DSC
465:
Data Visualization
An introduction to data visualization techniques to enhance the exploration and analysis of large data sets from a wide range of fields including commercial, financial, medical, scientific and engineering applications. Topics include visual encoding of numeric data, graphical integrity and effective visualization design, visualizing distributions and correlation, false-color techniques for feature extraction and enhancement, basic network visualization and graph layout, isosurface generation, geospatial visualization and volumetric rendering techniques. The course explores both existing visualization software packages and code interfaces for data visualization.
(IT 403 or MAT 453) and (CSC 401 or IT 411 or IS 411 or MAT 449) are prerequisites for this class.