Fundamentals of AI

Introduction to the module

This course introduces students to the conceptual, technical, and societal foundations of Artificial Intelligence, emphasizing how intelligent systems learn, decide, and act based on a combination of design and emergent features. It bridges machine learning paradigms—supervised, unsupervised, and reinforcement learning—with managerial and behavioral insights relevant to business and digital transformation. Through a combination of conceptual lectures, case analyses, and hands-on exercises using tools like Google Colab, students will explore how AI models such as neural networks, transformers, and large language models function, as well as their implications for creativity, cybersecurity, and ethical governance. The course invites critical reflection on the nature of intelligence, data, and truth, encouraging students to connect computational mechanisms with human cognition and decision-making in the emerging AI-driven world.