Teaching Big Data and Cloud Computing: A Modular Approach

被引:3
作者
Deb, Debzani [1 ]
Cousins, Sebastian [1 ]
Fuad, Muztaba [1 ]
机构
[1] Winston Salem State Univ, Dept Comp Sci, Winston Salem, NC 27110 USA
来源
2018 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2018) | 2018年
基金
美国国家科学基金会;
关键词
big data; cloud computing; curriculum; mapreduce;
D O I
10.1109/IPDPSW.2018.00070
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Big data and cloud computing collectively offer a paradigm shift in the way businesses are now acquiring, using and managing information technology. This creates the need for every CS and IT student to be equipped with foundation knowledge in this collective paradigm and to possess some hands-on-experience in deploying and managing big data applications in the cloud. We argue that for substantial coverage of big data and cloud computing concepts and skills, the relevant topics need to be integrated into multiple core courses of CS/IT curriculum rather than creating additional standalone dedicated core or elective courses. Our approach to including these topics is to develop learning modules and to suggest specific core courses in which their coverage might find an appropriate context. In this paper, two such modules are discussed and our classroom experiences during these interventions are documented. Specifically, we discuss the learning outcomes, module contents, their designs and implementations, student assessment results and the lessons learned. Our objective is to share our experience with the instructors who aim at incorporating similar pedagogy that enhance student knowledge on this collective paradigm.
引用
收藏
页码:377 / 383
页数:7
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