation tableau.
use Hungarian method to solve assignment problem.
use computer softwares for solving LP models.
use Lingo, Gams, Excel, Winqsb, Qm, and Tora for solving LP models.
interpret the output reports making technical and economical analysis.
prepare a research project on LP applications.
recognize the real-world LP aplications.
investigate the articles published in international refereed journals using electronic database.
report a formal proposal written considering project writing guide.