CS 795/895 - Applied Visual Analytics
Spring 2013: Mon 3-5:35pm, E&CS 2120

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Staff

  • Dr. Michele Weigle
  • mweigle at cs.odu.edu
  • E&CS 3214
  • Office Hours:
    M 1:30-3pm
    Th 9:30-10:45am

Syllabus

Schedule

Links


Tableau's data visualization software is provided through the Tableau for Teaching program.

Project 2 Notes

Tue, Apr 30

Some of the requirements listed below come directly from the VAST Challenge instructions.

Common required elements

  • presentation (15-20 min)
  • report (3-10 pgs) - due Thurs by 11:59pm
  • group evaluation form

MC 1

  • Your report and presentation should include the answers to the following questions:
    • What data elements are you using for this visualization and what are the important elements for prediction?
    • What interactions are most useful for this task?
  • Show the performance of your prediction on past movies where the data is available (possibly by computing the mean relative error)

MC 2

  • You may submit a storyboard to go along with this. The storyboard should illustrate the expected interactions with the situation awareness display. It should be annotated to highlight the design and explain how they are being used to support situation awareness in the large network.
  • In your report and paper, you must address the following items:
    • Describe the motivation and inspiration for your design.
    • Explain the important design decisions you made.
    • Describe all of the important features of your design.
    • If your design includes storyboards or interactive components, explain those interactions.
    • Describe how the display you designed will enable situation awareness on a large-scale computer network.
    • Describe any important assumptions you made in developing the design.

Mon, Apr 1

MC 1 - http://boxofficevast.org/

Start with old data to test gathering/processing scripts:

Collaboration on data gathering and processing scripts is encouraged.

/sharedspace on weiglevm.cs

  • IMDB