of the Ph.D. Thesis Netrdová, P.: Current trends in quantitative analysis of geographical data: potentialities and limitations of spatial analysis The thesis is a contribution to the discussion about the potentialities of the quantitative approach in geography. It follows the current trends in quantitative analysis of geographical data, specifically spatial analysis, particularly from the perspective of changes in the concept and character of applied methods and their possible contribution in geographical research. Due to the research focus of the author, the entire work is focused primarily on the issue of using quantitative methods in terms of social geography. Attention is focused particularly on statistically spatial analyses, which are the most widely used techniques in social geography, with a wide range of possible applications. One of the goals of this work is to bring the current development in quantitative geography closer to the Czech academic community, and thus contribute to the increased awareness of the potentialities of the application of quantitative methods and spatial analyses in geographical research. Methodological problems in the analysis of spatial data, theoretical changes in the concept of quantitative analysis and also newly emerging quantitative methods have not so far...

Title Usage possibilities of the cloud products of satellite datasets Author: Bc. Petr Šácha Department: Department of Meteorology and Environment Protection Supervisor: RNDr. Petr Pišoft Ph.D. Supervisor's e-mail address: Petr.Pisoft@mff.cuni.cz Abstract: Cloudiness plays an important role in the global energy and water cycle. In particular, the presence of clouds dominates the planetary albedo and takes part in many climate feedback processes. In this thesis a short informational overview of remote sensing, a description of EUMETSAT, satellites, which it used, its part CM- SAF and a search retrieval of current research is given at first. Then the study is focused on the cloud satellite products, especially on CFC (cloud fractional cover) and CTY (cloud type) products. Data sets of daily averages of these products are compared with the daily averages created from the surface SYNOP observations of the total cloud cover and cloud type in the area of the Czech Republic. In the case of big variances between the two examined datasets of daily averaged cloud coverage, possible causes like the sampling error, dependence on season, localization of the station and the elevation and type of cloudiness, are searched. Several statistic analyses and validation scores are computed. Finally, possibilities of the examined...

In the thesis we study the decay of B0 meson to D∗ s and ρ mesons. The thesis explains the methods and approaches to data analysis in so-called B-factories, simmilar to the KEKB accelerator. The aim of this thesis is to calculate the branching fraction of this decay to further improve the previously measured branching ratio at BaBar experiment with additional data gained from an ex- periment with higher integrated luminosity. This thesis's prospect is not only broadening our knowledge of branching fractions of B0 meson decays, but also it is a starting point for further analysis with the goal of broadening our knowl- edge of CP symmetry violation in the Standard Model by measuring angles of the Unitary Triangle. 1

Diploma thesis named „Analysis of phenological data for given species in protected landscape area Pálava within south Moravia region“ is focused partly on processing phenological historical database which includes pheno data about various birds populations. Thesis is also focused on field observations at various exeprimental sites, especially area Pálava. Historical records came from two localities in south Moravia since 1970 till 2003 according to given species and locality. Elaboration of phenological series and trends is done for three bird species - the Great Tit (Parus major), the Blue Tit (Parus caeruleus) and the Eurasian nuthatch (Sitta europaea). For final elaboration of phenological series the computer tool AnClim was used.The results showed earlier onset of mean laying day for great tit and blue tit (by 1.1. – 5 days within the decade). Also the trend analysis showed agreement within the phenological series when comparing trends among each other or among different sites.

Šuly, P. Mobile application for obtaining questionnaire data in the field. Diploma thesis. In Brno: Mendel University , 2019. This diploma thesis deals with the design and creation of an application program interface for the creation of applications for obtaining questionnaire data in the field. In addition, Android mobile application is designed and implemented with use of this interface and new Android technologies. The aim of the thesis is to build an application program interface and a test application based on the acquired requirements.

