摘要
大数据与商业经济活动日趋紧密地融合对经济管理类本科生定量分析能力的培养提出了全新的挑战,凸显在经济管理类本科教学中开设商业数据分析与挖掘课程的必要性。结合经济管理类本科生的知识结构特点,文章提出商业数据分析与挖掘课程的课程目标与教学内容设置的指导原则。基于此,文章从教学模块设置、课程教学组织形式等方面系统探讨搭建以Python生态环境为基础的课程建设体系,以期提升经济管理类本科生的商业数据建模能力及对实际商业问题的决策能力。
The increasing integration between the big data and business economic activities has presented brand new challenges for cultivating the quantitative analytical capabilities of the undergraduates in economics and management.These challenges have highlighted the necessity of setting up the course of Business Data Analytics and Mining in the undergraduate teaching of economics and management.Considering the knowledge structure of the undergraduates in economics and management,this paper proposes the curriculum objectives and the guiding principles of setting teaching contents for the course of Business Data Analytics and Mining.Then,this paper systematically discusses the construction system of the course based on the ecological environment of Python from the setting of teaching modules and the teaching organization form,with the hope of improving the undergraduates'capabilities in business data modeling and decision making of practical business problems.
作者
李岩
牟博佼
LI Yan;MOU Bojiao
出处
《高教学刊》
2021年第31期25-29,共5页
Journal of Higher Education
基金
中国矿业大学(北京)研讨性在线课程教改项目“《商业数据分析与挖掘》在线课程建设研究”(编号:J180502)
中国矿业大学(北京)“心桥工程”项目“能源大数据背景下管理专业本科生数据分析与挖掘在线教学改革”(编号:KDTZ2020XQ08)
中国地质大学(北京)(中央高校基本科研业务费)“基于有限理性假设的订货行为研究”(编号:590121047)。
关键词
商业数据分析与挖掘
Python生态环境
教学模式设计
课程建设
混合教学
Business Data Analytics and Mining
ecological environment of Python
teaching model design
curriculum construction
blending learning
