Course description:
Data visualization is a ?eld of growing importance that combines background expertise in computer graphics, scienti?c computing, data mining, and image processing. It couples these ?elds with artistic, psychological, perceptual, and interactivity concerns. The techniques learned in this class are broadly applicable to all ?elds in engineering and science, where the explosion of data we are now able to generate demands e?ective presentation and analysis. This course will cover basic topics of data visualization techniques for multiple data types, manipulation data to describe it in more meaningful ways, and cover data processing techniques.
The Lab introduces data visualization including both the principles and techniques. Students will learn the value of visualization, specific techniques in information visualization and scientific visualization, and how understand how to best leverage visualization methods. The lab lectures addresses four major topics : Acquiring data and using datasets, analysis and parsing data using Processing toolkits, Visualizing data using Processing toolkits, Implementation Dashboards.