VISM 3B02 Visual Analytics and Data Visualization 0.50 Credit(s) Academic Course |
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Prerequisite: 7.5 credits, including all first-year requirements (5.0 credits) and 1.0 credit of second-year liberal arts & sciences (including 0.5 credit in VISA/VISC/VISD/VISM), plus HUMN2B31: Computational History & Theory: Data, Science, Machines. |
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Data can be understood as one of the twenty-first century’s most valuable resources. Underlying the rise of new forms of science, social media and finance, data are produced in increased amounts that require extraction, analysis and representation. The course introduces students to the emerging field of data analytics, which involves data extraction knowledge derived from computer science, data analysis and data visualization. It considers and the use of cognitive science to represent and analyse large-scale data sets. Finally, it provides insights into debates about data aesthetics, art and design methodological approaches. |
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Course was last updated April 17, 2013 - 12:16 PM |