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Fall 2015 Semester
Oct 21, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

EECE 5642 - Data Visualization
Introduces relevant topics and concepts in visualization, including computer graphics, visual data representation, physical and human vision models, numerical representation of knowledge and concept, animation techniques, pattern analysis, and computational methods. Topics include tools and techniques for practical visualization and elements of related fields, including computer graphics, human perception, computer vision, imaging science, multimedia, human-computer interaction, computational science, and information theory. Covers examples from a variety of scientific, medical, interactive multimedia, and artistic applications. Includes hands-on exercises and projects. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. Prereq. Junior, senior, or graduate standing; engineering students only.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Lecture

Electrical and Comp Engineerng Department

Course Attributes:
GSEN Engineering

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate
      Graduate
Must be enrolled in one of the following Colleges:     
      College of Engineering
Must be enrolled in one of the following Classifications:     
      Junior
      Senior
      Graduate

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