大数据高级技术人才协同创新培养研究与实践——以计算机全日制专业学位研究生与本科生协同创新培养为例

发布时间：2018-03-16 08:37

本文选题：大数据　切入点：计算机专业　出处：《中国电化教育》2017年06期 　论文类型：期刊论文

【摘要】：大数据是信息科技的最新聚焦点之一,也属于国家信息产业和创新创业的突破点。目前在大数据产业高级技术人才的培养中还缺乏科学系统的创新培养方案和课程体系、合理可行的协同创新培养模式、有针对性的新型培养质量评价体系。该文通过立体综合的大数据相关课程建设和竞赛指导实践、文献分析研究、产业调研、教学研讨及项目实施,提出了分层、分级、可扩展的大数据产业高级技术人才协同创新培养模型,为了更好地适应快速而多变的大数据技术架构演进,又提出了主客观结合的人才培养模型、课程体系及培养方案的递归修正过程,进而建立了大数据产业高级技术人才协同创新培养实训与实践平台。通过实践案例分析,验证了所构建模式、模型、课程体系、实训与实践平台的有效性。
[Abstract]:Big data is one of the latest focal points in information technology, and it is also a breakthrough point for the national information industry and innovation and entrepreneurship. At present, there is still a lack of scientific and systematic innovative training programs and curriculum systems in the training of senior technical personnel in big data industry. A reasonable and feasible cooperative innovation training model, a new targeted training quality evaluation system, this paper, through the stereoscopic comprehensive big data curriculum construction and competition guidance practice, literature analysis and research, industry research, In order to better adapt to the rapid and changeable technological structure evolution of big data, this paper puts forward a hierarchical, hierarchical and scalable cooperative innovation training model for big data industry senior technical personnel. This paper also puts forward the training model of talents combining subjectivity and objectivity, the recursive correction process of curriculum system and training scheme, and then establishes the practical training and practice platform for big data industry advanced technical talents. The validity of the constructed model, model, curriculum system, practical training and practice platform is verified.
【作者单位】：重庆大学计算机学院;重庆大学信息物理社会可信服务计算教育部重点实验室;
【基金】：重庆市研究生教育教学改革研究重点项目“大数据产业下计算机全日制专业硕士创新培养模式研究”(项目编号:yjg132027) 重庆市高等教育教学改革研究项目“面向大数据创新创业的计算机类本科生培养模式与质量评价研究”(项目编号:153003) 中国学位与研究生教育学会研究课题“大数据产业下全日制专业硕士创新创业能力的培养与质量评价研究”(项目编号:C-2015Y0414-111)资助
【分类号】：G642;TP3-4

【相似文献】