20810515 - Foundations of Artificial Intelligence

The course aims to present the foundation models, methods and techniques in the areas of Artificial Intelligence, such as problem-solving, search in complex environments, adversarial search, knowledge representation and constraint management. Some toy domains useful for understanding the practical application of the concepts covered in the course will be studied.
Lectures and exercises conducted during the course will allow the student to acquire basic analytical and problem-solving skills on various domains of interest to 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

Attendance

Attendance is not compulsory, but it is strongly recommended.

Type of evaluation

Written test.

teacher profile | teaching materials
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

Attendance

Attendance is not compulsory, but it is strongly recommended.

Type of evaluation

Written test.

teacher profile | teaching materials
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

Attendance

Attendance is not compulsory, but it is strongly recommended.

Type of evaluation

Written test.

teacher profile | teaching materials
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

Attendance

Attendance is not compulsory, but it is strongly recommended.

Type of evaluation

Written test.

teacher profile | teaching materials