School of Economics and Administrative Sciences \ Business Administration
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
This course explores the transformative impact of artificial intelligence and digital technologies across social sciences, offering a comprehensive look at how these tools shape fields such as business, economics, psychology, law, literature, and international relations. Key topics include the basics of machine learning, data ethics, digital transformation strategies, and artificial intelligence applications in fields like marketing, economic forecasting, behavioral analysis, and public policy. Case studies and hands-on activities will allow students to critically assess the implications of digital tools and artificial intelligence, from social impact to ethical considerations.
Textbook and / or References
1. Understanding of Artificial Intelligence and Digital Technologies: Basic knowledge of artificial intelligence, machine learning and digital tools is developed, with a focus on their application in the social sciences and various professional fields.
2. Critical Analysis Skills: The ability to critically evaluate the ethical, social and economic impacts of artificial intelligence and digital technologies, especially in data-driven decision-making processes.
3. Practical Knowledge for Real World Applications: Learn how to apply artificial intelligence and digital tools to solve real-world problems in areas such as business strategy, economic forecasting and behavioural analysis.
4. Interdisciplinary Insight: Build interdisciplinary perspectives by exploring how digital technologies intersect with business, economics, psychology and politics, and prepare for a variety of career paths in a technology-driven world.
Week 1: History of artificial intelligence and basic concepts
Week 2: Artificial intelligence and ethics in marketing strategies and research
Week 3: Nonlinearity, determinacy, self-organisation and artificial intelligence
Week 4: Artificial intelligence and blockchain applications in supply chain management
Week 5: Artificial intelligence applications in law
Week 6: Can machines really think? Do humans really think?
Week 7: Artificial intelligence applications in political science
Week 8: Digital transformation in SMEs and its reflections on the economy
Week 9: Artificial intelligence applications for academics and students
Week 10: Artificial intelligence applications and algorithmic management in HR management
Week 11: Introduction to machine learning applications in finance
Week 12: Computer vision, biometrics and artificial intelligence
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