聚类分析统计方法在核心专业课程设置中的应用

Application of Cluster Analysis Statistical Method in the Course Setting of Core Specialty

目的:通过对我校信息工程学院信息管理与信息系统专业学生四年考试课成绩的聚类分析,科学地对该核心专业学科课程设置做出综合评价。方法:继因子分析后,运用聚类分析分别对专业基础课因子和专业课因子中的课程进行聚类,并给出预测重要性排名。结果:聚类分析中预测重要性排名与专业基础课和专业课中的核心课程高度吻合。结论:通过聚类分析可以看出我校信管专业的核心课程的设置合理。

Objective: Through the cluster analysis of the four-year examination results of the students majoring in information management and information system in Information Engineering College of our university, to make a scientific comprehensive evaluation of the curriculum of this core discipline. Methods: Following factor analysis, clustering analysis was applied to classify the courses in the factors of basic courses and specialized courses respectively, and the ranking of predictive importance was given. Result: The ranking of predictive importance in cluster analysis was highly consistent with the core courses in basic courses and specialized courses. Conclusion: Cluster analysis shows that the core curriculum of credit management major in our university is reasonable.