Offerta formativa anno accademico 2021/2022


Elenco dei corsi/attività primo anno


Eventuali maggiori informazioni per le voci sopra elencate

Lista dei corsi per l'A.A. 2021/22



Title: Scrittura tecnico-scientifica (9^a edizione)
Instructor(s): Emilio Matricciani
When: Feb, 8, 2022; Feb, 9, 2022; Feb, 15, 2022; Feb, 16, 2022;

Title: Game-Theoretic Approach to Planning and Synthesis
Instructor(s): Giuseppe De Giacomo, Antonio Di Stasio, Giuseppe Perelli, Shufang Zhu
When: July, 4, 2022 - July, 8, 2022

Title: Non-Markov Decision Processes and Reinforcement Learning
Instructor(s): Giuseppe De Giacomo, Luca Iocchi, Fabio Patrizi, Alessandro Ronca, Roberto Cipollone, Gabriel Paludo Licks, Elena Umili
When: September\October 2022

Title: Uncertainty and Probability
Instructor(s): Andrea Messina, Giulio D’Agostini
Website: https://sites.google.com/uniroma1.it/uncertainty-and-probability
When: January, 10, 2022

Title: NETWORKED CONTROL SYSTEMS AND SECURITY
Instructor(s): Mauro Franceschelli
Website: https://unica.it/unica/en/ateneo_s07_ss01_sss02.page?mostra_percorsi=S&ANNO_ACCADEMICO=2021&mu=Guide%2FPaginaADErogata.do%3Fad_er_id%3D2021*N0*N0*S2*37088*20842
When: March, 1, 2022 - March, 4, 2022

Title: Artificial Intelligence
Instructor(s): Giorgio Fumera
When: September, 26, 2022 - December, 12, 2022

Title: Machine Learning
Instructor(s): Battista Biggio
Website: https://github.com/unica-ml/ml
When: March, 2022 - May, 2022

Title: Machine Learning Security
Instructor(s): Battista Biggio
Website: https://github.com/unica-mlsec/mlsec
When: March, 2022 - May 2022

Title: Biometric Technologies and Behavioural Security
Instructor(s): Gian Luca Marcialis
When: Starting on February, 28, 2022

Title: Effective habits and skills for successful young scientists
Instructor(s): Fabio Roli
When: June, 2022

Title: Adversarial Machine Learning
Instructor(s): Fabio Roli
When: June, 2022

Title: Mobile Security
Instructor(s): Alessio Merlo, Luca Verderame
When: July, 25, 2022 - July, 29, 2022

Title: Cognitive and conversational agents
Instructor(s): Viviana Mascardi
When: Either in the slot between January 20th, 2022 -- February 15th, 2022, or in late May 2022

Title: High Performance Deep Learning with GPUs
Instructor(s): Sergio Orlandini (CINECA), Giuseppe Fiameni (NVIDIA)
When: May, 30, 2022; May, 31, 2022; June, 1, 2022; June, 6, 2022; June,7, 2022

Title: Learning and Indexing Visual Representations
Instructor(s): Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro (ISTI - CNR)
When: Autumn, 2022.

Title: Diritto e Giustizia dell’Intelligenza Artificiale
Instructor(s): Simona Cacace (docente referente), Andrea Di Porto, Valerio Pescatore, Maurizio Onza, Nadia Maccabiani, Alberto Venturelli, Giorgio Pedrazzi, Andrea Sardini, Marco Ladu.
When: April, 29, 2022; May, 6, 2022; May, 13, 2022; May, 20, 2022; May, 27, 2022;

Title: Digital Medicine
Instructors: Ciro Cattuto, Sebastiano Filetti, Stefano Leonardi
When: March, 7, 2022; March, 8, 2022; March, 14, 2022; March, 15, 2022;March, 21, 2022;March, 22, 2022;

Title: Deep Learning Seminars
Instructors: Simone Scardapane, Fabrizio Silvestri
When: April, 20, 2022; April, 21, 2022; April, 27, 2022; April, 28, 2022;

Title: Foundations of Deep Learning
Instructors: Simone Scardapane, Fabrizio Silvestri
When: June, 13, 2022; June, 14, 2022; June, 15, 2022; June, 16, 2022;

