Thesis Details

Modul pro sledování znalostí uživatelů pro Kanboard.org

Bachelor's Thesis Student: Válka Jan Academic Year: 2018/2019 Supervisor: Ščuglík František, Ing., Ph.D.
English title
Skill Matrix Plugin for Kanboard.org
Language
Czech
Abstract

The goal of this thesis is to create a plugin for monitoring knowledge of existing Kanboard users. The main goal of this plugin is to evaluate employees' abilities and assign them labels. Based on these attributes, it's possible to filter individual users. In this thesis I have created a tool that will facilitate the process of deciding which employee to assign to either new or current project.

Keywords

Kanboard, Kanboard plugin, PHP, SQLite, Web technologies, Web application, Web server,Information system, Databases, User interface

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
12 June 2019
Reviewer
Bartík Vladimír, Ing., Ph.D.
Committee
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
VÁLKA, Jan. Modul pro sledování znalostí uživatelů pro Kanboard.org. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-12. Supervised by Ščuglík František. Available from: https://www.fit.vut.cz/study/thesis/22174/
BibTeX 
@bachelorsthesis{FITBT22174,
    author = "Jan V\'{a}lka",
    type = "Bachelor's thesis",
    title = "Modul pro sledov\'{a}n\'{i} znalost\'{i} u\v{z}ivatel\r{u} pro Kanboard.org",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22174/"
}

Theses

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