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- W2899710014 abstract "We consider a problem of undergraduate students that cannot follow the course schedule of their curriculum. For example, suppose there is a course which should be taken in semester 2 and requires each student to pass a course in semester 1. We can see that a student who misses the prerequisite course in semester 1 cannot take this course in semester 2. Therefore, his study plan has to be changed from the curriculum suggestion. In this paper, we present a web application that helps students to plan when they should take each of the remaining courses in their curriculum. To create a good plan, we propose a genetic algorithm that finds and improves plans according to all course conditions, such as prerequisites or opening semesters of each course. Moreover, we also consider total units of each semester, with estimation of each semesters GPA and cumulative GPA, using historical data of each course. We test our algorithm with the Computer Engineering and Informatics program in Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Thailand. The experiment shows that we can find a good plan in approximately 50 generations." @default.
- W2899710014 created "2018-11-16" @default.
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- W2899710014 date "2018-07-01" @default.
- W2899710014 modified "2023-10-18" @default.
- W2899710014 title "A Course Planning Application for Undergraduate Students Using Genetic Algorithm" @default.
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- W2899710014 doi "https://doi.org/10.1109/ict-ispc.2018.8523980" @default.
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