This master´s thesis deals with the financial situation of SUDOP BRNO, spol. s r.o. The theoretical part explains the time series, regression analysis and financial analysis. The practical part is focused on development of economic indicators and predicts its trend for future. Also, the competitive status is evaluated. In the final part there are suggestions for improvement of company situation.

This master's thesis deals with the analysis of selected rates of shares by using statistical methods including regression analysis and analysis of time series. Using moving averages as technical indicators in technical analysis of securities to predict the future development of rates of shares and finding buy and sell signals that these indicators generate. The results of this work are suggestions for stock trading based on the use of these methods.

The thesis deals with the design and optimization of artificial neural networks (specifically nonlinear autoregressive networks) and their subsequent usage in predictive application of stock market time series.

The diploma thesis is focused on the design implementation of information security management system in a small business and is applying theoretical knowledge to real-life situations in a manufacturing company. First of all is performed analysis of current status and the consequent threats which can affect the company's assets. Thereafter are proposed measures based on identified risks and requirements of the owner.

This master‘s thesis deals with the performance evaluation AGROMORAVIA, a.s. using of classic, modern and statistical methods and subsequent formulation of own designs and their benefits to improve company performance. Based on the analysis results are compared with a competitor. In addition, selected economic indicators are subjected to statistical analysis and the result is a prediction of future development, from which derives valuable information that serves the proposals for improving the current situation of the company in the coming years. Analyses are performed for the period 2006 to 2012.

This diploma work deals with description of pressure sewerage networks. First of all is focused on statistical evaluation of pressure sewerage operation in Káraný municipality where was evaluated waste water flow and pressure on sewerage network.

Data collecting and analysis are commonly used techniques in many sectors of today's business and science. Process called Knowledge Discovery in Databases presents itself as a great tool to find new and interesting information that can be used in a future developement. This thesis deals with basic principles of data mining and temporal data mining as well as with specifics of concrete implementation of chosen algorithms for mining periodic patterns in time series. These algorithms have been developed in a form of managed plug-ins for Microsoft Analysis Services -- service that provides data mining features for Microsoft SQL Server. Finally, we discuss obtained results of performed experiments focused on time complexity of implemented algorithms.

The subject of this master's thesis is extension of existing data mining system. System will be extended by the module for the time series data mining. This thesis consists of common introduction to data mining issues and continues with time series analysis. Thesis then also contains some of the current tasks and algorithms used in time series data mining, follows by the concept of the implementation and description of the choosen mining method. Possible future system's improvments are disscused at the end of the paper.

This diploma thesis analyses the financial situation of TIEFENBACH s. r. o. company within the years 2007 – 2014, by selected indicators of the financial analysis. The values of indicators will be arranged in time series and, by using a regressive analysis, the trend and development will be estimated. The thesis also includes proposals of solutions for identified problems which should result in improvement of the financial situation of the company in the following years.

Abstract Master’s thesis about „Assessing of the financial situation of a company using time series” focuses on a detailed assessment of the economic situation of the state-owned enterprise DIAMO between years 2005–2014. The theoretical part describes methods and indicators of strategic, financial and statistical analyses, which are in the next chapter sequentially applied on the analysed company. The content of the final chapter introduce proposals of elimination of the risk areas of the state-owned enterprise, while the greatest emphasis will be applied on the issue of rising shares of receivables and liabilities to total assets and ensuring positive economic result in corporate profit. The main object of this master’s thesis is assessing financial efficiency of state-owned enterprise DIAMO, afterward identifying risk areas and introducing possible precautions, which will lead to overall greater economic health of the enterprise itself.