INTELLIGENT SYSTEMS

Catalog description

This course provides a comprehensive introduction to the theory and practice of intelligent systems—computational systems that perceive, reason, learn, and act autonomously. Students explore a range of topics, such as perception, reasoning, learning modules, and agent-based architectures. Emphasis is placed on how these components integrate into real-world intelligent systems such as autonomous agents, decision-support systems, and adaptive environments. Students design and evaluate intelligent systems capable of perceiving their environment and responding autonomously. (3 credits) fall, spring, summer