Informatics (e-books)

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  • Year of publication:: 2020
  • Publication language:: Slovak
Digitálna forenzná analýza I.
ŠafárikPress - UPJŠ v Košiciach

Digitálna forenzná analýza I.

E-book

E-book

Pavol Sokol - Ladislav Bačo - Tomáš Bajtoš

In the university textbook, we present the theoretical foundations and technical details of the activities of a forensic investigator. We describe the identification and provision of digital tracks, file system analysis. analysis of various artifacts of the Windows operating system, analysis of the operating memory. The textbook is also supplemented by a chapter devoted to the analysis of malicious code (malware). University textbooks are intended for students of bachelor's, master's, engineering and doctoral study programs in computer science, but also in non-informatics fields.

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Pokročilé štatistické metódy
ŠafárikPress - UPJŠ v Košiciach

Pokročilé štatistické metódy

E-book

E-book

Daniel Klein

Statistics is defined as a scientific discipline based on learning from data and on finding, controlling, and presenting uncertainty. In these university textbooks we present the history of statistics, basic concepts of statistical modeling, measurement of dependencies, regression models, analysis of variance. We describe simple sorting, multiple comparisons, assumptions of the ANOVA model, Kruskal-Wallis test.

University textbooks are suitable for students of mathematics and computer science at the first and second level of universities. Study materials are also suitable for students of non-informatics disciplines with a view to improving their knowledge and practical experience in the fields of informatics and provide an opportunity for students to apply in IT companies in solving practical tasks.

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Prípadové štúdie v dolovaní údajov
ŠafárikPress - UPJŠ v Košiciach

Prípadové štúdie v dolovaní údajov

E-book

E-book

Erik Bruoth - Juraj Šebej - Ľubomír Antoni

In these university-level textbooks, we present the fundamental concepts of networks and graph theory. We explore breadth-first and depth-first graph searching. We present static and dynamic network models. We describe the issue of detecting overlapping and non-overlapping communities in directed and undirected networks. Various approaches to anomaly detection in networks also form an important part of this textbook. The final chapter is dedicated to spectral clustering, which plays a significant role in data mining in network graphs for various application domains.

These textbooks are suitable for first and second-year university students in computer science programs. The study materials are also suitable for students in non-computer science fields, with the aim of improving their knowledge and practical experience in computer science-related areas, and provide an opportunity for students to find employment in IT companies to solve practical tasks.

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Základy znalostných systémov
ŠafárikPress - UPJŠ v Košiciach

Základy znalostných systémov

E-book

E-book

Ondrej Krídlo

University textbooks present the basics of knowledge systems, which are divided into two parts. The first part of the publication is devoted to the basis of Formal Concept Analysis, ie the method of data analysis, knowledge representation and information processing, which is based on the formalization of the concept. In the second part we deal with the basics of logic programming, procedural semantics of logic programming, ie programs - theories, questions, SLD-derivation, SLD-tree, search strategies.

University textbooks are intended for students of master's degree programs in computer science.

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Strojové učenie
ŠafárikPress - UPJŠ v Košiciach

Strojové učenie

E-book

E-book

Gabriela Andrejková - Ľubomír Antoni

Machine learning addresses the issues of how computer programs recognize complex patterns and make decisions based on data. In these university textbooks, we focus on theoretical knowledge in the field of machine learning in which we present the creation of concepts for objects, the preparation of concepts, hypotheses and the process of learning from examples. We describe Boolean formulas and their representations, probabilistic learning, linear and logistic regression, linear modeling and classification. Clustering and the Bayesian approach to machine learning conclude this publication.

University textbooks are intended for students of master's degree programs in computer science.

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Internet vecí a jeho aplikácie
ŠafárikPress - UPJŠ v Košiciach

Internet vecí a jeho aplikácie

E-book

E-book

Ľubomír Antoni a kol.

In university textbooks, we present the basics of the Internet of Things, its origin and technological development, concept. We classify Internet of Things applications into the areas of healthcare, intelligent environment, personal and social areas, transport and logistics, smart cities.

We present an overview of university subjects in the field of the Internet of Things, which were created and innovated at Slovak universities within the national project IT Academy - Education for the 21st Century. We present extended subject annotations, application examples and case studies using various methods in the field of the Internet of Things.

University textbooks are intended for students of bachelor's, master's, engineering and doctoral study programs in computer science, but also in non-informatics fields.

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Dátová veda a jej aplikácie

Dátová veda a jej aplikácie

E-book

E-book

Ľubomír Antoni a kol.

In university textbooks, we present the history of data science, basic concepts in artificial intelligence, machine learning, or deep learning. We describe the relationships between data science and other disciplines and summarize the tasks of the data scientist. We present an overview of university subjects in the field of data science, which were created and innovated at Slovak universities within the national project IT Academy - Education for the 21st Century. We present extended subject annotations, application examples and case studies using various methods in the field of data science. University textbooks are intended for students of bachelor's, master's, engineering and doctoral study programs in computer science, but also in non-informatics fields.

Download e-book for free (pdf)

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