University of Iowa 3 credits BAIS
Exposure to problems and challenges of effectively interpreting and communicating the pervasive data that surround us; students cover the area of information visualization, grounded in theoretical foundations of visual perception, cognition, information design, human-computer interaction, and analysis of quantitative, unstructured, and relational data; lecture/seminar format with discussion of assigned readings, critiquing visualization examples; hands-on experience with commercial information visualization tools like Tableau and Power BI; and exploration of select open-source information visualization toolkits.
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