Courses open for registration

This course is intended for everyone who is working on a modelling project and wants to learn more about mathematical and computational modelling.

The aim of this course is to provide an introduction to R and R Studio. It introduces the participants to R language syntax, to enable them to write their own R code. They will also learn about R data-types and data-structures, and they will be taught how to explore the data and produce plots. The course will be a combination of lectures and practicals.

In this course, the participant will be provided with both the basic understanding of the principles of multivariate methods and the skills needed to use those methods in his/her own work. The course consists of lectures and computer practicals using RStudio.

Centered on the Bergville/Mont-aux-Sources/Royal Natal National Park area, the course aims to investigate past and current dynamics of the region and predict possible futures in an inter- / trans-disciplinary context.

To date, many different scientific concepts and approaches of sustainability exist. What are the differences and what do they entail? What is your role as a scientist in achieving sustainable development? How can you apply sustainability in your own research? And in doing so, how can you deal with facts, uncertainty, values and opinions?This course will enable you to think about the ‘bigger picture’, grasp sustainability and to apply concepts and approaches to your own research, in a collaborative learning environment.

In this workshop, participants will learn the principle of tidy data, how to transform and combine datasets using the tools from the tidyverse and how to generate advanced visualization with the ggplot2 package.

In this course we will provide an overview of theory, concepts and approaches to conserve insects and the design of biodiversity-friendly agricultural landscapes. Aside from updating and deepening your scientific knowledge, this course also offers an excellent opportunity to broaden your network and to interact with world-class scientists in the field!

Aquatic ecosystems play a crucial role in human health and well-being. Aquatic systems also provide diverse habitats, support high levels of biodiversity and vital ecosystems services. With over half of the human population currently living in cities, the health of urban waters is becoming ever more vital. Urban aquatic ecosystems, however, are under severe anthropogenic pressure. Unprecedented rates of global change add a sense of urgency to study the impacts of anthropogenic pressures, and to develop ways to restore and improve the robustness of urban aquatic ecosystems against these pressures.

The aim of this course is to provide an introduction to R and R Studio. It introduces the participants to R language syntax, to enable them to write their own R code. They will also learn about R data-types and data-structures, and they will be taught how to explore the data and produce plots. The course will be a combination of lectures and practicals.

In this two day workshop you will learn about two most common long read sequencing technologies: Pacific Bioscience an Oxford Nanopore Technology. You will learn how to work with the data, perform assembly, mapping, and compare the results of both technologies.

This is a refresher course. The level is that of a second course in Statistics. We will refresh basic knowledge of Probability, Statistical Inference (Estimation and Testing), t-tests, simple cases of Regression and ANOVA, Experimental Design, Nonparametric Tests, and Chi-square Tests. Some time is reserved to discuss statistical problems of the participants.

The design and analysis of experiments, using plants, animals, or humans, are an important part of the scientific process. Proper design of an experiment, apart from its proper analysis and interpretation, is important to convince a researcher that your results are valid and that your conclusions are meaningful.

In this module we continue with Regression, ANOVA, and ANCOVA, set in the general framework of Linear Models. We look at topics like parameter estimation and interpretation, checking model assumptions, regression diagnostics, analysis of unbalanced designs and multiple comparisons.

In this course, the participant will be provided with both the basic understanding of the principles of multivariate methods and the skills needed to use those methods in his/her own work. The course consists of lectures and computer practicals using RStudio.

The Soil Biology Group of Wageningen University is organising a laboratory skills course to define which measurements of soil biology are relevant for which soil functions. This course will provide the participants with an overview of a range of methods related to the five soil functions and will provide detailed practical training in a subset of measures.

The aim of this course is to provide an introduction to R and R Studio. It introduces the participants to R language syntax, to enable them to write their own R code. They will also learn about R data-types and data-structures, and they will be taught how to explore the data and produce plots. The course will be a combination of lectures and practicals.

In this workshop, participants will learn the principle of tidy data, how to transform and combine datasets using the tools from the tidyverse and how to generate advanced visualization with the ggplot2 package.