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吉林化工学院学报, 2024, 41(2): 1-5     https://doi.org/10.16039/j.cnki.cn22-1249.2024.02.001
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创新创业能力培养的大数据技术课程教学方法研究 
李松1* , 张丽平1 ,丁博1 ,郝晓红1, 郝忠孝1,2
哈尔滨理工大学 计算机科学与技术学院, 黑龙江 哈尔滨   150080
Research on Teaching Model of Big Data Technology Course for Cultivating Innovation and Entrepreneurship Ability
LI Song1*,ZHANG Liping1,DING Bo1, HAO Xiao-hong1,HAO Zhong-xiao1,2
School of Computer Science and Technology, Harbin University of Science and Technology, Heilongjiang Harbin,
150080, China
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摘要 大数据技术课程是一门具有交叉性、实践性、前沿性的计算机专业核心课程。针对创新创业能力培养的目标和要求,分析了大数据技术课程的特点和教学目标,探讨了传统课程内容和教学方法存在的问题。着重从教学资源库、教学方法、考核方式等方面给出了优化的方法,提出了有效的专创融合的教学模式和教学方法。教学实践表明,优化的教学内容和教学方法较好提升了教学效果,增强了学生创新创业的能力。
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李松
张丽平
丁博
郝晓红
郝忠孝
关键词:  创新创业  新工科  大数据  教学方法    
Abstract: The big data technology course is a core course in computer science that is interdisciplinary, practical, and cutting-edge. In response to the goals and requirements of cultivating innovation and entrepreneurship abilities, the characteristics and teaching objectives of big data technology courses were analyzed, and the problems in traditional course content and teaching methods were explored.Optimization methods were presented for teaching resource libraries, teaching methods, and assessment methods, and effective integrated teaching models and methods for innovation and entrepreneurship were proposed.The teaching practice shows that the optimized teaching content and teaching method have better improved the teaching effect and enhanced the students' ability of innovation and entrepreneurship.
Key words:  innovation and entrepreneurship    emerging engineering education    big data    teach method
               出版日期:  2024-02-25      发布日期:  2024-02-25      整期出版日期:  2024-02-25
ZTFLH:     
  G642   
引用本文:    
李松, 张丽平, 丁博, 郝晓红, 郝忠孝. 创新创业能力培养的大数据技术课程教学方法研究 [J]. 吉林化工学院学报, 2024, 41(2): 1-5.
LI Song, ZHANG Liping, DING Bo, HAO Xiao-hong, HAO Zhong-xiao. Research on Teaching Model of Big Data Technology Course for Cultivating Innovation and Entrepreneurship Ability. Journal of Jilin Institute of Chemical Technology, 2024, 41(2): 1-5.
链接本文:  
http://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2024.02.001  或          http://xuebao.jlict.edu.cn/CN/Y2024/V41/I2/1
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