TÜRKÇE
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Information
| Code | EMG28718 |
| Name | |
| 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 |
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 | ||