Design and Development of College Online Course Selection System Based on Big Data
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.
big dataApache Hadooponline course selection system
NETL
NSTL
万方数据
