Degree Course: Communication and information technology engineering
A.Y. 2022/2023
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 tecnologie della comunicazione e dell'informazione è richiesto il possesso delle lauree di primo livello nelle Classi dell' Ingegneria dell'Informazione (di cui al D.M.509/1999 o D.M.270/2004) con riconoscimento integrale dei 180 crediti previsti nel piano di studi di primo livello.
Le modalità per la verifica delle conoscenze richieste per l'accesso saranno definite all'interno del Regolamento Didattico.
E' inoltre richiesto allo studente di essere capace di comunicare efficacemente, in forma scritta e orale, in almeno una lingua europea diversa dall'italiano.
Il riconoscimento dell'idoneità linguistica è effettuato sulla base del superamento di prove di verifica effettuate presso il Centro Linguistico di Ateneo di Roma Tre o dell'Ateneo di provenienza, come specificato nel Regolamento Didattico del Corso di laurea Magistrale.Prova finale
La prova finale si realizza attraverso la presentazione e discussione di una relazione scritta avente per oggetto un progetto originale sviluppato dallo studente in modo autonomo sotto la guida di relatori e co-relatori nominati dal collegio didattico.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.
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 in Ingegneria delle tecnologie della comunicazione e dell'informazione 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 in tecnologie della comunicazione e dell'informazione 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, 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.
Sicurezza dell'informazione
FIRST YEAR
First semester
|
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
|
20810339 -
ADVANCED ELECTROMAGNETIC COMPONENTS AND CIRCUITS
(objectives)
The objectives of this course are to understand and gain the complete knowledge on the main microwave components and to design the microwave networks realized by combining them. Microwave and millimeter-wave systems for different application, such as radars, satellite and wireless communications, are presented and discussed. The course has also the objective to provide the knowledge on the advanced microwave components based on metamaterials and metasurfaces. The design of the microwave components and networks can be supported by professional CAD software, that are presented during the course.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
|
20801694 -
DIGITAL SIGNAL PROCESSING FOR TELECOMMUNICATIONS
(objectives)
To acquire fundamental knowledges on digital operations to process discrete signals in telecommunication system environments.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20802045 -
INFORMATION THEORY AND CODING
(objectives)
Acquisition of theoretical background on information theory and methodologies and technologies for source coding of mono and multimedia signals for redundancy reduction for lossless and lossy information applications. Acquisition of theoretical background, methodologies, and technologies for channel coding, i.e., for protection of digital communications against errors caused by distortions and noise.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
Optional Group:
Gruppo affini - (show)
|
12
|
|
|
|
|
|
|
|
|
20801758 -
DATABASES I
(objectives)
Presentation of models, methods and tools for the definition, design and development of software systems that manage large sets of data. A student who has passed the course will be able to: (i) develop software applications that make use of databases of even high complexity, (i) design and built autonomously databases of medium complexity, and (iii) be involved in the project and development of large databases of high complexity.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810262 -
Deep Learning
(objectives)
Provide advanced and specific skills in Deep neural networks. The course consists of a theoretical part on the fundamental concepts, and laboratory activities in which these concepts are applied and developed through a software framework. At the end of the course the student will be able to: adequately train and optimize Deep neural networks; distinguish between different solutions and be able to choose and customize the most effective architectures in real-world scenarios, supervised, unsupervised or following a reinforcement learning approach.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810346 -
ETHICAL HACKING
|
Also available in another semester or year
|
|
20801958 -
PROJECT MANAGEMENT
|
Also available in another semester or year
|
|
20410560 -
IN400- Python and MATLAB programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted languages Python and MATLAB. Understand the main constructs used in Python and MATLAB and their application to scientific computing and data processing scenarios.
|
|
|
20410560-1 -
MODULE A - PYTHON programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted language Python . Understand the main constructs used in Python and its application to scientific computing and data processing scenarios.
|
3
|
INF/01
|
30
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20410560-2 -
MODULE B - MATLAB programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted language MATLAB. Understand the main constructs used in MATLAB and its application to scientific computing and data processing scenarios.
|
3
|
INF/01
|
30
|
-
|
-
|
-
|
Related or supplementary learning 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 |
|
20810340 -
CYBERSECURITY FOR TELECOMMUNICATIONS
(objectives)
This course is designed to introduce students to the main aspects of cyber-physical security that are associated with telecommunications networks. It provides an introduction to the fundamentals of network security, including compliance and operational security; threats and vulnerabilities; application, data, and host security; access control and identity management; and encryption. The course also covers new topics in network security, including psychological approaches to social engineering attacks, multimedia information protection, and digital information forensics. Students will be engaged in lab activities.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20810341 -
SIGNAL PROCESSING FOR BIG DATA ANALYTICS
(objectives)
The course will provide tools for the analysis of big data (audio, video, text) generated by modern information and communication systems and related services.
