Information Package / Course Catalogue
Artificial Intelligence and Foreign Trade
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
Objectives of the Course

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.

Course Content

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.

Name of Lecturer(s)
Learning Outcomes
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.
Recommended or Required Reading
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
Weekly Detailed Course Contents
Week 1 - Theoretical
Course introduction, the concept of artificial intelligence, its historical development and basic concepts.
Week 2 - Theoretical
Digital transformation and foreign trade: The role of artificial intelligence in international trade.
Week 3 - Theoretical
Artificial intelligence tools and platforms used in foreign trade.
Week 4 - Theoretical
Market research and international market analysis using artificial intelligence.
Week 5 - Theoretical
AI-powered customer acquisition and customer relationship management.
Week 6 - Theoretical
Analysis of foreign trade data and decision support applications.
Week 7 - Theoretical
Artificial intelligence for preparing foreign trade correspondence and commercial documents.
Week 8 - Theoretical
Artificial intelligence applications in e-export processes.
Week 9 - Theoretical
Artificial intelligence applications in e-export processes.
Week 10 - Theoretical
Artificial intelligence and digital marketplaces (Amazon, Alibaba, Etsy, etc.)
Week 11 - Theoretical
Artificial intelligence applications in logistics and supply chain management.
Week 12 - Theoretical
Artificial intelligence in demand forecasting, inventory management, and business risk analysis.
Week 13 - Theoretical
Ethical, security, data privacy, and legal aspects of artificial intelligence use.
Week 14 - Theoretical
The future of artificial intelligence in foreign trade: case studies and general assessment.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Presentation1%5
Assignment1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Assignment110111
Midterm Examination110111
Final Examination110111
TOTAL WORKLOAD (hours)75
Contribution of Learning Outcomes to Programme Outcomes
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
Adnan Menderes University - Information Package / Course Catalogue
2026