INFO2500 Data Visualization

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CRS Acad Level: UG

Course #: INFO2500

Credits: 3

About the Course:

Information visualization is a combination of many disciplines. Principles are drawn from the fields of statistics, perception, graphic design, cognitive psychology, information design, communications, and data mining. This course is an introduction to the principles and techniques for data visualization, and will cover the basic theories of data visualization, such as data types, chart types, visual variables, visualization techniques, structure of data visualization, navigation in data visualization, color theory, cognitive theory, and visualization evaluation. Students will learn visual representation methods and techniques that increase the understanding of complex data and models. Emphasis will be placed on the identification of patterns, trends, and differences from data sets across categories, space, and time. The ways that humans process and encode visual and textual information will be discussed in relation to selecting the appropriate method for the display of quantitative and qualitative data. Graphical methods for specialized data types (time series, categorical, etc.) will be presented. Topics will include charts, tables, graphics, effective presentations, multimedia content, animation, and dashboard design. Examples and cases from a variety of industries will be used. In this course, we will explore visual representation methods and techniques that increase our understanding of complex data. Prerequisite: none.