LFU:online

The students learn how to use the programming language R for data preparation, analysis and visualisation. They learn how to organize their data analysis project, how to improve readability and flexibility of their code and how use R markdown to create reproducible reports that combine text with R code and its output. They are able to apply different strategies to deal with errors.

The course gives an introduction into programming with R including variable types, structures (e.g. for-loops), working with packages and good coding practice. It will teach how to store and organise data, explore and prepare datasets, analyse data, visualize the results and create reproducible and shareable reports of the analysis. We will work with different datasets and applications that are relevant for environmental sciences. Students apply what they have learnt in practical exercises and in their own data analysis project.

Lectures combined with practical exercises on computers.

Oral contributions in the course, written project report.

Will be announced at the beginning of the course.

Members of the DP Alpine Biology and Global Change will be preferred, other fields of study welcome.

Students' wishes regarding content will be taken into consideration.