0 or 3 credits
Fall 2025 Laboratory Lecture Lower Division
This course is designed for students with little or no background in Data Visualization. It provides an introductory examination of data visualization through lecture, readings and hands-on experience with current visualization tools. Students will obtain an overview of the various types of data, the fundamentals of the visualization process for information and scientific visualization, and examine detail visualizations workflows that aim to answer "when" (temporal data), "where" (geospatial data), "what" (topical data), and "with whom" (trees and networks) questions when visualizing data. After taking the course students will have both the theoretical foundation and practical skills needed to create insightful visualizations for a wide range of data types.
Learning Outcomes1Differentiate between information and scientific visualization.
2Appreciate the visualization process.
3Identify five major information visualization types: charts, tables, graphs, geospatial maps and network maps.
4Articulate which visualization tool to use for specific data formats.
5Compare and evaluate different techniques of data representation.
Restrictions
GPA by professor
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made by Purdue students.