This course offers a foundational introduction to the field of artificial intelligence, focusing on core theories, concepts, methods, and techniques that shape the discipline. During the first three weeks of Block A, students will explore the philosophy, history, and taxonomy of AI, and examine representations of AI in Sci-Fi films and series to critically engage with how artificial intelligence is imagined and understood across contexts.

The course also supports the development of essential academic and professional skills. Students will learn how to present ideas clearly, cite sources responsibly, read scientific papers efficiently, and deliver informative speeches. These skills are reinforced through practice and peer interaction, building confidence in professional communication and collaboration.

In addition to conceptual learning, students will analyze AI topics drawn from popular media, classify them within the taxonomy of AI, and evaluate their feasibility and implications in real-world settings. This includes assessing technical, ethical, and legal dimensions, and applying critical thinking to complex, interdisciplinary issues.

Practical components introduce students to key ideas in data use and analysis. Students will explore different types of data, learn basic analysis methods, reflect on decision-making practices, and gain introductory experience with tools for version control and collaborative project work.

By the end of the course, students will be able to define and apply core AI concepts, analyze both fictional and real-world AI applications, communicate their insights effectively, and engage critically with the social, ethical, and technical aspects of AI. This foundation prepares them for more advanced study and practice in AI and responsible innovation.