Explorative Information Visualization
In this course we study approaches for explorative information visualization. The idea is to support information usability by enabling to explore interesting patterns from datasets in visual ways. Explorative information visualization makes a joint use of efficient metaphors like hierarchies, graphs, charts, lists, maps, and timelines. The course supports students to understand the role of hybrid methods from spatial data mining to network analytics, and from linked data to time-series handling for supporting information visualization. Our focus is on the process-thinking, thus starting from sparse datasets and to understand the tasks for iteratively making sense of data. In the course we will have a special emphasis on visualizing spatial and temporal information jointly with thematic information. The seminar builds on the idea of flipped classroom and blended learning ideas, and thus combines online learning materials with intensive face to face sessions. Online materials consist of lectures for preparing, handling and analyzing data, integrating different datasets, and for approaches to create visual demonstrations of data with maps, timelines and thematic overviews. The course consists of sessions each having a brief lecture, discussions, group works and presentations. The theoretical part of the course is deepened via our joint sessions and by individual seminar reports on selected topics.