| K_U01 |
search for, select, and critically analyze scientific literature from various areas of cognitive science using advanced bibliographic tools and databases, comprehensively evaluating the quality, reliability, and relevance of the arguments |
| K_U02 |
integrate knowledge from psychology, neuroscience, philosophy, linguistics, and computer science to formulate complex research questions and solve non-standard problems in the domain of cognitive science |
| K_U03 |
justify the choice of specific research methodologies and data analysis methods based on the nature of the problem, the hypotheses, and the type of information gathered, demonstrating an understanding of their assumptions, constraints, and ethical considerations |
| K_U04 |
design and conduct empirical research using advanced experimental methods (e.g., EEG, fMRI, eye-tracking, VR) while adhering to the ethical principles governing scientific studies |
| K_U05 |
Identify philosophical, methodological, and ethical underpinnings of cognitive research, critically assessing the assumptions of existing theories and the societal and individual impacts of emerging technologies (e.g., artificial intelligence) |
| K_U06 |
process data from various sources (e.g., EEG, fMRI, eye-tracking, behavioral data) by applying advanced signal-processing techniques (e.g., filtering, decomposition) and integrating multidimensional datasets, then interpret the results in a cognitive context |
| K_U07 |
apply advanced data analysis tools (statistical methods, data science approaches, or machine learning techniques) to develop, visualize, and interpret multidimensional datasets relevant to cognitive research |
| K_U08 |
create and evaluate computational models (in Python or other programming languages) of selected cognitive processes (e.g., linguistic, perceptual, decision-making), and subsequently verify the accuracy of these models against empirical data |
| K_U09 |
explain complex linguistic phenomena and processes (e.g., in the scope of natural language, NLP, psycholinguistics) by utilizing both computational tools and theoretical knowledge of phonology, syntax, semantics, or pragmatics |
| K_U10 |
employ simulation methods (e.g., agent-based modeling, dynamic networks) to investigate interactions between individuals or elements of a system, interpreting the results in the context of cognitive psychology, sociology, or linguistics |
| K_U11 |
effectively and clearly present research findings in the form of scientific articles, reports, grant proposals, and presentations, taking into account the target audience, methodological context, and ethical requirements, while ensuring coherence and clarity of communication |
| K_U12 |
effectively use information and communication technologies for collecting, analysing, visualising, and presenting research data, utilising modern IT tools |
| K_U13 |
use the English language proficiently, enabling participation in international academic and professional environments (at least at the B2+ level of the CEFR). |
| K_U14 |
effectively communicate complex ideas and research findings while actively collaborating within an interdisciplinary research team, contributing to mutual understanding and integration of diverse perspectives |
| K_U15 |
play a significant role in conducting research projects, including leadership roles, fulfilling assigned tasks, collaborating with team members, and contributing to the successful completion of key project stages and deadlines |
| K_U16 |
independently plan and undertake lifelong learning also guiding others in this process |
