Within the field of business, economics and social sciences, we offer four courses which you will find more information about below.
Please check the individual course descriptions for possible prerequisites and note at which campus/location the course is offered.
Artificial Intelligence in World Politics
How does artificial intelligence (AI) influence democratic governance, its potentials and the strategies necessary to uphold democratic legitimacy?
AI is affecting all areas of the democratic process, ranging from opinion formation to political decision-making, public administration, and citizen’s access to resources. For example, predictive analytics tools are used for fraud detection and healthcare administration, we have seen examples of AI being used in policy drafting, and generative AI fundamentally changes the information environment in which people form opinions. While such AI tools have the potential to lead to efficiencies and innovation, they can also have unintended consequences which could undermine the legitimacy of democratic processes.
This course will offer insight into the opportunities and challenges posed by AI technologies and how it affects both democratic principles (such as transparency, accountability, autonomy) as well as democratic outcomes (including trust in services and the democratic process and discrimination, but also efficiencies).
Course description | Level: Master | Offered in Odense | Offered by: Department of Political Science and Public Management
Decision, Persuasion, and Negotiation
Like it or not, we have to make numerous decisions every day, and most of our decisions concern how to persuade, how to negotiate, and how to exert influence on other people. Being effective in decision making, persuasion and negotiation is indispensable to be successful in almost any profession. Research has shown, however, that even intelligent people are biased in ways that seriously limit the quality of their decisions and compromise their potential in persuading and influencing others.
This course covers the rationales that drive human behavior and the common biases that affect the quality of decisions, with a thorough examination of behavioral perspectives on decision-making, persuasion, and negotiation. Students will learn how to apply the principles covered in class through lectures, group discussions, case studies, negotiation role-play, decision-making experiments.
Course description | Level: Bachelor | Offered in Odense | Offered by: Department of Economics
Introduction to R
R is one of the most popular programming languages in data science, statistics, and other quantitative sciences, with a growing number of users and organizations using it. It is a free, powerful, versatile, and easy to use tool for data analytics and visualization. The course will help you master R, from installation to basic statistics taught in a combination of lectures and exercises. You will learn general programming features and how to analyze and visualize data.
Prospective students of MSc in Population Studies at SDU without prior knowledge of R are encouraged to take this course.
Course description | Level: Bachelor | Offered in Odense | Offered by: Faculty of Business and Social Sciences
Navigating the Legal Landscape of AI Generated Administrative Decisions in the EU
The course covers different administrative sectors that rely on differing levels of AI-generated decision-making. It offers an overview of key EU regulations relevant to the lawful development and operation of these decision systems and examines how these regulations align with fundamental principles of administrative law, such as transparency, reasoning, access to information and more.
This course is interactive, utilising a case-based approach from different EU countries to bridge diverse experiences. This intercultural focus creates an understanding of how culture and national approaches influence the handling of AI-based decision making in different Member States. The course is also innovative, as it addresses real-world challenges in AI agency implementation. Additionally, it is interdisciplinary, incorporating elements of sociology and data science to explore both the technical aspects of AI and how it is perceived and applied by individual caseworkers.
Course description | Level: Bachelor | Offered in Odense | Offered by: Department of Law