Please use this identifier to cite or link to this item: 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: Puertas i Prats, Eloi
Keywords: Dades massives
Algorismes computacionals
Programari
Tesis
Visualització (Informàtica)
Mineria de dades
Rendiment acadèmic
Big data
Computer algorithms
Computer software
Theses
Information display systems
Data mining
Academic achievement
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

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