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Intelligent course recommendation system: An artificial neural network approach

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dc.contributor.advisor Dr. Paul Janecek (Chairperson) en_US
dc.contributor.advisor Prof. Peter F. Haddawy (Member) en_US
dc.contributor.advisor Dr. Sumanta Guha (Member) en_US
dc.contributor.author Cai Hui en_US
dc.date.accessioned 2015-01-12T10:45:43Z
dc.date.available 2015-01-12T10:45:43Z
dc.date.issued 2007 en_US
dc.identifier.other AIT Thesis no.IM-07-03 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/593
dc.description 76 p. en_US
dc.description.abstract Academic advising is always a time-consuming process and this process also highly requires the knowledge of the advisors. This thesis used artificial neural network to identify the factors which impact the course performance of the student and thus gave a guideline to the students and advisors for course selection. An artificial neural network model is built in this thesis. It preserves the knowledge of choosing the suitable courses in terms of course performance. And a web-based course recommendation system embedded with the neural network model is developed to assist the advising process to be more efficient. en_US
dc.description.sponsorship China Scholarship Council en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Artificial neural network en_US
dc.subject Data mining en_US
dc.subject Corresponding techniques en_US
dc.title Intelligent course recommendation system: An artificial neural network approach en_US
dc.type Thesis en_US


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