Wednesday, 15 April 2015

Torsten Möller: Data Visualization Course

http://www2.cs.sfu.ca/~torsten/Teaching/Cmpt467/

Content Description:
Visualization deals with all aspects that are connected with the visual representation of data sets from scientific experiments, simulations, medical scanners, databases, web system, and the like in order to achieve a deeper understanding or a simpler representation of complex phenomena and to extract important information visually. To obtain these goals, both well-known techniques from the field of interactive computer graphics and completely new methods are applied. The objective of the course is to provide knowledge about visualization algorithms and data structures as well as acquaintance with practical applications of visualization. Through several projects the student is expected to learn methods to explore and visualize different kinds of data sets.
  • Introduction and historical remarks
  • Abstract visualization concepts and the visualization pipeline
  • Data acquisition and representation (sampling and reconstruction; grids and data structures).
  • Basic mapping concepts
  • Visualization of scalar fields (isosurface extraction, volume rendering)
  • Visualization of vector fields (particle tracing, texture-based methods, vector field topology)
  • Tensor fields, multi-attribute data, multi-field visualization
  • Human visual perception + Color
  • Space/Order + Depth/Occlusion
  • Focus+Context; Navigation+Zoom
  • Visualization of graphs and trees and high-dimensional data
  • Evaluation + Interaction models 

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