On the Integration of Big Data and Cloud Computing Topics (Abstract Only)
On the Integration of Big Data and Cloud Computing Topics (Abstract Only)
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论大数据与云计算的融合话题（仅摘要）
DOI：
10.1145/3017680.3022436
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Deb, Debzani
中科院分区：
文献类型：
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作者：
Deb, Debzani
随着大数据和云计算模式的快速发展，我们认为，每一个CS和IT学生都应该配备在这个集体范式的基础知识，并应拥有在云中管理大数据应用程序的实践经验，以获得必要的技能，以满足当前和未来的行业需求。这张海报展示了我们的研究，提出了将大数据和云计算相关主题逐步系统地整合到CS/IT课程的多个核心（必修）课程中。NSF资助的研究将对CS/IT学生及其教师有用，因为它将确定重要的大数据和云计算相关主题，找到一系列可以最有效地纳入现有核心课程的规定主题，并建议特定的核心课程，其中他们的覆盖范围可能会找到适当的背景。海报将进一步确定这一干预措施可能遇到的主要挑战，并将对这些挑战进行更深入的分析。最后，海报将描述我们在2016年秋季学期实施一门这样的课程并提出干预措施的经验。衡量学生对大数据和云计算主题的意见和理解的前后测试结果将在海报中展示，这表明学生的兴趣和学习得到了提高。
With the fast growth of big data and cloud computing paradigm, we argue that each and every CS and IT students should be equipped with foundation knowledge in this collective paradigm and should possess hand-onexperiences in managing big data applications in clouds to acquire skills that are necessary to meet current and future industry demands. This poster presents our research that proposes gradual and systematic integration of big data and cloud computing related topics into multiple core (required) courses of CS/IT curriculum. The NSF funded study will be useful for CS/IT students and their instructors as it will identify big data and cloud computing related topics that are important to cover, find a sequence of the prescribed topics that can be incorporated into existing core courses most effectively, and suggest specific core courses in which their coverage might find an appropriate context. The poster will further identify the major challenges this intervention may encounter and will provide a deeper analysis of them. Finally, the poster will describe our experience of implementing one such course with proposed interventions during Fall of 2016 semester. The pre-post-test results that measure student opinion and understanding about big data and cloud computing topics will be presented in the poster which demonstrates improved student interest and learning.