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大数据背景下“统计学”课程教学方法研究 被引量:9

Research on the Teaching Methodology of the "Statistics" Course in the Era of Big Data
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摘要 大数据技术飞速发展给统计学带来机遇和挑战,大数据背景下,统计学专业培养目标当顺应时代变化有所调整,教学方法方面需要体现传统统计学和大数据背景下数据分析的异同,开发各类贴近实际、可操作性强的教学手段,统筹兼顾相关课程,提高教学质量促进学科发展。 The rapid development of big data technology brings opportunities and challenges to statistics.Under this background,the training objectives of statistics should be adjusted according to the changing times and the teaching methodology need to reflect similarities and differences.We should develop various teaching methods that are close to reality and maneuverability and take overall consideration of relevant courses which improve teaching quality and promote discipline development.
作者 韩静舒 HAN Jing-shu(Institute of Statistics and Applied Mathematics,Anhui University of Finance and Economic,Bengbu,Anhui 233030,China)
出处 《教育教学论坛》 2019年第9期178-179,共2页 Education And Teaching Forum
关键词 大数据 “统计学” 教学方法 教学团队 big data "Statistics" teaching methodology teaching team
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  • 1Pat Helland.If You Have Too Much Data, then “Good Enough” Is Good Enough[J].Queue.2011(5)
  • 2赵云山,刘焕焕.大数据技术在电力行业的应用研究[J].2013电力行业信息化年会论文集[C].2013.
  • 3Steve Lohr. The Age of Big Data[ N ]. New York Times, 2012 - 02 -11.
  • 4Mckisey Global Institute. Big data : The next frontier for innovation, competition, and productivity[ OL]. 2012 - 08 - 21.
  • 5IBM. What is big Data? [OL]. 2012 -08 -20.
  • 6Panda B, Herbach JS, Beau S, et al. PLANET: Massively parallel learning of tree ensembles with MapReduce [ J ]. PVLDB, 2009,2 (2) :1426 - 1437.
  • 7Kumar V,Andrade H,Gedik B ,et al. DEDUCE:At the intersection of MapReduce and stream processing In : M&nolescu I, Spaccapietra S, Teubner J, KitauregawaM, Leger A, Naumann F, Ailamaki A. Ozcan F, eds. Proc. oftheEDBT. Lausanne: ACM Press, 2010,657 - 662.
  • 8Wieder A, Bhatotia P, Post A, et al. Brief announcement : Modelling MapReduce for optimal execution in the cloud. In: RjchaAW, Guerraouik R, eds. Proe. ofthePODC. Zurich : ACM Press. 2010,408 - 409.
  • 9Big Data. Nature, 2008, 455 (7209) : 1 - 136.
  • 10Dealing with data. Science, 2011, 331(6018) : 639- 806.

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