This course provides an overview about the state of the art in information visualization. It teaches the process of producing effective visualizations that take the needs of users into account.
Among other topics, the course covers:
- Data analysis algorithms that enable extraction of relationships in data
- Major visualization and interaction techniques
- Discussions of systems that drive research and development.
- Week 1 – Jan. 22, 2013: Visualization Framework & Workflow Design
- Week 2 – Jan. 29, 2013: “When": Temporal Data
- Week 3 – Feb. 5, 2013: “Where": Geospatial Data
- Week 4 – Feb. 12, 2013: “What": Topical Data
- Week 5 – Feb. 19, 2013: “With Whom": Trees
- Week 6 – Feb. 26, 2013: “With Whom": Networks
- Week 7 – Mar. 5, 2013: Dynamic Visualizations & Deployment
- Final Exam
Suggested Readings: Atlas of Science by Katy Börner and Sci2 Tutorial by Scott Weingart, Ted Polley et al.
Katy Börner / Instructor, Professor at SLIS
Katy Börner is the Victor H. Yngve Professor of Information Science at the School of Library and Information Science, Adjunct Professor at the School of Informatics and Computing, Adjunct Professor at the Department of Statistics in the College of Arts and Sciences at Indiana University where she directs the Cyberinfrastructure for Network Science Center. Her research focuses on the development of data analysis and visualization techniques for information access, understanding, and management.
Ted Polley / CNS Staff, Research Assistant with MIS/MLS, teaches & tests Sci2 tool
Ted Polley is a Research Assistant at the Cyberinfrastructure for Network Science Center. He is interested in how emerging technologies and instruction can be used in library settings to improve information literacy and enrich the lives of both students and the general public.
Scott Weingart / Assistant Instructor, SLIS PhD student
Scott B. Weingart is a Ph.D. student studying information science and history of science at Indiana University. Scott is an NSF Graduate Research Fellow, a Paul Fortier Prize Winner for the Digital Humanities, and the author of the scottbot irregular, a blog covering computational methods and tools for humanists. Scott also aids in the development of software for data analysis and modeling at the Cyberinfrastructure for Network Science Center at Indiana University.
Grading: Final grade: 30% Midterm, 40% Final, 30% client project/homework. All students that receive more than 80% of all available points get an official certificate/badge.
Source and Links to Video Course Overview, FAQ, and Registration Available At