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吉林化工学院学报, 2022, 39(6): 19-23     https://doi.org/10.16039/j.cnki.cn22-1249.2022.06.005
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化工类特色高校数据科学与大数据专业人才培养模式研究
王威娜,马俊
吉林化工学院 理学院,吉林 吉林 132022
Research on Cultivation Mode of Talents Majoring in Data Science and Big Data Technology in Universities with Chemical Characteristics
WANG Weina, MA Jun
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摘要 

化工大数据将为当今化工发展与管理带来新的行业发展方向和经济增长点,在化工类特色高校建设大数据相关学科与专业,对培养面向信息时代支撑现代化工行业发展的复合型人才具有重大的现实意义。本文论证了化工类特色高校数据科学与大数据技术专业建设的必要性,分析了化工类高校数据科学与大数据专业的现状,提出“厘清内涵、逐层推进、优化师资、赋能应用、监控质量”的数据科学与大数据技术专业人才培养策略。

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王威娜
马俊
关键词:  化工类高校  数据科学与大数据技术  人才培养     
Abstract: 

Chemical big data will bring new industry development direction and economic growth for the development and management of chemical industry. It is of great practical significance to establish big data-related majors in universities with chemical characteristics to cultivate inter-disciplinary talents facing the information era so as to support the development of modern chemical industry. This paper demonstrates the necessity of the construction of data science and big data technology majors in universities with chemical characteristics, analyzes the current situation of data science and big data majors in chemical universities, proposes the talent training strategy of "clarifying the connotation, promoting layer by layer, optimizing teachers, enabling applications, and monitoring quality" for data science and big data technology majors.

Key words:  universities with chemical characteristics    data science and big data technology    talent cultivation
               出版日期:  2022-06-25      发布日期:  2022-06-25      整期出版日期:  2022-06-25
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引用本文:    
王威娜, 马俊. 化工类特色高校数据科学与大数据专业人才培养模式研究 [J]. 吉林化工学院学报, 2022, 39(6): 19-23.
WANG Weina, MA Jun. Research on Cultivation Mode of Talents Majoring in Data Science and Big Data Technology in Universities with Chemical Characteristics . Journal of Jilin Institute of Chemical Technology, 2022, 39(6): 19-23.
链接本文:  
https://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2022.06.005  或          https://xuebao.jlict.edu.cn/CN/Y2022/V39/I6/19
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