Courses open for registration

You are here

Introduction to Geo-Information Science
5 September - 22 October 2022
In many PhD research studies the use of geodata has become essential. We offer PhD students the opportunity to join this course to understand and practice basic geo-information concepts. The course is a 6 ECT course for MSc students, consisting of 4 clusters (see annex 1). PhD candidates may select which clusters to follow. Each cluster is 1.5 ECT, 40 hours in 2 weeks. PhD candidates can work on their own geodata related questions during the course.
Computer vison for animal scientists: tracking and pose estimation
10, 12 & 13 October 2022
During the Image analysis course, the foundation was laid for classical and modern computer vision techniques. During this continuation course we will go deeper into two image analysis techniques which are relevant for animal scientists: tracking and pose estimation.
Theoretical Ecology
Monday 10 - Friday 14 October 2022
This post-graduate course on Theoretical Ecology will focus on bifurcations in dynamical systems and participants will learn quantitative approaches to assess qualitative changes in biological systems that occur when conditions change.
Towards FAIR Data Management
Wednesday 26 October, Thursday 3 and 10 November 2022
This course will address the management of data in a Findable, Accessible, Interoperable and Reusable way. Participants will be introduced to the why and how of FAIR data and create new FAIR datasets or raise the FAIRness of existing datasets, employing state-of-the-art tools.
Introduction to R and R Studio (online) - November 2022
Tuesday 15, Friday 18, Tuesday 22, Friday 25 November 2022
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.
Uncertainty Propagation in Spatial Environmental Modelling
Monday 5 - Friday 9 December 2022
The purpose of this course is to familiarize participants with statistical methods to analyse uncertainty propagation in spatial modelling, such that they can apply these methods to their own models and data. Both attribute and positional errors are considered. Attention is also given to the effects of spatial auto- and cross-correlations on the results of an uncertainty propagation analysis. Computer practicals make use of the R language for statistical computing.
Introduction to R and R Studio (online) - December 2022
Tuesday 6, Friday 9, Tuesday 13, Friday 16 December 2022
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.
Statistics for Data Science
Tuesday 6, Wednesday 7, Tuesday 13 and Wednesday 14 December 2022
This course will make you familiar with a modern toolbox of analysis techniques at the interface of statistics and machine learning. You will develop the skills to build and evaluate modeling strategies for complex (big, high-dimensional, hierarchically-structured) data as occurring in the areas relevant to WIAS and PE&RC.
Design of Experiments
Monday 19 December - Thursday 22 December 2022
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.
Structural Equation Modelling
Monday 9 - Friday 13 January 2023
While much of statistics focusses on associations between variables and making predictions, the aim of structural equation modelling is to establish causal relationships between variables. The focus will be on classical structural equation models with a small number of (latent) variables, but we will also give an introduction to recent developments on methodology for high-dimensional data.
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
Monday 6 - 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.
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.
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.