MG6805 Quantitative Decision Making Techniques

8 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Code MG6805
Name Quantitative Decision Making Techniques
Semester . Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. BEHİYE GÜLSÜN KARAÇAY


Course Goal

This course aims to be able to solve managerial problems with operation researchs techniques.

Course Content

This course starts with the fundamentals of management science and it continues what linear programming,transportation and assignment problems are and how to reach solutions of business problems by applying these techiques.

Course Precondition

no prerequisites

Resources

Quantitative Methods for Decision Makers, Mik Wisniewski, Pearson Decision Analysis for Managers, David Charlesworth, Business Expert Press

Notes

Sayısal Karar Verme Yöntemleri, Ramazan Aktaş vd., Beta Basım Yayın


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understand which problems are linear programming problems or not.
LO02 Define the linear programming problems and build the model.
LO03 Solve the linear programming model and use its solutions to make comment about business applications.
LO04 Distinguish between transportation and assignment problems and to solve and evaluate the solutions.
LO05 Use some solvers to reach solutions of quantitative decision making problems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains the basic theoretical models for business field
PLO02 Bilgi - Kuramsal, Olgusal Lists and identifies the theories that will contribute to the development of scientific methods and tools used in business
PLO03 Bilgi - Kuramsal, Olgusal Has an understanding of the legal and ethical issues faced by the Business profession
PLO04 Bilgi - Kuramsal, Olgusal Explains how to interpret the findings as a result of models used in business methods. 4
PLO05 Bilgi - Kuramsal, Olgusal Creates sufficient knowledge to find a solution to the problems met by business
PLO06 Bilgi - Kuramsal, Olgusal Contributes to business by following the basic steps of the methods used in business 2
PLO07 Bilgi - Kuramsal, Olgusal Apply the application of business management methods. 2
PLO08 Bilgi - Kuramsal, Olgusal Encourages taking responsibility, claiming the lead and working effectively in a team and / or individually.
PLO09 Beceriler - Bilişsel, Uygulamalı Keeps track of the latest developments in the field as a recognition of the need for lifelong learning and constant renewal 2
PLO10 Beceriler - Bilişsel, Uygulamalı Utilizes scientific sources in the field, collect the data, synthesizes the obtained information and presents the outcomes effectively 3
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Has a good command of Turkish, as well as at least one another foreign language in accordance with the requirements of academic and work life
PLO12 Yetkinlikler - Öğrenme Yetkinliği Develops and implements new research methods that will contribute to the development of the business field
PLO13 Yetkinlikler - Öğrenme Yetkinliği Develops new guidelines for the business managers’ decision making processes by researching on sub-disciplines of the business field. 4
PLO14 Yetkinlikler - Öğrenme Yetkinliği Forms the basis for the decision-making process by researching on the science of business field 3


Week Plan

Week Topic Preparation Methods
1 Fundamentals of Management Science and operational research Reading related topics Öğretim Yöntemleri:
Anlatım
2 Decision theory Reading related topics Öğretim Yöntemleri:
Anlatım
3 Decision theory 2 Reading related topics Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
4 Forecasting methods Reading related topics Öğretim Yöntemleri:
Anlatım
5 Forecasting methods and applications - 2 Reading related topics, solving examples Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
6 Fundamentals of mathematical programming Reading related topics Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Mathematical programming Reading related topics, solving examples Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Studying Ölçme Yöntemleri:
Yazılı Sınav
9 Fundamentals of linear programming Reading related topics Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Linear programming Reading related topics, solving examples Öğretim Yöntemleri:
Anlatım
11 Applications on linear programming Reading related topics Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Duality and sensivity analysis Reading related topics Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Duality and sensivity analysis - 2 Reading related topics Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Transportation models Reading related topics Öğretim Yöntemleri:
Anlatım
15 Transportation models - 2 Reading related topics, solving examples Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
16 Term Exams Studying Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Studying Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS