PE&RC Postgraduate courses

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Masterclass Adoption of agricultural and conservation practices: insights in the decision-making process
2 May 2017
The objective of the course is to provide an overview of different approaches that have been used to explain individuals’ behaviour. The aim is to provide a conceptual framework to help understand behaviour, to analyse examples of studies in different areas of the globe, and to enable participants to question and develop critical thinking about conservation strategies.
Intro to R for statistics
8 - 9 May 2017
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.
Basic Statistics
10, 11, 15, 16, 17 May 2017
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.
Hands-on Global Soil Information Facilities (GSIF)
15 - 19 May 2017
The aim of this ISRIC course is to introduce various components of GSIF and provide hands-on training within the R environment for statistical computing.
World Soils and their Assessment
15 - 19 May 2017 (coordinated by ISRIC)
This is a course on international standards for soils classification and assessment. It will provide an introduction to the soils of the world and their diversity, their main forming factors, classification (according to the World Reference Base for Soil Resources 2014), and management. The course will include lectures and hands-on exercises.
Plant Nutrients in Terrestrial Ecosystems - acquisition and turnover
15-19 May 2017 (Course offered by University of Copenhagen. Particpation free of charge for PhD candidates of Wageningen University)
Upon completing the course the student will have achieved state-of-the-art knowledge on: Concepts and theories underlying nutrient use efficiency and sustainable use of plant nutrients, Concepts and methodologies used for studying plant nutrition and soil fertility, Processes that determine acquisition and utilization of plant nutrients and their turnover and bio-availability in soils and fertilizers.
Design of Experiments
19, 22 and 23 May 2017
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
7-9 June 2017
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.
The Art of Modelling
12 - 23 June 2017
Modelling is a crucial part of today's science. Among other things, models are used for assessing sensitivity of systems to disturbances or changes in external factors, and for predictions of future system states. This course provides an introduction to modelling with a focus on systems analysis using dynamic simulation models.
Political Ecologies in/of the Anthropocene: value, life and critique
21 - 27 June 2017
The summer school gives motivated PhD candidates the chance to deepen their knowledge on political ecologies in the Anthropocene. The course covers two broad and interrelated thematic areas of interest in contemporary political ecology: The emergence of the ‘Anthropocene’ and its competitors and The value of life in the Anthropocene.
Generalized Linear Models
26-27 June 2017
In this module we study how to analyse data that are not normally distributed. We look at fractions (logistic regression), counts (Poisson regression, log-linear models), ordinal data (threshold models), and overdispersion. We discuss (quasi-) maximum likelihood estimation and the deviance.
8th ESSA / SiLiCo Summer School in Social Simulation “Agent-based modelling for resilience”
26 - 30 June 2017
Resilience of systems is a major research challenge for our world’s future. The systems in which our societies operate have social, ecological and technical components that are ever more connected. Our ambitions for guiding these systems are growing. Agent-based modelling is one of the techniques for investigating the complex, often surprising behaviour of these systems.
Mixed Linear Models
29-30 June 2017
In this module we discuss how to analyse data for which the assumption of independence is violated. So: Do you have a nested experimental set-up? Or repeated measurements? Or weight of the same animal over time? Or pseudo-replication? Then, you are likely to need Mixed Models. In this course, you will learn all about it!
Summer School: Animal Movement Analysis
2 - 7 July 2017
The aim of this course is to provide participants with skills to assist them in working with animal movement data including data management and organization, working with large tracking datasets, data exploration, visualization and analysis of movement data. The course combines several guest lectures from international experts in the field of animal movement research.
Summer School: Environmental Signaling in Plants
28 - 30 August 2017 (Note that all PE&RC PhDs who are entitled to a reduced fee will receive the reduced fee alike EPS PhD candidates)
Our society depends on plants, not only as the primary source of food and dominating role in ecosystems, but also as provider of commodities such as pharmaceuticals and building materials. In many ways plants are essential for human well-being. This course has an attractive program with many expert speakers in the field of environmental signaling in plants.
Multivariate Analysis
16, 17, 18, 20 and 24 October 2017
The course is mainly based on the book "Multivariate Analysis of Ecological Data Using CANOCO 5" by Petr Smilauer and Jan Leps (2014). Practical exercises, the use of Canoco for Windows (4.5) and GenStat for Windows and interpretation of the output are important elements of the course.
Bayesian Statistics
25 - 26 October 2017
Nowadays, with the advance of computing and Markov Chain Monte Carlo (MCMC) algorithms, Bayesian statistics is becoming a powerful alternative for traditional Frequentistic statistics. Participants will be surprised how easy they can tackle problems that are quite complicated to handle with traditional Frequentistic statistics.