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 exercisesModalità 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 exercisesModalità 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 exercisesModalità 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 exercisesModalità Valutazione
Written test.