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

teacher profile | teaching materials

Core Documentation

Lecture notes by the professor.

Reference Bibliography

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

Type of delivery of the course

Lessons and exercises

Type of evaluation

Written test.

teacher profile | teaching materials

Core Documentation

Lecture notes by the professor.

Reference Bibliography

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

Type of delivery of the course

Lessons and exercises

Type of evaluation

Written test.

teacher profile | teaching materials

Core Documentation

Lecture notes by the professor.

Reference Bibliography

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

Type of delivery of the course

Lessons and exercises

Type of evaluation

Written test.

teacher profile | teaching materials

Core Documentation

Lecture notes by the professor.

Reference Bibliography

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

Type of delivery of the course

Lessons and exercises

Type of evaluation

Written test.