摘要
随着物联网技术在物流管理中的广泛应用,物流行业迫切需要物流管理人才分析物流大数据以提高服务质量。统计学作为数据分析的基础课程之一,课程教学需要适应物流行业的发展需求。文章从教学模式、课程内容和数据分析实践三个方面分析了物流管理专业统计学课程教学现状,并针对当前存在的问题,提出了大数据时代物流管理专业统计学教学的改革对策,以提升物流管理专业统计学的教学质量和学生的数据分析能力,有利于塑造适合大数据时代的物流专业人才。
With the wide application of internet of things technology in logistics management, the logistics industry urgently requires logistics management talents to improve the service quality by analyzing logistics big data. As one of the basic courses of data analysis, statistics teaching needs to meet the development of the logistics industry. This paper analyzes the current situation of statistics teaching in logistics management major from three aspects: Teaching mode, course content and data analysis practice. Then it proposes measures to reform the statistics teaching for logistics management major in the era of big data. The reforming measures aim to improve the teaching quality of statistics in logistics management and students’ data analysis ability, which is conducive to shaping logistics professionals suitable for the era of big data.
作者
楚永杰
苏翀
CHU Yongjie;SU Chong(Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处
《物流科技》
2023年第5期182-184,共3页
Logistics Sci-Tech
基金
南京邮电大学2021年教学改革研究课题项目(JG00121JX108)
南京邮电大学管理学院品牌专业项目(PZ00115004)。
关键词
物流管理专业
统计学教学
大数据
logistics management major
statistics teaching
big data
