摘要
高校独立开设大数据类课程面临资源要求高、应用数据集稀缺、专业师资匮乏等诸多问题。鉴于此,该文梳理归纳了信管专业大数据实训的校企合作模式与经验,包括:坚持以学生能力培养为出发点,打造扎实的大数据模块课程体系;构建大数据实践教学平台,模拟应用场景并规范流程,锻炼学生解决大数据工程问题的能力;强调校企分工协作、内容持续优化以及效果追踪与过程改进。通过以上举措,保证了大数据技术及应用实训的顺利开展,取得了理想的效果。
The independent big data courses offered by universities face many problems such as high resource requirements, scarcity of applied data sets, and lack of professional teachers. In view of this, this article summarizes the school-enterprise cooperation model and experience of big data training for information management majors, including: adhering to the development of students’ ability as the starting point to build a solid big data module curriculum system, building a big data practice teaching platform and simulation applications scenarios and standardize processes to train students’ ability to solve big data engineering problems, emphasing the division of labor and cooperation between schools and enterprises, continuous optimization of content, and effect tracking and process improvement. The above measures have ensured the smooth development of big data technology and application training, and have achieved ideal results.
作者
王晓敏
类骁
王磊
赵晓永
赵飞
武嘉祎
WANG Xiaomin;LEI Xiao;WANG Lei;ZHAO Xiaoyong;ZHAO Fei;WU Jiayi(School of Information Management,Beijing Information Science&Technology University,Beijing 100192,China;Beijing ADT Data Technologies Co.,Ltd.,Beijing 100080,China)
出处
《实验技术与管理》
CAS
北大核心
2022年第2期129-134,共6页
Experimental Technology and Management
基金
北京市高等教育学会2021年立项课题(YB202122)
北京信息科技大学2021年度教学改革立项项目(2021JGZD06)
教育部人文社会科学研究青年基金项目(20YJC630056)
北京市社会科学基金青年项目(20JJC023)
北京信息科技大学“勤信人才”培育计划(QXTCP C202116)
北京市高校教学改革创新项目:基于PBL+TDPCARES-CDIO指标体系的工程认证形成性评价建设与探索
北京信息科技大学2018年度教学改革立项项目(2018JGZD09)
北京市“一带一路”国家人才培养基地项目(PXM2020-014224-000053)。
关键词
大数据
实训
校企合作
效果追踪
big data
practical training
university-enterprise cooperation
effect tracking
