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基于动态算法的民办高校教学管理优化策略

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伴随信息化教育的到来,高校管理的难度日益增加,传统的管理方法在民办高校中往往伴随着专业性的不足.为解决高校管理上的问题,提出使用动态规划算法来对民办高校的教学管理进行优化.首先,对现有的动态规划算法进行阐述,提出针对原始算法的两轮连续改进方案.其次,使用改进后的算法对高校的教学管理规划进行类型划分和事务合并实验分析.结果表明改进算法具备良好的稳定性,随着数据处理量的增加,算法的效率也呈比例增加,可有效用于高校管理优化.
Optimisation of Teaching Management in Private Universities Based on Dynamic Programming
With the advent of information technology education,the difficulty of university management is increasing day by day.Traditional management methods in private universities often suffer from insufficient professionalism.To solve the problems in university management,research proposes using dynamic programming algorithms to optimize teaching management in private universities.Firstly,the existing dynamic programming algorithms are elaborated,followed by proposing two rounds of continuous improvement schemes for the original algorithm.Finally,the improved algorithm is used for type classification and transaction merging experimental analysis of university teaching management planning.The results indicate that the improved algorithm has good stability,and as the amount of data processing increases,the efficiency of the algorithm also increases proportionally,which can be effectively used for optimizing teaching manage-ment in universities.

dynamic planning algorithmtype divisiontransaction merginguniversity teaching management optimisation

周飞

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安徽文达信息工程学院 计算机工程学院,安徽 合肥 231201

动态规划算法 类型划分 事务合并 高校教学管理优化

2024

贵阳学院学报(自然科学版)
贵阳学院

贵阳学院学报(自然科学版)

影响因子:0.294
ISSN:1673-6125
年,卷(期):2024.19(3)