To analyze the problems of the current institute. NET platform course selection system: the current course selection system uses the algorithms of the first come the first service, a large number of students to select courses will make the server load increase, the result will lead to denial service. Analyzing stratified volunteer, based on neural network characteristics and college course selection system its own characteristics, a dynamic real-time probabilistic algorithm solving a class selection lottery fairness issues is proposed. The course selection system platform uses J2EE Struts framework and Spring technolosy, which uses the structure of MVC not only to achieve the function module and the display module separation, but also to increase application scalability, portability and reusability of components. Object-oriented analysis with UML and modeling ideas optimizes the elective systern, enhances the efficiency of system operation, and achieves good elective management functions.%分析当前学院的.NET平台的选修课系统存在的问题:选课系统采用先到先服务的算法,当学生大量选课时会导致服务器负载加重,产生拒绝服务的现象.在分析多志愿分级处理算法、基于神经网络选课系统的特点和学院自身特点的基础上,提出以动态概率实时抽签算法解决学生选课公平性问题,选课系统采用J2EE平台的Struts框架和Spring技术,这种MVC系统结构的采用不仅实现功能模块和显示模块的分离,同时它还提高应用系统的可扩展性、可移植性和组件的可复用性.采用UML面向对象分析与建模的思想,实现本校选课系统的优化,提升系统运行的效率,并实现良好的选课管理的功能.
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