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In the era of ubiquitous and embodied intelligence, areas such as intelligent algorithms, the Python programming language, and data processing are gaining increasing popularity. Consequently, adjustments are needed in the training system of the Network Engineering curriculum, and the content of core professional courses also needs to be updated. This paper explores the optimization of the Network Engineering curriculum system, taking three professional courses—Computer Networks, Cloud Computing, and Network Attack Defense and Practice—as examples. It provides targeted strategies for course content selection, teaching methods, and assessment schemes in the intelligent era. It also discusses the practical application of knowledge graph technology in the Computer Networks course.

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A Preliminary Exploration of Network Engineering Curriculum Content Organization and Teaching Method Optimization in the Era of Intelligence

  • 会议论文

  • 发表日期：

    2026年

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  • Sun Weifeng,
  • Gao Jie,
  • Gao Zunjing,
  • Xu Zichuan,
  • Lu Bingxian

摘要

In the era of ubiquitous and embodied intelligence, areas such as intelligent algorithms, the Python programming language, and data processing are gaining increasing popularity. Consequently, adjustments are needed in the training system of the Network Engineering curriculum, and the content of core professional courses also needs to be updated. This paper explores the optimization of the Network Engineering curriculum system, taking three professional courses—Computer Networks, Cloud Computing, and Network Attack Defense and Practice—as examples. It provides targeted strategies for course content selection, teaching methods, and assessment schemes in the intelligent era. It also discusses the practical application of knowledge graph technology in the Computer Networks course.