OE/CS Interactive Data Visualization (OE/CS 867:767)
Instructor: Colin Ware
Classroom: J.E. Chase Ocean Engineering Lab, Room 130
This course is about selected topics relating to research in data visualization. It is research-oriented and does not provide an overview or complete introduction to the area. However, it does attempt to provide guidance in carrying out state-of-the-art research.There is a particular emphasis on material related to 3D data visualization and 3D interactive interfaces. Applications relating to oceanography and ocean mapping will be given special attention. This is a writing intensive course.
Most of the material given in the course is human-centered rather than machine-centered. In theory, a computer is a universal machine. It can look and feel like anything the designer can invent. The problem is designing the best interface for the task. This involves a knowledge of human perception and cognition.
Human Perception for Information Display
- Basic Vision and Displays
- Elementary interactive graphics programming
- Color Basics & Color For Information Display
- Space perception
- 2D techniques for Information Visualization
- 3D Interaction techniques for Information Visualization
Visual Thinking Tools
- Flow Visualization
- Graph Vualization
- Interactive Techniques
- Input, Virtual Viewpoint Control, Virtual Reality, Force Feedback
- Multi-dimensional Data Visualization
- GeoSpatial Data Visualization
- Visualization Research Methodologies?
The format will be 60% lectures, 15% student presentations, 25% project-related discussions. The course will require the completion of a research project, typically an innovative visualization prototype, or a human factors evaluation of some system or concept in interactive visualization. Students will be encouraged to undertake projects that have relevance to ocean mapping.
- Assignments: (2 programming,
1 paper) 35%
- In class tests of concepts 5%
- In class presentation:
- Project: 50% (includes
written report, related presentations, etc.) Scholarship, design,
Textbook (recommended, not required):
Visual Thinking for Design. Colin Ware. Morgan Kaufman, 2008.
- In class presentations: November 16 - December 2.
- Project Report due: December 16.
Assignment 1: Vector Field Representation
Particle Flow Example Source Code
Assignment 2: Univariate Color Sequences
3&4:Essay and Presentation