SUİ110

School of Economics and Administrative Sciences \ Political Science and International Relations

3

6

Compulsory

Turkish

-

Political Science and International Relations Bachelor's Degree Program

This course focuses on the functional use of digital tools and artificial intelligence applications to support academic production in the social sciences. Students will develop basic skills in academic writing, data organization, and presentation design using Microsoft Word, Excel, and PowerPoint. The course also explores the role and ethical boundaries of artificial intelligence—particularly large language models—in academic processes. Additionally, methods for accessing subscription-based and open-source digital resources will be covered throughout the course.

Wolfram, S. (2023). What Is ChatGPT Doing:... and Why Does It Work?. Wolfram Media.

Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. Oxford University Press.

Gaskin, S., Vargas, A., Geoghan, D., & Graviett, C. (2021). GO! with Microsoft Office 365: Word, Excel, PowerPoint 2021 Introductory (1st ed.). Pearson.

Aysan, M. F., Işıklı, Ş., Kına, M. F., Şen Atiker, E., Taşcıoğulları, M., Torun, A., & Uğur, Y. (2025). Yaratıcı kültür endüstrileri, yapay zeka ve toplum. Öneri Dergisi, 20(MX Yaratıcı Endüstriler Çalıştayı 2024: Yapay Zekâ Çağında Yaratıcı Endüstriler Özel Sayısı), e189–e218. https://doi.org/10.14783/maruoneri.1542956

1. ⁠To equip students with foundational digital literacy skills, enabling them to use computer-based tools and artificial intelligence applications relevant to the disciplines of Political Science and International Relations in a conscious, effective, and ethical manner.
2.⁠ ⁠To provide students with functional proficiency in Microsoft Office programs—such as Word, Excel, and PowerPoint—for academic writing, data organization, visualization, and presentation tasks common in the social sciences.
3.⁠ ⁠To introduce students to the fundamentals of artificial intelligence technologies, with a particular emphasis on large language models (LLMs), and to foster a basic understanding of their mechanisms and capabilities.
4.⁠ ⁠To develop students’ ability to apply AI-powered tools for text generation, summarization, editing, translation, analysis, and visual representation within the context of social science research and academic work.
5.⁠ ⁠To cultivate ethical awareness regarding the use of AI in academic settings, including the distinctions between assistive use and co-authorship, and to promote critical engagement with the concept of plagiarism in relation to emerging technologies.
6.⁠ ⁠To foster interdisciplinary critical thinking by encouraging students to analyze the broader social, cultural, and ethical implications of contemporary AI technologies in scholarly and societal contexts.

1. Students gain basic digital literacy in computer-based tools and artificial intelligence applications relevant to the fields of Political Science and International Relations.
2. Students learn to use MS Office and office applications in general in a functional way for academic production, data organization, and presentation processes in the social sciences.
3. Students develop a basic understanding of how artificial intelligence systems, particularly large language models (LLMs), work.
4. Students develop an understanding of the potential applications of artificial intelligence tools commonly used in social sciences for tasks such as text generation, summarization, editing, translation, analysis, and visualization.
5. Students gain an understanding of academic ethics by exploring the boundaries between the use of artificial intelligence in roles such as “assistive tool” and “co-author” and the concept of plagiarism.
6. Students build a multidisciplinary thinking practice to critically assess the social, cultural, and ethical impacts of current artificial intelligence technologies.

WEEK 1: Introduction
WEEK 2: Access to Digital Tools: Between ‘Subscriptions’ and ‘Open Source’
WEEK 3: Microsoft Word I: Basic Text Preparation Skills
WEEK 4: Microsoft Word II: Key Rules for Presenting Academic Content
WEEK 5: Microsoft Excel I: Creating Tables and Collecting Data
WEEK 6: Microsoft Excel II: Organizing and Visualizing Data with Functions
WEEK 7: Microsoft Excel III: The Importance of Data Collection and Organization for Quantitative Analysis
WEEK 8: Microsoft PowerPoint I: Designing Presentations
WEEK 9: Microsoft PowerPoint II: Visualization and Effective Presentation Techniques
WEEK 10: Introduction to Artificial Intelligence: Large Language Models and Their Functional Use
WEEK 11: AI Applications Supporting Academic Work
WEEK 12: Ethical Debates on Artificial Intelligence: “Assistant” or “Co-Author”? – Are We “Users” or “Data”?

Midterm Exam
Final