| Course Name | Quantitative Methods |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| EISL 503 | Fall/Spring | 3 | 0 | 3 | 5 |
| Prerequisites | None | |||||
| Course Language | Turkish | |||||
| Course Type | Service Course | |||||
| Course Level | Second Cycle | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | ||||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | ||||||
| Course Objectives | This course aims at teaching a variety of management science methods useful in solving management problems in many areas such as Marketing, Finance, and Production so that the students can gain a quantitative foundation in basic mathematical modeling and problem solving that will be helpful in the higher level courses such as Operations Management and Production Planning and Inventory Control. |
| Learning Outcomes | The students who succeeded in this course; |
| Course Description | The main emphasis of the course is how to model a managerial problem using mathematical modeling (Linear programming and Integer programming). Many examples from different application areas are given. |
| Related Sustainable Development Goals | |
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| Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Required Materials |
| 1 | Introduction to Management Science | Course Notes |
| 2 | Linear Programming: Model Formulation and Graphical Solution | Course Notes |
| 3 | Linear Programming: Computer Solution and Sensitivity Analysis | Course Notes |
| 4 | Linear Programming: Modeling Examples | Course Notes |
| 5 | Linear Programming: Modeling Examples | Course Notes |
| 6 | Integer Programming | Course Notes |
| 7 | Integer Programming | Course Notes |
| 8 | MIDTERM EXAM & Transportation, Transshipment and Assignment Problems | Course Notes |
| 9 | Transportation, Transshipment, and Assignment Problems | Course Notes |
| 10 | Network Flow Problems | Course Notes |
| 11 | Project Management | Course Notes |
| 12 | Project Management | Course Notes |
| 13 | Decision Analysis | Course Notes |
| 14 | Decision Analysis | Course Notes |
| 15 | Review of the Semester | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Sayısal Yöntemler, Yönetsel Yaklaşım, Tütek. H., Gümüşoğlu, Ş., 2012, Beta Yayınları ISBN: 6053335344 Yöneylem Araştırması, , Taha, H. 2010, 6. Basımdan Çeviri, (Çeviren ve Uyarlayanlar: Ş. Alp Baray ve Şakir Esnaf), Literatür Yayınları:43, İstanbul ISBN: 9758431064 Yöneylem Araştırması, Öztürk, A., 1997, Genişletilmiş V. Basım, Ekin Kitapevi Yayınları, Bursa ISBN: 9758768301 Introduction to Management Science. Bernard W. Taylor III, 12th Edition, 2016, Prentice Hall, New Jersey ISBN-13: 978-0133778847 |
| Suggested Readings/Materials | Course notes will be given from the above-mentioned books. |
| Semester Activities | Number | Weigthing |
| Participation | 1 | 5 |
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 15 |
| Final Exam | 1 | 80 |
| Total |
| Weighting of Semester Activities on the Final Grade | 2 | 20 |
| Weighting of End-of-Semester Activities on the Final Grade | 1 | 80 |
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
| Study Hours Out of Class | 15 | 6 | 90 |
| Field Work | |||
| Quizzes / Studio Critiques | |||
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | |||
| Project | |||
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 20 | |
| Final Exams | 1 | 32 | |
| Total | 190 |
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
