<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Collaborative Course Assignment Problem to Minimize Unserved Classes and Optimize Education Quality</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/L8ES0C</dcterms:identifier><dcterms:creator>Purba Daru Kusuma</dcterms:creator><dcterms:creator>Ratna Astuti Nugrahaeni</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2022-07-14</dcterms:issued><dcterms:modified>2022-07-14T12:53:13Z</dcterms:modified><dcterms:description>This work proposes a collaborative course assignment model among universities. It is different from existing studies in educational assignment problems or course timetabling, where the scope is only within the institution or department. In this work, the system consists of several universities.</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:isReferencedBy>P. D. Kusuma and R. A. Nugrahaeni, "Collaborative Course Assignment Problem to Minimize Unserved Classes and Optimize Education Quality", International Journal of Advanced Computer Science and Applications, 13(4), 177-185, 2022.</dcterms:isReferencedBy><dcterms:contributor>DARU KUSUMA, PURBA</dcterms:contributor><dcterms:dateSubmitted>2022-07-14</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>