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Course Scheduler and Recommendation System for Students

dc.contributor.authorUslu, Suleyman
dc.contributor.authorOzturan, Can
dc.contributor.authorUslu, Mehmet Fatih
dc.date.accessioned2026-06-27T13:48:48Z
dc.date.issued2016
dc.description.abstractEvery semester, university students need to decide their course programs, and as the number of course offerings increase, it becomes challenge to form a schedule for the semester courses to be taken. In addition, students might have difficulty in finding courses that can match their schedules and course preferences. In order to address these problems, we build Mecanin, an online platform for Bogazici University students that provides an optimum schedule and course recommendation tools. In this paper, we propose an integer programming model to optimize course programs and also a recommendation algorithm to suggest courses to students. Both algorithms are tested and compared, and the results are presented.en
dc.identifier.eissn2472-8586
dc.identifier.endpage773
dc.identifier.isbn978-1-5090-1841-3
dc.identifier.issn2378-8232
dc.identifier.startpage768
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55075
dc.identifier.wos000432161300152
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference10th IEEE International Conference on Application of Information and Communication Technologies (AICT)
dc.relation.ispartof2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT)
dc.subjectinteger programming
dc.subjectcollaborative filtering
dc.subjectcourse recommendation
dc.subjectINTEGER
dc.subjectTIMETABLES
dc.subjectALGORITHM
dc.subjectComputer Science
dc.titleCourse Scheduler and Recommendation System for Students
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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