International Trade and Logistics Doctorate
Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of International Trade and Logistics Doctorate
Course Details
Graduate Education Institute
Programme of International Trade and Logistics Doctorate
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 83111115 | Mathematical Modeling in International Logistics | 2023 | Autumn | 1 | 3+0+0 | 7 | 7 |
| Course Type | Elective |
| Course Cycle | Doktora (TQF-HE: Level 8 / QF-EHEA: Level 3 / EQF-LLL: Level 8) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Şule ERYÜRÜK |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Şule ERYÜRÜK | A-Z34 | [email protected] | 7537 |
Course Content
Introduction to international logistics and basic concepts; fundamentals of mathematical modeling; linear programming and graphical solution; transportation and assignment problems; integer and mixed-integer programming; facility location models; multimodal transportation and route planning; distribution network design; container and load planning; solving models with optimization software (Excel Solver, Python/PuLP) and interpreting results.
Objectives of the Course
This course aims to introduce students to the fundamental concepts of international logistics and the basics of linear programming. Starting from basic models such as the transportation and assignment problems, it covers the mathematical formulation of problems like facility location, multimodal transportation and distribution network planning. Students learn to solve these models with optimization software and interpret the results from a managerial perspective.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Having effective communication skills in oral and written communication and effectively using information and communication technologies related to international trade. | 3 |
| P2 | Be capable of having knowledge the main theories and terminology of international trade. | 3 |
| P3 | To capable of reconciling international marketing theory with global events. | 1 |
| P4 | To capable of having full knowledge about management and organization theories and be compatible with business life. | 1 |
| P5 | Be capable of evaluating and analyzing risks and opportunities that companies may encounter. | 3 |
| P6 | To capable of having full knowledge on the main legal rules and regulations that constitute the legal framework of international trade. | 1 |
| P7 | To capable of explaining how effective they are on decision making mechanisms by understanding the political, legal, economic and technological forces in which the firms compete in the world. | 1 |
| P8 | To capable of applying international finance and accounting knowledge to global cases. | 1 |
| P9 | To have full knowledge on international logistics issues. | 2 |
| P10 | To have full knowledge on customs procedures, customs regimes and customs legislation. | 1 |
| P11 | To have full knowledge on the research methods of international trade science and be compatible with business life. | 3 |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to international logistics and basic concepts |
| 2 | Fundamentals of mathematical modeling |
| 3 | Linear programming: model formulation |
| 4 | Linear programming: graphical solution and sensitivity analysis |
| 5 | Solving models with Excel Solver |
| 6 | The transportation problem |
| 7 | Assignment and transshipment problems |
| 8 | Midterm exam |
| 9 | Integer and mixed-integer programming |
| 10 | Facility location models |
| 11 | Multimodal transportation models |
| 12 | Route planning (vehicle routing problem) |
| 13 | Distribution network design and container/load planning |
| 14 | Applications with Python/PuLP |
Textbook or Material
| Resources | Taha, H.A. Operations Research: An Introduction. Pearson (Türkçe çevirisi: Yöneylem Araştırması, Literatür Yayınları). |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 6 | 84 |
| Midterms | 1 | 40 | 40 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 40 | 40 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 206 | ||
| Total Work Load / 30 | 6,87 | ||
| Course ECTS Credits: | 7 | ||