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Institution:
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Utah Tech University
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Subject:
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Computer Science
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Description:
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This course covers the fundamentals of data visualization, including the types of visualizations and techniques to accommodate different types of data. Students will use state-of-the-art programming tools to practice communicating the meaning of patterns, anomalies, and insights found in real datasets. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Compare and contrast common types and approaches of data visualization. 2. Justify the use of appropriate visualization approaches for different types of datasets. 3. Create visualizations that effectively communicate insights from large datasets. Prerequisites: CS 2420 AND CS 2810 (Grade C or higher). FA
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(435) 652-7500
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Regional Accreditation:
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Northwest Commission on Colleges and Universities
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Calendar System:
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Semester
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