基于关联度分析的信号处理课群研究  

A Probe into Signal Processing Curriculum Groups Based on Curriculum Correlation Analysis

作　　者：王海青[1] 钱玲[1] 谷亚林[1] WANG Haiqing;QIAN Ling;GU Yalin(School of Electronic Engineering and Photoelectric Technology, Nanjing University of Technology, Nanjing, Jiangsu, 210094)

机构地区：[1]南京理工大学电子工程与光电技术学院

出　　处：《南京理工大学学报（社会科学版）》2019年第6期88-92,共5页Journal of Nanjing University of Science and Technology：Social Sciences

基　　金：江苏省高等教育教学改革研究课题“大数据驱动的电子信息类人才个性化培养体系研究”(项目编号:2017JSJG115);教育部产学合作协同育人项目“基于课程关联度分析的信号处理课群建设及课程体系改革研究”(项目编号:201801238010)

摘　　要：信号处理课群是电子信息类专业的核心主干课程,本文通过数据挖掘技术,对该课群课程和前导、后续课程进行了关联度研究,深入分析课程间知识点的内在联系和递进关系,并据此探讨了课群分层次教学模型的建设方案和具体实施办法,为电子信息类专业的教学改革提供了基于课程关联度分析的新思路。Signal processing curriculum groups are key to electronic information majors. In this paper, data collection and analysis are employed to investigate the relationship between signal processing course groups and their preliminary and follow-up courses. It makes an in-depth analysis to the internal and progressive relationships of knowledge points between different courses. A hierarchical course group teaching model is proposed for course construction schemes and concrete implementation methods. This provides a novel approach to the education reform of electronic information majors from the perspective of curriculum correlations.

关 键 词：关联度 信号处理课群 分层次教学 数据挖掘 

分 类 号：G423[文化科学—课程与教学论]