Degree Course: Telecommunications engineering
A.Y. 2024/2025
Conoscenza e capacità di comprensione
I laureati acquisiranno conoscenze relative agli insegnamenti caratterizzanti l'area dell'ingegneria delle Telecomunicazioni e conoscenze di contesto in altri settori dell'ingegneria dell'informazione.
Questi obiettivi saranno perseguiti attraverso gli insegnamenti relativi alle attività formative caratterizzanti la laurea magistrale e la verifica della conoscenza e comprensione avverrà attraverso le relative prove di valutazione.Capacità di applicare conoscenza e comprensione
I laureati saranno in grado di applicare le conoscenze acquisite alla risoluzione di problemi nell'area delle telecomunicazioni, conducendo in autonomia attività di analisi, progettazione, realizzazione e gestione di sistemi di media complessità, e partecipando proficuamente a quelle relative a sistemi di grande complessità.
Gli obiettivi succitati saranno perseguiti attraverso gli insegnamenti acontenuto più marcatamente progettuale e sperimentale, attraverso la partecipazione ad attività di tirocinio ed attraverso la conduzione di esperienze in ambito laboratoriale e aziendale, con l'applicazione delle diverse competenze acquisite per la realizzazione di possibili progetti.
Tali obiettivi saranno verificati attraverso le prove di valutazione relative ai predetti insegnamenti, attraverso l'analisi delle attività di tirocinio e stage svolte, e con la valutazione della prova finale di laurea.Autonomia di giudizio
Nell'ambito delle proprie competenze i laureati saranno in grado di assumere decisioni autonome in progetti anche di grandi dimensioni e di partecipare attivamente alle responsabilità di decisione in contesti multidisciplinari.
Tale obiettivo sarà perseguito tramite i corsi di insegnamento ad orientamento progettuale e la tesi di laurea magistrale e sarà verificato con gli esami di profitto e l'esame di laurea magistrale.Abilità comunicative
I laureati magistrali saranno in grado di comunicare in maniera efficace le proprie idee e interagire su argomenti e tematiche sia strettamente disciplinari che interdisciplinari, anche ad alto livello.
Tale obiettivo sarà perseguito attraverso gli esami, gli eventuali tirocinii e la prova finale di laurea e sarà verificato con gli esami di profitto e l'esame di laurea magistrale.Capacità di apprendimento
I laureati saranno in grado di aggiornarsi professionalmente in maniera autonoma, mentre gli studenti migliori e più motivati potranno procedere anche nel campo della ricerca scientifica.
Tale obiettivo sarà perseguito attraverso l'introduzione di componenti seminariali, di ricerca bibliografica e di elementi di ricerca scientifica all'interno di specifici corsi di insegnamento e attraverso la tesi di laurea magistrale.
Sarà verificato attraverso i relativi esami di profitto e l'esame di laurea magistrale.Requisiti di ammissione
Per l'accesso alla Laurea magistrale in Ingegneria delle Telecomunicazioni è richiesto il possesso delle lauree di primo livello nella Classe dell'Ingegneria dell'Informazione (L-8 o equipollenti).
Il Collegio Didattico effettua una verifica obbligatoria dell'adeguatezza della preparazione personale come di seguito specificato.
L'iscrizione di studenti con laurea triennale diversa da quelle specificate, o di Laurea conseguita in paese estero, è valutata dal Collegio Didattico sulla base del curriculum di studi dello studente.
Eventuali carenze curriculari, individuate dal Collegio Didattico, dovranno essere colmate prima dell'immatricolazione attraverso l'iscrizione a singoli insegnamenti e il superamento dei relativi esami.
È inoltre richiesta allo studente un'adeguata padronanza di metodi e contenuti scientifici generali nelle discipline scientifiche di base e nelle discipline dell'ingegneria, propedeutiche a quelle caratterizzanti previste nell'ordinamento della presente classe di laurea magistrale e di essere capace di comunicare efficacemente, in forma scritta e orale, in lingua inglese.
