EMG28718

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

Information

Code EMG28718
Name
Term 2024-2025 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


Course Goal / Objective

Yönetimde karşılaşılabilecek bir problemi sezebilmek ve yöneylem araştırması penceresinden problemlere yaklaşabilmek

Course Content

The course, which starts with the basics of operations research, includes linear programming technique, transportation and assignment problems, network models, dynamic programming, vehicle routing problems, and applications of these techniques on business problems.

Course Precondition

None

Resources

İşletme Yöneticileri için Excel İle Sayısal Karar Verme Teknikleri, Erkut DÜZAKIN, ADANA. Operations Research: Applications and Algorithms Fourth Edition, Wayne L. Winston, Duxbury Press Numerical Decision Making Techniques with Excel for Business Managers, Erkut DÜZAKIN, ADANA. Operations Research: Applications and Algorithms Fourth Edition, Wayne L. Winston, Duxbury Press Python Lecture Notes

Notes

Kantitatif Karar Verme Teknikleri, Osman HALAÇ,İSTANBUL. Yöneylem Araştırması, Ahmet ÖZTÜRK, BURSA.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Listing and defining Numerical Methods concepts and explaining the relationships between the concepts
LO02 Listing the basic theoretical models, numerical and statistical methods of business management, defining and explaining their usage purposes; specifying the strengths and weaknesses of each model and/or method
LO03 Identify the appropriate methods for solving business problems
LO04 Identifying appropriate methods for solving business problems faced
LO05 Reaching the optimal result using the Python programming language


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. 3
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.
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.
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.
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. 2


Week Plan

Week Topic Preparation Methods
1 Introduction to Python Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
2 Python Basics Reading the given materials Öğretim Yöntemleri:
Anlatım, Tartışma
3 Linear programming problems and formulation Reading the given materials Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Solving linear programming problems with Python Reading the given materials Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 Assignment Problems Reading the given materials Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Solving assignment problems with Python Reading the given materials Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Network models Reading the given materials Öğretim Yöntemleri:
Anlatım, Problem Çözme
8 Midterm Exam Exam Preparation Ölçme Yöntemleri:
Ödev
9 Solution of network models with Python Reading the given materials Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Dynamic programming Reading the given materials Öğretim Yöntemleri:
Anlatım, Problem Çözme
11 Solving dynamic programming problems with Python Reading the given materials Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Traveling salesman problems Reading the given materials Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 Solving traveling salesman problems with Python Reading the given materials Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Vehicle routing problems Reading the given materials Öğretim Yöntemleri:
Anlatım, Problem Çözme
15 Solving vehicle routing problems with Python Reading the given materials Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Final Exam Exam Preparation Ölçme Yöntemleri:
Yazılı Sınav
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

Update Time: 07.05.2024 04:59