Title: Declarative Problem-solving with Answer Set Programming
Instructor(s): Prof. Francesco Ricca and Prof. Simona Perri
When: April, 2022 - May, 2022

Title: Approximate Computing for low-energy, high-speed and area-efficient digital circuits and systems:
when “good enough” is better than “good”.
Instructor(s): Ing. Fabio Frustaci
When: March, 2022

Title: Hardware for Deep Learning
Instructor(s): Prof. Adam Teman (Bar-Ilan University, Ramat Gan, Israel)
When: April, 2022

Title: Digital technologies and artificial intelligence law (italian)
Instructor(s): Dr. Pasquale Laghi
When: May, 2022

Title: Quantum Computing and its Application to Machine Learning
Instructor(s): Ing. Carlo Mastroianni, Prof. Francesco Plastina
When: May, 2022

Title: Data Stream Mining
Instructor(s): Prof. João Gama (Univ. Di Porto)
When: May, 2022

Title: Modelling and mining multilayer networks
Instructor(s): Prof. Matteo Magnani (Uppsala University)
When: May, 2022

Title: Deep Learning and Statistical Learning
Instructor(s): Dr. Giuseppe Manco
When: July, 2022

Title: Statistical data analysis and signal processing techniques for imaging and non-destructive testing
Instructor(s): Prof. Marco Ricci, Dr. Stefano Laureti
When: July, 2022

Title: Binary Analysis with Applications to Machine and Deep Learning
Instructor(s): : Prof. Antonella Guzzo, Ing. Michele Ianni
When: September, 2022

Title: Active Learning
Instructor(s): Prof. Sergio Flesca, Ing. Eugenio Vocaturo
When: September, 2022 - October, 2022

Title: Numerical Computations on the Infinity Computer
Instructor(s): Ing. Marat Mukhametzhanov
When: June, 2022

Title: Lipschitz Global Optimization
Instructor(s): Prof. Yaroslav Sergeyev
When: April, 2022

Title: Progressive Data Analysis and Visualization
Instructor(s): Marco Angelini

Title: Advanced Topics in Reinforcement Learning: From Theory to Practice
Instructor(s): Roberto Capobianco

Title: Vision and Perception in Human-Robot Interaction
Instructor(s): Thomas Ciarfuglia & Christian Napoli

Title: Thinking outside the box: adversarial behavior and unconventional attack vectors from security research
Instructor(s): Daniele Cono D'Elia & Giuseppe Di Luna

Title: Incomplete Data - Theory in Practice
Instructor(s): Marco Console

Title: Advanced techniques for finding bugs in real-world software
Instructor(s): Emilio Coppa

Title: Digital watermarking and steganography
Instructor(s): Fabrizio d'Amore

Title: High performances computing
Instructor(s): Christian Napoli

Title: Geometric Computer Vision: from Images to 3D Models
Instructor(s): Luca Magri, Federica Arrigoni



For additional details on the courses, refer to the following document

https://docs.google.com/document/d/1vInsxhT1pS5knKBRVcwdoPkHqbXQqfd9/edit?usp=sharing&ouid=101603265975041346542&rtpof=true&sd=true


Modalità di scelta del soggetto della tesi

La scelta del soggetto della tesi viene effettuata dallo studente alla fine del primo anno di corso. Nel periodo marzo-aprile lo studente, oltre a seguire i corsi del suo piano formativo, ha la possibilità di confrontarsi con tutti i membri del collegio, in primis con il supervisore. Entro giugno lo studente presenta una pre-proposta dell'area di ricerca e della tematica della tesi, che consentirà al collegio di definire entro luglio il "panel" per lo studente, costituito da supervisore, co-supervisore e almeno 3 membri oltre i supervisori, per tenere conto delle diversità di sede e di discipline. Entro settembre lo studente presenta la vera e propria proposta di tesi, con una presentazione al collegio che illustra anche le attività annuali condotte.

Modalità delle verifiche per l'ammissione all'anno successivo




Elenco dei corsi/attività secondo anno


Eventuali maggiori informazioni per le voci sopra elencate



Modalità di preparazione della tesi



Modalità delle verifiche per l'ammissione all'anno successivo




Elenco dei corsi/attività terzo anno


Eventuali maggiori informazioni per le voci sopra elencate



Modalità di ammissione all'esame finale



Modalità di svolgimento dell'esame finale


© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma