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In this course you will learn more about the structure and evolution of stars. The course contains amongst others: an overview of the different phases of the evolution of a star, the magnitude system and using it for stellar astronomy, the…

The course contains the following parts: Newtonian gravitation and dynamics. Reference systems and units. Galactic coordinates. Astrometry and the determination of the distance, the motion and distribution. The HR…

The course contains the following parts: Basic probability theory and statistics. The concept of probability, probability distributions and Bayes' theorem. Sampling, moments, correlation, and order statistics. Graphical presentation of…

In the course you together with your supervisor will choose a problem in astrophysics, which you independently will study and solve. The task can be of a observational, technical or theoretical nature. It should preferentially be linked to…

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 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 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 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 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 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 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 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: • Differential equation based modelling: Numerical methods to solve ODEs and convergence order. Applications to for instance predicting the spread of diseases and cell programming will be used. • MCMC based modelling…

BERN02. The overall learning outcome for the course is to let the students work with and combine two fields for data analysis in computational science: reproducible work flows and statistical learning. This includes to be able to…

Mathematical modelling is an essential tool within earth system sciences to understand processes and test hypotheses. For example, hypotheses related to ongoing climate changes are tested with models, and the estimated impacts of future…

Recent development in machine learning have led to a surge of interest in artificial neural networks (ANN). New efficient algorithms and increasingly powerful hardware has made it possible to create very complex and high-performing ANNs…

In this course you will learn how mathematical and computational physics methods can be applied to biological problems. Topics include deterministic and stochastic simulations of biochemical systems, population models, spatial models and…

The course treats: Important concepts in uncertainty quantification (UQ), such as verification vs. validation, intrusive vs. non-intrusive, and forward vs. inverse UQ Numerical discretisation for PDEs with random parameters: stochastic…