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Teacher Creativity to Compose the Content of Pre-School Education
CUŘÍNOVÁ, Magdalena
Annotation My bachelor work is concerned in the children´s creativity. The theory part is mainly focused on the pedagogical creativity where the teacher´s personality is very important because she or he influences her or his behaviour and the approach to the child´s creativity. The practical part shows how to plan the theme complex that is a part of the plan in the class in the nursery school. Then you can find the concrete description of the children´s activity with the special focus on the progress of the children´s creative thinking and the behaviour. The research part finds out if teachers in the nursery schools have the working conditions to apply and to progress the children´s creativity.
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The influence of implementation of DMS in a bank on its business processes
Vejmělek, Vojtěch ; Stanovská, Iva (advisor) ; Cícha, Daniel (referee)
The topic of this thesis is an analysis of the influence of implementation of Document management system (DMS) on a selected process of a specific retail bank. The paper moves from a detailed characteristic of key terms, apart from technological aspects deals with the current legislature, continues on to the current state of the selected process and ends with a proposal of a new process. The thesis is meant for those who are interested in the field of enterprise content management, additionally it can offer motives for thoughts about electronization of documents and how it can be used to better the organization's services.
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Implementation of the Smart Metering Systems in Energetics in Slovakia
Petreová, Adela ; Machek, Ondřej (advisor) ; Tyll, Ladislav (referee)
The goal of the Master´s thesis is to map the actual situation of transformation of power energy sector to smart grid, find answers to some of the major questions concerning the implementation of smart metering systems, evaluate societal and economic costs and benefits, evaluate trends in legislation, compare the situation in Slovakia with other peer countries from the European Union, and create a follow-up recommendations for Slovakia based on this assessment. The thesis includes detailed critical analysis of the CBA, originally created for Slovakia, using benchmarking with countries with a different calculation approach. The used methodology in this work is a research of available resources, qualitative research of case studies, break-down of the CBA, and expert research through interviewing. The outcome is evaluation of economic and societal contributions of smart metering systems and mapping the process and state of the implementation.
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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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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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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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The Evolution of the Global Microchip Market
Srba, Lukáš Martin ; Bolotov, Ilya (advisor) ; Čajka, Radek (referee)
This thesis aims to explain the evolution and transformation of the microchip industry. It focuses on the changes and prediction of the future state including its causes and consequences. The analysis starts on the general description of the market and continues through its subjects ending on relationships between them. This serves as a source of information to the prediction in the final part of the thesis. In the beginning the products, which are taken into consideration in this work (namely CPUs, GPUs and APUs), are described. Following this, there is an analysis of the competition environment that defines a structure of the market upon which further work is based. (Three levels; the manufacturer of photolithographic machines, makers of the chips and their designers and OEM and aftermarket subjects.) The penultimate part defines the barriers to entry to this market and three categories are drawn up: economic, technical and geoeconomic, which are applied to every level of the market. Thus all prerequisites to a successful prediction are satisfied. In the last part of the thesis the prognosis is made and defined, along with its assumptions and limitations. In the concluding part of this work the consequences and results are summarized.
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State - country - nation: The loyalty of Moravian Czechs and Germans
Řepa, Milan
This study traces in parallel the transformation of the collective consciousness and loyalties of the Czech and German populations in Moravia in the 19th century. It focuses on various forms of collective consciousness – provincial patriotism, Austrian state patriotism, Czech and German nationalism. It looks at how they relate to other forms of solidarity or loyalty, such as those based on class, religion, or region and at how their formation was influenced by important events and historical processes, beginning with Enlightenment absolutism, the Napoleonic Wars, the revolutionary years 1848/1849, the evolution of civil society in the 1860s and 1870s, the Austro-Prussian War (1866) and the Franco-Prussian War (1870), and ending with the diversification of political life in the late 19th century.
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Swarm Intelligence
Winklerová, Zdenka ; Šaloun, Petr (referee) ; Škrinárová,, Jarmila (referee) ; Zbořil, František (advisor)
The intention of the dissertation is the applied research of the collective ( group ) ( swarm ) intelligence . To demonstrate the applicability of the collective intelligence, the Particle Swarm Optimization ( PSO ) algorithm has been studied in which the problem of the collective intelligence is transferred to mathematical optimization in which the particle swarm searches for a global optimum within the defined problem space, and the searching is controlled according to the pre-defined objective function which represents the solved problem. A new search strategy has been designed and experimentally tested in which the particles continuously adjust their behaviour according to the characteristics of the problem space, and it has been experimentally discovered how the impact of the objective function representing a solved problem manifests itself in the behaviour of the particles. The results of the experiments with the proposed search strategy have been compared to the results of the experiments with the reference version of the PSO algorithm. Experiments have shown that the classical reference solution, where the only condition is a stable trajectory along which the particle moves in the problem space, and where the influence of a control objective function is ultimately eliminated, may fail, and that the dynamic stability of the trajectory of the particle itself is not an indicator of the searching ability nor the convergence of the algorithm to the true global solution of the solved problem. A search strategy solution has been proposed in which the PSO algorithm regulates its stability by continuous adjustment of the particles behaviour to the characteristics of the problem space. The proposed algorithm influenced the evolution of the searching of the problem space, so that the probability of the successful problem solution increased.
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