创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (22): 72-74.

• 教育改革与发展 • 上一篇    下一篇

基于“一引领两驱动三平台”的算法分析与设计一流课程建设与实践

陶家俊, 刘伟, 严承, 况玲, 胡为, 李小智   

  1. 湖南中医药大学 信息科学与工程学院,湖南长沙 410208
  • 出版日期:2025-11-25 发布日期:2026-05-14
  • 通讯作者: 刘伟(1982—),男,湖南双峰人,博士研究生,教授,研究方向:人工智能、医药信息学和高等教育教学,电子邮箱:weiliu@hnucm.edu.cn。
  • 作者简介:陶家俊(1994—),男,湖南长沙人,硕士研究生,助教,研究方向:计算机视觉和人工智能。
  • 基金资助:
    2023年湖南省普通高等学校教学改革研究项目(重点项目)“医工融合和工程认证背景下高等中医药院校计算机科学与技术一流专业建设探索与实践”(HNJG-20230511); 2023年湖南省学位与研究生教学改革研究项目(课程思政项目)“课程思政和医工融合视域下电子信息专业研究生‘算法分析与设计’课程教学改革实践与探索”(2023JGSZ075)

Construction and Practice of Algorithm Analysis and Design First-Class Course Based on the “One Guidance, Two Drivers, and Three Platforms”

TAO Jiajun, LIU Wei, YAN Cheng, KUANG Ling, HU Wei, LI Xiaozhi   

  1. School of Informatics, Hunan University of Chinese Medicine, Changsha Hunan, 410208, China
  • Online:2025-11-25 Published:2026-05-14

摘要: 算法分析与设计是计算机和电子信息相关专业本科生和研究生的核心专业课程之一。课程教学团队以课程思政为引领,以学科竞赛和医工融合为课程建设的双驱动,基于智慧树共享课、智慧树翻转课和OJ在线判题系统3个平台,深入开展算法分析与设计一流课程建设,打造“一引领两驱动三平台”课程教学体系,在教学实践中取得良好效果,课程先后获批省级线上一流课程、省级线上线下混合式一流课程和省级课程思政示范课程。

关键词: 算法分析与设计, 一流课程, 课程思政, 学科竞赛, 医工融合, 课程建设

Abstract: Algorithm analysis and design is one of the core professional courses for undergraduates and graduate students majoring in computer science and electronic information. The teaching team uses curriculum ideology and politics as the guidance, employs disciplinary competitions and medicine-engineering integration as two drivers, and utilizes three major platforms—Zhihuishu shared courses, Zhihuishu flipped classrooms, and the Online Judge system. The team has deeply advanced the construction of algorithm analysis and design first-class course. This effort has established a teaching system characterized by“one guidance, two drivers, and three platforms”, which achieving notable results in teaching practice. The course has successively been approved as a provincial-level first-class online course, a provincial-level online-offline blended first-class course, and a provincial-level model course for ideology and politics in curriculum.

Key words: Algorithm analysis and design, First-class course, Curriculum ideology and politics, Disciplinary competition, Medicine-engineering integration, Course construction

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