Denmark

This course introduces mindfulness as a psychological construct, presenting and discussing ways to understand and describe the concept. It presents theoretical perspectives that seek to illuminate the origin, development, potential, and limitations of mindfulness. The course examines clinical and cognitive empirical studies that demonstrate various operationalizations and effects of mindfulness interventions. It also contains a smaller practical part where select mindfulness exercises are exemplified to provide a practice-based understanding of the concept of mindfulness. Assessment is based on an individual or group written assignment of 8-14 pages. 

The course discusses how different forest management practices and intensities influence biodiversity. It presents methods on how to assess and evaluate impact of forest management actions on flora and fauna diversity and discusses possible trade-offs between forest wood production and biodiversity.

This course deals with concepts, theories, and practices of global governance. Its central focus is on the understanding and analysis of discourses and policies created by international organizations such as the United Nations, the World Bank, or the International Monetary Foundation (IMF) in interaction with different state and non-state actors. the course covers how international legal regimes take form, operate, and influence actors at various institutional levels. Through case studies, the course analyzes practices of global governance specifically oriented towards solving societal, political, economic, and environmental challenges that require global collective action. Specifically, it explores how power relations and inequalities affect the practice of global governance. This course presents students with knowledge of global mechanisms (institutions, discourses, policies) created to address and manage the rising societal, political, economic, and environmental challenges of a global nature, with a particular focus on the Sustainable Development Goals formulated by the UN.

The course provides students with core knowledge of current discussions about theories of how cognitive processes are shaped by more broad bodily processes, specially those of the motor system. It focuses on the influence of bottom-up processes in the formation of emotions, and the relation to theories of the self. The course encourages cross sectional discussions about the relationship between our three main overarching topics: embodiment, emotions, and the self, as well as the implications for cognition, behavior, and decision making. Students learn the relevance of these topics for psychology by examining some specific clinical disorders in both psychological and medical research. Similarly, examples for the relevance of this intersection in everyday-life as well as for areas outside psychology are highlighted.

The evolution of digital technologies – such as Artificial Intelligence, the Internet of Things, digital platforms, and blockchain – is radically changing businesses. Information Technology (IT) is not just about improving the efficiency of existing business processes, but has the potential to bring about the creation of new services, of new business models, and of entire new industries. Digital transformation is a wide-encompassing trend that forces us to rethink the interaction between organizations, technology, and people. This course explores the phenomenon of digital transformation, with a focus on business. Students are provided with theoretical and practical tools to critically understand digital transformation at a societal, organizational, and at a consumer level. Understanding the transformative impacts of digitalization enables students to evaluate how digital technologies can be embedded in successful business strategies, and how value can be created from novel digital tools. The course features the analysis of real life cases and the critical discussion of different perspectives on the impacts of digital transformation on businesses.

This course introduces students to quantitative text analysis, reviews selected methods falling within this category of approaches, and illustrates their implementation in the statistical programming language R. It covers the origins of quantitative approaches to studying text and how they complement traditional, qualitative methodologies. Using recent peer-reviewed publications, the course explores how these methodological approaches can be used to answer sociological questions and, in hands-on lab session, students implement selected techniques in R.

This course offers a study of genome and cell biology. Topics covered include gene regulation, structure of genomes and their content of information, use of databases and experimental techniques for genome analysis, gene control, genome function, gene and genome techniques, membrane structure, membrane transport, intracellular compartments and the sorting of proteins, signal transduction, cell division, cell cycle control, programmed cell death, and autophagy. The course consists of lectures, group work, and student presentations. The course highly recommends but does not require that students have completed a bachelor level course in cell biology as a prerequisite.