Il riconoscimento dell'idoneità linguistica è effettuato sulla base del superamento di prove di verifica svolte presso il Centro Linguistico di Ateneo di Roma Tre o dell'Ateneo di provenienza.Prova finale
La laurea magistrale in Ingegneria delle Telecomunicazioni si consegue previo superamento di una prova finale, che consiste nello sviluppo, da parte dello studente, con la guida di un Docente, il relatore, e da eventuali Co-relatori, di un lavoro, la tesi di Laurea, in forma di elaborato scritto, avente carattere innovativo e che affronti aspetti di analisi e/o di sintesi relativi ad argomenti coerenti con gli obiettivi formativi del corso di studio.
La tesi ha lo scopo di effettuare una verifica del livello di apprendimento dei contenuti tecnici e scientifici da parte del candidato, la sua capacità di operare in modo autonomo, il suo livello di organizzazione, di comunicazione e di innovazione nell'analisi e sintesi di progetti complessi.
Tale attività può essere svolta sia nei laboratori dell'Ateneo, sia presso aziende o enti di ricerca in Italia e all'estero.Orientamento in ingresso
Il Collegio Didattico di Ingegneria Elettronica, struttura didattica competente per il presente Corso di Studio, svolge, in sinergia con il Dipartimento, intense attività di orientamento finalizzate sia all'incremento delle immatricolazioni sia a favorire lo sviluppo di una maggiore consapevolezza da parte degli studenti nel compiere scelte coerenti con le proprie conoscenze, competenze, attitudini e aspettative.
Attività di coordinamento a livello di Ateneo e di Dipartimento
Il coordinamento è affidato all'Ufficio orientamento che elabora le attività di orientamento in entrata lavorando in stretta collaborazione con il Delegato del Rettore alle politiche di orientamento ed il GLOA (Gruppo di Lavoro per l'Orientamento di Ateneo).
L'ufficio cura i rapporti tra le scuole medie superiori e l'Università Roma Tre, coordina e realizza attività rivolte agli studenti, come il progetto Autorientamento e le Giornate di Vita Universitaria e partecipa alle manifestazioni di orientamento realizzate presso l'Ateneo, come Orientarsi a Roma Tre o esterne come il Salone dello studente.
Inoltre cura la redazione delle Guide dell'offerta formativa e il periodico di Ateneo, Roma Tre News.
Tali attività sono mirate agli immatricolandi delle Lauree di primo livello ma forniscono anche informazioni sui percorsi completi, includendo le Lauree Magistrali e i relativi obiettivi formativi, percorsi e sbocchi professionali.
• Salone dello Studente a ottobre – novembre di ogni anno l'Ufficio orientamento partecipa all'evento organizzato da Campus presso la Nuova Fiera di Roma.
Il 17-19 ottobre 2023 è stato affittato uno stand lineare lungo 8 mt e organizzato con dei monitor dove giravano i PPT elaborati dall'Ufficio.
Sono stati distribuiti 8000 zaini e 8000 guide di Ateneo e bigliettini QR code.
Sono stati incontrati nelle aule più di 1.500 studenti in presenza e on line.
• Open Day Magistrali tra aprile e maggio 2023 è stata organizzata la prima edizione del progetto che ha visto lo sviluppo di 13 eventi dipartimentali utili a presentare l'Offerta magistrale e il post lauream.
Hanno partecipato 857 studenti, soprattutto di Roma Tre.
I servizi di orientamento online messi a disposizione dei futuri studenti universitari sono nel tempo aumentati, tenendo conto dello sviluppo delle nuove opportunità di comunicazione tramite web.
Inoltre, durante tutte le manifestazioni di presentazione dell'offerta formativa, sono illustrati quei siti web di Dipartimento, di Ateneo, Portale dello studente, etc., che possono aiutare gli studenti nella loro scelta.
Attività di orientamento per il CdS a livello di Collegio Didattico
Il Collegio Didattico organizza con cadenza annuale una giornata di orientamento dedicata a illustrare ai potenziali studenti di Laurea Magistrale (studenti del secondo e terzo anno della Laurea Triennale in Ingegneria Elettronica, di cui il Collegio Didattico è struttura didattica competente) i percorsi formativi successivi e quindi a fornire un supporto per l'orientamento consapevole dello studente verso le lauree di secondo livello pertinenti, offerte dal Dipartimento, tra cui quella del presente CdS.
