This summer course has been offered since 2007. The course will provide an overview of the state-of-the art in individual- and agent-based modelling, model development, implementation, parameterization, and sensitivity analysis. Further topics are handling uncertainty in data, designing simulation experiments, and statistical analysis of simulation results.
The class is intended primarily for PhD students in relevant subject areas (e.g., ecology, biology, forest ecology, environmental sciences, physics, systems analysis, social sciences etc.) strongly interested in using IBMs/ABMs in their study, and those looking for effective strategies for analyzing models and conducting simulation experiments. The course will use NetLogo modelling software in combination with the R platform for statistical analyses. Basic knowledge of both Netlogo and R is required. Material introducing NetLogo and R will be provided before the course. The lecturers are Uta Berger (TUD, Germany), Volker Grimm (UFZ, Germany), Steve Railsback (USA), and Cyril Piou (CIRAD, France). All of them are ecologists, so most of their example models will be from ecology. Scholars from other disciplines are also welcome. The course will consist of lectures, exercises, and extensive modelling projects to be presented in groups at the end of the course. Credit Points: 4 ECTS Schedule 9 days + tutorial-driven self-study in advance Date 4. - 12.July 2013 Location National Park House “Saxon Switzerland” Bad Schandau, Germany Number of Participants max 25 Course fee 800 Euro including tuition, accommodation and breakfast. Accommodation includes cooking facilities available for other meals. Application via http://www.forst.tu-dresden.de/summerschool/ Application deadline: 28. February 2013 Contact: [email protected]
