Ateneo - UPO

The course provides an introduction to the fundamental concepts of artificial intelligence. It covers the basic principles, history, illustrated through simple examples and case studies.

Teaching material provided by the lecturer

Knowledge and understanding: Students will acquire a basic understanding of the theoretical foundations of Artificial Intelligence, with particular attention to the main historical paradigms and classical methodologies (search, knowledge representation, reasoning, learning). They will also understand the evolutionary stages of AI, its fields of application, and the associated ethical and social issues. Applying knowledge and understanding: Students will be able to recognize and describe scenarios in which Artificial Intelligence technologies are employed. They will be able to evaluate the role of AI in interdisciplinary contexts. Making judgments: Students will develop critical thinking skills in analyzing AI applications. Knowledge of the historical foundations and contemporary debates will provide them with the tools to develop their own, reasoned perspectives. Communication skills: Students will be able to clearly and coherently explain the fundamental concepts of Artificial Intelligence, using correct and accessible terminology, even in non-specialist contexts. Learning skills: Students will have acquired knowledge regarding the fundamentals of AI, with particular attention to the critical issues that have guided its evolution and development. In particular, they will have learned the specifics and differences of different AI technologies, with particular emphasis on their potential and limitations.

None

Face-to-face lectures in the classroom supported by slides. Teaching materials will also be provided through the DIR platform.

Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/services-students-physical-or-learning-disabilities Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

Assessment is based on a written test with multiple-choice and open-ended questions, aimed at verifying understanding of basic concepts.

• Introduction to AI: definitions, history and evolution • Knowledge representation and automated reasoning • Fundamentals of supervised and unsupervised machine learning • Introduction to deep learning • Natural language processing • Computer vision • Scientific and industrial applications of AI • Ethical and social issues related to AI

Upon completion of the course, students will be able to: *) Describe the historical evolution of AI. *) Distinguish between the main approaches. *) Understand the classic problems of AI. *) Analyze current applications of AI and the main ethical issues related to AI.