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http://dx.doi.org/10.3743/KOSIM.2022.39.1.119

An Examination of the Course Syllabi related to Data Science at the ALA-accredited Library and Information Science Programs  

Park, Hyoungjoo (충남대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.39, no.1, 2022 , pp. 119-143 More about this Journal
Abstract
This preliminary study examined the status of data science-related course syllabi in the American Library Association (ALA) accredited Library and Information Science (LIS) programs. The purpose of this study was to explore LIS course syllabi related to data science, such as course title, course description, learning outcomes, and weekly topics. LIS programs offer various topics in data science such as the introduction to data science, data mining, database, data analysis, data visualization, data curation and management, machine learning, metadata, and computer programming. This study contributes to helping instructors develop or revise course materials to improve course competencies related to data science in the ALA-accredited LIS programs.
Keywords
data science; data science curriculum; LIS curriculum; course development;
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