中国大数据专业建设的跨学科模式研究

摘要/Abstract

摘要： 随着以大数据、云计算、人工智能为代表的新一代信息技术的蓬勃发展,数字经济成为了带动中国经济增长的重要引擎,加快大数据专业建设、培养新一代信息技术人才意义重大。当前,国内外已经有多所高校和研究机构开展了大数据人才培养工作,但在如何开展大数据专业建设的问题上还没有成熟的模式。为此,首先梳理了国内外大数据专业建设现状,接着采用德尔菲法(专家调查法)和案例分析法对其进行分析,最后结合跨学科研究和人才培养机制,提出一种“点”“线”“面”“立体”相结合的中国大数据专业建设的跨学科模式,以期为中国大数据专业建设的跨学科发展研究提供有益的参考。

关键词: 大数据, 跨学科, 数据科学, 专业建设

Abstract: With the vigorous development of new generation of information technology represented by big data,cloud computing and artificial intelligence,digital economy has become an important engine to drive China’s economic growth.It is a great significance to speed up the construction of big data discipline and train new generation of information technology talents.At present,there are many universities and research institutes at home and abroad to carry out the training of big data talents,but there is no mature model on how to carry out the construction of big data discipline.Therefore,this paper summarized the existing achievements of the construction of big data discipline at home and abroad,and used the Delphi method (expert investigation method) and case analysis method to conduct analyse.Lastly,combined with interdisciplinary research and personnel training mechanism,the interdisciplinary model of “point”“line”“lane” and “three-dimensional” in the construction of big data discipline in China was proposed to provide useful refe-rence for the interdisciplinary development research of the construction of big data discipline in our country.

Key words: Big data, Data science, Discipline construction, Interdisciplinary

中图分类号:

TP391

宁慧聪. 中国大数据专业建设的跨学科模式研究[J]. 计算机科学, 2019, 46(11A): 159-162. https://doi.org/

NING Hui-cong. Study on Interdisciplinary Model of Construction of Big Data Discipline in China[J]. Computer Science, 2019, 46(11A): 159-162. https://doi.org/

参考文献

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