Information Visualization | BS in Applied Computer Science

Course Details

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Credits: 3.0
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-
Textbook: "Visualization Analysis and Design (AK Peters Visualization Series)", Tamara Munzner, CRC Press, 2014

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

Specific Outcomes of Instruction

Define information visualization and describe its role in data analysis
Illustrate underlying principles in information visualization
Explain the four nested levels of visualization design
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

Brief List of Topics to be Covered

Review existing design approaches
Learn a framework for analyzing and critiquing interactive visualizations
Develop your own visualizations using existing tools and frameworks

Mathematical Concepts Used

No significant mathematical concepts needed for this course.

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CSPB 4122 - Information Visualization

Course Details

Brief Description of Course Content

Specific Goals