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大数据视野下的“大学计算机基础”课程教学改革 被引量:1

Teaching Reform of University Computer Basic Course Based on the Perspective of Big Data
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摘要 在大数据时代里,为了使培养的人才与社会接轨,全国高校纷纷对人才培养方案进行了适当的调整。调整的专业是与大数据密切相关的专业,涉及面不大,而"大学计算机基础"课程教学范围广,受教人数多,基本涉及了全部大学生,是大学生的通俗课程。若对该课程进行改革,引入大数据的理念,培养具有大数据思想的人才一定会对社会的各行各业产生深远的影响。 In the era of big data, in order to train qualified personnel to meet the needs of society, the colleges and universities all over the country have appropriately adjusted their personnel training programs. The adjusted majors are closely related to big data and there are not many students in these fields. But almost all college students take the university computer basic course which is a popular course at university. If we reform the course and introduce the concept of big data into it, we should train students with big data thinking, and they will have a profound impact on their sectors of society in the future.
作者 杨玉军 杨夷梅 胡德斌 Yang Yujun;Yang Yimei;Hu Debin
出处 《科教文汇》 2019年第8期94-96,共3页 Journal of Science and Education
基金 湖南省教学改革项目:基于大数据思维的计算机专业课程教学改革探索(2018-647) 校企合作共建网络工程专业应用型人才培养的研究与实践(2016-699) 怀化学院教改项目:基于大数据思维的计算机专业课程教学改革探索(2018-6) 面向应用型人才培养的网络工程专业实践课程体系探索与研究(2016-22)
关键词 大数据视野 课程教学改革 大学计算机基础 perspective of big data curriculum teaching reform university computer basic course
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  • 1Chris Anderson. The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired, 2008, 16 (7).
  • 2Albert-L~iszl6 Barab~isi. The network takeover. Nature Physics, 2012,8(1): 14-16.
  • 3Reuven Cohen, Shlomo Havlin. Scale-Free Networks Are U1- trasmall. Physical Review Letters, 2003, 90,(5 ).
  • 4Tony Hey, Stewart Tansley, Kristin Tolle (Editors). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft, 2009 October 16.
  • 5Big Data. Nature, 2008, 455(7 209): 1-136.
  • 6Dealing with data. Science, 2011,331 ( 6 018 ): 639-806.
  • 7Complexity. Nature Physics, 2012, 8( 1 ).
  • 8Big Data. ERCIM News, 2012, (89).
  • 9David Lazer, Alex Pentland, Lada Adamic et al. Computational Social Science. Science, 2009, 323 ( 5 915 ): 721-723.
  • 10The 2011 Digital Universe Study: Extracting Value from Chaos. International Data Corporation and EMC, June 2011.

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