EMG24704 Quantitative Decision Techniques

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

Information

Code EMG24704
Name Quantitative Decision Techniques
Term 2023-2024 Academic Year
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 Dr. Öğr. Üyesi MERT DEMİRCİOĞLU


Course Goal / Objective

This course aimsto give the students the ability to perceive the problems that can be faced in management and to approach these problems with operation research techniques.

Course Content

This course starts with the fundamentals of operation research and it continues with what linear programming,transportation and assignment problems are and it gives information on how to reach solutions to business problems by applying these techniques

Course Precondition

None

Resources

Winston, W. L., Goldberg, J. B. (2004). Operations research: applications and algorithms (Vol. 3). Belmont: Thomson Brooks/Cole

Notes

Yöneylem Araştırması (6. Basımdan Çeviri) Hamdy A. Taha Literatür


Course Learning Outcomes

Order Course Learning Outcomes
LO01 List the concepts of Production Management and Numerical Methods, define and explain the relationship between concepts
LO02 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
LO03 Explaining how to create theoretical models used in business management, how to apply numerical and statistical methods
LO04 Identify the appropriate methods for solving business problems
LO05 Achieving optimal results by using basic numerical and statistical analysis programs


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.
PLO02 Bilgi - Kuramsal, Olgusal Defining the basic theories and models of business management, numerical and statistical methods. 5
PLO03 Bilgi - Kuramsal, Olgusal Applying the models used in business management. 3
PLO04 Bilgi - Kuramsal, Olgusal Evaluating the results of the models applied in business management in terms of different sectors.
PLO05 Beceriler - Bilişsel, Uygulamalı To be able to define business problems arising from internal and external environmental conditions and changes.
PLO06 Beceriler - Bilişsel, Uygulamalı To be able to solve basic business problems with analytical thinking ability. 5
PLO07 Beceriler - Bilişsel, Uygulamalı To be able to reach the most appropriate result by using numerical and statistical analysis programs in the solution of business problems. 2
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 following current developments with the awareness of the continuity of learning in business life.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Synthesizing the information obtained by using different sources within the framework of academic rules.
PLO11 Yetkinlikler - Öğrenme Yetkinliği To be able to associate the knowledge gained in the field of business with the knowledge in different fields. 3
PLO12 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.
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Using terms and concepts in business terminology effectively in written and oral presentations.
PLO14 Yetkinlikler - Alana Özgü Yetkinlik To act in accordance with ethical and legal issues encountered in the field of business administration and in different professional fields.
PLO15 Yetkinlikler - Alana Özgü Yetkinlik Identifying problems with a critical perspective and suggesting solutions.


Week Plan

Week Topic Preparation Methods
1 Fundamentals of Operation Research Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
2 Introduction to Linear Programming Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
3 Problems and Mathematical Formulation Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
4 Graphical Solution of Linear Programming Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
5 Simplex Method Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
6 Simplex Solution Method Continued Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
7 Unusual Circumstances of Linear Programming Reading the given materials Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Exam Preparation Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 Duality and Sensivity Analysis Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
10 Transportation Models Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
11 Unusual Circumstances of Transportations Model Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
12 Introduciton to Mathematical Programming Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
13 Project Management Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
14 Critical Path Method Reading the given materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Program Evaluation and Review Technique Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
16 Final Exams Exam Preparation Ölçme Yöntemleri:
Yazılı Sınav, Ödev
17 Final Exams Exam Preparation Ölçme Yöntemleri:
Yazılı Sınav, Ödev


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

Update Time: 05.06.2023 11:42