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|CS 43900 - Introduction To Data Visualization|
Credit Hours: 3.00. The course offers an introduction to the fundamentals principles, design strategies, and techniques needed to visually communicate, explore, and analyze data. The course focuses primarily on the visual representation of inherently non-spatial data (e.g., tables and spreadsheets, graphs and networks, trees, text, and time series), but also considers the visualization of maps and of data in geospatial context. The course project fulfills the Capstone requirement for Data Science majors who have previously completed CS 37300.
0.000 OR 3.000 Credit hours
Levels: Graduate, Professional, Undergraduate
Schedule Types: Distance Learning, Lecture, Practice Study Observation
Offered By: College of Science
Department: Computer Science
May be offered at any of the following campuses:
Learning Outcomes: 1. Describe the main visualization techniques and explain their strengths and limitations. 2. Select the most perceptually effective visual encoding for a given data attribute. 3. Perform a principled critique of an existing data visualization. 4. Design an effective data visualization solution for a given data set to address a specific data analysis objective. 5. Create interactive web-based visualizations using open-source software libraries.
Must be enrolled in one of the following Majors:
Computer Science Honors
Undergraduate level CS 25100 Minimum Grade of C
Short Title: Intro To Data Visualization