VSFS:BA_DeMa Decision Making - Informace o předmětu
BA_DeMa Decision Making
Vysoká škola finanční a správníléto 2027
- Rozsah
- 2/0/0. 12 hodin KS/semestr. 3 kr. Ukončení: z.
- Garance
- Mirela Moldoveanu, M.Sc., Ph.D.
Katedra společenských věd (FES, KSV) – Katedry – Vysoká škola finanční a správní
Kontaktní osoba: Mgr. Petra Dovhunová
Dodavatelské pracoviště: Katedra společenských věd (FES, KSV) – Katedry – Vysoká škola finanční a správní - Předpoklady
- There are no pre-requisites for this course.
- Omezení zápisu do předmětu
- Předmět je otevřen studentům libovolného oboru.
- Cíle předmětu
- Decision-making is a fundamental cognitive and strategic process that influences success across various domains, including business, politics, personal life, and policy-making. This course explores the psychology, neuroscience, economics, and strategic frameworks behind decision-making. Students will learn how to recognise biases, analyse risks, apply rational and behavioural approaches, and leverage decision-making models to improve outcomes in professional and personal contexts.
- Výstupy z učení
- By the end of this course, students will be able to: 1. Understand the psychological and economic foundations of decision-making. 2. Identify cognitive biases and heuristics that influence choices. 3. Evaluate decision-making frameworks and tools used in business, policy, and personal contexts. 4. Apply decision analysis techniques to real-world problems. 5. Develop critical thinking skills for ethical and strategic decision-making. 6. Utilise data-driven and intuitive approaches for making complex decisions.
- Osnova
- Week Lecture Title 1 Introduction to Decision-Making: Theories and Approaches 2 Rational vs. Behavioural Decision-Making 3 Cognitive Biases and Heuristics 4 Decision-Making Under Uncertainty and Risk 5 The Role of Emotions in Decision-Making 6 Group Decision-Making and Social Influences 7 Data-Driven Decision-Making and Predictive Analytics 8 Ethical and Moral Decision-Making 9 Decision-Making in Business and Management 10 Decision-Making in Crisis Situations 11 AI, Automation, and Decision-Making in the Digital Age 12 Integrative Approaches: Improving Personal and Professional Decision-Making Recommended literature: Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux. Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124–1131. Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press. Simon, H. A. (1955). A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 69(1), 99–118. Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2004). Risk as Analysis and Risk as Feelings: Some Thoughts About Affect, Reason, Risk, and Rationality. Risk Analysis, 24(2), 311–322. Ariely, D. (2008). Predictably Irrational: The Hidden Forces That Shape Our Decisions. HarperCollins.
- Výukové metody
- Each lecture will be structured with an interactive and applied learning approach, combining theoretical foundations with real-world applications. The structure of the lectures will typically follow this format: Concept Introduction – A short lecture segment explaining key theories and concepts. Case Study Analysis – Examination of real-world decision-making scenarios (business, personal, political). Interactive Discussion – Group discussions, debates, and simulations. Hands-on Exercises – Application of decision models and problem-solving exercises. Reflection and Integration – Students will engage in self-assessments and strategy planning for improving decision-making. Pedagogical methods will include problem-based learning (PBL), case study discussions, simulations, and experiential learning exercises. Group work and collaborative decision tasks will allow students to experience real-world complexities in decision-making. Digital tools and AI-based decision analysis platforms will be introduced in later lectures to explore technology’s role in decision processes.
- Metody hodnocení
- The students will earn the course credit based on their active performance in class and the quality of their seminar assignments. Additional assignments will be required from ISP students.
- Vyučovací jazyk
- Angličtina
- Další komentáře
- Předmět je dovoleno ukončit i mimo zkouškové období.
- Statistika zápisu (nejnovější)
- Permalink: https://is.vsfs.cz/predmet/vsfs/leto2027/BA_DeMa