Journal of Education, Technology and Computer Science nr 4(34)2023

URI dla tej Kolekcjihttps://repozytorium.ur.edu.pl/handle/item/10196

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Przeglądanie Journal of Education, Technology and Computer Science nr 4(34)2023 według Autor "Dymora, Paweł"

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  • Obrazek miniatury
    Pozycja
    Comparison of Angular, React, and Vue Technologies in the Process of Creating Web Applications on the User Interface Side
    (The University of Rzeszów Publishing House, 2023-12) Dymora, Paweł; Mazurek, Mirosław; Nycz, Mariusz
    This paper presents a comparative analysis of three programming technologies and their application in building a web application, taking into account the code on the server-side and the user interface side. Three equivalent applications Angular, Vue, and React were analyzed. The needs for web applications are described, the implementation of particular functionalities in all technologies is presented together with the programming of database functionalities. The article is aimed at helping students of computer science faculties to make an informed choice of a framework or library for a specific project, taking into account the differences between these popular solutions.
  • Obrazek miniatury
    Pozycja
    Modeling and Statistical Analysis of Data Breach Problems in Python
    (The University of Rzeszów Publishing House, 2023-12) Dymora, Paweł; Mazurek, Mirosław; Nycz, Mariusz
    The subject of the work is electronic medical record linkage threat analysis and modeling with the use of the submitted data breaches list published by the U.S. Department of Health and Human Services. Multipronged data analysis with the use of statistics utilities and data visualization has been conducted. The model forecasting the number of data breaches based on a time series mathematical model has also been built. The article reviews the tools and techniques used in data security analysis and presents practical examples of modeling and analysis that can be used in practice to improve data protection. It was shown how important it is to protect personal data, especially medical data, and what tools can be used in the educational process of data analytics for students to effect data analysis, trend assessment, and data prediction.