Curriculum Change Parameters Determined by Multi Criteria Decision Making (MCDM)

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Date

2014

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Publisher

Elsevier Science Bv

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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

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Abstract

Curriculum, research, instruction, learning and assessment are the pulse of the university. The main purpose of this study is to fill a substantial knowledge gap regarding reaching a uniform group decision in Industrial engineering curriculum design and planning. A comprehensive quality based course criterion model extracted from existing literature and expert opinions was developed. Multi Criteria Decision Making (MCDA) was used to identify the relative importance of course criteria for the purpose of tailoring an optimal four Industrial engineering curriculum for Bachelor's Degree students in Turkey.. The hierarchical model and analysis utilized in the present study will be useful for resolving several important multi-criteria decision-making issues in planning and evaluating Industrial Engineering programs. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Academic World Education and Research Center.

Description

Erkan, Turan Erman/0000-0002-0078-711X; Erkan, Turan Erman/0000-0002-0078-711X; Erdebilli, Babek/0000-0001-8860-3903

Keywords

Curriculum and Instruction, Multi Criteria Decision Making (MCDA)

Turkish CoHE Thesis Center URL

Citation

6

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Scopus Q

Source

5th World Conference on Educational Sciences (WCES) -- FEB 05-08, 2013 -- Rome Sapienza Univ, Rome, ITALY

Volume

116

Issue

Start Page

1744

End Page

1747

URI

https://doi.org/10.1016/j.sbspro.2014.01.466
 https://hdl.handle.net/20.500.14411/75

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