Artificial Intelligence
Koordynator: dr hab. inż. Robert Czabański, prof. PŚ
The aim of the course is to provide students with an in-depth understanding of intelligent systems and their practical applications. Participants will become familiar with key areas such as artificial neural networks (including deep learning), evolutionary algorithms, fuzzy systems, swarm intelligence, artificial immune systems, and generative artificial intelligence. The course integrates theoretical foundations with practical tasks, placing particular emphasis on the development of programming skills, problem-solving abilities, and critical thinking.
Pre-requisite qualifications: students should have a solid foundation in algebra, calculus, and basic statistics. In particular, they are expected to be familiar with derivatives and integrals, probability theory, and descriptive statistics. Additionally, basic experience in computer programming is required.
