Artificial Intelligence

Catalog description

This course introduces the foundations and applications of computational intelligence, covering the history of AI, key concepts, and the role of intelligent agents. It explores uninformed and informed search algorithms, probabilistic reasoning, machine learning paradigms, neural networks, deep learning, enabling architectures, large language models, and computer visions. Through lectures and hands-on projects, students gain both theoretical and practical understanding of intelligent systems. The course culminates in an applied AI capstone project that integrates these methods to solve real-world problems.