Lectures, Lab & Seminars
Lectures
Lecure slides will be updated as the course progresses:
Everybody reads, Authenticated users write
Books & Papers
Reference Books
About AI in general:
Program and Evaluation Process
Program:
The course features both regular lectures and lab sessions. For each of the considered topics, a lab session will be scheduled after the lectures, so as to provide a chance to learn the software systems related to the presented topic. The techniques discussed in this course represent the state of the art of scientific research in Artificial Intelligence: for each of the consdidered topic, the students will be referred to survey paper that provide a good overview of state of the art research.
Lectures, Lab & Seminars
Slides for the seminar will be downloadable from the dedicate page on the course web site.
Lectures
Lecure slides will be published as the course progresses:
Books & Papers
Reference Books
About AI in general:
Program and Evaluation Process
Program:
The course features both regular lectures and lab sessions. For each of the considered topics, a lab session will be scheduled after the lectures, so as to provide a chance to learn the software systems related to the presented topic. The techniques discussed in this course represent the state of the art of scientific research in Artificial Intelligence: for each of the consdidered topic, the students will be referred to survey paper that provide a good overview of state of the art research.
Intelligent Systems
This web site is dedicated to the Intelligent Systems M course. The web site aims at providing the students with access to information related to the goals, contents, texts and assessment criteria of the course.
Course schedule: see the information system of the School of Engineering.
DeepOpt - Encoding Deep Networks in Combinatorial Optimization Models
DeepOpt - Encoding Deep Networks in Combinatorial Optimization Models
Google Faculty Research Award
Principal investigators: Michela Milano, Michele Lombardi
Temi d'esame
Temi d'esame del vecchio corso di Applicazioni di Intelligenza Artificiale
ATTENZIONE: questi temi provengono dal vecchio corso di Applicazioni di Intelligenza Artificiale e differiscono dalle prove d'esame correnti principalmente per l'esercizio di Programmazione a Vincoli (vedi esempi a seguire).