Urban Ecology: the green within the city
The goal of this course is to provide participants with current and practical knowledge on urban ecology, including its ecological and social aspects.
The goal of this course is to provide participants with current and practical knowledge on urban ecology, including its ecological and social aspects.
This course offers an overview of the different ways to measure biodiversity, and provides tips for the stratification of primary biodiversity data and the construction of variables that describe its various facets. It also includes an in-depth review of the different types of data used to measure biodiversity and their problems and limitations.
The course aims at enabling the participants to use different methods to measure the impacts of pollutants on ecosystems. Basic knowledge will be provided through theoretical and practical lessons on how to select and use the most suitable metrics based on the analysis of multiple compartments of the ecosystems.
In this course we will provide advanced hands-on training on some of the most used technological tools in field biology.
The objective of this course is to provide participants with basic knowledge on a) the fundamental aspects of experimental design and b) workflows, platforms and tools to increase reproducibility at all scientific levels.
The course provides essential skills and knowledge that enable the participants to develop climate change adaptation strategies.
Under the general framework of Global Change Ecology, the goal of this course is to provide the participants with the most recent and practical knowledge on the use of Functional Diversity. This includes the selection of functional traits and calculation of Functional Diversity Indexes.
The objective of this course is to provide students with statistical knowledge and tools to manipulate, analyze and visualize biological data with R. Introduction to modeling, simulations and Bayesian statistics.
The objective of this course is to provide students with basic knowledge of R programming, allowing them to manipulate and visualize data with R.
This course aims to explore ways of communicating science to non-specialized audiences, such as policy makers, industry, general public (including students and teachers), through their engagement and participation in citizen science activities.