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The course is preparatory for a master's thesis in numerical analysis. The overarching goal of the course is that students acquire in-depth knowledge in a specialised area of numerical analysis and are introduced to current research in the…

The course treats: Methods for time integration: Euler’s method, the trapezoidal rule. Multistep methods: Adams' methods, backward differentiation formulae. Explicit and implicit Runge-Kutta methods. Error analysis, stability and…

The ability to argue well is one of the core competencies expected of citizens, politicians, companies, and students. The purpose of this course is to discuss and provide a vocabulary and instruments for the analysis, evaluation, and…

The course introduces different theories of translation, from classical contributions to modern theories that build on semiotics, the general science of meaning. Central questions dealt with include the nature of the act of translation,…

In this course you will learn modern statistical computing as viewed in data science through implementations in popular computing platforms such as R and Python. It covers the following topics: The R and Python environment: R packages…

Machine learning refers to statistical model predictions that that improve through experience; as new data arrive, the model learns and adapts. For instance, the price that the supermarket can charge for advertisements depends critically…

This course covers advanced machine learning methods that are relevant for applications in business and economics, and is intended as a continuation of STAN51 Machine Learning from a Regression Perspective. Some of the topics covered…

The course covers matrices and multivariate normal distribution singular value decomposition and its geometric interpretation principal component analysis including its functional formulation factor analysis cluster analysis …

The course consists of supervised study and group discussion of selected texts, independent study and oral presentation of selected primary texts and a detailed outline of the projected master’s thesis.

The course includes an overview of the emergence of rabbinic Judaism and the most important texts from classical rabbinic literature. The political, cultural and linguistic environments in which rabbinic texts emerged are also discussed as…

The course is conveyed through recorded lectures and instructed self-studies, as well as written discussions where your participation is expected. During the course we will cover five areas:  Introduction to global health. Global…

Interdisciplinary understanding of security policy and medical science The course will give you an interdisciplinary understanding of the interplay between security policy and medical science, particularly in the light of contemporary…

How can a global health program apply a right based approach? Is health a necessity for the enjoyment of human rights? These are some of the questions that you will have the opportunity to explore through web-based lectures, seminars and…

The course focuses on historical processes and their role in shaping identity in modern Russia and its Eastern European neighboring countries (such as Ukraine, Belarus, and Moldova), which were part of the Soviet Union before 1991. Key…

The course critically reflects on theoretical approaches and concepts applied in studies of Belarus and Ukraine, such as postsocialism, postcolonial space, democratisation,and neoliberal transformations. It looks at how events and…