PE&RC Postgraduate courses

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Design of Experiments
Wednesday 20 - Friday 22 December 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.
Structural Equation Modelling
Monday 22 - Friday 26 January 2018
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.
Introduction to Zero Inflated Models with R | Frequentist and Bayesian approaches
Monday 29 January - Friday 2 February 2018
During the course several case studies are presented, in which the statistical theory for zero inflated models is integrated with applied analyses in a clear and understandable manner. Zero inflated models consist of two integrated GLMs and therefore we will start with a revision of GLM. Zero inflated GLMMs for nested data (repeated measurements, short time series, clustered data, etc.) are discussed in the second part of the course. We will focus on zero inflated count data, and zero inflated continuous data.
Geostatistics
Monday 5 - Friday 9 February 2018
Geostatistics is concerned with the analysis and modelling of spatial variability. It also addresses how quantified spatial variability can be used in optimal spatial interpolation and spatial stochastic simulation. Fields of application include hydrology, soil science, ecology, geology, agriculture, and forestry.
Survival Analysis
Thursday 22 & Friday 23 February 2018
In this short course, the concept of survival analysis will be introduced and it will be shown how to apply the methods to biological data. Main topics are how to handle censored data, estimation of Kaplan-Meier survivor curves, the Log-Rank test, and Cox' regression models for estimating and testing effects of covariates.
Grasping Sustainability
Monday 12 - Friday 16 March 2018
This on-site 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, away from ‘office’. To ensure that the content of the course is aligned to your own research, the content of the course will also be determined by the research topics of the participants. This course is organised by the Research School for Socio-Economic and Natural Sciences of the Environment (SENSE) and PE&RC, but coordinated by SENSE.
Frontiers in Microbial Ecology | Eco-evolutionary dynamics of microbial-host interactions
Sunday 8 - Friday 13 April 2018
This course will examine our current understanding of the eco-evolutionary dynamics controlling host-microbiome interactions, by focusing on questions such as how and why microbial-host associations are formed, how they are maintained, and what the relevance is of these associations for host survival and adaptation to a changing world. This course is organised by PE&RC and RSEE (Research School Ecology & Evolution, Groningen), and coordinated by RSEE.
Design of Experiments
Wednesday 23 - Friday 25 May 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.