Information Visualization
This course focuses on examining information visualization as applied to online information environments. Topics include the following: theories of visual perception and cognition, data representation, data graphics, presentation models (e.g. treemaps), georeferencing, examining models for  textviz, musicviz, socialviz, science/medical visualization, and usability research and evaluation. Work with citation visualization software, the IBM hosted visualization application: Many Eyes, web search engine visualizations, mashups, and social visualization tools is required. The most current version of this course was offered as a blended course to on- campus and online students.
Course Goals
  • To gain proficiency with visualization tools that can be applied to library and information environments.
  • To build visualizations for various data representations.
  • To develop a strong background in issues surrounding visualization-based usability testing and evaluation.
  • To analyze the features and models of information visualization systems.
  • To understand visualization’s current role in Library 2.0 technologies.
At the conclusion of this class, students will gain conceptual knowledge and hands-on experience in information visualization that provides a foundation for applications and practices in library environments.  The course is comprised of readings assigned on a weekly basis, discussion, laboratory exercises, and examinations.  Relevant academic presentations may be recommended throughout the term.  Additional readings and class exercises may be assigned to substantiate topics.