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Comparison of the czech universities' websites
Široká, Lenka ; Kubešová, Vlasta (advisor) ; Toman, Prokop (referee)
Tématem práce je srovnání webových stránek českých vysokých škol. Její hlavní část tvoří jednotlivé analýzy a konečné srovnání oficiálních stránek dvou předních českých vysokých škol. Srovnání je prováděno na základě tří základních kritérií, z nichž jedno má ještě další tři kategorie. Daná kritéria jsou doplněna o váhy, které vyjadřují jejich důležitost. Nejsou porovnávány technické aspekty stránek, analýza je zaměřena na běžného uživatele a jeho základní požadavky. U nalezených nedostatků je popsán návrh na jejich řešení. V samotném závěru je provedeno testování na třech skupinách uživatelů. Ti jsou vybráni tak, aby představovali co nejreprezentativnější vzorek všech možných návštěvníků stránek vysokých škol.
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The Macroeconomic Impacts of the Selected Oil Shocks in the United States of America
Šikulová, Markéta ; Johnson, Zdenka (advisor) ; Tajovský, Ladislav (referee)
The aim of this study is to analyze macroeconomic impacts of four selected oil shocks on the United States economy and their subsequent comparison. The first part of this study deals with the theoretical background of supply shock, its influence on the economy, and the possible responses of economic policy. Furthermore, in the first part I focus on the historical events that led to the oil crisis, specifically on the OPEC oil embargo imposed on the United States, production cuts caused by the Iranian revolution, Iran-Iraq War and Persian Gulf War and on the demand as well as the supply factors that led to the oil shock of 2007-2008. The second part of this study presents the specific impacts of four selected oil shocks on the US economy and their comparison. Based on the findings, it was possible to confirm the hypothesis saying that past oil shocks, especially those that took place in the 1970's, had more negative impacts on the United States economy in comparison with those that happened more recently. In other words, that the effects of changes in oil prices have lessened over time. There are many reasons of this moderation, but the most important ones include more effective monetary policy response, the decrease in wage rigidities, and more recently also the decline of United States dependency on imported oil.
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Web Application Development with Spring Framework
Nizamov, Kirill ; Pecinovský, Rudolf (advisor) ; Šlajchrt, Zbyněk (referee)
The thesis is concerned with a comparison between a Java framework called Spring and Grails, Zend, Nette, NodeJS, Play, Symfony, OpenXava frameworks described in the theses of Odehnal [1], Kočárek [2], Kadlec [3], Dočkal [4], Šimon [5]. The thesis consists of two parts. The theoretical part introduces the Spring ecosystem and its individual modules to the reader. This part also outlines trends and estimates Spring position and popularity among other Java frameworks. The practical part focuses on web application development based on the criteria defined in the Odehnal's thesis [1]. The sample application shows the style of development in the Spring framework and its functionality and capabilities. Based on the gained experience during the sample application development, Spring is next compared to the other frameworks mentioned earlier and included into the previous comparison. The comparison criteria are specified in the Odehnal's thesis [1] and consist of 4 areas. First of all, there is a basic framework differences comparison. Next, there is an architecture comparison. The third area involves a comparison of work with the framework which also contains both objective criteria and personal estimation. The last part is dedicated to a comparison related to framework support, available literature and overall popularity. The result of this thesis is a comparison of 8 frameworks including the created sample application, which should help the readers when selecting one of the them and should make it easier to orientate in the world of web frameworks.
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Technological Foresight: Analysis of Potentially Disruptive Future Technologies in Banking
Dunovský, Tomáš ; Jiřinová, Kateřina (advisor) ; Žďára, Tomáš (referee)
This Master's Thesis is focused on technological foresight in the banking industry in Europe. It includes consecutive two parts. The first one is theoretical and focuses on defining the terms necessary for the development of technological foresight, stated criteria, triggers and terms necessary for the development of analysis of potential technological problems and their solutions. The second part is practical and it includes the technological foresight, analysis of trends that will disrupt banking and introduce a vision of personal banking product of the future. A comparison of product vision to current trends and if those can be considered disruptive follow this part. The last part of the thesis includes diffusion criteria of innovation as according to the Rogers's Model, a set of triggers after which the defined investment fund can consider an investment into technology, and an analysis of potential technological issues with proposed solutions.
