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 perceptual and cognitive efficiency and the visual thinking process when using interactive interfaces. Applications relating to oceanography and ocean mapping will be given special attention.
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
- Texture, pattern and motion for information display
- The visual thinking process when using visualizations as cognitive tools
- Interactive methods and cognitive efficiency
Visual Thinking Tools and Tasks
- Flow Visualization
- Graph Vualization
- Interactive Techniques
- Input, Virtual Viewpoint Control, Virtual Reality
- Multi-dimensional Data Visualization
- GeoSpatial Data Visualization
- Visualization Research Methodologies?
The format will be 60% lectures, 20% student presentations, 20% 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 and critique:
- 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 18 - December 2.
- Project Report due: December 16.
Assignment 1: Vector Field Representation
Vector Particle Example Source Code
Data: Data Files
Assignment 2: Designing and testing a symbol set
Main.cpp symbols.h symbols.cpp stopwatch
3&4:Essay and Presentation