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Reproducible data science for population genetics (RDPG02)

11th February 2019 - 15th February 2020

Course Overview:

The course will describe different aspects and methods in the field of functional ecology, combining theoretical lessons with hands-on real data. Lectures will provide the theoretical and mathematical basis for different applications of functional traits at organismal, community and ecosystem levels, with examples across different trophic levels. This will serve as a basis for exploring the practical tools to connect the effect of land-use and climate change on biodiversity to the effect of biodiversity on to multiple ecosystem functions and ecological services. An overview of existing computational methods, including recent developments authored by the lecturers, will be provided during the course and the students will learn how to apply them using functions and scripts run in R. Students are welcome to apply these tools to their own data, or use the data provided, to be analysed during the course while benefiting from advise by the lecturers. As such, compared to other courses given by the lectures, this is a slightly a more advanced and data oriented course which concentrates on detailed and practical aspects in functional traits related applications, especially computational ones. The aim of the course is to provide participants with a handy synthesis of existing concepts, tools and trends in functional ecology and guide them to apply these tools to their own field of interest. As the field of functional ecology is rapidly expanding, participants will be ready to exploit the potential of the main trait approaches.

Full details can be found using the link below

Reproducible data science for population genetics (RDPG02)


11th February 2019
15th February 2020


PR statistics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
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