Denmark

This course studies descriptive chemistry, primarily the transition metals: bonding and structure, reaction mechanisms, and equilibrium. It also covers simple models for electronic spectra and magnetic properties of coordination compounds. Exercises include important characterization techniques in inorganic chemistry, as well as reading and analyzing contemporary research papers in inorganic chemistry. The course involves lectures, laboratory exercises and reports, and theoretical exercises. 

This course introduces and analyzes a number of lesser known perspectives and claimed solutions to problems that humanity and the world have been facing over the past 200 years by focusing on a range of spiritual and esoteric groups and movements. The course focuses on three major themes: global history and ideas about global communities; nature, ecology, sustainability, and animistic spiritualities; and human nature, ethics, and activism.

This course introduces the basic database concepts such as relational databases, normal forms, and transactions. In addition, the course covers system development (basic software development) and version control, and includes the practical development of a smaller system (web system, mobile system, etc.) as project work.

This course offers a study of economic sociology, a perspective on economic behavior and knowledge of the sociological theories that are most relevant for the understanding of economic behavior. Economic sociology provides the ability to reflect critically on the core mechanisms and institutions influencing economic behavior and the ability to challenge conventional thoughts in economic theory. The course focuses mainly on contemporary economic sociology; however it explores classical economic sociology with an emphasis on Weber, Marx, Durkheim, and Simmel in order to create a foundation in classical theories to better understand contemporary economic sociological theories by Bourdieu, Giddens, and Habermas. The course reviews classical economic sociological analysis on the development of the modern society, and examines the contents and developments of economic sociology since Granovetter's reintroduction of the concept of embeddedness in the mid-1980s and the development of economic sociology with contributions from Gary Becker, Bourdieu, and others. The course discusses topics including the understanding of markets, the role of the state, the impact of social structures in relation to how modern society works and how it should be studied, sociological theory, economic sociology analysis on societal developments, and the analysis of modern society and individual actions. This course consists of lectures in which there are presentations and discussions of the texts. The course recommends that students have prior knowledge of economic theory as a prerequisite.

This course introduces environmental communication as an interdisciplinary field of study that examines the role, techniques, and influence of communication in environmental affairs. It studies various forms of environmental communication in the public sphere and in doing so, draw on theory and methods primarily from communication, environmental studies, psychology, sociology, and political science. Topics include environmental rhetoric and culture; environmental interpersonal and intercultural identities; green advertising, public relations, and design; environmental journalism and mass media studies; science and climate communication; green applied media and arts; public health and risk communication; green governance, access to information, and public participation in environmental decision-making; environmental organizational communication studies; and environmental justice, law, and policy.

The purpose of the course is to introduce non-Computer Science students to probabilistic data modelling and the most common techniques from statistical machine learning and data mining. It provides a working knowledge of basic data modelling and data analysis using fundamental machine learning techniques. Topics include: foundations of statistical learning, probability theory; classification methods, such as Linear models, K-Nearest Neighbor; regression methods, such as Linear regression; Bayesian Statistics; clustering; dimensionality reduction and visualization techniques such as principal component analysis (PCA).

This course provides the analytic background behind quantum information theory in the framework of operators on Hilbert spaces and functional analysis. Topics include completely positive and completely bounded maps; operator systems and spaces; Choi representation and Kraus operators; Stinespring's representation theorem; tensor products; quantum measurements and related sets of correlations; entanglement; Schmidt decompositions; and factorizable channels and applications in quantum information theory.

This course examines the tumultuous period of history known as the Viking Age (793 – 1066) from Vínland in the West to the Caspian Sea in the East. It traces the stories of Viking raiders and settlers in Christian Europe, the Islamic Caliphate, and the New World by interrogating a number of English-translated sources, including the Old Icelandic sagas, the writings of Latin chroniclers and Arabic geographers, and art and material culture. The course investigates what it meant to be a Viking; whether it was a lifestyle or an ethnic identity; whether Vikings were bloodthirsty marauders, well-armed businessmen, or hipsters with a snazzy sense of style, as they appear in some modern reconstructions; and how the people who spread across the islands of the North Atlantic lived in their daily lives. Finally, the course examines the enduring attraction and impact of the three centuries of chaos and expansion that emanated from Scandinavia during the Viking Age.