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CST 6320 - Data Visualization
This course will provide students with the knowledge of the key principles, concepts, and techniques involved in data visualization and will let them explore a wide range of statistical tools most commonly used to process, analyze, and visualize complex data from different sources. Techniques for visualizing one-dimensional data (e.g., temporal data); two-dimensional data (e.g., geospatial data); multidimensional data; hierarchies and graphs (e.g., tree structures); networks (e.g., social networks) and text (e.g., mining text and hypertext from Web) will be discussed. Prerequisites: Fundamentals of Data Analytics, CST 6307-Data Mining 3.000 Credit hours 3.000 Lecture hours Syllabus Available Levels: Graduate Schedule Types: Lecture Computer Science Department

CST 6320 - Data Visualization

This course will provide students with the knowledge of the key principles, concepts, and techniques involved in data visualization and will let them explore a wide range of statistical tools most commonly used to process, analyze, and visualize complex data from different sources. Techniques for visualizing one-dimensional data (e.g., temporal data); two-dimensional data (e.g., geospatial data); multidimensional data; hierarchies and graphs (e.g., tree structures); networks (e.g., social networks) and text (e.g., mining text and hypertext from Web) will be discussed.

Prerequisites: Fundamentals of Data Analytics, CST 6307-Data Mining

3.000 Credit hours
3.000 Lecture hours

Syllabus Available
Levels: Graduate
Schedule Types: Lecture

Computer Science Department

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Catalog Entries		Fall 2021 May 04, 2024

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