Durante questi incontri, il coordinatore del CdS e docenti di riferimento illustrano il regolamento didattico ed il manifesto fornendo una panoramica sugli insegnamenti comuni a tutti gli studenti, i percorsi didattici e le attività a scelta dello studente.
E' inoltre fornito agli studenti materiale informativo a carattere divulgativo sotto forma di brochure che illustra le principali caratteristiche delle lauree e i relativi sbocchi professionali.
L'attività di orientamento qui illustrata è affiancata dall'utilizzo del sito web del collegio didattico ove è data evidenza al Regolamento didattico dei vari CdS.
Il sito web è costantemente aggiornato e video esplicativi dei differenti percorsi sono pubblicati a beneficio dello studente.Il Corso di Studio in breve
Il Corso di Laurea Magistrale è finalizzato alla formazione di un Ingegnere in grado di gestire l'intero ciclo di vita sia di apparati e di sistemi, sia di servizi ad alto valore aggiunto, connessi con l'acquisizione, il trattamento, la consultazione da remoto, la trasmissione e la diffusione delle informazioni in un'ampia varietà di modi e di forme, garantendo livelli adeguati di sicurezza e riservatezza.
A tal fine l'Ingegnere magistrale dovrà essere in grado di svolgere sia attività complesse di progettazione sia attività direzionali di pianificazione, organizzazione, guida, coordinamento e controllo connesse con la produzione di beni e l'erogazione di servizi del settore delle Tecnologie della comunicazione e dell'informazione.
Dovrà essere, pertanto, in grado di identificare, formulare e risolvere, in modo innovativo ed economico e con approccio interdisciplinare, problemi di pianificazione, progettazione, ingegnerizzazione, produzione e monitoraggio delle prestazioni, sia tecniche che economiche, di componenti, dispositivi, apparati, sistemi e servizi connessi con il trattamento e la trasmissione dell'informazione.
Al termine del ciclo di studi dovrà conoscere approfonditamente le teorie, le metodologie, le tecniche e le tecnologie specifiche dell'Ingegneria dei campi elettromagnetici e delle telecomunicazioni, oltre alle teorie e metodologie matematiche, le scienze fisiche ed ingegneristiche, con particolare riguardo all'area dell'ingegneria dell'informazione, alle tecnologie elettromagnetiche, elettroniche, informatiche, dell'intelligenza artificiale, alle tecniche di organizzazione aziendale, alle teorie e metodologie per l'analisi di mercato e le valutazioni economiche relative a beni e servizi connessi con la trasmissione e la diffusione delle informazioni.
Lo studente espliciterà le proprie scelte al momento della presentazione,
tramite il sistema informativo di ateneo, del piano di completamento o del piano di studio individuale,
secondo quanto stabilito dal regolamento didattico del corso di studio.
Applied Artificial Intelligence
FIRST YEAR
First semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810540 -
ANTENNAS AND WIRELESS PROPAGATION
(objectives)
The course is designed in order to approach the study of antennas on =the basis of the typical knowledge acquired in the Laurea degree courses. I=n particular the study and design of aperture antennas, planar antennas and antenna alignments is accomplishí. It also introduces the problem of electromagnetic scattering both from =structures present in the environment and from scatterers present in the gr=ound. Finally, it is proposed to address the study of the propagation of radio waves and microwaves in the êrth's atmosphere. Areas of application: biomedical, electrical, electroni=c and telecommunications industries.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810544 -
DIGITAL SIGNAL PROCESSING
(objectives)
Acquiring specific knowledge on both deterministic and statistical methodologies that allow to analyze and transmit signals. Providing an overview of most employed algorithms for processing, statistical analysis, and detection of signals and images. Describing basic operating concepts and typical application examples in the fields of telecommunications and remote sensing. Providing students with SW tools to perform optimum linear and non-linear digital processing of signals and images.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20810550 -
NEW GENERATION MOBILE SYSTEMS
|
|
20810550-1 -
DIGITAL COMMUNICATIONS
(objectives)
The course allows you to acquire specific knowledge of the basic techniques for transmitting information on digital connections and the principal methodologies for designing point-to-point and point-to-multipoint connections using digital techniques.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20810550-2 -
5G COMMUNICATIONS AND BEYOND
(objectives)
