EMG28716

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code EMG28716
Name
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Uzaktan Öğretim
Catalog Information Coordinator


Course Goal

It aims to teach the stages of Multi-Criteria Decision-Making methods that support decision makers at all levels in decision-making processes to make more effective and correct decisions in solving the problems encountered.

Course Content

With the foundation of decision theory, techniques such as Analytical Hierarchy Process, TOPSIS, VIKOR, MOORA and PROMETHEE are applied with Microsoft Excel to help businesses in their decision processes.

Course Precondition

none

Resources

Goodwin P., Wright G. (2010), Decision Analysis for Management Judgement.

Notes

Tzeng, G. and Huang , J.(2011), Multiple Attribute Decision Making Methods and Applications.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 To be able to obtain information about the foundations and analysis of decision theory.
LO02 To be able to obtain information on how multi-criteria decision making techniques such as AHP, TOPSIS, MOORA and PROMETHEE, which support decision analysis, are applied to different business problems.
LO03 To be able to solve Decision Support Systems using Microsoft Excel.
LO04 To list basic theoretical models of business management, numerical and statistical methods, to explain and define their purpose; specify the advantages and weaknesses of each model and / or method
LO05 Explaining how to create theoretical models used in business management, how to apply numerical and statistical methods


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defining the basic functions of the business and explaining their relations with each other from the point of view of technology.
PLO02 Bilgi - Kuramsal, Olgusal Defining the basic numerical and statistical methods that can be used in solving problems that may be encountered in businesses. 5
PLO03 Bilgi - Kuramsal, Olgusal To apply numerical and statistical methods and models used in problem solving in businesses. 5
PLO04 Bilgi - Kuramsal, Olgusal Interpreting the models created for the problems by solving them with software. 5
PLO05 Beceriler - Bilişsel, Uygulamalı To be able to define business problems arising from technological and global changes.
PLO06 Beceriler - Bilişsel, Uygulamalı To be able to solve basic business problems with analytical thinking ability. 4
PLO07 Beceriler - Bilişsel, Uygulamalı To be able to reach the most appropriate result by using numerical and statistical analysis programs in solving the problems arising from the production process and supply chain of the enterprise. 5
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Working effectively as a team member, taking responsibility individually and/or within the team.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Self-development by being aware of change in business life and following technological developments.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Synthesizing the information obtained by using different sources within the framework of academic rules. 3
PLO11 Yetkinlikler - Öğrenme Yetkinliği Applying technological changes and developments to their own field.
PLO12 Yetkinlikler - Öğrenme Yetkinliği To interpret the possible consequences of changes in environmental conditions and technology on the business and its functions. 5
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Effectively presenting the information and comments obtained by using different sources within the framework of academic rules, verbally and in writing. 4
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Effectively using new communication channels that have emerged with technological development in written and oral presentations.
PLO15 Yetkinlikler - Alana Özgü Yetkinlik To act in accordance with ethical and legal issues encountered in business science and different professional fields.
PLO16 Yetkinlikler - Alana Özgü Yetkinlik Identifying the problems that arise in the supply chain and suggesting technological solutions.


Week Plan

Week Topic Preparation Methods
1 Basic concepts Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Basic Concepts continuation and Decision Theory Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Decision Making Process and Types Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Decision Making Under Certainty and Uncertainty Reading the relevant sources Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Tartışma
5 Multi-Criteria Decision Making Techniques Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Multiobjective Decision Making Techniques Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 One-Criterion Decision Making Techniques Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-term Exam preparation Ölçme Yöntemleri:
Ödev
9 Analytical Hierarchy Process Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Application of Analytical Hierarchy Process Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 TOPSIS Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Application of TOPSIS method Reading the relevant sources Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Tartışma
13 MOORA Reading the relevant sources Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Tartışma
14 Application of MOORA Reading the relevant sources Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Tartışma
15 Promethee Reading the relevant sources Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Tartışma
16 An Overview Reading the relevant sources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
17 Final exam Exam preparation Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS