【作者】 张淼； 张华； 佟晓筠； 董开坤； 周广禄； 张振宇；

【Author】 Miao Zhang;Hua Zhang;Xiaojun Tong;Kaikun Dong;Guanglu Zhou;Zhenyu Zhang;School of Computer Science and Technology Harbin Institute of Technology;Dean’s office Harbin Institute of Technology;

【机构】 哈尔滨工业大学(威海)计算机科学与技术学院； 哈尔滨工业大学(威海)教务处；

【摘要】 针对软件安全课程的知识点庞大和实践性强及多样性特点,本文基于深度学习理论,融合课程思政,提出"课前两备、课中五通道、课后四追踪"的软件安全课程深度学习模型,以实现高质量的教学。实践证明,该模型能够有效解决有限学时内完成大量知识讲授,提高学生的动手实践能力,增强课堂教学效果。更多还原

【Abstract】 In response to the large number of knowledge points, strong practicality, and diverse practical characteristics of software security courses, this paper proposes a deep learning model for software security course based on deep learning theory and integrating course ideology and politics, which includes "two preparations before class, five channels during class, and four tracking after class" to achieve high-quality teaching. Practice has proven that this model can effectively solve the problem of completing a large amount of knowledge teaching within a limited class hour, improve students’ hands-on practical ability, and enhance classroom teaching effectiveness.更多还原