研究生“机器学习”课程教学改革实践与探讨

Practice and Research of Teaching Reform of "Machine Learning" Curriculum for Postgraduate

从研究生"机器学习"系列课程的特点出发,结合课程教学组在教学改革方面的实践经验,从教学内容的选择、教学方法的改进、教学手段和考核方法的改革等几方面进行探讨,总结了几点教学改革经验。倡导并实践了问题驱动教学法和互动研讨教学法,并利用网络教学资源、开源工具、多媒体技术等,将传统的课堂讲授模式拓展为多渠道、多形式的研讨式、探究式的互动教学模式,这些教学经验在教学实践中取得良好效果。

Starting from both the features of Machine Learning curriculum for postgraduate and our teaching experience on educational reform, the article discuss some related issues about the choice of teaching content, the improvement of the teaching method, the reform of both teaching technique and examination approach. On the basis of the successful experience in educational experience, we propose the question-driven teaching method and the interactive teaching method, by which the classical teaching in classroom environment are expanded to the multi-channel interactive teaching model with the help of the Internet teaching resources, open-source tools and multimedia materials. The teaching practice shows that the teaching reform improves the teaching and learning effectively.