Jan 12th 2016

Information Visualization MOOC (CNS)

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The course provides an overview about the state of the art in information visualization, teaching the process of producing effective visualizations that take the needs of users into account.

The course can be taken for three Indiana University credits as part of the Online Data Science Program, as part of the Information and Library Science M.S. program, and as part of the online Data Science M.S. Program offered by the School of Informatics and Computing.

Among other topics, the course covers:

Data analysis algorithms that enable extraction of patterns and trends

Major temporal, geospatial, topical, and network visualization techniques

Discussions of systems that drive research and development.

Just like in past years, students will have the opportunity to collaborate on real-world projects for a variety of clients.

Everyone who registers gains free access to the Sci2 Tool (100+ algorithms and tools), and free PDF access to Part 2 of Katy Börner's Atlas of Knowledge.

Suggested Readings:
Atlas of Knowledge: Anyone Can Map