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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 4026 MULTI-CRITERIA DECISION MAKING ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR EFE SARIBAY

Offered to

Econometrics Econometrics (Evening)

Course Objective

The main objective of the course is to investigate decision problems in companies, to understand the nature of multi-criteria decision making problems, and to select the most appropriate method for solution

Learning Outcomes of the Course Unit

1   To be able to determine the importance of decision problem 2   To be able to define the psychological decision environment according to decision maker, 3   To be able to constitute, to normalize and to interpret data set 4   To be able to select the most appropriate multi-criteria decision making method 5   To be able to manage the decision process.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Multi-criteria decision making theory 2 Modelling the decision problem, constitution and normalization of data set 3 Analytical Hierarchy Process (AHP) 4 Computer solutions of AHP method 5 Analytical Network Process (ANP) 6 Computer solutions of AHP method 7 ELECTRE 8 Mid-term 9 Mid-term 10 TOPSIS 11 Computer solutions of ELECTRE and TOPSIS methods 12 VIKOR 13 Computer solution of VIKOR method 14 Presentation of student projects

Recomended or Required Reading

1. Clemen R.T., Reilly T., 2001, Making Hard Decisions (2nd, ed.), Duxbury, 733 p. 2. Wang J.X., 2002, What Every Engineer Should Know About: Decision Making Under Uncertainty,2002, Marcel Dekker Inc., 312 p. 3. Pomerol J.C., Romero S.B., 2000, Multicriterion Decision in Management, Kluwer, 395. 4. Karar Verme Yöntemleri, Kaan Yaralıoğlu

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions, overhead projections, and demonstrations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 25 25 Preparation for final exam 1 28 28 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 1 LO.2 1 1 LO.3 1 LO.4 1 LO.5 1