prikaz prve stranice dokumenta Dubinska analiza podataka vezanih uz edukaciju
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undergraduate thesis
Dubinska analiza podataka vezanih uz edukaciju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:402052
Bakić, Tina
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bakić, T. (2022). Dubinska analiza podataka vezanih uz edukaciju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:402052

Bakić, Tina. "Dubinska analiza podataka vezanih uz edukaciju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:402052

Bakić, Tina. "Dubinska analiza podataka vezanih uz edukaciju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:402052

Bakić, T. (2022). 'Dubinska analiza podataka vezanih uz edukaciju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 06 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:402052

Bakić T. Dubinska analiza podataka vezanih uz edukaciju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 July 06] Available at: https://urn.nsk.hr/urn:nbn:hr:168:402052

T. Bakić, "Dubinska analiza podataka vezanih uz edukaciju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:402052

Metadata
TitleDubinska analiza podataka vezanih uz edukaciju
Title (english)Data mining of education related data
AuthorTina Bakić
MentorMihaela Vranić (mentor)
Committee memberMihaela Vranić (predsjednik povjerenstva)
Committee memberDamir Pintar (član povjerenstva)
Committee memberAna Šarčević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovoga rada dubinska je analiza podataka vezanih uz edukaciju. U radu je predstavljena povijesna i teorijska pozadina područja dubinske analize podataka, istaknute su važne metode te je prikazana provedena analiza nad podacima iz područja edukacije. Podaci analizirani u sklopu ovoga rada, službeni su podaci Fakulteta elektrotehnike i računarstva. Provedeno je više analiza veza između uspješnosti različitih predmeta te su stvorena dva prediktivna modela za uspješnost studenta na matematičkom predmetu.
Abstract (english)
This thesis focuses on the mining and analysis of educational data. The thesis presents the historical and theoretical background of educational data mining, highlights the most important and most common methods in that area, and conducts and presents an analysis of a specific educational dataset. The data analyzed in the scope of this thesis is the official dataset obtained from the Faculty of Electrical Engineering and Computing, University of Zagreb. Several different analyses were conducted as part of this work, including an analysis of the relationship between success for pairs of related courses, and the construction and training of two supervised models used for the prediction of student’s success in mathematical courses.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:402052
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 20:01:46