Go to Main Content

SCT WWW Information System



Detailed Course Information


Fall 2019 Semester
Jul 28, 2021
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

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:
Graduate CCIS Data Sci Cert

Must be enrolled in one of the following Programs:     
      MS Data Science
Must be enrolled in one of the following Levels:     

(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-

Return to Previous New Search
Transparent Image
Skip to top of page