ARTIFICIAL INTELLIGENCE
Stampa
Anno immatricolazione
2021/2022
Anno offerta
2021/2022
Normativa
DM270
SSD
ING-INF/05 (SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI)
Dipartimento
DIPARTIMENTO DI FISICA
Corso di studio
SCIENZE FISICHE
Curriculum
Fisica delle tecnologie quantistiche
Anno di corso
Periodo didattico
Primo Semestre (04/10/2021 - 19/01/2022)
Crediti
6
Ore
45 ore di attività frontale
Lingua insegnamento
English
Tipo esame
ORALE
Docente
PIASTRA MARCO (titolare) - 6 CFU
Prerequisiti

Basic mathematical skills, practical knowledge of at least one programming language.
Obiettivi formativi

The course follows a conceptual pathway along the fundamental principles of the discipline. It is divided into two parts: the first part is an introduction to classical formal logic, both propositional and first order, with a special focus to the aspects of automatic calculus, while the second part is an introduction to the basic principles of machine learning from a probabilistic perspective.
Programma e contenuti

1) Classical logic and automated symbolic reasoning

Boolean algebras
Logical language and semantical structures: logical consequence
Deductive systems for propositional logic
Decision problems and decidability
Predicates and relations: first order logic
Semi-decidability of first order logic
First-order resolution with unification

2) Machine Learning

Logic and probability: representation or statistics?
The language of probability: representation
Bayesian inference
Graphical models and automation
Probabilistic learning
Clustering: K-means, EM algorithm, missing data.
Causal models, probabilistic and structural.
Reinforcement Learning.
Metodi didattici

Lectures (hours/year in lecture theatre): 4.5
Practical class (hours/year in lecture theatre): 0
Practicals / Workshops (hours/year in lecture theatre): 0
Testi di riferimento

See the home page of the course (http://vision.unipv.it/AI) for lecture slides, suggested readings and software for the exercises.
Modalità verifica apprendimento

The final exam is an interview about the theory, together with the discussion of practical activities shown during lessons.
Altre informazioni
Obiettivi Agenda 2030 per lo sviluppo sostenibile