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Detailed Course Information

 

Fall 2022
Nov 27, 2022
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Information Select the desired Level or Schedule Type to find available classes for the course.

CS 43900 - Introduction To Data Visualization
Credit Hours: 3.00. The course offers an introduction to the fundamentals principles, design strategies, and techniques needed to visually communicate, explore, and analyze data. The course focuses primarily on the visual representation of inherently non-spatial data (e.g., tables and spreadsheets, graphs and networks, trees, text, and time series), but also considers the visualization of maps and of data in geospatial context. The course project fulfills the Capstone requirement for Data Science majors who have previously completed CS 37300.
0.000 OR 3.000 Credit hours

Syllabus Available
Levels: Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Lecture, Practice Study Observation

Offered By: College of Science
Department: Computer Science

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

Learning Outcomes: 1. Describe the main visualization techniques and explain their strengths and limitations. 2. Select the most perceptually effective visual encoding for a given data attribute. 3. Perform a principled critique of an existing data visualization. 4. Design an effective data visualization solution for a given data set to address a specific data analysis objective. 5. Create interactive web-based visualizations using open-source software libraries.


Restrictions:
Must be enrolled in one of the following Majors:     
      Computer Science
      Computer Science Honors

Prerequisites:
Undergraduate level CS 25100 Minimum Grade of C

Short Title: Intro To Data Visualization

Course Configurations:

Configuration 1: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0
Practice Study Observation 0 0.0
Configuration 2: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Distance Learning 0 3.0
Configuration 3: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0

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