摘 要：根据教育部十三五规划纲要文件，各高校需要重新制定未来五年发展计划以适应高校信息化的要求。因此，需要利用大数据手段，深入探讨高校教学方法，提高教学质量。当前，大数据技术的应用场景逐渐运用在教学管理中，其中，全面调整课程结构，优化各专业当前教学课程的设定，分析课程相关性和联系性是高校提高教学质量，实现教学课程层次化中最为迫切需要解决的问题。为了解高校开设课程的相关性，改进教学质量，拟利用Apriori 优化算法和大规模并行处理技术对学生成绩进行课程相关性分析。
关键词：大规模并行处理；Apriori 优化算法；学生成绩；课程相关性
中图分类号：G642；TP311.13-4 文献标识码：A 文章编号：2096-4706（2019）03-0076-03
Research on Curriculum Relevance Analysis Based on Big Data Technology
ZHOU Yongta
（Guangdong Nanhua Vocational College of Industry and Commerence，Educational Technology and Information Center，Guangzhou 510507，China）
Abstract：According to the 13th Five-Year Plan outline document of the Ministry of Education，colleges and universities need to redesign their development plans for the next five years to meet the requirements of University informatization. Therefore，it is necessary to make use of big data to probe into the teaching methods in Colleges and universities in order to improve the teaching quality. At present，the application scenario of big data technology is gradually applied in teaching management. Among them，adjusting thecurriculum structure comprehensively，optimizing the current curriculum settings of various specialties，and analyzing the relevance of the curriculum are the most urgent problems to be solved in order to improve the teaching quality and realize the hierarchy of the teaching curriculum in colleges and universities. In order to understand the relevance of courses offered in colleges and universities and improve the quality of teaching，this paper intends to use Apriori optimization algorithm and large-scale parallel processing technology to analyze the curriculum relevance of students’achievements.
Keywords：large-scale parallel processing；Apriori optimization algorithm；student performance；curriculum relevance
参考文献：
[1] 廖大强，邹杜，印鉴. 一种基于优先级的网格调度算法 [J].计算机工程，2014，40（10）：11-16.
[2] 廖大强. 面向多目标的云计算资源调度算法 [J]. 计算机系统应用，2016，25（2）：180-189.
作者简介：周永塔（1981.12-），男，汉族，广东汕尾人， 本科，硕士，信息系统项目管理师，研究方向：大数据分析。