Introduction To Visualization Techniques

Catalog description

An introduction to visualization techniques to represent various forms of data. Topics will include traditional visualization techniques, visual analytics, visual perception and cognition, scalar visualization, volume and surface visualization, flow visualization and medical visualization. Examples and projects from a broad range of fields will be used. This course aims to students in different disciplines for their courses or research work involving data visualization. Permission of department required. Typically offered Fall Spring. Course Learning Outcomes 1. Understand various visualization techniques. 2. Understand the research frontiers in scientific data visualization. 3. Understand the issues and techniques for applying visualization to one of the following visualization problems: medical, flow, scientific, and information. 4. Apply visualization techniques to applications and associated datasets. View Class Schedule