模式识别课程建设与教学实践探索

The Exploration of Course Construction and Teaching Practice for Pattern Recognition Course

针对模式识别课程特色不鲜明、方法理论陈旧、实践内容相对薄弱等情况,通过紧跟人工智能学术前沿、融合学术研究驱动的教学思想探究模式识别教学方法。从课程内容和实验设计等环节出发,注重关键技术理论和实践相结合,帮助学生掌握模式识别领域的经典及前沿方法和研究方向,通过半开放实验作业在提高学生对理论知识的深入理解的同时,培养学生的创新性思维和科研素养。

In view of the lack of distinctive characteristics of the Pattern Recognition course, the outdated method and theory,and the relatively weak practical content, the Pattern Recognition teaching method is explored by closely following the academic frontier of artificial intelligence and integrating the teaching ideas driven by academic research. This paper focuses on the course content and experimental design as well as the combination of key technical theory and practice to help students master the classic and cutting-edge methods and research directions in the field of pattern recognition, improve students’ theoretical knowledge through semi-open experimental assignments, and cultivate students’ innovative thinking and scientific research literacy.