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http://hdl.handle.net/2445/105682
Title: | Data science aplicat a resultats acadèmics per a la millora del pla d’acció tutorial a la Universitat de Barcelona |
Author: | Portell Penadés, Laura |
Director/Tutor: | Puertas i Prats, Eloi |
Keywords: | Dades massives Algorismes computacionals Programari Treballs de fi de grau Visualització (Informàtica) Mineria de dades Rendiment acadèmic Tutoria (Ensenyament) Big data Computer algorithms Computer software Bachelor's theses Information display systems Data mining Academic achievement Tutoring (Teaching) |
Issue Date: | 30-Jun-2016 |
Abstract: | Academic 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. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Eloi Puertas i Prats |
URI: | http://hdl.handle.net/2445/105682 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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memoria.pdf | Memòria | 10.86 MB | Adobe PDF | View/Open |
codi_font.zip | Codi font | 1.23 MB | zip | View/Open |
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