The course aims to address fundamental aspects about telecommunication systems, starting from 5G mobile and looking at future developments (Beyond 5G - B5G). It covers system aspects such as the cellular scheme, radio network access and modulations, radio channel modelling, radio transmission algorithms, optimum signal processing, and performance analyses. Finally, it illustrates several cross-layer application problems such as security and privacy in mobile communications, as well as techniques for hidden communications and fast algorithms for signal and transmitting source detection.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
Second semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810338 -
ADVANCED ENGINEERING ELECTROMAGNETICS
(objectives)
The course aims at learning advanced knowledge on the interaction between electromagnetic field and natural, artificial and living matter. This knowledge is useful for the analysis and design of electromagnetic systems oriented for applications in circuits, devices, and systems for electronics, bio-engineering and telecommunications.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810549 -
ARTIFICIAL INTELLIGENCE
|
|
20810549-1 -
ARTIFICIAL INTELLIGENCE: ALGORITHMS AND METHODS
(objectives)
The course aims to introduce students to the field of artificial intelligence starting from the study of basic algorithms in their intimate nature. After an initial overview of the state of the art, the student will be guided in the low-level study of the functioning of machine learning algorithms to then be able to develop prediction mechanisms even for higher levels of abstraction. At the end of the course, the student will be able to analyse, design and create an Artificial Intelligence system applied to a specific problem.
|
6
|
ING-IND/31
|
48
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20810549-2 -
DESIGN OF LEARNING ALGORITHMS
(objectives)
The main objective of the course is to provide students with a solid theoretical basis on the design and implementation of machine learning algorithms. Students will learn to design and implement supervised, unsupervised, and reinforcement learning algorithms, and to apply nonlinear optimization principles to improve the performance of machine learning algorithms. Upon completion of the course, students will be able to design and implement customized learning algorithms for specific problems and domains.
|
6
|
ING-IND/31
|
48
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20810546 -
METAVERSE AND ARTIFICIAL INTELLIGENCE
(objectives)
The objective of the course is to provide the knowledge necessary for the design, development and testing of complex applications and systems based on the creation, processing, transmission and rendering of multimedia signals that, by stimulating multiple senses, return a multi-user immersive experience. The metaverse will be used as an application framework. Within this framework, key aspects of security, threats and vulnerabilities, access control and blockchain management will also be analyzed.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20810545 -
INFORMATION THEORY
(objectives)
Acquisition of theoretical background in information theory, methodologies, and technologies for source coding of mono and multimedia signals to reduce redundancy for lossless and lossy information. Acquisition of theoretical background, methodologies, and technologies for channel coding, i.e., to protect digital communications against errors caused by distortions and noise. Case study to multimedia and multisensorial systems.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
Optional Group:
Insegnamenti a scelta - (show)
|
9
|
|
|
|
|
|
|
|
20802093 -
PROGRAMMABLE ELECTRONIC SYSTEMS
(objectives)
The course allows the students to acquire the knowledge and the ability to apply design techniques for digital systems in general and in particular with programmable platforms. The course analyzes the typical structure and the technology of modern programmable electronic components, develops the ability to design a digital electronic system from specifications to implementation and experimental verification of the behavior, the ability to draft a technical report on the design and characterization of a component or digital electronic system.
|
9
|
ING-INF/01
|
72
|
-
|
-
|
-
|
Elective activities
|
ITA |
20810554 -
ETHICAL HACKING
(objectives)
This course provides an introduction to ethical hacking, which involves attempting to penetrate secure systems in order to demonstrate vulnerability so that steps can be taken to mitigate the risk. Students will develop an understanding of some of the techniques that can be used to assess the security of information-sharing systems and networks, and to defend against threats to those systems through physical and electronic means. Learning Outcomes.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Elective activities
|
ENG |
21210000 -
A SCELTA STUDENTE
(objectives)
To complete their Study Plan, students can choose from additional courses offered in this "Laurea Magistrale" (Master's degree) or courses offered in the other active "Laurea Magistrale" degrees (Master's degrees) of this University.
