Introduction:
ESM4714: Scientific Visual Data Analysis and Multimedia

Course Registration Info for Spring 00:
WILL NOT BE TAUGHT SPRING 2000
BECAUSE THE BOTH THE MULTIMEDIA & VIZ LABS
WILL BE MOVING INTO THE ACITC SPRING 2000.
THE CLASS WILL BE TAUGHT FALL 2000
IN THE NEW ACITIC MULTIMEDIA & VIZ LABS


Course Registration Info for Spring 99:
ESM4714, Index No. 5351,
T,Th 5:00-6:15pm, McBryde Rm 231

 
Instructors: Ron Kriz, Director, Laboratory for Scientific Visual Analysis and VT-CAVE 
             Jason Lockhart, Director of Multimedia Lab
             Acknowledgement of Gordon Miller, Co-creator of this course (1991-1996)

Class Notebook for students: General Information, Exercises and Assignments.
Student Projects ( 91 / 92 / 93 / 94 / 95 / 96 / 97 / 99 /)

Each academic year, Dr. Ron Kriz teaches a course titled "Scientific Visual Data Analysis and Multimedia" (class syllabus). This year (1999) Jason Lockhart will teach the multimedia portion of the course. Students can focus on a multimedia project or a visualization project. The first half of the class is taught in the Laboratory for Scientific Visual Data Analysis. In the second half of the course the students can use either the Multimedia Lab or develop web-based multimedia project. In either case, all students will do a minimum web page summary of their class projects. During this course, there will be one guest lecturer, Dr. Scott Hendricks who will lecture on how visualization is used to study chaos and fractals.

The course is designed to introduce students to state-of-the-art computer graphics tools for scientific analysis and multmedia presentation of results. The course focuses on how to use (not develop) graphics tools in research activities. The visualization lectures demonstrate how visual tools were first used by scientists such as Galileo and others in their scientific investigations and how we can extend these time-honored principles to the computer graphics workstation.

In this course, students develop an increased understanding of how to use visual tools for interpretation and analysis of large data sets where relationships between physical properties can be better understood or possibly new relationships could be discovered. Students learn how to use multimedia software to effectively communicate these research results to others. Emphasis is placed on how to create an effective multimedia presentation. A majority of the course is one-on-one work with the instructors.

Ron Kriz introducing his class to Scientific Visualization.
(Note: 24.7 Mb Quicktime movie playable on Macintosh / Windows / UNIX machines.)


Visualization Home Page Return to Visualization Home Page


Send comments to: kriz@wave.esm.vt.edu
Ronald D. Kriz
Virginia Tech
College of Engineering
http://www.sv.vt.edu/ classes/ ESM4714/ ESM4714.html

Revised January 6, 1999