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1. 贵州民族大学数据科学与信息工程学院,贵州 贵阳 550025
2. 贵州省模式识别与智能系统重点实验室,贵州 贵阳 550025
3. 西南大学电子信息工程学院,重庆 400715
4. 重庆市非线性电路与智能信息处理重点实验室,重庆 400715
Online First:2020-07,
Published:15 July 2020
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Dawen XIA, Lin WANG, Qian ZHANG, et al. Teaching reform and practice of big data application technology course[J]. Big Data Research, 2020, 6(4): 2020038-1.
Dawen XIA, Lin WANG, Qian ZHANG, et al. Teaching reform and practice of big data application technology course[J]. Big Data Research, 2020, 6(4): 2020038-1. DOI: 10.11959/j.issn.2096-0271.2020038.
大数据促进了数据科学研究的发展和数据科学学科的建设,催生了对新型数据人才的需求。分析了大数据人才培养的现实需求,指出了大数据人才培养的现存问题,然后以“大数据应用技术课程”为例,在重构教学体系、优化教学内容、改进教学方法、规范教学过程和完善教学评价等方面阐述了大数据专业教学改革的路径选择与实践,致力于创新培养兼具工程实践能力与技术创新能力的跨界复合型大数据人才。
Big data has promoted the development of data science research and the construction of data science disciplines and spawned the demand for new data talents.Firstly
the practical needs of big data talent training were analyzed.Then
the existing problems of big data talent training were pointed out.Finally
taking the “big data application technology course”as an example
the path selection and practice of teaching reform for big data were explored in terms of restructuring the teaching system
optimizing the teaching content
improving the teaching method
standardizing the teaching process
and updating the teaching evaluation
to innovatively cultivate interdisciplinary big data talents who both have engineering practice capabilities and technological innovation capabilities.
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