Artificial Intelligence in Chemistry: A beginner’s guide towards Data Scientist 0600-EN-AICh

(po angielsku) Contact hours with teacher: - participation in lectures: 20 hrs - participation in laboratory: 40 hrs Self-study hours: - preparation for lectures/tutorial/laboratory - 20 hrs - preparation for presentations - 10 hrs - completion of a projects - 20 hrs - reading literature - 10 hrs Altogether: 120 hrs

(po angielsku) - Understands the fundamentals of artificial intelligence and its applications in chemistry. - Knows key algorithms and models used in computational chemistry with machine learning, including: linear regression, least square regression, k-nearest neighbours, support vector machines, classification and regression trees and artificial neural networks - Familiar with the ethical implications and challenges of AI in science.

(po angielsku) - Able to handle and visualize different types of datasets common in Chemistry. - Use Python for AI-driven data analysis in chemistry. - Process data for use in machine learning approaches. - Able to apply AI techniques to solve basic chemical problems. - Identify the suitability of different ML approaches to answer chemical questions based on data. - Use standard ML python pipelines to train models. - Assess the quality of the models and their predictive power. - Recognize different applications of ML in Chemistry.

(po angielsku) - Recognizes the role of AI in advancing chemistry and other sciences. - Demonstrates readiness to explore interdisciplinary approaches integrating AI and chemistry. - Aware of the need for ethical considerations when using AI tools. - Develop interpersonal skills such as communication, cooperation in group and problem-solving abilities

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

- pokaz
- symulacyjna (gier symulacyjnych)
- inscenizacja

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

- laboratoryjna
- ćwiczeniowa
- seminaryjna
- referatu
- giełda pomysłów
- punktowana
- projektu

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

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

Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb:

• Strona przedmiotu 0600-EN-AICh w USOSweb