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3 credits
Students will study the techniques and algorithms for creating effective data visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science. Students will utilize their statistical foundations and these visual representations to make informed decisions about data. Students will:● Apply the key techniques and theory used in visualization, including data models, graphical perception and techniques for visual encoding and interaction. This will be measured by Quizzes 1-4, Examination 1, and the Final Exam. ● Utilize common data domains and corresponding analysis tasks, including multivariate data, networks, text and cartography. This will be measured by Quizzes 5-7, Examination 2, and the Final Exam.● Gain practical experience building and evaluating visualization systems. This will be measured by Quizzes 8-10 and the Final Exam. *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.MTH 226: Data Visualization
Learning Goals
Sections Offered: Summer 2026, Summer I
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Credits
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0144-226-001
Mon
3