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Mathematical Methods in Economics
Fajfr, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The bachelor thesis is focused on analysis of selected economic indicators of company D&D Elektromont using statistical methods. The thesis is divided into three separate parts. The first part is aimed at the introduction of the theoretical foundations needed to complete the analysis. The second part presents the company and analyzes its selected economic indicators. The third part summarizes the findings and proposes specific solution to improve company’s situation.
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Mathematical Methods in Economics
Bednar, Stepan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis deals with the financial analysis of the company Porr, a.s. by using statistical methods. The thesis is consists of two main parts. The first part is theoretical and focuses on financial analysis, describes regression analysis and time series. The second part includes the financial analysis and the prediction of further development for the company by using statistical method. Recommendations for improving the financial situation in the future are suggested as the conclusion of these parts.
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Mathematical and Statistical Methods as Support of the Development of Software Applications
Šmerda, Patrik ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
Bachelor's thesis is focusing mainly on the calculation of selected economic indicators for the company Craneservis, spol. s r.o., the calculations of these indicators are processed in detail by statistical methods, which determine the assumptions of further development of economic indicators. For these purposes, as part of this thesis, program was created using the Visual Basic for Applications programming language. Bachelor's thesis contains part with suggestions, which deals with measures to improve the economic situation using economic indicators.
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Software Application of Statistical Methods in Data Driven Management
Rádl, Miloš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis focuses on the assessment of possibilities in using software application of statistical methods in the field of data driven enterprise management. This includes a practical demonstration in a form of an analysis of telemarketing and an analysis of the work of company call centre. The thesis also contains assessment of the results of said analysis and recommendations based on them, which are aimed to help the enterprise in related endeavors.
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Vliv probiotik na imunologické vlastnosti buněk obranného systému
Šustrová, Tereza
This disertation thesis aims to determine the effect of probiotic on the cells of immune system – human, procine and rat neutrophils and macrophages. Immune cells were exposed to 3 probiotics – Bifidobacterium bifidum, Lactobacillus rhamnosus and Enterococcus faecium, which are normally included in GIT. The first aim of this study was choose the most appropriate method for the isolation of human and porcine neutrophils and PBMC from peripheral blood. Other aims were to find out whether interactions of probiotics with neutrophils and macrophages affect their lifetime and lead to their structural changes. And whether intraperitoneal administration of probiotics lead to pro-inflammatory polarizoation of macrophages and affect viability of intraperitoneal immune cells. Structural changes of cells were detected by light and transmission electron microscopy. For detection of early and late apoptosis was used flow cytometry and for detection od cytolysis was used LDH aktivity. To determine of effect of probiotics on polarization of rat macrophages, qRT PCR was used. The results of this thesis suggest that all tested probiotics led to a significant increase in early apoptosis in porcine neutrophils and late apoptosis and cytolysis (LDH) in human neutrophils in vitro.
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Analysis of Economic Indicators Using Statistical Methods
Ivachshenko, Olga ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The bachelor thesis focuses on the financial analysis of ABB s. r. o company by using statistical methods. The thesis consists of two main parts. The main purpose of the first part is the describing of individually economic indicators of the company and regressive analysis with the time series. The second part includes the financial analysis and the prediction of further development for the company. As the conclusion of these two parts, there is suggested recommendations for improving the financial situation in the future.
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