0 to 4 credits
Fall 2025 Lecture Laboratory Distance Learning Upper DivisionVariable Title
Intensive study of selected topics varying from semester to semester, from the practice of information and data sciences. Topics may include data management and organization, digital scholarship, data visualization, computer languages for data and information science, information literacy, archival literacy, and emerging trends in information and data science. Permission of the instructor is required for undergraduates.
Learning Outcomes1Critically examine and apply information and data sciences to various disciplines.
2Develop practical skills and apply them to their disciplinary research.
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made by Purdue students.