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Fall 2018 Semester
Dec 13, 2018
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DS 5500 - Information Visualization: Applications in Data Science
Offers students an opportunity to develop effective communication skills with data by drawing from different disciplines including physics, biology, health science, social science, geography, business, and economics. Introduces principles of effective oral and written communication and a wide range of visual data encodings and representations. Covers the foundational principles for visual representations, including human vision and perception and basic interactivity. A semester-long project requires students to translate the domain science or technology problem into the language of data science; design, evaluate, implement, and deploy both static and interactive visualizations of data and data analysis results; translate the results into the language of the original science or technology problem; communicate the findings in oral and written form; and provide constructive criticism of other examples of data communication and visualization.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Data Science Department

Course Attributes:
GSCS Computer & Info Science

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Prerequisites:
(Graduate level CS 5800 Minimum Grade of C- or Graduate level EECE 7205 Minimum Grade of C-) and Graduate level DS 5110 Minimum Grade of C- and Graduate level DS 5220 Minimum Grade of C- and Graduate level DS 5230 Minimum Grade of C-

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