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大数据背景下经管类专业计算思维培养模式探索 被引量：2

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摘要 为了适应大数据背景下人才需求的特点,文章对提高经济管理类专业学生数据处理能力、训练计算思维习惯的培养模式进行了探讨。文章主要从课程体系设置、教学改革的目标、措施和效果等方面进行阐述。 In order to adapt to the characteristics of talents demand in the big data context, this paper discusses how to improve the data processing capability and train computational thinking in economics and management majors. Curriculum system, objects of instruction innovation, actions of instruction innovation and effects of instruction innovation are explained.
作者 杨年华
机构地区 上海对外经贸大学统计与信息学院
出处 《高教学刊》 2016年第22期77-78,共2页 Journal of Higher Education
基金 上海高校本科重点教学改革项目 上海市教委本科重点课程项目
关键词 大数据 计算思维 经济管理 人才培养 教学改革 big data computational thinking economics and management talent training instruction innovation
分类号 G642 [文化科学—高等教育学]
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参考文献5

  • 1孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,50(1):146-169. 被引量：2384
  • 2J Manyika,M Chui,B Brown,et al.Big data:The next frontier for innovation,competition,and productivity[R].2011.http://www.mckinsey.com/~/media/Mc Kinsey/Business%20Functions/Business%20Technology/Our%20Insights/Big%20data%20The%2011ext%20frontier%20for%20innovation/MGI_big_data_full_report.ashx.
  • 3Big data research and development initiative[R].2012.https://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_pr ess_release_final_2.pdf.
  • 4王飞跃.从计算思维到计算文化.中国计算机学会通讯,2007,3(11).
  • 5J M Wing.Computational thinking[J].Communications of the ACM,2006,49(3):33-35.

二级参考文献167

  • 1Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html.
  • 2Bryant R E, Katz R H, Lazowska E D. Big-Data computing : Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http:// www. cra. org/ccc/docs/init/Big_Data, pdf.
  • 3Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www, sciencemag, org/site/ special/data/, 2011.
  • 4Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra, org/ccc/docs/init/bigdata whitepaper, pdf.
  • 5Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [ 2012-10-02 ]. http://www, mekinsey, corn/ Insights]MGI[Research/Teehnology _ and _ Innovation]Big _ data The next frontier for innovation.
  • 6World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012- 10-02]. http://www3, weforum, org/docs/WEF TC MFS BigDataBigImpact_Briefing 2012. pdf.
  • 7Big Data Across the Federal Government [EB/OL]. [2012-10-02]. http://www, whitehouse, gov/sites/default/ files/microsites/ostp/big_data fact sheet_final_ 1. pdf.
  • 8UN Global Pulse. Big Data for Development:Challenges Opportunities [R/OL]. [ 2012-10-02 ]. http://www. unglobalpulse, org/proj ects/BigDataforDevelopment.
  • 9Times N Y. The age of big data fEB/OLd. [2012-10 -02]. http://www, nytimes, com/2012/02/12/sunday review/big- datas-impact in-the-world, html?pagewanted=all.
  • 10Grobelnik M. Big-data computing: Creating revolutionary breakthroughs in commerce, science, and society [R/OL]. [2012-10 -02]. http://videolectures, net/cswc2012_grobelnik_ big_data/.

共引文献2410

同被引文献9

引证文献2

二级引证文献4

高教学刊
2016年 第22期

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