20801730 - ARTIFICIAL INTELLIGENCE

The goal is to present the fundamental models, methods and techniques of various areas of Artificial Intelligence, with particular reference to heuristic search, knowledge representation and automatic reasoning, machine learning, natural language processing, computer vision. The lessons and practical exercises carried out during the course will allow the student to acquire analytical and problem solving skills on various domains of interest for the discipline.

Curriculum

scheda docente | materiale didattico

Testi Adottati

Lecture notes by the professor.

Bibliografia Di Riferimento

S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.

Modalità Erogazione

Lessons and exercises

Modalità Valutazione

Written test.

scheda docente | materiale didattico

Testi Adottati

Lecture notes by the professor.

Bibliografia Di Riferimento

S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.

Modalità Erogazione

Lessons and exercises

Modalità Valutazione

Written test.

scheda docente | materiale didattico

Testi Adottati

Lecture notes by the professor.

Bibliografia Di Riferimento

S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.

Modalità Erogazione

Lessons and exercises

Modalità Valutazione

Written test.

scheda docente | materiale didattico

Testi Adottati

Lecture notes by the professor.

Bibliografia Di Riferimento

S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 4/Ed (2020). Pearson Education.

Modalità Erogazione

Lessons and exercises

Modalità Valutazione

Written test.