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Information
| Code | MG6805 |
| Name | Quantitative Decision Making Techniques |
| Term | 2023-2024 Academic Year |
| Term | Fall and Spring |
| 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 Instructor |
1 |
Course Goal / Objective
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 | ||