共智融合的大数据智能化人才培养研究与实践

There are currently four teaching problems in big data intelligent personnel training: the big data intelligent personnel training goals are not yet clear, the knowledge system of integrated big data and artificial intelligence is not perfect, the practical teaching system and the big data intelligent industry development requirements are not yet matched, and the course groups and teaching case resources to support big data intelligent basic ability improvement are not enough. In this paper, we proposed five teaching reform innovations and one education technology innovation for the above four problems: data and intelligence integrated hierarchical ability measurement and dynamically expanding knowledge system; open training organization and teaching process with integration of science and engineering, integration of production and education, and innovation traction; industry-university-research-use training mechanism system with benign interaction and collaborative innovation; distinctive course projects and