SeRC – Visualization Summer School 2017
Visualization plays a crucial role in a large variety of e-science research projects. Thereby visualization can contribute at many stages of the discovery process. Examples range from automatic structural analysis for data reduction to explorative environments providing novel views on data, questions and hypothesis. As such visualization goes far beyond the well-known methods provided in typical commercial visualization software.
Within many research projects, visualization is established as the last step of a long pipeline of compute and data intensive processing stages. While the importance of this use of visualization is well known, facilitating visualization as a final step may not be enough when dealing with e-Science applications. As data sets are becoming larger and tasks more compute intensive the need to integrate visual data analysis early on in the discovery process is of increasing importance. Many powerful concepts targeted towards the exploration of data, as well as the presentation of the findings have been developed in the field of visualization.
This summer school is targeted toward scientists whose research entails the generation of large data and analysis. However, everybody interested in visualization is welcome. Besides the introduction of fundamental visualization concepts its goal is to generate awareness about the capabilities of advanced visualization methods to extract knowledge from data. Besides of lectures given by internationally well known experts we will show visualization case studies from selected applications.
The summer school will take place on August 14-16, 2017 in Norrköping, Sweden and is hosted by Linköping University and the Norrköping Visualization Center C.
It is also co-located with the SIGRAD conference (August 17-18, 2017).
Participation at this summer school is free of charge but there is only a limited number of places available. Accommodation and travel expenses have to be paid by the participant.
Registration for the SeRC Summer School 2017 has been closed since all available places are booked.
Lecture topics include
- Overview: goals, purposes and methods in visualization
- Advanced volume rendering
- Introduction to topological data analysis
- Large scale data analysis and visualization
- Medical Visualization
- Molecular Visualization
- Information Visualization
- Show-cases from selected applications
- Introduction to the visualization software Inviwo, with practical hands-on tutorial
We will have two international guest speakers:
- Christoph Garth, University of Kaiserslautern, Germany
- Ivan Viola, Vienna University of Technology, Austria
- Renata Raidou, Vienna University of Technology, Austria
- Rafael Messias Martins, Linnaeus University, Växjö, Sweden