Thesis Details

Modul pro klasifikaci výsledků v rámci e-learningového systému

Master's Thesis Student: Kočvara Jakub Academic Year: 2016/2017 Supervisor: Bartík Vladimír, Ing., Ph.D.
English title
A Module for Classification of Results in an e-Learning System
Language
Czech
Abstract

In this thesis we try using machine learning techniques to predict final grade of a student in a learning management system on the basis of his behavior during the semester. The aim is to determine the optimal technology for the extraction, treatment and machine learning on data. The whole system would then be implemented as a module that we will be able to plug in the existing system.

Keywords

Big data, data mining, machine learning, classification, prediction, neural networks, database systems, data warehouse, information system.

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology, Field of Study Information Technology Security
Files
Status
defended, grade A
Date
21 June 2017
Reviewer
Burget Radek, doc. Ing., Ph.D.
Committee
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Zeman Václav, doc. Ing., Ph.D. (UTKO FEEC BUT), člen
Citation
KOČVARA, Jakub. Modul pro klasifikaci výsledků v rámci e-learningového systému. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-21. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/19978/
BibTeX 
@mastersthesis{FITMT19978,
    author = "Jakub Ko\v{c}vara",
    type = "Master's thesis",
    title = "Modul pro klasifikaci v\'{y}sledk\r{u} v r\'{a}mci e-learningov\'{e}ho syst\'{e}mu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19978/"
}

Theses

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