The thesis deals with the general educational program, the teaching methods, the group work and an evaluation. It also includes a description of the methodology and survey results of a public inquiry, which aimed to find out how students 6th grade of primary school are seen in the group work. The effort was made to increase the activity of the students to adopt an appropriate leadership lesson and to achieve a better understanding of the curriculum in social studies.

Increasingly better living and working conditions, higher quality healthcare and social conditions are resulting in higher life expectancy more than ever. This is called population ageing. Illness or injury in older age causes various and specific problems which affect all personal areas of the elderly such as physical, emotional, social and spiritual status. It is the aim of rehabilitation to improve or restore those areas following personal injury or illness. One of the various professional disciplines contributing to the rehabilitation process is Occcupational Therapy. The main aim of the thesis is to clarify the role of Occupational Therapy in the area of elderly rehabilitation. It also aims to incorporate the World Health Organisation{\crq}s International Classification of Functioning, Disability and Health (ICF) into clinical work of Occupational Therapy and to find its practical use in this discipline.

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USING DATA MINING METHODS FOR DEMOGRAPHIC SURVEY DATA PROCESSING Abstract The goal of the thesis was to describe and demonstrate principles of the process of knowledge discovery in databases - data mining (DM). In the theoretical part of the thesis, selected methods for data mining processes are described as well as basic principles of those DM techniques. In the second part of the thesis a DM task is realized in accordance to CRISP-DM methodology. Practical part of the thesis is divided into two parts and data from the survey of American Community Survey served as the basic data for the practical part of the thesis. First part contains a classification task which goal was to determinate whether the selected DM techniques can be used to solve missing data in the surveys. The success rate of classifications and following data value prediction in selected attributes was in 55-80 % range. The second part of the practical part of the thesis was then focused of determining knowledge of interest using associating rules and the GUHA method. Keywords: data mining, knowledge discovery in databases, statistic surveys, missing values, classification, association rules, GUHA method, ACS

The main purpose of thesis is creation and evaluation of models for change detection of arable land to grassland by Hybrid-based Change Detection method, which combined approaches based on the Vegetation Indices, Image Differencing and Principal Component Analysis. Six locations with different seasonal configuration of images with high resolution and one locality covered by image with very high resolution were used. The areas were spread across the foothill areas of the Czech Republic. The selection of predictors and the most suitable model was supported by statistical calculation. Application selected models were carried out using a multi-temporal object classification and their accuracy were verified using reference data. The benefit of this thesis is finding generally applicable model useful to investigate the land cover change and evaluation of the potentially most appropriate seasonal configuration of images. Valuable is also methodology in this thesis which focus on selection of predictors and calculation the order of the most appropriate models, which is unique in the available literature. The thesis provides useful findings fitting to insufficiently explored issue of Change Detection arable land to grassland. Powered by TCPDF (www.tcpdf.org)

The main object of this thesis is to evaluate the results of a case study of teaching the topic of annelids. The study was carried for three years at Podkušnohorské gymnasium grammar school in Most. Another objective is to find the connection between obtained data, activity of students during classes and other chosen factors that may affected a success in the classified test and post-test. The thesis is divided into two parts. First part presents the research part which is devoted to a brief overview of textbooks for second grade of elementary and high school. The second, analytical part, is divided into three subsections. The first subsection is devoted to the evaluation of teaching methods for individual teachers Most schools with an emphasis on the level of activity of students in biology classes. The second subsection analyzes the results of the investigation and commented the results on, especially the success rate of students in the various test phases. The third subsection suggests, based on the data obtained, the best teaching methods to the topic of annelids. Key words: annelids, pupils, pre-test, classification, activity during lesson, knowledge extinction, teacher

