节点文献
多学科交叉融合的大数据应用型人才培养模式探索
Research on the training mode of big data application talents with interdisciplinary integration
【摘要】 大数据专业具有典型的跨学科特性,多学科交叉融合发展大数据专业已成为必然趋势。针对我国高校大数据专业发展面临的问题,文章结合学校大数据专业的发展实际,给出了在大数据应用型人才培养组织结构、课程体系设置、应用能力培养等方面的探索成果。以期推动大数据专业的发展,满足社会日益增长的大数据应用型人才需求。
【Abstract】 Big data specialty has typical interdisciplinary characteristics, so it has become an inevitable trend to develop big data specialty through interdisciplinary integration. In view of the problems faced by the development of big data specialty in universities in China, this paper, combined with the development practice of big data specialty, gives the exploration results in the aspects of personnel training organization structure, curriculum system setting and application ability training etc. for cultivating big data application talents. It is expected to promote the development of big data specialty and meet the growing demand of big data application-oriented talents.
【Key words】 interdisciplinary integration; big data application talents; training mode; curriculum system;
- 【文献出处】 计算机时代 ,Computer Era , 编辑部邮箱 ,2020年11期
- 【分类号】TP311.13-4;G712
- 【被引频次】3
- 【下载频次】554