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  • Year of publication:: 2013
  • Year of publication:: 2020
  • Year of publication:: 2026
Výučba programovania internetu vecí s využitím matematického modelovania a analýzy dát
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Výučba programovania internetu vecí s využitím...

E-book

E-book

Katarína Brinziková

This teaching guide for instructing students in Internet of Things programming using mathematical modeling and data analysis is intended for mathematics and computer science teachers in elementary and secondary schools, as well as for students training to teach these subjects. It responds to the requirements of the new curriculum reform in Slovakia, which emphasizes a cyclical learning process, the development of data, digital, and mathematical literacy, and the integration of teaching with real-world problems and technologies. The guide is designed in accordance with the methodological framework of design-based research. It contains technological and methodological foundations, as well as a set of proven teaching activities divided into three levels of difficulty. The teaching guide provides teachers with specific instructions, recommendations, and examples of best practices for the meaningful integration of IoT and mathematical modeling into teaching across different educational cycles, creating space for modern, interdisciplinary, and data-driven education.

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Pokročilé štatistické metódy

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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Jarná škola doktorandov 2020

Jarná škola doktorandov 2020

E-book

E-book

Peter Fedoročko (ed.)

Proceedings of the 7th Annual Doctoral Spring School 2020

From November 10 to November 11, 2020, the 7th annual Spring School for Doctoral Students at Pavol Jozef Šafárik University in Košice will take place in Košice in a modified mode in the on-line space. The scientific program of the spring school will comprise 2 plenary lectures by leading scientific experts of Pavol Jozef Šafárik University in Košice. Doctoral students will present their research papers in two sections: 24 doctoral students of Faculty of Public Administration, Faculty of Law and Faculty of Arts, and 22 doctoral students of Faculty of Medicine and Faculty of Science.

The scientific programme of the spring school will also include a panel discussion with the management of Pavol Jozef Šafárik University in Košice.

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Študentská vedecká konferencia PF UPJŠ 2013

Študentská vedecká konferencia PF UPJŠ 2013

E-book

E-book

Vladimír Zeleňák (ed.)

The publication contains abstracts of contributions presented at the Student Scientific Conference of the Faculty of Natural Sciences at UPJŠ in Košice, held on April 25, 2013. The event was marked by the celebration of the 50th anniversary of the Faculty of Natural Sciences at UPJŠ and was part of a series of events called ScienceFest.

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