TÜRKÇE
ENGLISH
Information
| Code | ISB404 |
| Name | Operations Research |
| Term | 2024-2025 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. NİMET ÖZBAY |
| Course Instructor |
1 2 |
Course Goal / Objective
The aim of this course is to to teach operations research techniques, to develop the ability to build models and apply solution methods of different models
Course Content
In this course, The Assignment Model, Network Models, Shortest Path Problem, Maximum Flow Model, Minumum Cost Flow Problem, Critical Path Method, PERT Analysis, Parametric Linear Programming, Goal Programming topics are covered
Course Precondition
None
Resources
-Yöneylem Araştırması, Prof.Dr. Ahmet Öztürk, Ekin Basım Yayın, 2016, 894s. -Yöneylem Araştırması, Hamdy A. Taha, Literatür Yayıncılık, 2003.
Notes
-İşletmede Sayısal Yöntemler ve Winqsb Uygulamaları, Prof.Dr. İsmail Erdem, Seçkin Yayıncılık, 2017, 535s.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Solves the assignment models |
| LO02 | Defines the network models, solves the shortest path problems |
| LO03 | Explains the maximum flow model and solves related examples |
| LO04 | Defines the minimum cost flow problems and solves related examples |
| LO05 | Uses the critical path method |
| LO06 | Uses the PERT method |
| LO07 | Applies parametric linear programming models and various solution methods |
| LO08 | Applies goal programming models and various solution methods |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Statistics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 2 |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Assignment Model | Source reading | Öğretim Yöntemleri: Anlatım |
| 2 | Application of the Hungarian Method | Source reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Network Models | Source reading | Öğretim Yöntemleri: Anlatım |
| 4 | Shortest Path Problem | Source reading | Öğretim Yöntemleri: Problem Çözme |
| 5 | Maximum Flow Model | Source reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Soru-Cevap |
| 6 | Minumum Cost Flow Problem | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme, Bireysel Çalışma |
| 7 | Critical Path Method | Source reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme, Bireysel Çalışma |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Problem Solving | Source reading | Öğretim Yöntemleri: Problem Çözme, Soru-Cevap |
| 10 | PERT Analysis | Source reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 11 | Critical Path Method and PERT Analysis Applications | Source reading | Öğretim Yöntemleri: Problem Çözme, Beyin Fırtınası, Soru-Cevap |
| 12 | Parametric Linear Programming | Source reading | Öğretim Yöntemleri: Anlatım |
| 13 | Analysis of Systematic Variation in Objective Function Parameters | Source reading | Öğretim Yöntemleri: Problem Çözme, Soru-Cevap |
| 14 | Analysis of Systematic Change in Right Side Parameters | Source reading | Öğretim Yöntemleri: Problem Çözme |
| 15 | Goal Programming | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 16 | Term Exams | Review the topics discussed in the lecture notes and sources | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources | 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 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||