Artificial intelligence
A.A. 2026/2027
Obiettivi formativi
Students will acquire in-depth knowledge and skills in the history of science, with particular focus on the evolution of Artificial Intelligence within Information Technology and its intersection with other sciences.
Risultati apprendimento attesi
Students will acquire the ability to:
- evaluate critically the source of information and the reliability of data in the field of intelligent artificial systems' training and the responses provided by such systems;
- apply reasoning skills in diverse scientific contexts that characterise the developments of Artificial Intelligence and its applications across various sectors;
- use relational, communicative and organisational skills also in highly complex contexts and in the management of group work;
- transmit the skills obtained also in non-specialist contexts;
- reflect on their own skills and evaluations;
- independently investigate a philosophical position or theoretical thesis.
- evaluate critically the source of information and the reliability of data in the field of intelligent artificial systems' training and the responses provided by such systems;
- apply reasoning skills in diverse scientific contexts that characterise the developments of Artificial Intelligence and its applications across various sectors;
- use relational, communicative and organisational skills also in highly complex contexts and in the management of group work;
- transmit the skills obtained also in non-specialist contexts;
- reflect on their own skills and evaluations;
- independently investigate a philosophical position or theoretical thesis.
Periodo: Primo semestre
Modalità di valutazione: Esame
Giudizio di valutazione: voto verbalizzato in trentesimi
Corso singolo
Questo insegnamento può essere seguito come corso singolo.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Primo semestre
Programma
Program for attending and non-attending students
Intelligent systems: characteristics, differentiations between biological and artificial systems.
History of AI (Artificial Intelligence). Logics. Boolean Logic: application in AI (exercises). GOFAI, strong and weak AI: supporters, motivations, supporting tests. The Turing Test: principles and exercises. Criticism of the Turing Test: Searle and Others. AI philosophy: the main exponents.
Artificial intelligence and machine learning: machine learning. Mathematical models, algorithms, examples.
Artificial systems that are inspired by biological ones. Genetic algorithms, an overview. Artificial Neural Networks. Brain-Computer Interface. Theoretical models and practical examples.
Online environment available at: https://rfolgieriai.ariel.ctu.unimi.it/v5/Home/default.aspx
Students taking the 6 cfu syllabus must attend the first 40 hours of lectures, those taking the 9 cfu syllabus attend the full 60 hours of lectures.
Lecture recording: No
Teaching proposal for non-attending students: 2 lectures dedicated to non-attending students by videoconference (Teams).
These lectures will be remote, recorded and made available in the online environment. Full details in https://rfolgieriai.ariel.ctu.unimi.it/v5/Home/default.aspx
Validity of the programme: 1 academic year, as per teaching regulations of the degree course
Intelligent systems: characteristics, differentiations between biological and artificial systems.
History of AI (Artificial Intelligence). Logics. Boolean Logic: application in AI (exercises). GOFAI, strong and weak AI: supporters, motivations, supporting tests. The Turing Test: principles and exercises. Criticism of the Turing Test: Searle and Others. AI philosophy: the main exponents.
Artificial intelligence and machine learning: machine learning. Mathematical models, algorithms, examples.
Artificial systems that are inspired by biological ones. Genetic algorithms, an overview. Artificial Neural Networks. Brain-Computer Interface. Theoretical models and practical examples.
Online environment available at: https://rfolgieriai.ariel.ctu.unimi.it/v5/Home/default.aspx
Students taking the 6 cfu syllabus must attend the first 40 hours of lectures, those taking the 9 cfu syllabus attend the full 60 hours of lectures.
Lecture recording: No
Teaching proposal for non-attending students: 2 lectures dedicated to non-attending students by videoconference (Teams).
These lectures will be remote, recorded and made available in the online environment. Full details in https://rfolgieriai.ariel.ctu.unimi.it/v5/Home/default.aspx
Validity of the programme: 1 academic year, as per teaching regulations of the degree course
Prerequisiti
Basic knowledge of statistics and logic. Familiarity with computer systems. Basic knowledge of simple mathematical expressions (representation of functions).
Metodi didattici
Theoretical and practical lessons, class discussions, analysis of research works.
Materiale di riferimento
· "ARTIFICIAL INTELLIGENCE - Vol. 2, a modern approach", 2nd edition, by Peter Norvig and Stuart Russel, published by Pearson
· Lecture notes by the teacher
· Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements
· Other material communicated from time to time in class
· Lecture notes by the teacher
· Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements
· Other material communicated from time to time in class
Modalità di verifica dell’apprendimento e criteri di valutazione
Midterm tests and oral discussion aiming at verifying the acquired knowledge. Students are expected to show a deep understanding of problems related to AI and the ability to discuss and compare different perspectives related to the discipline, also in the light of philosophy approaches.
Students are also expected to be able to communicate properly the acquired knowledge.
Students are also expected to be able to communicate properly the acquired knowledge.
Moduli o unità didattiche
Parte A e B
INFO-01/A - Informatica - CFU: 6
Lezioni: 40 ore
Parte C
INFO-01/A - Informatica - CFU: 3
Lezioni: 20 ore
Docente/i
Ricevimento:
Mercoledì, ore 11.00. Date le circostanze, il ricevimento può avvenire anche via Skype o Teams (prendere contatti via e-mail)
Teams, Skype o Dipartimento di Filosofia, cortile Ghiacciaia, via Festa del Perdono 7 (previo appuntamento via e-mail)