CSE6515

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Data Visualization

3 Credit Hour Course

Intended For Level 0 Term 0 Students

Prerequisite:

Foundation of data and visualization [e.g., data types, marks (bars, lines, etc.), and visual encoding channels (i.e., attributes of marks – shape, colour, size); Data cleaning and preprocessing for effective visualization; Fundamentals of human perception and cognitive issues (understand human component of the visualization pipeline, how humans see and process and interpret visual stimuli); Methods and algorithms used to map data to graphical depictions; Visualization techniques for different types of data (multivariate, spatial, Geospatial, time-oriented, etc.); Visualization techniques for trees, graphs, and networks; Design considerations for effective visualization; Interaction concepts and techniques; Comparing and evaluating visualization techniques; Some widely used data visualization systems and toolkits; Case studies on different applications.