Ciència de les dades aplicada a resultats acadèmics: perfil d'estudiants i predicció de notes

dc.contributor.advisorIgual Muñoz, Laura
dc.contributor.authorMoreno Liceras, Xavier
dc.date.accessioned2015-10-14T08:27:19Z
dc.date.available2015-10-14T08:27:19Z
dc.date.issued2015-06-27
dc.descriptionTreballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2015, Director: Laura Igual Muñozca
dc.description.abstractThis paper is part of an innovative educational project. Its main aim is to provide a support system for teachers, designed to help them when creating any student’s profile. In order to create this intelligent system for teachers, data from Mathematics Faculty has been retrieved and analysed. This analysis focuses on student’s profiles and score predictions. The profile analysis is bases on previous years grades as well as an average of how many students abandon their studies. On a side note, it develops also a score and grade prediction as well as a ranking of subjects, listed by level of difficulty depending on the student.ca
dc.format.extent65 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/67262
dc.language.isocatca
dc.rightsmemòria: cc-by-nc-sa (c) Xavier Moreno Liceras, 2015
dc.rightscodi: GPL (c) Xavier Moreno Liceras, 2015
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
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.classificationMineria de dadescat
dc.subject.classificationRendiment acadèmiccat
dc.subject.classificationProgramaricat
dc.subject.classificationTreballs de fi de graucat
dc.subject.classificationAprenentatge automàticca
dc.subject.otherData miningeng
dc.subject.otherAcademic achievementeng
dc.subject.otherComputer softwareeng
dc.subject.otherBachelor's theseseng
dc.subject.otherMachine learningeng
dc.titleCiència de les dades aplicada a resultats acadèmics: perfil d'estudiants i predicció de notesca
dc.typeinfo:eu-repo/semantics/bachelorThesisca

Fitxers

Paquet original

Mostrant 1 - 2 de 2
Carregant...
Miniatura
Nom:
codi_font.zip
Mida:
3.27 MB
Format:
ZIP file
Descripció:
Codi font
Carregant...
Miniatura
Nom:
memoria.pdf
Mida:
1.18 MB
Format:
Adobe Portable Document Format
Descripció:
Memòria