Critical assessment and discussion of scientific work in the area of Visual Analytics.
Didactic Concept:
- Introduction to Visual Analytics
- Providing references to primary and advanced literature
- Critical assessment and discussion of scientific work
- Presentation and discussion of gained insights (discussion of advantages and disadvantages of concepts, techniques, and scientific literature)
- Written elaboration
- Usage of the InfoVis:Wiki
Visual Analytics is an emerging area of research and practice that aims for supporting analytical reasoning by interactive visual interfaces. The basic idea is the integration of the outstanding capabilities of humans in terms of visual information exploration and the enormous processing power of computers to form a powerful knowledge discovery environment.
Visual Analytics denotes the science of analytical reasoning facilitated by interactive visual interfaces and appropriate visualization techniques. [Thomas and Cook, 2005]
Visual Analytics is an inherently multi-disciplinary field that aims to combine the findings of various research areas as Human-Computer Interaction (HCI), Usability Engineering, Cognitive and Perceptual Science, Information Visualization, Scientific Visualization, Databases, Data Mining, Statistics, Knowledge Discovery, Data Management & Knowledge Representation, Presentation, Production, and Dissemination.
