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ERIC Number: EJ1136959
Record Type: Journal
Publication Date: 2017-Apr
Pages: 30
Abstractor: As Provided
Reference Count: N/A
ISBN: N/A
ISSN: ISSN-1540-4595
Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course
Asamoah, Daniel Adomako; Sharda, Ramesh; Hassan Zadeh, Amir; Kalgotra, Pankush
Decision Sciences Journal of Innovative Education, v15 n2 p161-190 Apr 2017
In this article, we present an experiential perspective on how a big data analytics course was designed and delivered to students at a major Midwestern university. In reference to the "MSIS 2006 Model Curriculum," we designed this course as a level 2 course, with prerequisites in databases, computer programming, statistics, and data mining. Students in the class were mostly seniors or at the graduate level, and had a strong technical and quantitative background. We include details of concepts covered in the course, as well as summaries of four major sample course assignments used. Some of the concepts covered include large-scale data collection and management using the Hadoop ecosystem, stream mining, visual analytics, and social network analytics. Besides Hadoop, the course also introduced various IBM and Teradata big data tools. We show how the course modules align with the intended learning goals and course objectives. A post-course survey indicated that the structure and organization of the course helped students clearly and concisely assimilate the course content.
Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A