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The course provides an advanced, organised, and comprehensive discussion of theoretical and empirical research in public economics. It focuses on the relationship between the government and the market and arguments for and against…

A pass on the course is compulsory if the student is to obtain a master’s degree in Physical Geography. The course is carried out as an independent project. In the project the student should display an ability to apply and compile…

The aim of this course is to give the underlying mathematical and computer science theory required in GIS. This knowledge is necessary to evaluate the results in an analysis and to carry out more advanced analyses where the tools not are…

The aim of this course is to study the use of GIS in a client-server environment, where communication takes place through the Internet. Part of the course deals with computer screen cartography. The lectures deal with the most important…

The degree project requires a literature review and special studies. In addition, it includes a number of compulsory elements, in the form of lessons and seminars, which deal with, among other things, scientific writing in English and…

The course treats: Object-oriented programming style for scientific computing. SciPy/NumPy data structures. Examples of complex numerical algorithms from different fields within numerical analysis. Coupling to numerical libraries in C…

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.