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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…

This hands on course will give you experience and knowledge of programming in general and in Python  in particular. The focus is especially on applications in bioinformatics. Working environment is Linux and the course will develop…

Bioinformatics, the application of computational methods to biological and biomedical problems, is a rapidly growing field. Modern biochemists and biologists need to have a basic knowledge of bioinformatics. This course provides both a…

This hands on course will give you the experience and provide the tools that are needed to analyze next generation sequencing data. It is particularly focused on the analysis of: transcriptome data amplicon data genome data Working…

After assembling of data, generated by new sequencing methods such as "next generation sequencing", the results must be linked to the underlying biological questions. It implies that the subsequent analysis will require different…

In this courses, you learn how to plan and carry out a project in Bioinformatics from start to end. The course is open for students on the Master's programme in Bioinformatics  

You can perform a Master's Degree project of 30 (BINP50), 45 (BINP51) or 60 (BINP52) credits in Bioinformatics. To be able to apply for a Master´s Degree Project in Bioinformatics you should be enrolled in the Masters Program in…

You can perform a Master's Degree project of 30, 45 or 60 credits in either General Biology, or one of the specializations Animal Ecology, Aquatic Ecology, Conservation Biology or Plant Science. To be able to do a Master´s Degree Project…

Microbes are the unseen majority on earth. They are found essentially everywhere where there is liquid water and their activities strongly affect all other forms of life. Whatever part of biology you are specialising in, knowledge about…

The course deals with vision and other types of photoreception, olfaction, taste, hearing, equilibrium, mechanoreception, pressure reception, electroreception, magnetoreception and senses for temperature and heat radiation. All senses are…

In this course you will learning basic theory and understanding of the most important molecular genetic methods used in modern ecological and evolutionary research projects. Central is to understand the importance of genetic variation for…