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Information visualization courses for students with a computer science background.

Andreas Kerren

    IEEE Computer Graphics and Applications
    |May 9, 2014
    PubMed
    Summary

    Linnaeus University developed two master's courses in information visualization for computer science students. These courses cover syllabi, exercises, and practical applications for effective data representation.

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    Area of Science:

    • Computer Science
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Information visualization is crucial for understanding complex datasets in computer science.
    • Master's level education in specialized fields like information visualization is in demand.
    • Existing curricula may not fully address the practical skills needed for information visualization.

    Purpose of the Study:

    • To describe the development of two master's level courses in information visualization.
    • To outline the syllabi, exercises, and practical components of these courses.
    • To provide a model for other institutions developing similar programs.

    Main Methods:

    • Curriculum design based on established information visualization principles.
    • Development of practical exercises focusing on programming and data representation.
    • Integration of theoretical concepts with hands-on application.

    Main Results:

    • Two distinct master's courses in information visualization have been successfully developed.
    • The courses include detailed syllabi, varied exercises, and practical projects.
    • Student engagement and learning outcomes are supported by the course structure.

    Conclusions:

    • Linnaeus University offers specialized master's courses in information visualization for computer science.
    • The developed courses provide a comprehensive learning experience with practical skill-building.
    • These courses aim to equip students with expertise in representing and analyzing data visually.

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