After successful completion of the course, students are able to author a scientific text in this area and have a good overview of the current state of the art in Visual Analytics science and technology.
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.
ECTS Breakdown
3 ECTS = 75 hours
5 Lectures
25 Literature search and reading
30 Writing a state-of-the art report
5 Paper review
8 Presentation
2 Class discussion
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75
Please consider the plagiarism guidelines of TU Wien when writing your seminar paper:
Directive concerning the handling of plagiarism (PDF)
