Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/105682
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dc.contributor.advisorPuertas i Prats, Eloi-
dc.contributor.authorPortell Penadés, Laura-
dc.date.accessioned2017-01-17T09:31:14Z-
dc.date.available2017-01-17T09:31:14Z-
dc.date.issued2016-06-30-
dc.identifier.urihttp://hdl.handle.net/2445/105682-
dc.descriptionTreballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Eloi Puertas i Pratsca
dc.description.abstractAcademic tutors at universities find themselves without enough tools or material to help their students due to the lack of knowledge of each student’s academic profile. For this reason, we have performed a comprehensive study of student data in order to obtain supplementary material for the tutor. Clusterization algorithms have been used to separate the students into groups to identify general characteristics of the students belonging to a particular cluster. Dropout of each cluster and relationships between groups have been studied as well. A k-NN classifier has been used to create a prediction model which is able to predict in which cluster a student will belong the next academic year. Finally, visualization technics have been used to present the results of the analysis.ca
dc.format.extent100 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isocatca
dc.rightsmemòria: cc-by-nc-sa (c) Laura Portell Penadés, 2016-
dc.rightscodi: GPL (c) Laura Portell Penadés, 2016-
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/es-
dc.rights.urihttp://www.gnu.org/licenses/gpl-3.0.ca.html-
dc.sourceTreballs Finals de Grau (TFG) - Enginyeria Informàtica-
dc.subject.classificationDades massivescat
dc.subject.classificationAlgorismes computacionalscat
dc.subject.classificationProgramaricat
dc.subject.classificationTreballs de fi de graucat
dc.subject.classificationVisualització (Informàtica)ca
dc.subject.classificationMineria de dadesca
dc.subject.classificationRendiment acadèmicca
dc.subject.classificationTutoria (Ensenyament)ca
dc.subject.otherBig dataeng
dc.subject.otherComputer algorithmseng
dc.subject.otherComputer softwareeng
dc.subject.otherBachelor's theseseng
dc.subject.otherInformation display systemseng
dc.subject.otherData miningeng
dc.subject.otherAcademic achievementeng
dc.subject.otherTutoring (Teaching)en
dc.titleData science aplicat a resultats acadèmics per a la millora del pla d’acció tutorial a la Universitat de Barcelonaca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Programari - Treballs de l'alumnat
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

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