以学科竞赛驱动大数据专业应用创新型人才培养实践
摘要：应用型本科高校的重要任务就是要培养具有创新精神和实践能力的高素质应用创新型人才，学科竞赛是实现大数据专业应用创新型人才培养目标的重要举措，本科生在选择学科竞赛时存在盲目性、片面性、连续性问题。该文围绕学科竞赛对大数据专业人才培养在课程体系、课程内容、实践教学三个方面进行了探讨。
关键词：大数据专业;学科竞赛;应用型本科;应用创新型人才
中图分类号：G642 文献标识码：A
文章编号：1009-3044（2021）33-0251-03
开放科学（资源服务）标识码（OSID）：
Training Practice of Big Data Application Innovative Talents Driven by Subject Competition
ZHANG Yue，YANG Fei-fei，YANG Jun， HUANG Zhao-xian
（Shandong Youth University of Political Science， Jinan 250103，China）
Abstract：The important task of application-oriented universities is to cultivate high-quality application-innovative talents with innovative spirit and practical ability. Discipline competition is an important measure to achieve the training goal of application-innovative talents in big data major. There are problems of blindness， one-sided and continuity in the selection of discipline competition for undergraduates. This paper discusses the course system， course content and practical teaching of the talent training of big data majors around the subject competition.
Keywords：Major of big data; Subject competition; Applied undergraduate; Applied innovative talents
随着中国进入新时代发展阶段，我国在职业教育方面的“短板”越来越凸显。