PE&RC Postgraduate courses

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Grasping the Complicated, Probing the Complex: Ecological, Social and Socio-Ecological Board-Games and Agent-Based Simulators from the Rural South.
Monday 27 - Wednesday 29 August 2018
This 2.5-day workshop introduces you to the world of participatory games to address and study wicked problems. This is explicitly not a workshop in which you learn how to design such participatory games for your own research, but to get an idea of the value that these types of games can have in studying complicated and complex problems. The workshop will be very hands-on and you will be introdcued to games that have their background in the natural sciences, games that have their background in the social sciences, ánd games that are truly socio-ecological.
Efficient Writing Strategies - Amsterdam Edition
Thursday 13, 27 September, 11, 25 October, 14 November 2018
Efficient Writing Strategies will guide you through the different stages of an effective writing process and give you the opportunity to discover your strengths and weaknesses and the strategies that work best for you. At the same time, you will make a good start to your writing task, be it an article, research paper or proposal. NOTE: This course will be offered at the University of Amsterdam, and in collaboration with Wageningen Graduate Schools (WGS). PhD candidates of Wageningen University are advised to take this course in Wageningen under the umbrella of WGS, as this offers them the reduced course fee that is not applicable for this course in Amsterdam.
Farming Systems and Rural Livelihoods: Pathways to sustainable development
Sunday 16 - Friday 28 September 2018
Through the adoption of the Sustainable Development Goals (SDGs) the world has set ambitious aims. In this course in Uganda, you will acquire skills and learn methods to deal with the complexity of smallholder agriculture towards pathways for sustainable development of smallholder farming systems.
Principles of Ecological and Evolutionary Genomics
Wednesday 26 -Friday 28 September 2018
This course is intended for those just embarking on genomics within an ecological setting and teaches the fundamentals of the discipline, while concentrating on ecological questions. The course will focus on three topics, each of which is treated by introductory lectures, assignments, case studies and student presentations.
Bayesian Statistics
Monday 15 & Tuesday 16 October 2018
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.
Linking Community and Ecosystem Dynamics
Wednesday 21 - Monday 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.
Electron Microscopy from Amsterdam to Wageningen
Monday 12 - Friday 16 November 2018
This course gives insight into the possibilities of electron microscopy as a research tool and when to use scanning electron microscopy (SEM), transmission electron microscopy (TEM) or combined light and electron microscopy (CLEM) for your analysis. You will be able to operate an electron microscope at basic level, make images and perform basic techniques of sample preparation. To benefit optimally from this course you will need some understanding of microscopes in general, but it is not necessary to have experience with electron microscopy.
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.