Announcements

Mon, Dec 17 @ 8:45am - Semester Project Gallery

The project gallery is online!

Tue, Sep 25 @ 9:25am - Next Week

Reminder that I'm on travel next week starting on Tuesday, so no class or office hours on Tuesday or Thursday. But, I will hold office hours on Monday 9:30-11am.

Mon, Sep 17 @ 10:07am - HW 2 Grades Posted

I've posted HW 2 grades on Blackboard. Make sure to look at the "user feedback" section for my comments.

Mon, Sep 10 @ 8:42am - HW 2 Clarification

The main goal of HW 2 is the design aspect of the dashboard -- what elements are used and how well would it allow a teacher to monitor the performance of his/her students. Because you only had a week or so to complete the assignment, that's not enough time to fully implement a dashboard using one of the programming toolkits. But, for full credit, I want to see something implemented either Tableau Public or Excel.

Sat, Sep 8 @ 12:59pm - HW 1 Grades Posted

I've posted HW 1 grades on Blackboard.

Thu, Aug 30 @ 1:15pm - Assignment Deadlines

Unless otherwise noted, all assignments are due before class time on the due date.

Wed, May 2 @ 8:56am - Last Year's Class

Information on last year's offering of this class can be found at http://www.cs.odu.edu/~mweigle/CS795-F11. Make sure to take a look at last year's semester projects.

Tue, Apr 24 @ 1:02pm - Class Overview

"The purpose of visualization is insight, not pictures." -Ben Shneiderman

The main goal of this course is to equip you with the background and tools needed to develop effective visualizations in your own research. In particular, the course has the following objectives:

• learn the foundations/background of information visualization
• learn about existing effective visualization techniques
• design and build new visualizations using current tools

Note the distinction between information visualization and scientific visualization (which we will not study). Scientific visualization focuses on data that has a real, physical representation, such as structures in the human body. Information visualization deals with ways to represent abstract data.

Notes:

• This is a regular graduate topics course and will include lectures, projects, student presentations, readings, and exams.
• This is not a graphics course nor does it have a graphics prerequisite.