Information visualization (InfoVis) is a rich research area that focuses on the design and use of visual representations and interaction techniques to help people understand, explore, and analyze data. While fields such as scientific visualization involve the presentation of data that has some physical or geometric correspondence, InfoVis focuses on abstract data without such correspondences such as symbolic, tabular, networked, hierarchical, or textual information sources.

The objectives of this course are:

  • Learn fundamental principles of effective InfoVis.
  • Understand the wide variety of InfoVis and know what visualizations are appropriate for various types of data and for different goals.
  • Understand how to design and implement InfoVis.
  • Know how InfoVis use dynamic interaction methods to help users understand data.
  • Gain an understanding of human perceptual and cognitive capabilities to the design of InfoVis.
  • Develop skills in critiquing different visualization techniques in the context of user goals and objectives.
  • Learn how to use and critique existing systems for creating InfoVis.

The course will follow a lecture/seminar style with discussions, guest speakers from industry and academia, viewing of best-practice videos, and hands-on experience with InfoVis design and development. Download the syllabus here, or view it online here.

For some of your homework assignments you need to use the Gatech Github. Instructions for setting up your Github live over here.