Research on the Construction of an AI Specialty Curriculum System with Civil Aviation Characteristics

人工智能技术飞速发展，人工智能专业布局高校数量也迅速增长。作为一个较新的专业，由于院校层次及依托学科等的不同，导致培养方案存在较大差异。调研了依托计算机学科建设的6所不同层次高校的人工智能专业培养方案，发现其课程体系均包含数学与物理类、计算机基础类、人工智能类三个模块，且仅最后一个模块的差异较大。分析了我校老版培养方案与调研高校相比存在的问题，基于此重新设计了课程体系，调整了各模块的学分占比，加强了集中实践课程和民航特色课程的设置，并简单探讨了高水平竞赛进行课程替代的问题。With the rapid development of AI technology, the number of universities offering AI specialty has grown significantly. As a relatively new specialty, substantial differences exist in training programs due to variations in institutional levels and foundational disciplines. This study investigates the AI training programs of six universities at different levels, all rooted in computer science. It reveals that their curriculum systems universally include three modules: mathematics and physics, computer fundamentals, and AI-specific courses, with significant differences observed only in the last module. By analyzing the shortcomings of our university’s previous training program compared to those of the surveyed institutions, this paper redesigns the curriculum system, adjusts credit allocations across modules, strengthens intensive practical courses and civil aviation characteristic courses, and briefly explores substituting courses with high-level competitions.