CSPB 4122 - Information Visualization
*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program.ÌýAdditionally, students must always refer to course syllabus for the most up to date information.Ìý
- Credits: 3.0Ìý
- Prerequisites: CSPB or CSCI 1300 Computer Science 1: Starting Computing and CSPB or CSCI 2824 Discrete Structures with minimum grade C-.
- Minimum Passing Grade: C-
- °Õ±ð³æ³Ù²ú´Ç´Ç°ì:Ìý"Visualization Analysis and Design (AK Peters Visualization Series)", Tamara Munzner,ÌýCRC Press, 2014
[video:https://youtu.be/byYBhVMNhCc]
Brief Description of Course Content
Studies interactive visualization techniques that help people analyze data. This course introduces design, development, and validation approaches for interactive visualizations with applications in various domains, including the analysis of text collections, software visualization, network analytics, and the biomedical sciences. It covers underlying principles, provides an overview of existing techniques, and teaches the background necessary to design innovative visualizations.
Specific Goals for the Course
Ìý
- Define information visualization and describe its role in data analysis
- Illustrate underlying principles in information visualization
- Explain the four nested levels of visualization designÌý
- Design an interactive data visualization
- Build a prototype implementation of an interactive visualization using existing tools/frameworks
- Critique visualization techniques and tools
- Evaluate the utility of visualization system
- Review existing design approaches
- Learn a framework for analyzing and critiquing interactive visualizations
- Develop your own visualizations using existing tools and frameworks
No significant mathematical concepts needed for this course.