Information Package / Course Catalogue
Digitalization and Artificial Intelligence in Foreign Trade
Course Code: İDT156
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: 2
Objectives of the Course

The aim of this course is to enable foreign trade students to understand the effects of digitalization on the business world and international trade; and to equip them with the fundamental knowledge and skills to use artificial intelligence tools in foreign trade processes in the areas of research, analysis, decision support, marketing, customer relations, logistics networks in foreign trade, and document management.

Course Content

Basic digital literacy, digital transformation of foreign trade processes, and the use of artificial intelligence in import-export, logistics, customs, marketing, and finance.

Name of Lecturer(s)
Learning Outcomes
1.Explains the importance of digitalization in foreign trade.
2.This provides information about the historical development of artificial intelligence, machine learning, and deep learning.
3.This provides information on the application areas of artificial intelligence in foreign trade and market research using artificial intelligence.
4.This text provides information on the digitalization of foreign trade documents and the use of digital systems and artificial intelligence in logistics, supply chains, and customs procedures.
5.This text provides information on Artificial Intelligence Ethics, Security, and Legal Issues.
Recommended or Required Reading
1.Mehmet Melemen – Applied International Trade Transactions (Turkmen Bookstore)
2.Feridun Kaya – Foreign Trade Operations Management (Beta Publications)
3.Republic of Turkey Ministry of Trade – Report on the State of E-Commerce in Türkiye (current edition)
4.Turkish Chambers of Commerce and Industry (TOBB) – Digital Transformation and Artificial Intelligence Publications
5.Turkish Exporters' Council (TİM) – E-Export, Digital Trade and Innovation Reports
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Digitalization, What is Digitalization? The Importance of Digitalization in Foreign Trade
Week 1 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 2 - Theoretical
Digital Transformation in Foreign Trade
Week 2 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 3 - Theoretical
What is artificial intelligence? The historical development of artificial intelligence. Machine learning and deep learning.
Week 3 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 4 - Theoretical
Applications of Artificial Intelligence in Foreign Trade
Week 4 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 5 - Theoretical
Market Research with Artificial Intelligence
Week 5 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 6 - Theoretical
Prompt Engineering and Effective Use of Artificial Intelligence
Week 6 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 7 - Theoretical
Digitalization and Artificial Intelligence in Foreign Trade Documents
Week 7 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 8 - Theoretical
Digital Marketing and E-Export
Week 8 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 9 - Theoretical
Logistics, Supply Chain and Artificial Intelligence
Week 9 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 10 - Theoretical
Finance, Payment Systems and Fintech in Foreign Trade
Week 10 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 11 - Theoretical
Customs, Legislation and Digital Systems
Week 11 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 12 - Theoretical
Data Analysis and Foreign Trade Statistics
Week 12 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 13 - Theoretical
Artificial Intelligence Ethics, Security, and Legal Issues
Week 13 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Week 14 - Theoretical
Case Analysis
Week 14 - Preparation Work
Reading the relevant week's topic from course materials and following developments in periodicals and digital publications related to the course topics.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Assignment1202
Quiz1101
Midterm Examination1101
Final Examination1213
TOTAL WORKLOAD (hours)49
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
PÇ-13
PÇ-14
OÇ-1
4
4
3
3
4
5
4
4
3
2
3
3
3
OÇ-2
3
5
4
3
4
3
4
3
OÇ-3
4
4
4
4
5
5
5
4
4
3
4
3
4
OÇ-4
5
5
5
5
5
5
5
4
4
3
3
4
3
4
OÇ-5
3
4
3
4
4
4
3
5
3
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026