基于企业人才需求分析的高校本科人才培养模式的改革研究  

作　　者：周燕[1] 朱艳丽[1] 杨敏[1] 

机构地区：[1]华南农业大学数学与信息学院应用数学系,广东广州510000

出　　处：《高教学刊》2019年第11期167-169,共3页Journal of Higher Education

基　　金：华南农业大学2017年校级科创项目"基于数据挖掘在高校教师与大学生数据分析及教学管理研究"(编号:201710564195)

摘　　要：招聘信息一方面能够直接反映用人单位对人才基本条件、能力和素质的要求,同时也能够为高等院校及时了解社会对人才的需求变化情况,为人才培养方案提供参考信息。文章对企业招聘特别是计算机和数据类人才需求信息进行统计分析和数据挖掘,从而总结当今热门行业和人才需求特点与趋势,同时结合笔者自己教学经验,对高等院校的数据与信息类专业课程设置和人才培养模式改革给出了几点的建议。On the one hand, the enterprise recruitment information can directly reflect the requirements of the employer on the basic abilities and qualities of the talents. On the other hand, it can also help high education institutions timely understand the society's requirements for talents. The change in demand provides reference information for the talent training program. This paper conducts statistical analysis and data mining for enterprise recruitment, especially computer and data talents, to summarize the characteristics and trends of today's hot industries and talents. At the same time, combined with the author's own teaching experience, it gave several suggestions for the setting and reform of the talent training model on the data and information courses for colleges and universities.

关 键 词：K-MEANS聚类 主成分分析 关联规则挖掘 课程设置 人才培养 

分 类 号：C961[经济管理—人力资源管理]