Skills stemming from computer science, statistics and optimization will be introduced to provide the means for understanding, designing and implementing methods capable of managing complex amounts of data, and transforming them into useful and semantically relevant information.
Topics to be discussed will include advanced principles of information theory (sparse coding, compressive sensing, random matrix), principles of statistical inference, methodologies for clustering the observed data, predictive analytics, and principles of constrained optimization based on elements of game theory.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
Optional Group:
Gruppo affini - (show)
|
12
|
|
|
|
|
|
|
|
|
20801758 -
DATABASES I
|
Also available in another semester or year
|
|
20810262 -
Deep Learning
|
Also available in another semester or year
|
|
20810346 -
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.
|
6
|
MAT/03
|
48
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ENG |
|
20801958 -
PROJECT MANAGEMENT
(objectives)
Provide methodological and operational tools in order to develop abilities to work within the management of complex projects with a very high number of activities under significant time and resources constraints, using the planning and control of time, resources, cost and technical performance methods in an integrated way.
|
6
|
MAT/09
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20410560 -
IN400- Python and MATLAB programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted languages Python and MATLAB. Understand the main constructs used in Python and MATLAB and their application to scientific computing and data processing scenarios.
|
|
|
20410560-1 -
MODULE A - PYTHON programming
|
Also available in another semester or year
|
|
20410560-2 -
MODULE B - MATLAB programming
|
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 |
|
20810344 -
LOCALIZATION AND NAVIGATION SYSTEMS
|
Also available in another semester or year
|
|
20810345 -
WIRELESS NETWORKING AND IOT
|
Also available in another semester or year
|
|
SECOND YEAR
First semester
|
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
|
20810153 -
ANTENNAS AND PROPAGATION
(objectives)
The course aims to complete training on antennas received in previous courses, particularly in relation to the study and design of aperture antennas, planar antennas and arrays of antennas. It also introduces the problem of electromagnetic scattering from structures present in the air or in the soil. Areas of application: biomedical industry, electrical, electronics and telecommunications.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
|
20802044 -
BIOMETRIC SYSTEMS
(objectives)
The course aims at providing the necessary instruments for the analysis and design of biometric systems, both uni-modal and multi-modal systems. In the course, the principles to include the needed security ad privacy requirements in the project of the system are fully addressed. The notions learnt during the course will be brought to fruition with the realization of a functioning biometric system during the lab activity.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20810347 -
MOBILE SYSTEMS
(objectives)
The course aims to address fundamental aspects about telecommunication systems. It provides students with analytic tools to study and design system’s architecture and transmission techniques. In particular, optimization criteria of the several layers that forms the whole project (from application to physical layer) are addressed according to the top-down approach. It covers system aspects such as the cellular scheme, radio network access protocols and modulations, radio channel modelling, radio transmission algorithms, optimum signal processing, and performance analyses. It aims to describe the major standards of new generation wireless communications (4G and 5G) and also the proposals for the next one (6G), by focusing on the design solutions depending on the provided services. 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.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
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
|
|
Optional Group:
Insegnamenti a scelta - (show)
|
9
|
|
|
|
|
|
|
|
|
20802093 -
PROGRAMMABLE ELECTRONIC SYSTEMS
|
Also available in another semester or year
|
|
20810344 -
LOCALIZATION AND NAVIGATION SYSTEMS
(objectives)
Course objective is to provide the attendees with a comprehensive knowledge of basic theory, methodologies, and technologies for outdoor and indoor navigation systems including Global Navigation Satellite Systems (GNSS) like GPS, GALILEO, GLONASS e BEIDOU, regional systems like IRNSS, QZSS, terrestrial radio-localization systems based on 4G and 5G mobile networks, and local area networks (WiFi, Bluetooth, ZigBee, UWB, RF-ID, etc.), inertial navigation systems (INS),and heterogeneous systems (e.g. GNSS+INS).
