Students will be provided with a sound grounding on the principles, methods, and techniques for effective visual analysis of data. Students will explore many aspects of visualization, including techniques for both spatial (e.g., gridded data from simulations and scanning devices) and non-spatial data (e.g., graphs, text, high-dimensional tabular data).
Students will get acquainted with the principles from computer graphics and human perception, and will learn visualization techniques and methods for a broad range of data types, specifically scientific visualization techniques for spatial data, and information visualization techniques for abstract data.
Students will be involved in project activities.
Professor of Computer Science
- Outside Preparation