My diploma thesis deals with parallel and central projections of surfaces and algorithmization of their creation. It gives information about differential geometry of surfaces. Basic terms are explained as well as methods how to derive parametrization of several types of surfaces. It is also devoted to projections - parallel and central projection. The thesis deals with calculation of projection of surface. The thesis deals with calculation of projection of surface and in special cases with calculation of its silhouette. There is the program documentation of implemented algorithms. The theory of anaglyphs and their creation by programs is included. 3D red cyan glasses are enclosed to the thesis as well as a CD containing the .pdf version of this thesis and file named "mfiles", which contains proposed functions. The thesis is meant to be used by teachers and students in teaching and studying descriptive geometry and mathematics. Powered by TCPDF (www.tcpdf.org)

The diploma thesis deals with the development of algorithmic thinking among the lower-secondary students as one of their digital competences. It is based on the principle of algorithmic thinking related to the concept of computational thinking and it searches for the ways how to develop it in pupils. The theoretical part is supported by Skinner's concept of programmed learning and with the help of gamification proposes the research based on the students' observation in one school year in which the competence is developed. The raised issue is solved by setting a complex set of teaching materials and learning activities (both in the digital environment and unplugged activities) and their partial transfer into the teaching to a virtual, algorithmic environment of the specially designed application called Prográmko. The goal of the thesis is the analysis of the possibilities of how to include the gamification and the programmed learning into the practice of the development of algorithmic thinking taught at the lower-secondary schools. The research also evaluates the applicability of the application Prográmko and the proposed set of materials provided with methodological guidelines in the practice.

The diploma thesis deals with the teaching of programming at elementary schools in the Czech Republic. The theoretical part of the thesis focuses on mapping the current state of the teaching of programming at elementary schools. In addition, the currently used resources to support the teaching of algorithmization and programming for children are mapped. These resources are evaluated by selected evaluation criteria. On the theoretical basis of thesis, a teaching model focused on programming is designed as a practical output, including learning materials and a methodological manual for teachers. The design of the model of teaching is verified in practice.

This master thesis deals with programming education on first grade of primary schools in application EasyLogo. The theoretical part consists of analysis of education of an original set of short programming exercises. Based on observation of teaching at schools and following interactions with teachers and students was the set modified and supplemented by new exercises. The new educational set includes 52 exercises divided into seven sections which keep the teaching process following the taught steps. The master thesis consists of descriptions and previews of new exercises, guidelines for teachers and as an attachment there is a complete list of exercises divided into sections.

The aim of this thesis is mapping of current state of teaching of algorithmization in secondary school. Basic information about the subject is given in theoretical part - a relation between teaching of algorithmization and RVP ZV, and basic assupmtions of teaching of algorithmization: a historical aspect, methods, aims and possibilities of teaching of algorithmization (and an approach on teaching). The essential part of teaching of algorithmization is an education support - a textbook about algorithmization and programming, programming support, projects and competitions for students. Practical part is a pedagogical research. This research consists of five themes A. A quantitative research of teaching of algorithmization in secondary school in České Budějovice. B. A review of extra curricural teaching of algorithmization in ČB. C. A statewide mapping of teaching of algorithmization in Czech Republic. D. A statewide research on a success rate of the competition ?Bobřík informatiky? (informatics beaver). E. A teacher's experience with a textbook.

The diploma thesis inquires into the use of A.I. - artificial intelligence in the field of graphic design. This thesis aims to describe the current state of A.I. use and algorithmization in graphic design and, based on the conducted study, to evaluate the potential of this type of tool and possible impacts on graphic design. The theoretical section will introduce basic principles and concepts of graphic design and its relationship with art and technology, based on professional literature and current research. Furthermore, it will describe the current possibilities and specializations of artificial intelligence. Findings from these two chapters will serve as a framework for critical evaluation of the currently available A.I. driven tools for graphic design. In the research section, a quantitative study utilizing a questionnaire will be conducted among the professional public and examine the opinions and experiences of Czech graphic designers with tools for design automatization. Its results will be used to test the formulated hypotheses utilizing appropriate statistical methods.

