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An elective course suggestion system developed in computer engineering department using fuzzy logic

机译:计算机工程系采用模糊逻辑开发的选修课程建议系统

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Besides required courses which are compulsory for each student to be taken, universities also offer elective courses chosen by the students themselves. In their undergraduate study, since students are not guided about the elective courses, they lack information about the description and content of the course and generally fail to take the appropriate ones for their course of study. As a solution, using the knowledge of the previous required courses taken by the student it is possible to guide the student about elective courses appropriate for him/her. In this study, information from the transcripts of students are analyzed, and using this information a relationship is conducted between the required courses and the elective courses taken previously by the student. Rules are extracted by the help of data mining and an elective course suggestion system is developed using fuzzy logic. Successful results are obtained from the tests; it is observed that the students successful from the required courses are also successful in the related elective ones.
机译:除了每个学生都必须修读的必修课外,大学还提供由学生自己选择的选修课。在本科学习中,由于没有为学生提供有关选修课程的指导,因此他们缺乏有关课程描述和内容的信息,并且通常无法选择适合他们的学习课程。作为解决方案,利用学生先前所学必修课程的知识,可以指导学生选择适合自己的选修课程。在这项研究中,分析了学生成绩单中的信息,并使用此信息在必修课程和学生先前修读的选修课程之间进行了关联。借助数据挖掘来提取规则,并使用模糊逻辑开发选修课程建议系统。从测试中获得成功的结果;可以看出,成功完成必修课程的学生在相关选修课程中也取得了成功。

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