Additional objective is the ability to apply the previous methodologies and technologies to major applications based on the user position, like intelligent transportation systems (avionics, rail, road, maritime), infomobility, automotive, location based services for smartphones, tablets, mobile computers, and environment monitoring
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
20810345 -
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.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Elective 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
|
|
-
|
-
|
-
|
-
|
Other activities
|
ITA |
|
20802091 -
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
|
|
-
|
-
|
-
|
-
|
Final examination and foreign language test
|
ITA |
RF and microwave engineering
FIRST YEAR
First semester
|
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
|
20810339 -
ADVANCED ELECTROMAGNETIC COMPONENTS AND CIRCUITS
(objectives)
The objectives of this course are to understand and gain the complete knowledge on the main microwave components and to design the microwave networks realized by combining them. Microwave and millimeter-wave systems for different application, such as radars, satellite and wireless communications, are presented and discussed. The course has also the objective to provide the knowledge on the advanced microwave components based on metamaterials and metasurfaces. The design of the microwave components and networks can be supported by professional CAD software, that are presented during the course.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
|
20801694 -
DIGITAL SIGNAL PROCESSING FOR TELECOMMUNICATIONS
(objectives)
To acquire fundamental knowledges on digital operations to process discrete signals in telecommunication system environments.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20802045 -
INFORMATION THEORY AND CODING
(objectives)
Acquisition of theoretical background on information theory and methodologies and technologies for source coding of mono and multimedia signals for redundancy reduction for lossless and lossy information applications. Acquisition of theoretical background, methodologies, and technologies for channel coding, i.e., for protection of digital communications against errors caused by distortions and noise.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
Optional Group:
Gruppo affini - (show)
|
12
|
|
|
|
|
|
|
|
|
20801758 -
DATABASES I
(objectives)
Presentation of models, methods and tools for the definition, design and development of software systems that manage large sets of data. A student who has passed the course will be able to: (i) develop software applications that make use of databases of even high complexity, (i) design and built autonomously databases of medium complexity, and (iii) be involved in the project and development of large databases of high complexity.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810262 -
Deep Learning
(objectives)
Provide advanced and specific skills in Deep neural networks. The course consists of a theoretical part on the fundamental concepts, and laboratory activities in which these concepts are applied and developed through a software framework. At the end of the course the student will be able to: adequately train and optimize Deep neural networks; distinguish between different solutions and be able to choose and customize the most effective architectures in real-world scenarios, supervised, unsupervised or following a reinforcement learning approach.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810346 -
ETHICAL HACKING
|
Also available in another semester or year
|
|
20801958 -
PROJECT MANAGEMENT
|
Also available in another semester or year
|
|
20410560 -
IN400- Python and MATLAB programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted languages Python and MATLAB. Understand the main constructs used in Python and MATLAB and their application to scientific computing and data processing scenarios.
|
|
|
20410560-1 -
MODULE A - PYTHON programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted language Python . Understand the main constructs used in Python and its application to scientific computing and data processing scenarios.
|
3
|
INF/01
|
30
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20410560-2 -
MODULE B - MATLAB programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted language MATLAB. Understand the main constructs used in MATLAB and its application to scientific computing and data processing scenarios.
|
3
|
INF/01
|
30
|
-
|
-
|
-
|
Related or supplementary learning 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 |
|
20810342 -
MICROWAVE DEVICES FOR WIRELESS SYSTEMS
(objectives)
The aim of the course is to provide the fundamentals of the design of circuit and components for wireless systems in the up-to-date technologies. The course deals with the techniques for the design of wireless devices, also through specialistic electromagnetic software for the simulation of integrated microwave circuits and in the millimeter frequency band, with reference to active and passive components. Some emerging applications will be considered, as circuits in SIW technology and systems for wireless power transfer. Applications of the radar systems and of the radar for the sensing of buried objects (Ground Penetrating Radar) will dealt with.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
|
Optional Group:
Gruppo affini - (show)
|
12
|
|
|
|
|
|
|
|
|
20801758 -
DATABASES I
|
Also available in another semester or year
|
|
20810262 -
Deep Learning
|
Also available in another semester or year
|
|
20810346 -
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.
