Exploring the Statistics Teaching Model in Logistics Management from Big Data Perspective
In the context of data fusion and intelligent manufacturing,logistics management professionals must possess strong data analysis capabilities to address complex and dynamic engineering practice challenges.Based on the current status of statistics courses within logistics management majors in the context of big data,this article delves into various aspects of teaching reform strategies for statistics courses.These aspects encompass course design,teaching models,differentiated methods,multi-disciplinary integration,among others.Furthermore,the article elucidates the teaching reform strategies that account for both theory and practice.The dual teaching approaches comprehensively employ diverse and multi-stage evaluation methods to assess the effectiveness of instruction.The ultimate aim is to fully leverage the role of statistics courses in shaping logistics management majors and nurturing versatile logistics management professionals equipped with data analysis skills and analytical thinking.
big datalogistics managementstatisticsteaching reform
万方数据
维普
