Abstract
Through an experiential perspective, we design a framework for how a Big Data Analytics course can be delivered to both undergraduate and graduate students. The framework consists of three main phases: sensitization, principles and practice. We further provide a set of seven practical guidelines for teaching Big Data Analytics.
Original language | American English |
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State | Published - 2016 |
Event | 2016 Annual Meeting of the Decision Sciences Institute: Effective Decision Making in Uncertain Business Environments: Strategies, Practices, and Techniques - Austin, United States Duration: Nov 19 2016 → Nov 22 2016 https://perma.cc/A2SR-2W7E |
Conference
Conference | 2016 Annual Meeting of the Decision Sciences Institute |
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Country/Territory | United States |
City | Austin |
Period | 11/19/16 → 11/22/16 |
Internet address |
Keywords
- Teaching innovation
- Data Analytics
Disciplines
- Operations and Supply Chain Management
- Management Information Systems
- Business Administration, Management, and Operations