|
6
|
MAT/03
|
48
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ENG |
|
20801958 -
PROJECT MANAGEMENT
(objectives)
Provide methodological and operational tools in order to develop abilities to work within the management of complex projects with a very high number of activities under significant time and resources constraints, using the planning and control of time, resources, cost and technical performance methods in an integrated way.
|
6
|
MAT/09
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20410560 -
IN400- Python and MATLAB programming
(objectives)
Acquire the ability to implement high-level programs in the interpreted languages Python and MATLAB. Understand the main constructs used in Python and MATLAB and their application to scientific computing and data processing scenarios.
|
|
|
20410560-1 -
MODULE A - PYTHON programming
|
Also available in another semester or year
|
|
20410560-2 -
MODULE B - MATLAB programming
|
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 |
|
20810344 -
LOCALIZATION AND NAVIGATION SYSTEMS
|
Also available in another semester or year
|
|
20810345 -
WIRELESS NETWORKING AND IOT
|
Also available in another semester or year
|
|
SECOND YEAR
First semester
|
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
|
20810153 -
ANTENNAS AND PROPAGATION
(objectives)
The course aims to complete training on antennas received in previous courses, particularly in relation to the study and design of aperture antennas, planar antennas and arrays of antennas. It also introduces the problem of electromagnetic scattering from structures present in the air or in the soil. Areas of application: biomedical industry, electrical, electronics and telecommunications.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
|
20810347 -
MOBILE SYSTEMS
(objectives)
The course aims to address fundamental aspects about telecommunication systems. It provides students with analytic tools to study and design system’s architecture and transmission techniques. In particular, optimization criteria of the several layers that forms the whole project (from application to physical layer) are addressed according to the top-down approach. It covers system aspects such as the cellular scheme, radio network access protocols and modulations, radio channel modelling, radio transmission algorithms, optimum signal processing, and performance analyses. It aims to describe the major standards of new generation wireless communications (4G and 5G) and also the proposals for the next one (6G), by focusing on the design solutions depending on the provided services. 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.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
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
|
|
20810154 -
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 in antenna engineering, including analytical and numerical techniques: theory and applications of periodic structures; resonant and traveling-wave antennas for terrestrial and space communication systems; smart and MIMO antenna arrays; 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.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
|
20810155 -
METAMATERIALS
(objectives)
The course aims at learning the tools for the analysis and design of innovative high-tech devices based on the use of artificial electromagnetic materials and metamaterials.
|
9
|
ING-INF/02
|
72
|
-
|
-
|
-
|
Core compulsory activities
|
ENG |
|
Optional Group:
Insegnamenti a scelta - (show)
|
9
|
|
|
|
|
|
|
|
|
20802093 -
PROGRAMMABLE ELECTRONIC SYSTEMS
|
Also available in another semester or year
|
|
20810344 -
LOCALIZATION AND NAVIGATION SYSTEMS
(objectives)
Course objective is to provide the attendees with a comprehensive knowledge of basic theory, methodologies, and technologies for outdoor and indoor navigation systems including Global Navigation Satellite Systems (GNSS) like GPS, GALILEO, GLONASS e BEIDOU, regional systems like IRNSS, QZSS, terrestrial radio-localization systems based on 4G and 5G mobile networks, and local area networks (WiFi, Bluetooth, ZigBee, UWB, RF-ID, etc.), inertial navigation systems (INS),and heterogeneous systems (e.g. GNSS+INS).
Additional objective is the ability to apply the previous methodologies and technologies to major applications based on the user position, like intelligent transportation systems (avionics, rail, road, maritime), infomobility, automotive, location based services for smartphones, tablets, mobile computers, and environment monitoring
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
20810345 -
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.
|
9
|
ING-INF/03
|
72
|
-
|
-
|
-
|
Elective 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
|
|
-
|
-
|
-
|
-
|
Other activities
|
ITA |
|
20802091 -
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
|
|
-
|
-
|
-
|
-
|
Final examination and foreign language test
|
ITA |
Università Roma Tre