This paper is about application of various data mining methods in social networks and social media area. It reveals basic principles of social media with the aim to high information potential of usage of the data from social networks. This is demonstrated on selected data mining methods, especially Social Network Analysis and Sentiment Analysis. Other opportunities of using social media data are shown in chapter about Social Media Monitoring tools. All these chapters are supplemented by practical examples and particular researches. Last chapter reveals visions and threats, which can bring data mining in the future. Keywords Data mining, social networks, social media, social network analysis, sentiment analysis, social media monitoring

This diploma thesis focuses on income inequality and its impact on economic development in the EU member states. The literature overview deals with description of income inequality and identifies its causes, consequences, methods of measurement and possible solutions. The relationship between income inequality and economic growth is examined through panel data analysis and cluster analysis.

Navrátil, E. Business Intelligence in project management office. Diploma thesis. Brno: Mendel University, 2019. The topic of this Diploma thesis is Business Intelligence in the context of Project Management Offices. The first part of the thesis is focused on project management, Business Intelligence and data visualization. Moreover, the first part of thesis contains comparison of current BI software on the market. The second part of the thesis deals with practical application of BI. There is an analysis of the researched company, focus is placed on its processes and IT equipment. After requirements are specified and appropriate BI software is chosen, an analysis of BI implementation and running costs is done. For assessing the sit-uation in the company, after implementation of BI software, a series of interviews with different stakeholders throughout the company’s structure is done. Furthermore, situations where implementation of BI led to cost savings are described, mainly fixed costs are positively affected. In conclusion, recommendations and non-financial benefits that change how the researched company works with project management data are presented.

The questionnaire survey is a key tool for examining social phenomena, but like society as a whole, it is undergoing development and needs to be subjected to constant analysis in order to improve it. The approach of mixed modes of data collection can then be used to evaluate and compare individual modes at the level of measurement invariance in order to point out their degree of measurement accuracy and to evaluate similarity or difference. Through the analysis of political participation, preference and measurement accuracy for three different modes of data collection - CATI, CAWI and CAWI with sampling frame of social network Facebook, clear differences of individual modes were defined and the recommendation of their combination was stated in order to use the strengths they offer, while minimizing the errors associated with them.

The Master’s in Oral Health Sciences (OHS) program at Boston University, affiliated with BU Henry M. Goldman School of Dental Medicine (BUGSDM), is a branch of Graduate Medical Sciences located within the Boston University Chobanian and Avedisian School of Medicine. The program was initiated in 2005 to serve as a pathway for students from underrepresented groups to enhance their academic credentials and gain admission to dental school. Taking previous studies into account, this investigation aimed to (1) determine whether working during the undergraduate degree program impacted undergraduate performance, as measured by the student’s cumulative grade point average (GPA); (2) determine whether performance improved during OHS, a program during which a student is assumed to not work due to the program’s academic rigor, as measured by the student’s OHS GPA; and (3) determine whether specific academic factors (e.g. subsection scores on the Dental Admission Test [DAT], certain undergraduate courses such as upper-level biology or upper-level math courses, etc.) were associated with success in coursework and thus could serve as positive predictors for admissions and future success in dental school. Data was obtained using (a) available deidentified applications to the OHS program and (b) available deidentified American Dental Education Association Associated American Dental Schools Application Service applications to BUGSDM for five OHS class years: 2016-2020. Analysis of variance was used to determine if statistically significant relationships existed between academic parameters. It was found that significant relationships existed between OHS GPA and (1) the following DAT subsection scores: perceptual ability, quantitative reasoning, biology, general chemistry, organic chemistry, total science, and academic average and (2) the following undergraduate courses: Biology I, Biology II, and General Chemistry I. Those students earning a B or better in Biology I, Biology II, and General Chemistry I courses were found to have a graduate (OHS program) GPA 0.03-0.04 points higher than the mean. Additionally, those students earning lower DAT scores in the BI (17), GC (18), and OC (18) subsections earned a lower overall OHS GPA. Students earning higher DAT scores in the BI (19), GC (20), and OC (19) subsections earned a higher overall OHS GPA. These relationships were found to be statistically significant. The implications of this study can extend to other U.S. pre-dental post-baccalaureate programs and dental programs and be used as positive predictors for academic success and in admissions.