基于数据挖掘的电类基础课与专业课成绩相关性实证分析

在高校人才培养方案中,课程设置非常重要,课程结构是否合理会直接影响到人才培养的质量。专业基础课是为学生掌握专业知识、学习科学技术、发展相关能力打下坚实的基础。合理科学设置电类基础课程是一个非常复杂的问题,其中影响之一就是电类基础课对专业知识和技能的支撑程度。本文使用数据挖掘分析方法,以某一专业的学生学习成绩为研究对象,挖掘出电类基础课对其专业课的支撑作用,为教学管理、课程设置及学时安排提供决策信息支持与参考。

The Empirical Analysis of Score Correlation about Electrical Basic Courses and Professional Courses based on Data Mining

In the talent training program of universities, the curriculum is very important, and whether the curriculum structure is reasonable will directly affect the quality of talent training. The professional basic course is to lay a solid foundation for students to master professional knowledge, learn science and technology, and develop relevant capabilities. Reasonable scientific setting of the basic course of electricity is a very complicated problem, one of which is the degree of support for professional knowledge and skills in the basic class of electricity. This paper uses the data mining analysis method to study the academic performance of one major, and explores the supporting role of the basic class of power generation for its professional courses, and provides decision information support and reference for teaching management, curriculum setting and time schedule.