Apr 19, 2024  
2020-2021 Undergraduate Catalog 
    
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

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CS 445 - Data and Information Visualization


Description:
Data visualization includes the visualization pipeline, basic and advanced visual data representations, fundamental and advanced visualization algorithms, visualization on the web, applications and software tools. CS 445 and CS 545 are layered courses; students may not receive credit for both. Course does not have an established scheduling pattern.

Prerequisites:
Prerequisite: CS 302 with a grade of C or higher.

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Construct visualization pipelines for specific visualization tasks.
  • Apply visual data representations.
  • Create effective operational models for knowledge of fundamental visualization algorithms.
  • Quantify visualization frameworks for web visualization applications.
     

Learner Outcomes Approval Date:
4/3/20

Anticipated Course Offering Terms and Locations:



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