Research on teaching reform path of Computer Network security course in big data era
Abstract
With the deepening of education reform, college computer network security teaching should be further optimized,
teachers should actively introduce new education concepts, teaching methods, in order to better arouse students’ interest, strengthen their
understanding of computer network security knowledge and application level, improve teaching eff ect. Big data technology, as a popular
teaching assistant means, plays an important role in enriching the content of computer network security teaching in colleges and universities
and broadening the path of education. In view of this, this paper will analyze the teaching reform of computer network security course in the
era of big data, and put forward some strategies for your colleagues’ reference.
teachers should actively introduce new education concepts, teaching methods, in order to better arouse students’ interest, strengthen their
understanding of computer network security knowledge and application level, improve teaching eff ect. Big data technology, as a popular
teaching assistant means, plays an important role in enriching the content of computer network security teaching in colleges and universities
and broadening the path of education. In view of this, this paper will analyze the teaching reform of computer network security course in the
era of big data, and put forward some strategies for your colleagues’ reference.
Keywords
Big data; Universities and colleges; Computer network security; Teaching reform
Full Text:
PDFReferences
[1] Xiaoying Cao. Research on Teaching reform Path of Computer Network Security course in the era of Big Data [J]. Network Security Technology and
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[2] Ying Wang. Design of Computer Network security defense system under the background of Big Data [J]. Network Security Technology and
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[4] Wentao Chen. Optimization Strategy of Computer Network security technology in the era of big Data [J]. Network Security Technology and
Application,2023(1):157-158.
DOI: https://doi.org/10.18686/esta.v10i4.633
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