Mersin Üniversitesi
Ders Bilgileri
| OPERATİONS RESEARCH | ||||||
|---|---|---|---|---|---|---|
| Kodu | Dönemi | Teori | Uygulama | Ulusal Kredisi | AKTS Kredisi | |
| Saat / Hafta | ||||||
| İBY298 | Spring | 2 | 2 | 3 | 0 | |
| Ön Koşulu Olan Ders( ler ) | None |
| Dili | en |
| Türü | Required |
| Seviyesi | Bachelor's |
| Öğretim Elemanı( ları ) | Dr. Evrim Ersin Kangal |
| Öğretim Sistemi | Face to Face |
| Önerilen Hususlar | None |
| Staj Durumu | None |
| Amacı | Introduce the students with common and complex business problems and provide them with the ability to solve such problems by mathematical modeling approach. |
| İçeriği | Network models, game theory, queuing models. |
Dersin Öğrenim Çıktıları
| # | Öğrenim Çıktıları |
|---|---|
| 1 | Define the decision making process in business environment. |
| 2 | Define the problem solving process in business environment. |
| 3 | Analyze the systems inside and around the business. |
| 4 | Construct mathematical models of the systems inside and around the business. |
| 5 | Define and apply the solution methods for several mathematical models. |
| 6 | Determine the most appropriate solution method among several alternative solution methods. |
| 7 | Interpret the solution results from mathematical models. |
| 8 | Provide analytical solutions to common and complex business problems. |
Haftalık Ayrıntılı Ders İçeriği
| # | Konular | Öğretim Yöntem ve Teknikleri |
|---|---|---|
| 1 | Introduction to network models | Lecturing, discussion |
| 2 | Structure and elements of networks | Lecturing, discussion |
| 3 | Minimum spanning tree problems | Lecturing, guided problem solving |
| 4 | Shortest distance problems | Lecturing, guided problem solving |
| 5 | Maximum flow problems | Lecturing, guided problem solving |
| 6 | Introduction to game theory and game types | Lecturing, discussion |
| 7 | Payoff table in games | Lecturing, discussion |
| 8 | Mid-term exam | Written exam |
| 9 | Solution to decisive games and pure strategies | Lecturing, guided problem solving |
| 10 | Solution to indecisive games and mixed strategies | Lecturing, guided problem solving |
| 11 | Graphical Method for Solving Indecisive Games | Lecturing, guided problem solving |
| 12 | Linear programming approach for solving indecisive games | Lecturing, guided problem solving |
| 13 | Introduction to queuing theory and queuing models | Lecturing, discussion |
| 14 | Single channel queuing models | Lecturing, guided problem solving |
| 15 | Multi channel queuing models | Lecturing, guided problem solving |
| 16 | Final exam |
Resources
| # | Malzeme / Kaynak Adı | Kaynak Hakkında Bilgi | Referans / Önerilen Kaynak |
|---|---|---|---|
| 1 | Taha, H. A. (2010). Yöneylem Araştırması. 6. Baskıdan Çeviren Ş. Alp Baray ve Şakir Esnaf. İstanbul: Literatür Yayıncılık. | ||
| 2 | Öztürk, A. (2009). Yöneylem Araştırması. 12. Basım. Bursa: Ekin Basım Yayın. | ||
| 3 | Tecim, V. (Ed.) (2011). Yöneylem Araştırması. İstanbul: Lisans Yayıncılık. |
Ölçme ve Değerlendirme Sistemi
| # | Ağırlık | Çalışma Türü | Çalışma Adı |
|---|---|---|---|
| 1 | 0.4 | 1 | 1. Mid-Term Exam |
| 2 | 0.6 | 5 | Final Exam |
Dersin Öğrenim Çıktıları ve Program Yeterlilikleri ile İlişkileri
| # | Öğrenim Çıktıları | Program Çıktıları | Ölçme ve Değerlendirme |
|---|---|---|---|
| 1 | Define the decision making process in business environment. | 4͵7 | 1͵2 |
| 2 | Define the problem solving process in business environment. | 4͵7 | 1͵2 |
| 3 | Analyze the systems inside and around the business. | 4͵7 | 1͵2 |
| 4 | Construct mathematical models of the systems inside and around the business. | 4͵7 | 1͵2 |
| 5 | Define and apply the solution methods for several mathematical models. | 4͵7 | 1͵2 |
| 6 | Determine the most appropriate solution method among several alternative solution methods. | 4͵7 | 1͵2 |
| 7 | Interpret the solution results from mathematical models. | 4͵7 | 1͵2 |
| 8 | Provide analytical solutions to common and complex business problems. | 4͵7 | 1͵2 |
Not: Ölçme ve Değerlendirme sütununda belirtilen sayılar, bir üstte bulunan Ölçme ve Değerlerndirme Sistemi başlıklı tabloda belirtilen çalışmaları işaret etmektedir.
İş Yükü Detayları
| # | Etkinlik | Adet | Süre (Saat) | İş Yükü |
|---|---|---|---|---|
| 0 | Course Duration | 14 | 4 | 56 |
| 1 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 4 | 56 |
| 2 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 3 | Web Research, Library and Archival Work | 0 | 0 | 0 |
| 4 | Document/Information Listing | 0 | 0 | 0 |
| 5 | Workshop | 0 | 0 | 0 |
| 6 | Preparation for Midterm Exam | 1 | 6 | 6 |
| 7 | Midterm Exam | 1 | 1 | 1 |
| 8 | Quiz | 0 | 0 | 0 |
| 9 | Homework | 0 | 0 | 0 |
| 10 | Midterm Project | 0 | 0 | 0 |
| 11 | Midterm Exercise | 0 | 0 | 0 |
| 12 | Final Project | 0 | 0 | 0 |
| 13 | Final Exercise | 0 | 0 | 0 |
| 14 | Preparation for Final Exam | 1 | 5 | 5 |
| 15 | Final Exam | 1 | 1 | 1 |
| 125 | ||||