Foundations of Information Visualization 資訊視覺化基礎
開課的學期未定

 Instructor: 劉 興 民                 Head Teaching Assistant 首席助教
Lectures: Wed 10:15-13:00                 未定 @cs.ccu.edu.tw
          工學院A館204教室                工學院A館410室
Office:   工學院A館403室                  分機23139
e-Mail:   damon@computer.org
Phone:    分機33118

The course provides an introduction to current research in the new field of information visualization. Information visualization, which focuses on the use of visualization techniques to help people understand and analyze data, is emerging as an important fusion of graphics, scientific visualization, database, and human-computer interaction.

Nowadays dozens of innovative visualizations for one-, two-, three-, and multi-dimensional data have been proposed, along with creative design for temporal, tabular, hierarchical, and networked data. This course will examine the design alternatives (focus+context techniques for effective data browsing, interaction techniques for dynamic data queries, etc.), algorithms and data structures, plus human factors evaluations of efficiency for a variety of tasks and users.

This course will give students the opportunity to familiarize themselves with principles and systems for information visualization, to learn the current theories and practices and to propose an original research project in an area they find of interest.


Readings
  • Readings in Information Visualization: Using Vision to Think, Stuart Card, Jock MacKinlay, and Ben Shneiderman, Morgan Kaufmann, ISBN: 1-55860-533-9. [Essential]
  • Information Visualization: Perception for Design, Colin Ware, 2nd Edition, Morgan Kaufmann, ISBN: 1-55860-819-2. [Supplementary]
  • Information Visualization: Design for Interaction, Robert Spence, 2nd Edition, Prentice Hall, ISBN: 0-13-206550-9. [Supplementary]
  • The Visual Display of Quantitative Information, Edward Tufte, 2nd Edition, Graphics Press, ISBN: 0-9613921-4-2. [Supplementary]
  • Information Visualization: Beyond the Horizon, Chaomei Chen, 2nd Edition, Springer-Verlag, ISBN: 1-84628-340-X. [Supplementary]
  • Indicative Topics
    1. Creative design & innovation
    2. Visual perception & principles
    3. Color
    4. Interaction: dynamic queries, brushing & linking
    5. Multidimensional data analysis
    6. Focus + context
    7. Visual distortion techniques
    8. Parallel coordinates
    9. Zoomable user interfaces
    10. Document visualization
    1. Visualizing the Web
    2. Information workspaces
    3. Time-based data
    4. Video visualization
    5. Trees
    6. Networks
    7. Graph drawing
    8. Empirical evaluation
    9. Software visualization
    10. Visualization on mobile devices

    Assessment
    Laboratories [35%]; Midterm [30%]; Final exam [20%]; Final project / demonstration [10%]; Class participation [5%].
    These weights are tentative and subject to future adjustment.

    Course Works 課業倉儲

    Discussion Board 課程討論區