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The use of scientific methods in archaeological research is an ever-growing field that has in many ways revolutionised our knowledge of the past. Much of the current methodological development is linked to bioarchaeology and concerns…

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 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…

This course is intended to present some aspects of biology from a physics perspective. Among the topics covered are: cell structure, random walks and diffusion, entropic forces, chemical forces, macromolecules, and molecular mechanisms and…

Nature is complex and often several factors interact also in seemingly simple processes. Models are useful tools to disentangle complicated relationships, to build a comprehensive description of a process, or simply to present your own…

Content: Introduction to R, binomial-, poisson- and normal distribution, descriptive statistics and graphs, hypotheses testing, t-test, ANOVAs, correlation, regression, multiple and non-linear regression, chi-square, G-tests, log-linear…

Over the last decades, global growth dynamics have shifted towards the economies of the non-Western world. The world is no longer divided between the West and the Rest. Nor is the Rest to the same extent marked by stagnation. In the course…

This course studies historical processes of growth, convergence and divergence in the global economy over the past two centuries. Two major approaches are applied. One takes its point of departure in theories of economic growth, basically…

The course consists of two parts: (1) Demographic methods and (2) Theories and evidence on global demographic transitions in an historical perspective. In the first part, basic demographic measures and concepts are discussed, such as…

This course explores and explains the processes of rapid industrialisation and socio-economic modernisation in China and the Asia Pacific drawing on a historically –comparative institutional approach. Fundamental factors and forces behind…

This course covers several areas of innovation economics, such as their characteristics, their driving forces of innovation and how innovation affects economic growth. It covers several sub-themes, such as: Market structures and innovation…