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Secondary school analytic geometry with internet
Končel, Jan ; Voráčová, Šárka (referee) ; Robová, Jarmila (advisor)
The first part of the Thesis looks at, examins and evaluates existing czech and english web pages dedicated to coordinate geometry studies. Based on this research, in the second part new web pages are created, which focus on coordinate geometry studies of secondary school level. They try to overlook any mistakes found and on the contrary look for inspiration in what was valuable and interesting. The text covers the following topics: Cartesian coordinates, vectors, coordinate geometry in 2D, coordinate geometry in 3D, conic sections and sphere. The web pages above all contain definitions, statements and their proofs. All is supported by tens of schematic pictures, cross references, index of definitions and dynamic Java applets. Students can test their knowledge directly in Java applets, through selection of solved exercises or by using generated tests.
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Partial k-trees on surfaces
Vaner, Michal ; Valtr, Pavel (referee) ; Kratochvíl, Jan (advisor)
This work is solving the following problem: A graph G, a partial k-tree embeddable into some surface, is given. Is it possible to complete it to a k-tree in such a way that it is still embeddable? We show that this is always possible for small k (· 2) on any surface. On the contrary, for k ¸ 4, one can find a partial k-tree that is not possible to complete in this way, and for k large enough, there is no partial k-tree that could be completed. The case k = 3 makes the border case, because there is an infinite list of complete 3-trees embeddable into any surface, but not every 3-tree is embeddable. It is known that every partial 3-tree can be completed in the plane. To keep the thesis self-contained we present here the so far unpublished proof of prof. Kratochvíl and prof. Thomas. We extend this result to the projective plane. Other surfaces are still unexplored.
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Ito formula and its applications
Till, Alexander ; Haman, Jiří (advisor) ; Maslowski, Bohdan (referee)
Title: Itô formula and its applications Author: Alexander Till Department: Department of Probability and Mathematical Statistics Supervisor: Mgr. Jiří Haman Supervisor's e-mail address: j.haman@seznam.cz Abstract: The bachelor thesis contains basis and elementary findings of stochastic analysis. It includes definition and properties of stochastic integral with Wiener process as an integrator, definition of stochastic integral with Itô process as an integrator, Itô formula for functions of time and Wiener process, Itô formula for functions of time and Itô process. These conclusions are used to solve certain examples. Keywords: Wiener process, Stochastic integral, Itô formula 1
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Organization and management of four-star hotel
Vlachová, Alena ; Indrová, Jarmila (advisor) ; Bakos, Tomáš (referee)
Hotel business rapidly expands in the Czech Republic over the last two decades. One of the main reasons is the interest of foreign customers to discover previously unknown beauty of our country. In recent years, however, the hotel business deals with a difficult situation because of the economic crisis. Bachelor thesis deals with evaluation of the organization and management of the selected accommodation facility, focusing primarily on its running during the current economic crisis. Selected accommodation facility is Olympic Hotel in Prague-Karlin. The main objective of this work is to analyze the organization and management of Olympic Hotel based on theoretical knowledge of field literature and the practical experience obtained during the working experience in the hotel. Part of the analysis is also a general assessment of the current situation in the tourism market. According to the outputs of the analysis, we worked out specific suggestions leading to an improvement of running of the hotel. This suggestions can solve slight shortcomings of successful organization and management of Olympik Hotel.