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Optimization of the process of recruitment and selection of employees
Doxanská, Kateřina ; Legnerová, Kateřina (advisor) ; Němec, Otakar (referee)
The aim of the thesis is based on the comparison and evaluation of the selection process and recruitment in three selected companies find the optimum process. The paper compares these HR processes with IT developer JetBrains s.r.o., a pharmaceutical company Shire Czech s.r.o. and company providing services in the field of facility management. The thesis is divided into four chapters. The first chapter is devoted to basic theoretical knowledge concerning the chosen topic. In the second chapter describes the process of recruitment and selection of employees in individual companies. The third chapter contains a comparison of selected companies, their processes and are given recommendations for individual companies, which will help improve these processes. The fourth chapter is devoted to a number of possibilities to improve individual aforementioned processes to be more efficient and lead to optimal process of recruitment and selection of employees.
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Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.
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Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.
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Aspects of the virtualization of higher education and its comparison in the CZ and US
Dlauhá, Dominika ; Šedivá, Zuzana (advisor) ; Pour, Jan (referee)
The topic of this thesis is the evolution of online higher education in the CZ and US, from its beginnings to its current state. Emphasis is placed on describing MOOCs and virtualization in education, ranging from technological, pedagogical and didactic aspects to legislature and finance. A survey was conducted to determine the interest in online courses at the University of Economics, Prague and experience with online learning, resulting in an outline of the future development in this area.
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Evaluation of chat bots
Hazdra, Jan ; Sigmund, Tomáš (advisor) ; Čermák, Radim (referee)
This thesis deals with the evaluation of theability of machines to imitate human behavior. Presents a brief history of the development on the field of artificial intelligence and intelligent machines, specifically chat botsand describes their evolution throughout the 20th century. It describes the most important features and building blocks of chat bots, including the most widely used programming languages for creating them.It also describes the theory of A. Turing, the test and the imitation game, on which is based methodology for evaluating chat bots. Then it also examines the criticism of the Turing's test by J. R. Searle's chinese room argument that is used for its better understanding and finding its boundaries. The work also describes H. Dreyfus's assumptions, which led to optimism in the late 90s in development in artificial intelligence and limits of artificial intelligence, on which he pointed out. The main objective is the metodology proposed in the second part, which is used for comparing selected chat bots and then used for their evaluation. Overall evaluation consists of evaluations in the sub-categories in which will be individual chat bots scored. The methodology is based on the Turing test, which slightly modifies, but also extends thanks to the ideas of other authors.
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Comparison of Business Intelligence implementation using open source solutions for middle size companies
Schmidt, Róbert ; Maryška, Miloš (advisor) ; Sládek, Pavel (referee)
The main goal of master thesis is to analyze and propose possible low cost Business Intelligence solution with open source technologies and comparison of available tools for implementation in middle size company. We compare Pentaho and Jaspersoft tools implemented on local hardware and cloud environment with Microsoft Azure services. The theoretical part focuses mainly on understanding the business intelligence and its architecture, because architecture is an important part of the work. Actual tools are designed as stand alone modules for specific activities in the business intelligence lifecycle. Low cost tools are often connected with open source technologies and cloud computing. This part of the work contains explanation of these terms and their advantages and disadvantages for our chosen target group of companies. The analytical part includes defined parameters by which it is conducted analysis of tools and their comparison. Business Intelligence solutions are divided according to arcitectural layers. The evaluation criteria are divided into financial, technical and user category. In conclusion, chosen tools are compared and evaluated. The main contribution of this thesis is comparison of open source business intelligence tools for implementation in middle size company. According to the EU directive, middle size company does not exceed 250 employees or profit is less than 50 million euros. The reader can compare the different solutions and their pitfalls or shortcomings that could be critical for the implementation.
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