
| Course Code | : DTS154 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 3 |
The aim of this course is to enable students to recognize the applications of artificial intelligence technologies in foreign trade processes and to acquire fundamental application skills in market research, customer analysis, foreign trade correspondence, data evaluation, and decision-making processes using AI-supported tools in international trade. The course covers the opportunities, application areas, and ethical and legal issues that artificial intelligence brings to foreign trade activities.
Applications of artificial intelligence technologies in foreign trade; market research, customer analysis, data evaluation, foreign trade correspondence, e-export, logistics, and decision support processes, along with their ethical and legal dimensions.
| 1. | It explains the concept of artificial intelligence and its main applications in foreign trade. |
| 2. | It evaluates the effects of artificial intelligence technologies on foreign trade processes. |
| 3. | Yapay zekâ destekli araçları kullanarak pazar araştırması ve müşteri analizine yönelik temel uygulamalar gerçekleştirir. |
| 4. | Artificial intelligence applications are used in the preparation of foreign trade correspondence and commercial documents. |
| 5. | This study evaluates the role of AI-powered data analysis and decision support applications in foreign trade. |
| 6. | It discusses ethical, safety, and data privacy issues related to the use of artificial intelligence. |
| 7. | This explains the use of artificial intelligence technologies in e-export, logistics, and supply chain processes. |
| 1. | Artificial Intelligence in Foreign Trade Management, Ebru Gül Yılmaz, Gazi Kitabevi, Ankara, 2026 |
| 2. | ChatGPT and Artificial Intelligence Tools in E-Export, Ministry of Trade, General Directorate of Exports, Ankara, 2024 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Presentation | 1 | %5 |
| Assignment | 1 | %5 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 2 | 42 |
| Assignment | 1 | 10 | 1 | 11 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 10 | 1 | 11 |
| TOTAL WORKLOAD (hours) | 75 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 2 | 1 | 1 | 1 | ||||||||
OÇ-2 | 1 | 2 | 2 | 2 | ||||||||
OÇ-3 | 1 | 2 | 3 | 3 | ||||||||
OÇ-4 | 1 | 3 | 1 | |||||||||
OÇ-5 | 1 | 2 | 3 | 3 | ||||||||
OÇ-6 | 1 | 1 | ||||||||||
OÇ-7 | 3 | 2 | 2 | |||||||||