|
9
|
|
72
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
SECOND YEAR
First semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810541 -
ADVANCED ANTENNA ENGINEERING
(objectives)
Antennas are fundamental components of modern wireless communication systems for smart environments such as pervasive systems for distributed information and computing, advanced space systems, intelligent transportation systems. This course aims at providing a selection of advanced topics, including analytical and numerical techniques, in antenna engineering from microwave to THz bands: theory and applications of periodic structures; resonant and traveling-wave antennas for terrestrial and space communication systems; smart and MIMO antenna arrays; innovative materials for reconfigurable antennas; introduction to numerical techniques based on differential formulations (finite differences in time and frequency) and on boundary integral formulations (method of moments). The main commercial CAD tools for antennas based on the above numerical techniques will also be illustrated.
|
6
|
ING-INF/02
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810542 -
ARTIFICIAL INTELLIGENCE FOR ELECTROMAGNETIC TECHNOLOGIES
(objectives)
The course aims to integrate Artificial Intelligence into electromagnetic technologies, developing skills to optimize systems and devices, solve complex problems, and innovate in analysis and design of electromagnetic components, preparing students for the future challenges.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810548 -
BIOMETRICS AND MULTISENSORIAL INTERACTION
(objectives)
The course aims to provide the necessary instruments for analyzing and designing biometric systems. In addition, multisensory information derived from different sensory organs will be exploited in the biometric framework. Unimodal and multimodal systems will be addressed. It comprehensively addresses the principles of including the needed security and privacy requirements in the system's project. New notions learned during the course will be brought to fruition by realizing a functioning biometric system during the lab activity.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
Second semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810547 -
ARTIFICIAL INTELLIGENCE FOR SIGNAL PROCESSING
(objectives)
The course introduces the fundamental principles and methods used in artificial intelligence, including the main machine learning and deep learning paradigms, with a specific focus on the approaches aiming to unveil the relevant information hidden in signals collected in real-world applications, such as those associated with electrical and mechanical sensors, audio and speech, images and videos, or biological and medical records, among many others.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20802015 -
TRAINING
(objectives)
The Student must carry out a period of training and orientation called internship, aimed at experimenting and developing the technical and methodological skills acquired during the studies, as well as facilitating professional choices, through the direct knowledge of the industrial reality.
|
6
|
|
150
|
-
|
-
|
-
|
Other activities
|
ITA |
20801954 -
FINAL EXAM
(objectives)
The Master's degree is awarded after passing a final exam, which consists in defending a written report (the Master's thesis) on a work activity developed by the candidate, under the guidance of a supervisor, and possibly of other co-supervisors, of an innovative nature, and concerning aspects of analysis and/or synthesis associated with topics relevant to the learning outcomes of the Master's degree program. The final exam aims to verify the candidate's level of learning of the technical and scientific contents, her/his ability to work independently, and her/his level of organisation, communication and innovation in the analysis and synthesis of complex projects. The activities carried out during the preparation of the thesis work may be performed in the University's laboratories and in companies or research bodies in Italy and abroad.
