Description | Outline | Policies | Grading | Resources
Description
Instructor: Dr. Katy Börner |
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katy@indiana.edu Office: Wells Library 021 Office Hours: Tue 4:00p-5:00p Phone: 812-855-3256 |
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Assistant Instructor: Scott Weingart |
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| scbweing@indiana.edu Office: Wells Library 022 Office Hours: Thursday 11:30a-12:30p |
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Important Information
Lecture: Tuesday 9:30 - 10:45a LI 030
Lab: Tuesday 11:00a -12:15p LI030 or LI002
Email List: s637-s13@oncourse.iu.edu
Twitter Tag: #IVIU
Class Webpage: http://info.slis.indiana.edu/~katy/S637-S13
Oncourse Site for Handin: https://oncourse.iu.edu/portal/site/SP13-BL-SLIS-S637-22378
Lecture slides are accessible via: http://ella.slis.indiana.edu/~katy/S637-S13/*name of ppt file*
Software is linked from http://sci2.cns.iu.edu. See documentation at http://sci2.wiki.cns.iu.edu.
The visual representation of information requires a deep understanding of human perceptual and cognitive capabilities, computer graphics, interface and interaction design, as well as creativity.
Information--such as log files reporting access of webpages or paper-citation network data--is typically non-spatial or abstract and needs to be mapped into a physical space that will represent relationships contained in the information faithfully and efficiently. If done successfully, visualizations can provide a very intuitive and efficient "interface between two powerful information processing systems - the human mind andthe modern computer" (Gershom et al., 1998)
This course provides an overview about the state of the art in the field of information visualization. It will highlight the process of producing effective visualizations that take the needs of users into account and illustrate practical visualization procedures.
It will cover the- perceptual basis of information visualization,
- data analysis algorithms that enable extraction of relationships in data,
- major visualization and interaction techniques,
- discussions of systems that drive research and development, and
- future trends and remaining fundamental problems in the field.
The course utilizes a combination of lectures, presentations and discussions, and projects. There will be in class presentations of public-domain software and you will work with software packages that have been developed for this course. You will be expected to do weekly Readings, to provide a Presentation of specific readings, to participate in class, and to work in teams for projects 2 through 4 improving your social competence.
As a unique feature, the Spring 13 class is combined with a seven week Information Visualization Massive Open Online Course (MOOC)--the very first MOOC offered by IU. Read MOOCs: Top 10 Sites for Free Education With Elite Universities to learn more about MOOCs.
This course has been taught since Spring 2001 and many students' final projects have resulted in Workshop/Conference papers.