DocumentCode :
654394
Title :
Catching the wave: Big data in the classroom
Author :
Romanowski, Carol J. ; Raj, Rajesh Kumar
Author_Institution :
Center for Multidiscipl. Studies, Rochester Inst. of Technol., Rochester, NY, USA
fYear :
2013
fDate :
23-26 Oct. 2013
Firstpage :
405
Lastpage :
406
Abstract :
Many diverse domains-in the sciences, engineering, healthcare, and homeland security-have been grappling with the analysis of “Big Data,” which has become shorthand to represent extremely large amounts of diverse types of data. A recent Gartner report predicts that around 4.4 million IT jobs globally will be created by 2015 to support Big Data, with 1.9 million of those jobs in the United States. Therefore, understanding approaches and techniques for handling and analyzing Big Data from diverse domains has become crucial for not only in computing but also engineering students. The mini-workshop will make use of active and collaborative learning exercises to introduce faculty in computer science, software engineering, and other disciplines to concepts and techniques involved in managing and analyzing Big Data. Approaches for incorporating Big Data into the engineering and computing curricula will also be presented.
Keywords :
Big Data; computer science education; data analysis; software engineering; Big Data analysis; Big Data management; collaborative learning; computer science; computing curricula; engineering curricula; engineering students; software engineering; Computer science; Conferences; Data handling; Data mining; Data storage systems; Education; Information management; big data; data analytics; data mining; data-intensive applications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Education Conference, 2013 IEEE
Conference_Location :
Oklahoma City, OK
ISSN :
0190-5848
Type :
conf
DOI :
10.1109/FIE.2013.6684855
Filename :
6684855
Link To Document :
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