Programming

The goal consists of providing to the students the ability of acquiring and expressing the knowledge of a problem domain. The resulting transparent and explicable knowledge will take the form of an ontology, a knowledge tree, and a set of rules to be applied in a neurosymbolic approach (an hybrid AI that would be able to compare, explain and validate an automated solution obtained by machine learning).

1 Introduction: the symbolic approach to the AI 2 The other process of knowledge acquisition 3 Conceptual(static) knowledge: ontologies and knowledge graphs 4. Reasoning (dynamic) knowledge: production rules.

Learning activities: * Theoretical lectures: Mainly oriented to the acquisition of the theoretical knowledge of the subject' competences * Practical lectures: Mainly oriented to problem solving. * Partial exams: Oriented to prove the understanding of theoretical lectures * Practical teamwork: Oriented to prove the understanding of practical lectures, and towards the competences related to work in teams in a practical case. organization and written communication (in written reports) * (online or onsite) Personal Tutoring (asked by email in advance) Methodology: * Oral lectures in classroom * Teamwork * Problem solving