PE&RC Postgraduate courses

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Linking Community and Ecosystem Dynamics
Sunday 21 - Friday 26 October 2018
This course focuses on theoretical concepts, such as autocatalytic loops and positive and negative feedbacks between organisms in ecological networks. Also, the importance of non-trophic interactions by ecosystem engineers, and how these principles can be used to link communities to ecosystems to enable to understand how environmental change affect community and ecosystem dynamics.
Introduction to R for Statistical Analysis
Thursday 8 & Friday 9 November 2018
The aim of this course is to provide an introduction to R, a language and environment for statistical computing and graphics. Focus of the course will be on getting familiar with the R environment, to use R for manipulation and exploration of data, and to perform simple statistical analyses. Hands-on exercises will form a large part of the workshop.
Consumer-Resource Interactions in Times of Global Environmental Change
Sunday 2 - Thursday 6 December 2018
This one-week course will illustrate how adopting a consumer-resource approach can change our understanding of interactions, and how adaptive processes can be important in understanding both academic and applied problems in ecology. This edition of the course will focus on consumer-resource interactions in times of global environmental change at three levels of integration: the individual-population level, the community-ecosystem level and the socio-ecological level.
Uncertainty Propagation in Modelling
Monday 10 - Friday 14 December 2018
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.
Basic Statistics
Monday 10 - Wednesday 12, Monday 17 and Tuesday 18 December 2018
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 19 - Friday 21 December 2018
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.
GIS in Practice
Monday 4 - Friday 15 February 2019
GIS is commonly used as a tool to deal with spatial information. Although GIS packages are becoming increasingly user-friendly, the conceptual model behind the storage, analysis, and display is still essential to properly deal with these systems. This course aims to give an overview of this conceptual model, after which it will go in-depth in the use of ArcGIS using a number of practical cases.
Dynamic models in R: Programming, parameter estimation and model selection
8, 14, 15, 21, 22 March and 12 April 2019
Ecological modelling, based on field data, has become an indispensable tool in ecological research. This course presents a conceptual framework for ecological modelling: covering elementary growth models and probability distributions needed to mathematically model processes.
Bugs at your Service - Fundamentals and application of arthropod-mediated ecosystem services
Sunday 31 March - Friday 5 April 2019
This course we will provide an overview of concepts and tools that can contribute to the design of multifunctional landscapes that are better suited to capitalize on ecosystem services in conjunction with other land-use functions. The focus of the course will be on consumer-resource interactions underlying pollination and biocontrol services, the spatial ecology of pollinators and natural enemies, the impact of pest management practices on arthropod-mediated ecosystem services, and the design of multifunctional landscapes that support arthropod-mediated ecosystem services as well as other land-use functions.