A Module-based Approach to Teaching Big data and Cloud Computing Topics at CS Undergraduate Level

被引:9
|
作者
Deb, Debzani [1 ]
Fuad, Muztaba [1 ]
Irwin, Keith [1 ]
机构
[1] Winston Salem State Univ, Dept Comp Sci, Winston Salem, NC 27110 USA
来源
SIGCSE '19: PROCEEDINGS OF THE 50TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION | 2019年
基金
美国国家科学基金会;
关键词
Big data; Cloud computing; Curriculum; Mapreduce; Apache Spark;
D O I
10.1145/3287324.3287494
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
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 student to be equipped with foundational 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 across the undergraduate CS curriculum rather than creating additional standalone core or elective courses and performing a major overhaul of the curriculum. Our approach to including these topics is to develop autonomous learning modules for specific core courses in which their coverage might find an appropriate context. In this paper, three such modules are discussed and our classroom experiences during these interventions are documented. So far, we have achieved reasonable success in attaining student learning outcomes, enhanced engagement, and interests. Our objective is to share our experience with the academics who aim at incorporating similar pedagogy and to receive feedback about our approach.
引用
收藏
页码:2 / 8
页数:7
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