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Apr 18, 2024
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CAS 5700 - Data and Knowledge
This course introduces students to the theory and practice of data-informed knowledge. It focuses on the challenges and rewards of learning from data. Research problems are drawn from publicly available datasets and students analyze data by way of hands-on computer programming. Clear communication of findings is emphasized throughout the course.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to report data-informed findings to a general audience
- Students will be able to discuss the Value of, and Limitations on, Data-informed Knowledge
- Students will be able to apply statistical thinking to a substantive area of interest
- Students will be able to write mathematical operations in an open-source computer language
- Students will be able to describe data by way of numbers, words, and graphics
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