From Natural Science to Data Science: An Introduction to Artificial Intelligence 0600-OG-EN-AIAI

(po angielsku) Contact hours with teacher: - participation in lectures: 30 hrs - consultations: 10 hrs Self-study hours: - preparation for presentations: 10 hrs - reading literature: 10 hrs Altogether: 60 hrs

(po angielsku) • The graduate knows the fundamentals of artificial intelligence, including its definition, principles, and its applications in basic science. • The graduate has structured knowledge of key algorithms and models used in machine learning, including: linear regression, least square regression, k-nearest neighbours, support vector machines, classification and regression trees and artificial neural networks. The graduate understands how these models apply to data analysis and property prediction. • The graduate understands the ethical implications and challenges of AI in science, including potential biases, data security issues and societal and environmental impacts.

(po angielsku) • The graduate is able to apply AI techniques to solve basic problems. • The graduate is able to evaluate the suitability of different ML approaches to answer scientific questions based on data. • The graduate is able to use Python libraries and standard ML protocols to train and optimize predictive models. • The graduate is able to evaluate the quality, accuracy and predictive power of ML models applied to scientific datasets.

(po angielsku) • The graduate recognizes the significance of AI in natural sciences, fostering innovation and discovery. • The graduate demonstrates readiness to adopt interdisciplinary approaches that integrate AI and natural science to solve complex problems and explore novel solutions. • The graduate is aware of ethical considerations and potential risks associated with the use of AI tools, ensuring their responsible application in scientific and industrial contexts. • The graduate develops strong interpersonal skills such as communication, teamwork and problem-solving abilities, fostering collaboration in multidisciplinary projects.

(po angielsku) - informative lecture - discussion - presentation of a paper

- symulacyjna (gier symulacyjnych)
- inscenizacja

- wykład informacyjny (konwencjonalny)
- opis
- wykład problemowy
- wykład konwersatoryjny

- ćwiczeniowa
- punktowana
- seminaryjna
- giełda pomysłów
- referatu

- metody wymiany i dyskusji
- metody ewaluacyjne
- metody rozwijające refleksyjne myślenie
- metody służące prezentacji treści

(po angielsku) General Mathematics No prior knowledge of programming is required

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• Strona przedmiotu 0600-OG-EN-AIAI w USOSweb