Artificial Intelligence: Foundations of Computational Agents ((4 Credits))

Catalog description

This course introduces the foundational principles and computational methods underlying artificial intelligence, emphasizing the design of intelligent agents. Topics include problem-solving through search, knowledge representation, inference, planning, uncertainty, learning, perception, and multi-agent systems. Students will gain a conceptual and practical understanding of how AI systems are built and evaluated. The course blends theory with hands-on exercises using current tools and techniques. Ethical considerations and the societal impacts of AI will also be explored. Suitable for advanced undergraduates in Computer Science, this course prepares students for further study or practical work in AI. Prerequisites: CSCI 3025 - Python Programming; MATH 3015 - Discrete Mathematics; CSCI 3015 - Data Structures and Algorithms.