面向应用型本科的“数据挖掘导论”课程建设研究

Research on“Introduction to Data Mining”Course Construction for Application-oriented Undergraduate Programs

作为一个多学科交叉的新兴学科,数据挖掘在各领域得到了广泛应用,成为学术界与工业界的研究热点和焦点,数据挖掘专业人才在大数据行业日益发展的环境下显得供不应求,因此各高校高度重视数据挖掘人才的培养,开设“数据挖掘导论”相关课程。然而,传统教学偏重理论,无法满足应用型人才的培养要求。针对当前课程教学中存在的问题,分析面向应用型本科的“数据挖掘导论”课程建设,探索课程的教学内容及考核方式。

As an emerging discipline of multidisciplinary intersection,data mining has been widely used in various fields,and has become a research hotspot and focus in academia and industry field,and data mining professionals appear to be in short supply in the environment of the growing development of the Big Data industry.So colleges and universities have attached great importance to the cultivation of data mining talents,and have opened the“Introduction to Data Mining”related courses.However,traditional teaching favors theory and cannot meet the training requirements of application-oriented talents.We analyze the construction of the“Introductory to Data Mining”course for application-oriented undergraduates and explore the teaching content and assessment methods of the course in view of the problems existing in the teaching of the current course.