“模式识别技术”课程教学改革探索

Exploration on Teaching Reform of Pattern Recognition Technology

在大数据时代,模式识别技术的广泛应用促进了该领域人才的需求,使得“模式识别技术”课程在高校人才培养中的重要地位逐渐凸显。“模式识别技术”课程是一门多学科交叉的课程,该课程具有理论性强、知识点多、概念抽象难理解的特点。这些特点使得在较少课时下如何让学生较好掌握该门课的知识成为一个难题。文章以此为出发点,从理论学习过程创新、算法学习过程创新、授课方式创新、教材创新四个方面探索“模式识别技术”课程教学改革方法。

concepts that are difficult to understand.These characteristics make it a difficult problem for students to better grasp the knowledge of the course in less class hours.Taking this as a starting point,the article explores the teaching reform method of pattern recognition technology from four aspects:innovation of theoretical learning process,innovation of algorithm learning process,innovation of teaching methods,and innovation of teaching materials.