PhDr. Ing. Tomáš Evan, Ph.D.

PhDr. Ing. Tomáš Evan, Ph.D.

Department of Software Engineering

The aim of this thesis is to analyze the fertility rate and its dependence on various trends in Internet or literature searches. Google Trends and Google Ngram are used to analyze the trends. In this thesis, I examine the keywords that I have compiled based on factors that have already been identified by the literature and those that have not been identified as likely by the literature. Each keyword is placed in a category that will be monitored with more attention. The analysis includes an application written in Python using the Streamlit library, which makes it an application that can be accessed on the Internet. The result of the work is an interactive and publicly accessible application that shows the evolution of fertility rates over time in different countries of the world with similarities to internet and literature searches with statistics that can help the user to discover if keyword searches are in relation to fertility rates.

Thesis on DSpace

PhDr. Ing. Tomáš Evan, Ph.D.

Department of Software Engineering

In diploma thesis I analyse the possibilities of long-term investment for ordinary people. My hypothesis is that for the investment goal of an average annual revenue of 5% over a period of 40 years, it is not necessary to select one specific investment product (stocks, gold, real estates, bonds, cryptocurrencies and others) and by thus increase volatility risk, but it is possible to find an investment mix, consisting of several standard investment products, which will achieve such a result. My hypothesis was confirmed.

Thesis on DSpace

PhDr. Ing. Tomáš Evan, Ph.D.

Ing. Dana Vynikarová, Ph.D.

Department of Software Engineering

The aim of this thesis is to create a quiz application for the simulation of the government budget. I analyse suitable technologies for implementation of this application. Subsequently, I design the user interface and database. The result of the thesis is a web application which, based on the answers to the quiz questions, performs a government budget simulation. It is possible to fill in data for the questionnaire, the initial state of the simulation, defining the questions and their answers, including the influence of the answers on the state of the simulation. The main technologies used for implementation are Laravel for the PHP programming language and React for the JavaScript programming language. Bootstrap is used for the design of the user interface. The result of this thesis allows the actual operation of this application free of charge. At the end of the thesis are described the possibilities of extending the application functionalities.

Thesis on DSpace

PhDr. Ing. Tomáš Evan, Ph.D.

Ing. Tomáš Kalvoda, Ph.D.

Department of Applied Mathematics

This thesis deals with the problem of decline of the demographical indicator of fertility (TFR). Firstly, it summarizes existing work concerning known indicators related to TFR. Based on the presented literature, online data sources are selected and new correlations are found between indicators from these sources and TFR. The results are made available in a web-based application. This application also provides an overview and a prediction of the development of TFR in selected European countries. The majority of results are consistent with the presented literature, while new correlations are provided for further analysis.

Thesis on DSpace

PhDr. Ing. Tomáš Evan, Ph.D.

doc. Ing. Robert Pergl, Ph.D.

Department of Software Engineering

The aim of the thesis was to find the strong factors influencing the cumulative fertility using the BI methodology. For this purpose, a data warehouse was designed and created in which the investigated datasets are stored in all the main states that occur during the processing using ETL technologies. These data were then analyzed and evaluated in terms of their impact on the variable under study using a dashboard created for this purpose and then comprehensively using a script created. In order to make this data more accessible to the general public, the analytical dashboard was also published on a website created by me.

Thesis on DSpace