In the field of Computer Science the Vinci RELOAD Interdisciplinary, International, Silesian Summer School 2026 allows the participants to explore issues related to the broadly understood artificial intelligence (including artificial intelligence with biometrics) and machine learning as well as data visualisation and creation of artistic patterns. These issues will be addressed both in theory and in practice. Workshops for research teams will take the form of individual work under a supervision of a scientist working at the Institute of Computer Science at the Faculty of Science and Technology of the University of Silesia, specialising in the area chosen by the student. The research will allow students to test their theoretical knowledge in practice. Workshops will be of an experimental nature; the student will have an opportunity to propose and implement new algorithms and verify their accuracy on real data sets from different domains. Such cooperation will allow for the implementation of scientific research with the use of specialised software, under the supervision of a scientist, which in turn should contribute to publishing the research results.
The school’s program includes classes in English with the following elements:
basic lecture interdisciplinary lecture online lectures specialist workshops
Basic lectures (15 hours + 15 hours of self-work)
A summer school student is required to attend all lectures in his or her primary discipline
Interdisciplinary lecture (3 hours + 3 hours of self-work)
Data mining and storytelling - Magdalena Tkacz, PhD
As part of the first 3h block, the basic concepts of data mining will be introduced to students. Various data mining tasks will be highlighted and characterized. The Cross Industry Standard Process for Data Mining (CRISP) scheme will be presented. Issues related to data preprocessing will be discussed. Finally, methods for assessing the quality of data mining models will be presented.
We strongly recommend the participants attend in all interdisciplinary lectures listed below across all four additional disciplines. It will be recognised with an extra certificate corresponding to 1 ECTS credit.
An analytical chemist serving as a forensic expert is responsible for the reliable examination of evidence using advanced instrumental analytical methods. Their role involves not only the identification and comparison of trace materials or chemical substances, but also the proper interpretation of results in the context of the forensic question, taking into account measurement uncertainty and methodological limitations. The expert’s opinion becomes a key component in the decision-making process of law enforcement and the judicial system. During the lecture, students will become familiar with: the basic concepts and objectives of applying instrumental analytical methods in physicochemical forensic examinations; instrumental analytical methods used in forensic laboratories for the analysis of evidential samples, with particular emphasis on the problem of trace evidence analysis, by a) scanning electron microscopy coupled with X-ray spectroscopy (SEM-EDX), b) X-ray fluorescence spectrometry (XRF, µ-XRF), c) microspectrophotometry in the UV-VIS range (MSP), d) infrared spectroscopy (FTIR), e) Raman spectroscopy, f) chromatographic methods; the fundamental issues related to the interpretation of the evidential value of various types of data obtained in forensic laboratories, with particular emphasis on the likelihood ratio test.
One plus one makes two. And when something falls, it breaks. But does it always? Do you ever find yourself questioning the unquestionable? Wondering (even quietly) if it really makes sense? Sometimes you just want to do it your way and see what happens if... So we'll do it our way. We'll ask plenty of less-than-serious and more-than-serious questions. And we'll see if it actually... works. Maybe in a "stupid" question there's a seed of wisdom? Come and find out. Because in materials engineering, that's exactly how discoveries begin -- when we test what "everyone knows," look closer at cracks, strengths, and surprises hidden in matter itself. Sometimes it's the unexpected question that leads to a new material, a better design, or a smarter solution.
The lecture focuses on modern cryo-electron microscopy (cryo-EM) techniques, with particular emphasis on sample preparation methods. It discusses key freezing strategies such as plunge freezing, high-pressure freezing, and slam freezing, along with approaches to fixation and rapid flash freezing of biological material. The lecture explains the importance of vitrification in protecting samples from electron beam damage and outlines the principles of low-dose microscopy. It also introduces the fundamentals of cryo-TEM tomography and the process of 3D reconstruction from tilt-series images. Overall, the session provides a comprehensive overview of techniques that enable high-resolution structural analysis while preserving the native state of specimens.
What is medical physics? What are the responsibilities of a medical physicist in therapy and medical imaging diagnostics? A brief description of selected diagnostic and therapeutic techniques. What is the future of medical physics? The lecture will include demonstrations utilizing selected medical devices. The lecture will presents the latest trends in the study of potential anticancer drugs. The topic of stages of research on new drugs will be discussed, with emphasis on the problem of in vivo testing. Moreover, the basic methods of toxicity testing of new substances and methods of verification of the obtained results will be presented. In the next part, other more advanced techniques (such as Western Blot, flow cytometry, PCR) allowing to determine the mechanism of anticancer activity will be presented. This will be followed by a discussion of the problems of selectivity of cytostatics to healthy tissue and methods to improve these parameters.
Online lecture (4 hours + 4 hours of self-work)
The lecture titled "Basic steps for natural language processing" will be deliverd by a world-renowned expert professor Jozef Kapusta, PhD. doc. from the Constantine the Philosopher University in Nitra, Slovakia.
Specialist workshops (30 hours + 30 hours of self-work + 10 hours to prepar a presentation for a closing seminar)
Workshops for research teams. Each candidate will declare their readiness to cooperate with a given research team at the recruitment stage, selecting an appropriate topic. These will be stationary classes carried out in modern research laboratories.
- Knowledge exploration using clustering and outlier detection algorithms
- AI essentials: from decision tress to evolutionary algorithms, and neural networks
- Visual data analysis
- Biometric methods for person identification and verification
- Discovering patterns and selecting features using AI models
