基于大数据的高校网上选课系统设计与开发

Design and Development of College Online Course Selection System Based on Big Data

随着大数据时代的到来,传统的高校选课系统面临着处理海量数据和提供个性化选课建议的挑战。为解决这一问题,本研究设计并开发基于Apache Hadoop的高校网上选课系统。该系统包含3个主要模块:数据处理模块、选课逻辑模块和用户交互模块。数据处理模块利用Hadoop进行大数据的采集、清洗和分析,为选课算法提供支持。选课逻辑模块通过高效算法确保选课的公平性和优化课程分配。用户交互模块为学生、教师和管理员提供了友好的操作界面。实验结果表明,该系统不仅在处理速度上显著优于传统选课系统,而且在课程分配效率和用户满意度方面也有显著提升。

With the advent of the big data era,traditional university course selection systems face the challenge of processing massive amounts of data and providing personalized course selection suggestions.To address this issue,this study designs and develops an online course selection system for universities based on Apache Hadoop.The system consists of three main modules:data processing,course selection logic,and user interaction.The data processing module utilizes Hadoop for data collection,cleaning,and analysis,supporting the course selection algorithm.The course selection logic module ensures fairness and optimized course allocation through efficient algorithms.The user interaction module offers a friendly interface for students,teachers,and administrators.Experimental results indicate that this system significantly outperforms traditional course selection systems in processing speed and shows considerable improvement in course allocation efficiency and user satisfaction.