Artificial Intelligence (AI) Technologies

Catalog description

Teaches artificial intelligence (AI) in an accessible way for graduate students of all disciplines, requiring no prior background in computer science or technology. Explores fundamental AI concepts, including decision-making models, neural networks, rule-based systems, probabilistic reasoning and AI-driven problem-solving techniques. Focuses on real-world applications across various fields, helping students understand how AI impacts research, business, health care and society. Ethical considerations are a key component, with special attention to the importance of transparency and fairness in AI systems and how explainability influences trust and accountability.