人工智能背景下线性代数与Python融合教学改革探索

Reform and Practice of Linear Algebra and Python Integrated Teaching under the Background of Artificial Intelligence

摘要: 线性代数与Python融合教学改革是鉴于当前线性代数课程概念抽象、计算繁琐、重理论轻应用、与专业实践脱节等问题，为满足人工智能发展与现代工程教育对创新人才的培养需求而进行的。通过教学内容重构、教学方法创新、典型案例设计与评价体系完善，借助Numpy、Matplotlib等工具，构建“理论讲解–代码实现–工程应用”三层次一体化的教学体系，实现抽象概念可视化、复杂计算简便化和专业内容场景化。

Abstract: In order to solve the problems existing in the current linear algebra course such as abstract concept, complicated calculation, too much emphasis on theory and lack of connection with professional practice, the reform of integrated teaching of linear algebra and Python is carried out. It seeks to satisfy the need for developing innovative talents against the backdrop of artificial intelligence progress and modern engineering education. Through the restructuring of teaching content, innovation of teaching methods, design of typical cases and improvement of the evaluation system, with the aid of NumPy, Matplotlib and other tools, a three-level integrated teaching system of “theoretical explanation - code implementation - engineering application” is established, making it possible to visualize abstract ideas, simplify difficult computations, and put professional topics into context.