The diploma thesis Algorithmization of social networks and its perception by adolescents deals with the issue of algorithms which lead to personalization of social networks. Their perception by children and adolescents is currently not sufficiently explored. In the theoretical part, I demonstrate how the current studies examine the perception of algorithms on a sample of the entire population, in the context of adolescents how they focus on social networks as a whole. Therefore, the ambition of this thesis is to research the intersection of these three spheres and its impact on adolescent's perception of algorithmisation of social networks. Through qualitative research using the method of semi-structured interviews, this thesis outlines trends that may prevail in this area. An analytical synthesis of knowledge also answers the questions of how adolescents are informed about the possibilities of influencing the selection and sorting of the content and whether they show interest in these possibilities. In the theoretical part, I introduce readers of this work to the issue of new media, how social media developed, including their convergence. Among the researched social networks are Facebook, Instagram and YouTube. To understand the comparison of reality and the statements of the respondents, in the...

Проблематику алгоритмизации мышления и исследования в области создания систем искусственного интеллекта объединяет вопрос «Может ли машина мыслить?» Несмотря на то, что две данные области по-разному отвечают на вопрос о возможности мышления машины, результаты достигнутые в одной области могут повлиять на другую. Объектом исследования являются проблематика алгоритмизации мышления и интеллект в концепции Дж. Хокинса. Предметом исследования являются ограничения на алгоритмизацию в связи с моделью «память-предсказание». Цель исследования - рассмотреть проблематику алгоритмизации мышления в связи с концепцией Дж. Хокинса. Методы, применяемые в исследовании: концептуальный и логический анализ. Новизна данной диссертационной работы заключается в сопоставлении проблематики алгоритмизации мышления с современным исследование в области создания ИИ, концепцией Дж. Хокинса. В результате исследования установлено, что в основе интеллекта лежит модель «память-предсказание». Используя данную модель, становится возможным решить практически все проблемы, связанные с ограничениями на алгоритмизацию мышления. Выяснено, что концепт обозримости доказательства можно применить для оптимизации работы интеллектуальных систем. / The problem of algorithmizing thinking and research in the field of creating artificial intelligence systems unites the question "Can the machine think?" Although these two areas of knowledge respond differently to the question of the machine's thinking capabilities, the results achieved in one area can affect the other. The object of research work are problems of algorithmization of thinking and intellect in the theory of J. Hawkins. The subject of the research work are constraints on algorithmization in connection with the memory-prediction model. The purpose of the research work is to consider the problems of algorithmizing thinking in connection with the theory of J. Hawkins. Methods used in the research work: conceptual and logical analysis. The novelty of this research work is to compare the problems of algorithmizing thinking with modern research in the field of creating AI, the concept of J. Hawkins. As a result of the research it was established that the intellect is based on the memory-prediction model. Using this model, it becomes possible to solve almost all the problems associated with limitations on the algorithmization of thinking. It is clarified that the concept of surveyability of proof can be applied to optimize the operation of intelligent systems.

In this thesis we are concerned with the numerical simulation of the in- teraction of compressible viscous flow and an elastic structure in 2D. For the elastic deformation we use a 2D linear model and nonlinear St. Venant- Kirchhoff and neo-Hookean models. The flow is described by the compressible Navier-Stokes equations written in the arbitrary Lagrangian-Eulerian (ALE) form in order to take into account the time-dependence of the flow domain. The discretization of both the flow problem and the elasticity problem is re- alized by the discontinuous Galerkin finite element method (DGM). We focus on testing the DGM applied to the solution of the flow and elasticity prob- lems. Furthermore, we discuss the coupling algorithm and the technique, how to deal with the deformation of the computational domain for the fluid flow problem. Our work is motivated by the biomedical applications. Numerical experiments include numerical simulation of vibrations of human vocal folds induced by the compressible viscous flow.

This diploma thesis explores subjectivity in the domain of so-called digital writing, that is, in texts of largely experimental nature generated by computer algorithms (or with their assistance). In order to do so, the thesis briefly covers the history of digital writing, its mediatic specificities, poetics as well as various theoretical and philosophical conceptualizations. Most importantly, it undertakes an analysis of a post-lyrical subject, a concept devised by Janez Strehovec, that is common to all cases of generative writing under focus. For its comparative analysis, the thesis deals with the recent works from contemporary creators who approach algorithmic textuality from variegated perspectives, incl. Nick Montfort, Allison Parish, Stephanie Strickland, Li Zilles, and Jörg Piringer. Texts generated by programs are conceived of as expressing a new, parasitic and prosthetic, genus of cyber-textual subjectivity that defies the traditional lyric and expands its pool "by other means," as Marjorie Perloff would say. Such a tendency results in conceptually as well as formally complex literary corpus "infected" by - to further exploit the suggested metaphor - parasitic voices and prosthetic selves. Unlike in generic lyric, the post- lyrical subject surpasses the confines of poetry as genre; it is...