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.