Visual Analytics is the integration of
interactive visualization with analysis techniques to answer a growing
range of questions in science, business, and analysis. It can attack
certain problems whose size, complexity, and need for closely coupled
human and machine analysis may make them otherwise intractable. The
Visual Analytics course encompasses topics in computer graphics,
interaction, visualization, analytics, perception, and cognition.
Graduates with interests and skills in visual analytics can expect an
increasing number of job opportunities in government, industry,
financial services, and other areas.
Who Should Take This Course?
Undergraduate
and graduate students in science, engineering, business, mathematics,
psychology, and other areas are welcome! Non-computer science majors
will be accommodated. Visual analytics is highly interdisciplinary and
different viewpoints are necessary.
Please feel free to contact the instructor if you have any questions!