Artificial Intelligence (AI) refers to the sophisticated capabilities of machines that mimic human cognitive functions, including reasoning, learning, planning, and creativity. This course offers a practical introduction to artificial intelligence, guiding students through key milestone paradigms (e.g., agent models) and significant research papers in the field. Additionally, it explores the application of artificial intelligence in solving real-world problems.

Upon completing this course, students will have acquired the expertise to: ? Construct and comprehend the foundational principles of both classic and agentic AI paradigms, including knowledge representation, reasoning, learning, and multi-agent systems. ? Identify and apply suitable AI methodologies to address complex real-world problems across various domains. ? Analyze significant research papers and understand their contributions to the advancement of AI. ? Evaluate the impact and ethical considerations of AI applications in contemporary society, enabling informed decision-making in AI development and deployment.

Stuart Russell and Peter Norvig, “Artificial Intelligence: A Modern Approach,” 4th edition, Pearson Education, 2021.