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Agnieszka Nowak-Brzezinska (Wydział Nauk Ścisłych i Technicznych, Uniwersytet Śląski, Instytut Informatyki)01/07/2026, 09:00
Unsupervised machine learning algorithms for complex data
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As part of the workshop, participants will be familiarized with the field of artificial intelligence and machine learning, unsupervised learning. In practical applications, using this learning method is much more often necessary. We do not know how to classify data (texts, images, sounds), and we analyze data in terms of, among... -
Agnieszka Nowak-Brzezinska (Wydział Nauk Ścisłych i Technicznych, Uniwersytet Śląski, Instytut Informatyki), Beata Zielosko (University of Silesia in Katowice), Kornel Chromiński, Krzysztof Wróbel, Magdalena Tkacz, Małgorzata Przybyła-Kasperek (University of Silesia in Katowice), Piotr Porwik, Przemysław Kudłacik (Uniwersytet Śląski), Rafał Doroz (Uniwersytet Śląski, Instytut Informatyki), Rafał Skinderowicz, Tomasz Orczyk (Uniwersytet Śląski w Katowicach), Łukasz Wawrowski01/07/2026, 11:30
Workshops for research teams. Each candidate has to attend the selected workshop.
Agnieszka Nowak-Brzezińska, PhdD, DSc, Assoc. Prof.: Knowledge exploration using clustering and outlier detection algorithms
Małgorzata Przybyła-Kasperek, PhD, DSc, Assoc. Prof.: Kornel Chromiński, PhD, Rafał Skinderowicz, PhD, AI Essentials: From Decision Tress to Evolutionary Algorithms, and...
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01/07/2026, 13:15
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Kornel Chromiński02/07/2026, 09:00
Kornel Chromiński, PhD
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Knowledge of at least one programming language is an indispensable element of knowledge that every IT specialist should have. Current trends in the development of programming languages, apart from improving code efficiency and increasing the possibilities, are also aimed at facilitating the writing of programs. A simplification for programmers is the simplification... -
03/07/2026, 09:00
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03/07/2026, 10:45
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Małgorzata Przybyła-Kasperek (University of Silesia in Katowice)06/07/2026, 09:00
Małgorzata Przybyła-Kasperek. PhD, MSc, Assoc. Prof.
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In research, the ability to justify the statistical significance of the formulated hypotheses is essential. The lecture aims to familiarize students with the basic concepts of statistical inference and the available software for performing statistical tests. Another goal is to teach students how to choose the appropriate test depending... -
06/07/2026, 11:30
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06/07/2026, 13:15
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Josef Kapusta08/07/2026, 09:00
Professor Jozef Kapusta, PhD. doc. from the Constantine the Philosopher University in Nitra, Slovakia
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This lecture introduces the fundamental steps in Natural Language Processing (NLP), covering essential concepts and techniques used to process and analyze human language. Topics include text preprocessing (tokenization, stemming, lemmatization), feature extraction methods, language... -
Josef Kapusta08/07/2026, 10:45
Professor Jozef Kapusta, PhD. doc. from the Constantine the Philosopher University in Nitra, Slovakia
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This lecture introduces the fundamental steps in Natural Language Processing (NLP), covering essential concepts and techniques used to process and analyze human language. Topics include text preprocessing (tokenization, stemming, lemmatization), feature extraction methods, language... -
Beata Zielosko (University of Silesia in Katowice)09/07/2026, 09:00
Beata Zielosko, PhD, MSc, Assoc. Prof.
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The subject matter will concern the discussion and application of reducts (tests) as well as decision trees and rules in data analysis. During the course, examples of problems that can be represented in the form of a decision table will be presented, as well as the use of decision trees, decision rules and reducts as tools (algorithms) to solve... -
Tomasz Orczyk (Uniwersytet Śląski w Katowicach)13/07/2026, 09:00
Tomasz Orczyk, PhD, Eng.
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During the three-hour module, students will be introduced to the challenges that can arise in data used in machine learning for model training and testing/validation. Issues related to incomplete, imbalanced, non-Euclidean (categorical, angular) data, and concept drift will be addressed. Examples of using this type of data in machine learning will be presented. -
13/07/2026, 11:30
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14/07/2026, 09:00
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14/07/2026, 10:45
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15/07/2026, 09:00
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15/07/2026, 10:45
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16/07/2026, 09:00
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16/07/2026, 10:45
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