University of Copenhagen

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.

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.