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Calcium and Calcitonin in the Treatment of Osteoporosis
Drdlová, Marcela ; Vlček, Jiří (advisor) ; Kučera, Zdeněk (referee)
V. Závěr Hlavní náplň práce současných lékárníků tvoří výdejní činnost. Je nezbytné, aby si pacienti kromě léčivého přípravku odnášeli nejen dostatečné, odborné, srozumitelně podané informace o svém léku, ale také přesvědčení o možnosti úspěchu léčby a vlastní odhodlání léčit se. Aby farmaceuti pozitivně působili v tomto smyslu, je důležité, aby oni sami cítili určitou psychickou pohodu a pracovní spokojenost. Proto se tato diplomová práce zabývala faktory, které kladně i negativně ovlivňují práci lékárníků a farmaceutických laborantů. Podařilo se nám prokázat, že z hlediska uspokojení v práci a duševní rovnováhy jsou důležité zejména dobré vztahy na pracovišti i s pacienty, možnost pomoci jim v těžkých chvílích, které nemoc může přinést. Naopak psychické napětí a stres přináší konflikty na pracovišti a především s pacienty, velkým problémem je nedostatek času věnovat se důsledně jednotlivým pacientům a dalším činnostem. Podnětné by mohly být závěry vyplývající z hodnocení připravenosti absolventů farmacie pro výkon povolání. Velký počet lékárníků oceňuje dobré teoretické znalosti, z nichž některé jsou ovšem pro praxi nepoužitelné. Naopak vidí nedostatky v praktické přípravě, která by měla být více zaměřena na konkrétní situace a problémy v lékárně, čímž by se usnadnil nástup čerstvých absolventů do...
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Practical Use of Data Mining Technologies
Uhlíř, Radek ; Pour, Jan (advisor) ; Zajíc, Ján (referee)
This bachelor's thesis maps available technologies of extracting knowledge from the raw data. These methods are globally known as Data Mining. Some of these methods are implemented in the second part - proof of concept of Data mining support in sales department. The aim of this work is to identify and implement suitable technologies for answering analytical questions and getting knowledge from data owned by business companies. It should help to improve and optimize business processes and resource utilization. Customer segmentation support and association rules identification are also expected. In the second part are identified possible weaknesses and problems during the process of implementation and deployment of these systems. The work should propose optimal methods of solving these problems or at least modifications in process of implementation to eliminate some vulnerability. The work is divided into two parts -- first is theoretical and maps available methods and second part is about implementation of project in pharmaceutical company. This solution was built using Microsoft SQL Server platform.
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Decision Trees and Knowledge Extraction
Vitinger, Jiří ; Mrázová, Iveta (advisor) ; Jiroutek, Pavel (referee)
The goal of data mining is to extract knowledge, dependencies and rules from data sets. Many complex methods were developed to solve it. This thesis presents some of the most important methods, which include the decision trees with algorithms ID3, C4.5 and CART, neural networks like multilayer neural networks with the backpropagation algorithm, RBF networks, Kohonens maps and some modifications of LVQ method. There are also described some clustering methods like hierarchical clustering, QT clustering, kmeans method and its fuzzy modification. The work also includes data pre-processing techniques, which are very important in order to obtain better results of data mining process. Experimental part of the work compares the presented methods by means of the results of many tests on real-world data sets. The results can be used as a guide to choose an appropriate method and its parameters for some given data set. In this work there is presented author's implementation of the decision trees C4.5 and CART in C#. In the application it is possible to watch details of algorithms work. The application provides an API enabling an implementation of new algorithms.
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Practical aplication of diet problem
Harák, Tomáš ; Kalčevová, Jana (advisor) ; Šmídová, Milada (referee)
I have decided to try solve the question if it is possible to eat healthy at McDonald's fast-foods. I will try to do this with my skills and knowledge of linear programming. I will try to find optimal solution by minimalizing total cost of food. If I don't find the solution, I will try to answer "Why?"
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Feed-forward neural networks and their application in data mining
Civín, Lukáš ; Štanclová, Jana (referee) ; Mrázová, Iveta (advisor)
The goal of data mining is to solve various problems dealing with knowledge extraction from huge amounts of real-world data, the quality of which might be disputable. Neural networks can help with the solution due to their generalization capabilities. While working on data mining projects, we have essentially the following two objectives in real-world applications of feed-forward neural networks. To obtain applicable results, it is crucial to provide the networks with well-prepared data. However, it is equally important to choose the right training strategy for the networks themselves - including network architecture, parameter settings or the training algorithm. One of the most important ideas behind these steps is namely to prevent "over-training". The final network should recall unknown examples as well as possible. There are plenty of techniques with different approaches to the solution. It is possible to modify the data, these comprises modifying the range of the data or its dimension, adding noise to the data, etc. Yet another way is the modification of the neural network by structural learning with forgetting, weight decay or early stopping. These techniques are analyzes both theoretically and experimentally in this thesis. With regard to the results achieved in a number of experimental tests we have...
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