The diploma thesis deals with the position of error in the teaching of mathematics in the awareness of pupils and teachers. It also focuses on the responses of pupils and teachers to errors. Main attention is paid to mathematical errors. The thesis consists of two parts, theoretical and practical. The theoretical part contains an overview of selected error views. It contains a look at the development and changes of views on the concept of "error", the different concepts of error classification and pedagogical and psychological views on the term "error". The practical part is based on the research carried out at the 2nd level of two primary schools in Prague and Neratovice. Pupils filled in a questionnaire and a guided interview was conducted with teachers. KEYWORDS work with error, error classification, causes of errors, learning without errors, learning with error

The target of this thesis is to compare access of national legislation and international financial reporting standards to classificaton of insurance contracts on one hand and on the other hand to compare accounting requirements, that should all entities meet. Subject of investigation is a new civil code (Act no. 89/2012 Sb.), decree no. 502/2002 Sb., Czech accounting standards and IFRS 4 for insurance contracts. Thesis, made of theoretical basis and also illusstrative examples, proves that access of IFRS 4 can lead to different outputs. According to IFRS 4, it does not depend on subject, who issue a contracts, but it depends on structure of the contract. It means, that all companies should be testing their contracts regardless on the scope of bussines. Further more IFRS 4 also requires higher level of knowledge and independent decision-making of accounting department and it should provide more detailed comment to financial statement at the same time.

In the currently highly competitive environment, the information systems of the businesses should not only effectively support the existing business processes, but also have to be dynamically adaptable to the changes in the environment. There are increasing efforts at separation of the application and the business logic in the information system. One of the appropriate instruments for this separation is the business rule approach. Business rules are simple, understandable rules. They can be used for the knowledge externalization and sharing also as for the active control and decisions within the business processes. Although the business rule approach is used for almost 20 years, the various specifications and practical applications of business rules are still a goal of the active research. The disadvantage of the business rule approach is great demands on obtaining of the rules. There has to be a domain expert, who is able to manually write them. One of the problems addressed by the current research is the possibility of (semi)automatic acquisition of business rules from the different resources - unstructured documents, historical data etc. This dissertation thesis addresses the problem of acquisition (learning) of business rules from the historical data of the company. The main objective of this thesis is to design and validate a method for (semi)automatic learning of business rules using the data mining of association rules. Association rule are a known data mining method for discovering of interesting relations hidden in the data. Association rules are comprehensible and explainable. The comprehensibility of association rules is suitable for the use of them for learning of business rules. For this purpose the user can use not only simple rules discovered using the algorithm Apriori or FP-Growth, but also more complex association rules discovered using the GUHA method. Within this thesis is used the procedure 4ft-Miner implemented in the data mining system LISp Miner. The first part of this thesis contains the description of the relevant topics from the research of business rules and association rules. Business rules is not a name of one specification of standard but rather a label of the approach to modelling of business logic. As part of the work there is defined a process of selection of the most appropriate specification of business rules for the selected practical use. Consequently, the author proposed three models of involving of data mining of association rules into business rule sets. These models contain also the definition of a model for the transformation of GUHA association rules in the business rules for the system JBoss Drools. For the possibility of learning of business rules using the data mining results from more than one data set, the author proposed a knowledge base. The knowledge base is suitable for the interconnection of business rules and data mining of association rules. From the perspective of business rules the knowledge base is a term dictionary. From the perspective of data mining the knowledge base contains some background knowledge for data preprocessing and preparation of classification models. The proposed models have been validated using practical implementations in the systems EasyMiner (in conjunction with JBoss Drools) and Erian. The thesis contains also a description of two model use cases based on real data from the field of marketing and the field of health insurance.

This dissertation deals with identification, classification and efficiency assessment in general and is later on applied to Wüstenrot - Building and Loan Association, a.s. Process is the core unit of the procedural type of Organization Management. Therefore, the Building and Loan Asociation defines the key processes and proceeds to the process mapping at the selected detail level. In the first place, this concerns the corporational detail level. Secondly, processes of Customer Satisfication are elaborated. These processes make a synergic effect and cause most valuable benefits providing the fact they are controlled. This means the Corporation Management has to reflect to the outcomes of the Process Efficiency Assessment. Every single process is described from the current situation point of view. Subsequently, proposals are made to improve its efficiency assessment.