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Essentials of Modelling
Monday 6 - Friday 10, Friday 17 February 2023
This course is intended for everyone who is working on a modelling project and wants to learn more about mathematical and computational modelling.
Introduction to R and R Studio (online) - February 2023
Tuesday 7, Friday 10, Tuesday 14, Friday 17 February 2023
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.
Multivariate Analysis - February 2023
Tuesday 14 – Thursday 16, Monday 20 and Tuesday 21 February
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.
Land Dynamics in an Era of Change: Learning from the past to face the future
Sunday 5 - Wednesday 15 March 2023
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.
Grasping Sustainability: the context and potential impact of your research
13 - 17 March 2023
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.
Tidy data transformation and visualization with R (online)
Tuesday 14, Friday 17, Tuesday 21 and Friday 24 March 2023
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.
What’s Bugging You? How bugs support sustainable crop production and biodiversity
26-31 March 2023
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 Ecology | Robustness of urban aquatic ecosystems
Sunday 2 - Friday 7 April 2023 (instead of 2022)
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.
Introduction to R and R Studio (online) - April 2023
Tuesday 18, Friday 21, Tuesday 25, Friday 28 April 2023
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.
Genome Assembly
Thursday 20 - Friday 21 April 2023
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.
Basic Statistics
Tuesday 16, Wednesday 17, Monday 22 - Wednesday 24 May 2023
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.
Design of Experiments
Wednesday 31 May, Thursday 1 and Friday 2 June 2023
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.
Linear Models
Monday 5 - Wednesday 7 June 2023 
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.
Multivariate Analysis - June 2023
Wednesday 7– Friday 9, Monday 12 and Tuesday 13 June
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.
Soil Biology Lab Skills Course For Assessing Soil
Monday 4 - Friday 8 September 2023
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.
Introduction to R and R Studio (online) - October 2023
Tuesday 10, Friday 13, Tuesday 17, Friday 20 October 2023
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.
Tidy data transformation and visualization with R (online)
Tuesday 7, Friday 10, Tuesday 17 and Friday 17 November 2023
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.