Information Package / Course Catalogue
Digital Tools and Analytical Techniques in International Relations
Course Code: ULU274
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The primary aim of this course is to equip International Relations students with digital literacy skills and to ensure the effective use of digital tools in both academic and professional settings. The course covers the introduction and practical use of essential office programs such as Word, Excel, and PowerPoint, as well as up-to-date digital tools including open data sources, big data analysis, artificial intelligence applications, digital mapping, and open source intelligence (OSINT). Students will gain hands-on experience in the opportunities and analysis techniques brought by digitalization in international relations, and will develop competencies in data collection, analysis, reporting, and presentation using digital skills. The course will also address the ethical, critical, and creative use of digital technologies, emphasizing their role in both professional and academic development.

Course Content

This course aims to enhance students’ digital literacy and enable them to use basic digital analysis tools effectively in the field of International Relations, taking into account the growing importance of digitalization. In addition to office programs such as Word, Excel, and PowerPoint, the course will offer practical training in accessing international open data sources, big data analysis, artificial intelligence applications, digital mapping, and open source intelligence (OSINT) techniques. By the end of the course, students will be competent in collecting, analyzing, reporting, and presenting data in digital environments.

Name of Lecturer(s)
Learning Outcomes
1.The student defines and develops digital literacy skills in the field of international relations.
2.The student gains proficiency in preparing academic and professional documents, collecting data, and delivering presentations by using basic digital tools (Word, Excel, PowerPoint).
3.The student applies basic analysis and visualization techniques by working with open data sources and large data sets.
4.The student produces solutions to current issues in the context of international relations by using artificial intelligence and digital mapping tools.
5.The student evaluates and reports information obtained in digital environments with an ethical, critical, and analytical perspective.
Recommended or Required Reading
1.Resources for the course will be shared with students on a weekly basis according to the topics covered.
Weekly Detailed Course Contents
Week 1 - Theoretical
Digital Literacy and Course Introduction
Week 2 - Theoretical & Practice
Academic and Professional Writing with Word
Week 3 - Theoretical & Practice
Creating Effective and Visual Presentations with PowerPoint
Week 4 - Theoretical & Practice
Basic Data Tables and Charts with Excel
Week 5 - Theoretical & Practice
International Open Data Sources and Data Extraction
Week 6 - Theoretical & Practice
Big Data and Its Applications in International Relations
Week 7 - Theoretical & Practice
Big Data Analysis and Basic Visualization
Week 8 - Theoretical & Practice
Accessing Knowledge and Academic Use of AI
Week 9 - Theoretical & Practice
AI-Based Analysis and Reporting Applications
Week 10 - Theoretical & Practice
Basics of Digital Mapping and Geographical Analysis
Week 11 - Theoretical & Practice
Open-Source Intelligence (OSINT) and Information Verification
Week 12 - Theoretical & Practice
Intermediate Data Analysis and Interpretation with Excel
Week 13 - Theoretical & Practice
Digital Project Development Workshop
Week 14 - Practice
Project Presentations and Feedback
Week 15 - Practice
Project Presentations and Feedback
Assessment Methods and Criteria
Type of AssessmentCountPercent
Project1%50
Quiz2%10
Practice Examination4%40
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Practice143384
Project1033
Practice Examination43428
Quiz22310
TOTAL WORKLOAD (hours)125
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
3
2
2
1
2
3
2
3
2
2
2
4
OÇ-2
2
2
2
1
2
2
1
2
2
1
1
5
OÇ-3
3
3
3
2
3
3
3
2
3
2
2
5
OÇ-4
3
3
3
2
4
4
3
3
4
3
3
5
OÇ-5
2
2
2
1
2
2
2
5
3
2
2
4
Adnan Menderes University - Information Package / Course Catalogue
2026