This master’s thesis is focused on description and application of the FMEA method at the manufacturing company. The thesis is based on important steps such as introducing a knowledge database of all possible functions, failures, and countermeasures to minimize risks of a failure occurrence (detection, prevention), a failure assessment by Pareto analysis, and verification of the introduced template by a real project.

This thesis is about spell checking. The main goal is to design an automatic spell checker which can find misspellings in text and correct them without any additional user input. The spell checker must be also able to correct huge amount of text data because it will be used for pre-processing of text before some data mining methods will be applied.

This diploma thesis deals with a positioning accuracy of global positioning system GPS and satellite augmentation system EGNOS. My thesis describes the procedure for investigation of the errors in previously mentioned global navigation satellite systems according to L10 regulation and further on an elaboration is worked out in more detail far beyond the requirements of this regulation. In the practical part, an assessment of errors on a real data sample is done, the errors are measured with using a static observation, and later a discussion is carried out on the achieved results.

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

Climate change prediction and evaluation of its impact currently represent one of the key challenges for the science community. Regional climate models (RCM) have been recently established as a main source of the data for climate change assessment studies. Nevertheless, RCM outputs suffer from systematic errors caused primarily by their low spatial resolution and cannot be used directly without any form of bias correction. The bias correction is an actual topic in climatology and several correction methods were developed, ranging from the simple additive method to more advanced approaches (e.g. quantile mapping). However, despite this progress, the bias correction methods suffer from several difficulties, which bring another source of uncertainty into the climate change impact assessment studies. This thesis is focused on two problematic points connected with the bias correction of daily precipitation data. The first one is a non-stationarity between calibration and application periods. New correction methods are developed, showing an increased resistance to non-stationary conditions. The second problem is related to the correction of a dependence (i.e. correlation and covariance) structure of multivariate precipitation data. A new procedure is proposed, correcting the complete dependence structure of the model data. All newly introduced methods are validated using measured and RCM-simulated data; the validation demonstrates their suitable applicability.

We studied the treebanks included in HamleDT and partially unified their label sets. Afterwards, we used a method based on variation n-grams to automatically detect errors in morphological and dependency annotation. Then we used the output of a part-of-speech tagger / dependency parser trained on each treebank to correct the detected errors. The performance of both the detection and the correction of errors on both annotation levels was manually evaluated on a randomly selected samples of suspected errors from several treebanks. Powered by TCPDF (www.tcpdf.org)

The thesis is focused on studies of dysorthographia, one of the specific learning difficulties. The theoretical part deals with specific learning difficulties in general, characterizes the concrete term of dysorthographia in view of its types, causes and symptoms, mentions some diagnostic methods in use and some corrective techniques. This part also indicates the impact of the introduced difficulties on various schoolwork areas as well as on the everyday life. The research part follows some types of errors together with error rate in writing at children with dysorthographia and at children without this diagnosis.

This thesis deals with problematics of secure operations of microcontrollers. During long-term use, the microcontrollers can be affected by error or malfunction. The aim of this thesis is to describe the types of errors which can affect processors, cause of creation of these errors and possibilities of preventing malfunctions in microcontrollers. There is many problems connected with operation of microcontrollers, therefore there are many methods to prevent these problems. First part of this thesis deals with description of types of mistakes and with attempts of theirs modelling. Second part of this thesis narrate possibilities of preventing each type of mistake during designing the system or during operation of microcontroller and explaining methods of fault toleration by using redundant circuits in case of hardware fault and by modifying source code in case of software faults. In third part the hazard analytical methods are described. The recognition of events able to damage the system has high importance. The risk analysis takes place during developing and during operation of the system. Fourth part is trying to describe some of the processor testing techniques as main method of finding errors before operating use of microcontroller. Last part attempts to practical draft of testing algorithm for chosen microprocessor and application of one of analytical techniques.

In our diploma thesis we deal with mistakes in written discourse of Russian speakers. We are trying to explore the mistakes of Russian speakers on the materials of the Czech language and create several lingvodidactic recommendations about how to interpret the topic and how to prevent mistakes. We indtroduce a plentifully used communicative method for teaching foreign languagues and discribe four basic language skills. Key words: communicative method, basic language skills, written discourse, written communication, mistake, classification of mistakes, causes of mistakes, evaluation of mistakes.

Common mistakes Czech students make in English represent the main topic of the presented master thesis. The theoretical part mainly deals with the presentation of various TEFL (Teaching English as Foreign Language) methods. Moreover, they are discussed from several perspectives, including techniques, strategies and principles while using the particular method, the role of the teacher, his or her relationship with students, and especially the response to errors within each of the methods. The purpose of presenting TEFL methods is to show also the connection between mistakes and methods themselves. Concerning the area of mistakes and their corrections, we focus on the classification of mistakes and their division. The practical part is based on various illustrations of mistakes from students' writing assignments. These mistakes are divided into four major classes, including grammar, spelling, wrong word and word order. The thesis also deals with the remedial treatment which may hopefully reduce the number of possible mistakes. The aim of the thesis is to compare the level of students' English language knowledge at the Secondary School of Tourism in Prague where the author works as an English teacher.