|
12
|
|
300
|
-
|
-
|
-
|
Final examination and foreign language test
|
ITA |
Wireless Technologies
FIRST YEAR
First semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810540 -
ANTENNAS AND WIRELESS PROPAGATION
(objectives)
The course is designed in order to approach the study of antennas on =the basis of the typical knowledge acquired in the Laurea degree courses. I=n particular the study and design of aperture antennas, planar antennas and antenna alignments is accomplishí. It also introduces the problem of electromagnetic scattering both from =structures present in the environment and from scatterers present in the gr=ound. Finally, it is proposed to address the study of the propagation of radio waves and microwaves in the êrth's atmosphere. Areas of application: biomedical, electrical, electroni=c and telecommunications industries.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810551 -
DEVICES FOR WIRELESS SYSTEMS
|
Also available in another semester or year
|
20810544 -
DIGITAL SIGNAL PROCESSING
(objectives)
Acquiring specific knowledge on both deterministic and statistical methodologies that allow to analyze and transmit signals. Providing an overview of most employed algorithms for processing, statistical analysis, and detection of signals and images. Describing basic operating concepts and typical application examples in the fields of telecommunications and remote sensing. Providing students with SW tools to perform optimum linear and non-linear digital processing of signals and images.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20810550 -
NEW GENERATION MOBILE SYSTEMS
|
|
20810550-1 -
DIGITAL COMMUNICATIONS
(objectives)
The course allows you to acquire specific knowledge of the basic techniques for transmitting information on digital connections and the principal methodologies for designing point-to-point and point-to-multipoint connections using digital techniques.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20810550-2 -
5G COMMUNICATIONS AND BEYOND
(objectives)
The course aims to address fundamental aspects about telecommunication systems, starting from 5G mobile and looking at future developments (Beyond 5G - B5G). It covers system aspects such as the cellular scheme, radio network access and modulations, radio channel modelling, radio transmission algorithms, optimum signal processing, and performance analyses. Finally, it illustrates several cross-layer application problems such as security and privacy in mobile communications, as well as techniques for hidden communications and fast algorithms for signal and transmitting source detection.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
Second semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810338 -
ADVANCED ENGINEERING ELECTROMAGNETICS
(objectives)
The course aims at learning advanced knowledge on the interaction between electromagnetic field and natural, artificial and living matter. This knowledge is useful for the analysis and design of electromagnetic systems oriented for applications in circuits, devices, and systems for electronics, bio-engineering and telecommunications.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810549 -
ARTIFICIAL INTELLIGENCE
|
|
20810549-1 -
ARTIFICIAL INTELLIGENCE: ALGORITHMS AND METHODS
(objectives)
The course aims to introduce students to the field of artificial intelligence starting from the study of basic algorithms in their intimate nature. After an initial overview of the state of the art, the student will be guided in the low-level study of the functioning of machine learning algorithms to then be able to develop prediction mechanisms even for higher levels of abstraction. At the end of the course, the student will be able to analyse, design and create an Artificial Intelligence system applied to a specific problem.
|
6
|
ING-IND/31
|
48
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20810549-2 -
DESIGN OF LEARNING ALGORITHMS
(objectives)
The main objective of the course is to provide students with a solid theoretical basis on the design and implementation of machine learning algorithms. Students will learn to design and implement supervised, unsupervised, and reinforcement learning algorithms, and to apply nonlinear optimization principles to improve the performance of machine learning algorithms. Upon completion of the course, students will be able to design and implement customized learning algorithms for specific problems and domains.
|
6
|
ING-IND/31
|
48
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
20810552 -
ELECTROMAGNETIC COMPATIBILITY
(objectives)
The aim of this course is to provide a solid understanding of the mechanisms underlying electromagnetic interference, the fundamental concepts related to both radiated and conducted emissions, and the basic principles of crosstalk. Additionally, the course equips students with the necessary skills to comprehend and design electromagnetic shielding and absorption devices, as well as to tackle challenges associated with measurement techniques in this field.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810545 -
INFORMATION THEORY
(objectives)
Acquisition of theoretical background in information theory, methodologies, and technologies for source coding of mono and multimedia signals to reduce redundancy for lossless and lossy information. Acquisition of theoretical background, methodologies, and technologies for channel coding, i.e., to protect digital communications against errors caused by distortions and noise. Case study to multimedia and multisensorial systems.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20810553 -
WIRELESS NETWORKING AND IOT
|
Also available in another semester or year
|
Optional Group:
Insegnamenti a scelta - (show)
|
9
|
|
|
|
|
|
|
|
20802093 -
PROGRAMMABLE ELECTRONIC SYSTEMS
(objectives)
The course allows the students to acquire the knowledge and the ability to apply design techniques for digital systems in general and in particular with programmable platforms. The course analyzes the typical structure and the technology of modern programmable electronic components, develops the ability to design a digital electronic system from specifications to implementation and experimental verification of the behavior, the ability to draft a technical report on the design and characterization of a component or digital electronic system.
