Information Visualization MOOC

 
Overview

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 patterns and trends in data
  • Major temporal, geospatial, topical, and network visualization techniques
  • Discussions of systems that drive research and development.

Please watch the introduction video to get better acquainted with the course.

Everybody who registers gains free access to the Scholarly Database (26 million paper, patent, and grant records) and the Sci2 Tool (100+ algorithms and tools).

Katy Börner, Ph.D.
Indiana University

Schedule

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
Mid-Term: to be taken by Feb. 18 2013 at 5pm EST
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: to be taken by Mar. 11 2013 at 5pm EST
Client Work: Visit the List of Clients page to see the projects that IVMOOC participants have the opportunity to complete.

Suggested Readings - Atlas of Science by Katy Börner and Sci2 Tutorial by Scott Weingart, Ted Polley et al.

Grading - Final grade: 30% Midterm, 40% Final, 30% client project. All participants that receive more than 80% of all available points will receive both a personalized letter of accomplishment and digital badge, as shown below.

Acknowledgements - We would like to thank Miguel I. Lara for instructional design support, Samuel Mills for designing the web pages, Robert P. Light and Thomas Smith for extending the GCB platform, and Mike Widmer and Mike T. Gallant for adding the Forum. Support comes from CNS, CITL, SLIS, SOIC, the Trustees of Indiana University and Google.

Instructors

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.

David (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.

FAQ

What is the format of the class?
The class will consist of a theoretical component and a hands-on component. The video lectures for the theory will explain the topics covered that week and the hands-on video tutorials will cover the same topics. The theory component and the hands-on component are stand alone. Participants can watch whichever section they are more interested in first, and then review the other section. After the theory videos there will be a self-assessment, and after the hands-on videos there will be a short homework assignment.

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