Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Rail Transport Engineering Master with Thesis
  • Course Structure Diagram with Credits
  • Decision Making Techniques
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title RYL555 - Decision Making Techniques
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ FATMA YAŞLI ŞEN
Mode of Delivery Face to Face
Prerequisites N/A
Courses Recomended N/A
Recommended Reading List [1] Mardani, A., Jusoh, A., Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic research-Ekonomska istraživanja, 28(1), 516-571[2] Lai, Young-Jou, Ting-Yun Liu, and Ching-Lai Hwang. "Topsis for MODM." European journal of operational research 76, no. 3 (1994): 486-500.[3] Chai, J., Liu, J. N., & Ngai, E. W. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert systems with applications, 40(10), 3872-3885.[4] Mardani, A., Zavadskas, E. K., Khalifah, Z., Jusoh, A., & Nor, K. M. (2016). Multiple criteria decision-making techniques in transportation systems: A systematic review of the state of the art literature. Transport, 31(3), 359-385.[5] Hamurcu, M., Alağaş, H. M., & Eren, T. (2017). Selection of rail system projects with analytic hierarchy process and goal programming. Sigma Journal of Engineering and Natural Sciences, 8(2), 291-302.[6] Yücel, N., & Taşabat, S. E. (2019). The selection of railway system projects with multi creteria decision making methods: a case study for Istanbul. Procedia Computer Science, 158, 382-393.[7] Yue, Z. (2011). A method for group decision-making based on determining weights of decision makers using TOPSIS. Applied Mathematical Modelling, 35(4), 1926-1936.
Assessment methods and criteria Ara sınav, Ödev, Final
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Decision Making
Week - 2 Decision Making Under Uncertainty
Week - 3 Decision Making under Risk
Week - 4 Graphical Approaches for Decision Problems
Week - 5 Modelling of Decision Problems
Week - 6 Multi-Criteria Decision Making
Week - 7 Multi-Criteria Decision Making
Week - 8 Simple methods - Value-based methods
Week - 9 Multi-Attribute Decision Making
Week - 10 Analytical Hierarchy Process
Week - 11 TOPSIS
Week - 12 Outranking Methods
Week - 13 Group Decision Making
Week - 14 Evaluation of related articles

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Effective use of a foreign language
  • Adapt to different situations and social roles
  • Work in teams
  • Use time effectively
  • Respect differences
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects
  • To work in international projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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