|
9
|
ING-INF/01
|
72
|
-
|
-
|
-
|
Elective activities
|
ITA |
20810554 -
ETHICAL HACKING
(objectives)
This course provides an introduction to ethical hacking, which involves attempting to penetrate secure systems in order to demonstrate vulnerability so that steps can be taken to mitigate the risk. Students will develop an understanding of some of the techniques that can be used to assess the security of information-sharing systems and networks, and to defend against threats to those systems through physical and electronic means. Learning Outcomes.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Elective activities
|
ENG |
21210000 -
A SCELTA STUDENTE
(objectives)
To complete their Study Plan, students can choose from additional courses offered in this "Laurea Magistrale" (Master's degree) or courses offered in the other active "Laurea Magistrale" degrees (Master's degrees) of this University.
|
9
|
|
72
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
SECOND YEAR
First semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810541 -
ADVANCED ANTENNA ENGINEERING
(objectives)
Antennas are fundamental components of modern wireless communication systems for smart environments such as pervasive systems for distributed information and computing, advanced space systems, intelligent transportation systems. This course aims at providing a selection of advanced topics, including analytical and numerical techniques, in antenna engineering from microwave to THz bands: theory and applications of periodic structures; resonant and traveling-wave antennas for terrestrial and space communication systems; smart and MIMO antenna arrays; innovative materials for reconfigurable antennas; introduction to numerical techniques based on differential formulations (finite differences in time and frequency) and on boundary integral formulations (method of moments). The main commercial CAD tools for antennas based on the above numerical techniques will also be illustrated.
|
6
|
ING-INF/02
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810551 -
DEVICES FOR WIRELESS SYSTEMS
(objectives)
The aim of the course is to provide the fundamentals for the design and the analysis of circuits and components of new-generation wireless systems addressing applications of communication and sensing.
|
6
|
ING-INF/02
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
20810543 -
METAMATERIALS AND METASURFACES FOR WAVE ENGINEERING
(objectives)
The goal of this course is to provide a solid understanding of the electromagnetic behavior of artificial materials, metamaterials, and metasurfaces. Additionally, the course equips students with the necessary skills to comprehend and design innovative high-tech devices based on the anomalous interaction between electromagnetic waves and metastructures. Finally, the course provides the skills required to verify the proper functioning of metastructures through advanced numerical simulations.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
Second semester
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
20810553 -
WIRELESS NETWORKING AND IOT
(objectives)
This course introduces the fundamentals of wireless networks for device- to-device (D2D) communications and presents the new emerging technologies for advances wireless communication systems. The main objectives of this course are (i) basics on wireless technologies, especially in new emerging scenarios such as Beyond5G (B5G), and (ii) the skill to apply this information for service development in Internet of Things (IoT) context. In particular, we will study the WiFi technology, the D2D communications and new emerging technologies such as Massive MIMO, mmWave, optical wireless communications, etc. For different application scenarios (e.g., smart city, smart car, environmental monitoring), we will investigate the main networking issues and techniques, the wireless technologies, as well as the performance results and open issues.
|
6
|
ING-INF/03
|
48
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
20802015 -
TRAINING
(objectives)
The Student must carry out a period of training and orientation called internship, aimed at experimenting and developing the technical and methodological skills acquired during the studies, as well as facilitating professional choices, through the direct knowledge of the industrial reality.
|
6
|
|
150
|
-
|
-
|
-
|
Other activities
|
ITA |
20801954 -
FINAL EXAM
(objectives)
The Master's degree is awarded after passing a final exam, which consists in defending a written report (the Master's thesis) on a work activity developed by the candidate, under the guidance of a supervisor, and possibly of other co-supervisors, of an innovative nature, and concerning aspects of analysis and/or synthesis associated with topics relevant to the learning outcomes of the Master's degree program. The final exam aims to verify the candidate's level of learning of the technical and scientific contents, her/his ability to work independently, and her/his level of organisation, communication and innovation in the analysis and synthesis of complex projects. The activities carried out during the preparation of the thesis work may be performed in the University's laboratories and in companies or research bodies in Italy and abroad.
|
12
|
|
300
|
-
|
-
|
-
|
Final examination and foreign language test
|
ITA |