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Offerta Formativa
PROGRAMMAZIONE DIDATTICA COORTE A.A. 2025/2026
CORSO DI LAUREA MAGISTRALE in 11962 INTERNET AND MULTIMEDIA ENGINEERING (classe LM-27 )

SCHEDA INFORMATIVA

Sede amministrativa:  GE
Classe delle lauree in: 

Classe delle lauree magistrali in INGEGNERIA DELLE TELECOMUNICAZIONI (classe LM-27)
Durata:  2 anni
Indirizzo web:  http://www.ime.ingegneria.unige.it/
Dipartimento di riferimento:  DIPARTIMENTO DI INGEGNERIA NAVALE, ELETTRICA, ELETTRONICA E DELLE TELECOMUNICAZIONI

PIANO DI STUDI

1° anno (coorte 2025/2026)

Comune ai curricula: SMART AND SECURE INTERNET - GE SPACE AND MULTIMEDIA - GE
Codice Disciplina Settore CFU Tipologia/Ambito Obiettivi Formativi Propedeuticità
90316 ANTENNAS ING-INF/02 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The unit aims to provide knowledge and skills on the operating principles and analysis and design techniques of antennas and antenna systems. These topics are discussed both from a theoretical point of view and with reference to different applicative examples.

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90317 ELECTROMAGNETIC PROPAGATION ING-INF/02 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The unit aims to provide knowledge and skills on the fundamental principles and analysis techniques of free and guided electromagnetic propagation, as well as of propagation in complex environments. These topics are discussed both from a theoretical point of view and with reference to different applicative examples.

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114551 DIGITAL COMMUNICATIONS ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The teaching is aimed at providing the bases of digital communications: the baseband and bandpass transmissions will be presented, discussed, and compared. The goal is to give the students an adequate knowledge needed to understand the key elements for designing and developing modern telecommunication systems.

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118092 OPERATIONS RESEARCH AND MACHINE LEARNING 12 This teaching unit aims to provide students with knowledge of Operations Research models and methods and of Machine Learning methods applied to data, signal and image recognition. In the first case, the aim is to equip students with the tools to address decision-making problems. Specifically, students will learn linear programming techniques (including modeling, the simplex algorithm, sensitivity analysis, and duality theory) as well as integer programming (branch and bound, cutting planes). They will also learn to model decision-making problems in the telecommunications field using graph theory and network flow models. In the Machine Learning area, students will learn to characterize the distribution of a data set and reduce its dimensionality. They will be able to use various classification techniques, with or without training samples, optimizing their structure and parameters and evaluating their performance. They will be able to apply the learned methods to data sets of various types, including signals and images.

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  66204 - OPERATIONS RESEARCH MAT/09 6 6 CFU AFFINI O INTEGRATIVE Attività Formative Affini o Integrative
 		Operations Research (OR) consists in a set of mathematical models and methods for solving decision problems in a very wide number of application sectors. The purpose of this module is to provide the students with competences in using a set of models for problem solving. In particular, the module mainly considers optimization problems faced by mathematical programming techniques and problems on graph and networks.

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  104852 - MACHINE LEARNING FOR PATTERN RECOGNITION ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		In this module, several Machine learning methods applied to Pattern recognition are presented and - in particular - the case of classification of images from real domains is discussed. Students will learn how to estimate a probability density function using a set of training samples. They will be able to classify samples on the basis of the decision theory and linear and nonlinear classifiers (MDM, k-nn, SVMs, Random forest). They will learn how to design a MLP neural network. They will learn how to assess the accuracy of a supervised classifier. They will also be able to utilize some clustering algorithms (including a fuzzy algorithm) and validate the obtained results.

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118093 INTERNET TECHNOLOGIES AND PYTHON 12 The teaching unit will provide the students with solid foundations on modern networking systems and Python programming. In detail, TCP/IP stack protocols will be analyzed by focusing on network performance, design, and operations aspects. Regarding Python, robust, maintainable, and efficient coding principle will be applied to manipulate datasets and to process multimedia sources.

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  90147 - INTERNET TECHNOLOGIES: ARCHITECTURES AND PROTOCOLS ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The module aims to provide knowledge and skills on the foundations of modern networking systems based on the TCP/IP protocol suite. Such protocols will be discussed by especially focusing on network performance, design, and operations aspects. The topics will be presented through a mix of theory and applicative examples.

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  118063 - PYTHON ING-INF/05 6 6 CFU AFFINI O INTEGRATIVE Attività Formative Affini o Integrative
 		Upon successful completion of this teaching unit, students will be able to develop robust, maintainable, and efficient Python code, with particular attention to the analysis and manipulation of datasets, and simple multimedia processing, including image and video analysis.

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3 CFU tra i seguenti insegnamenti:
104631 FUNDAMENTALS OF TELECOMMUNICATIONS ING-INF/03 3 3 CFU A SCELTA A Scelta dello Studente
 		The class aims at giving the students a review of the basic knowledge about signal theory, random phenomena, analog modulations, digital signal processing, and telecommunication networks. The specific objective is to enhance the initial preparation of the students on basic topics of fundamental relevance for the master course, increasing their opportunity to effectively exploit the advanced content of the other courses.

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104851 SOFT SKILLS 3 3 CFU A SCELTA A Scelta dello Studente
 		At the end of this immersive emotional-intelligence focused course students will learn what soft skills are and how to never overlook them in to be easily efficient and performative and ultimately have a successful career. Soft skills are social attributes that enable you to interact effectively with others. These skills are critical for success in most careers, as they help you build and maintain relationships, navigate complex situations, and achieve your goals. Main objectives are: 1. to learn what the most important and most sought after by employers are: efficient communication, teamwork, problem-solving and time management and how to use them successfully. 2. To practice how to use them efficiently, through a variety of role-playing, writing assignments, peer discussion exercises. 3. As a consequence, learning how to self-reflect, self-evaluate, and peer evaluate, according to the latest research in Business Management known as the Harvard model. 4. Being an effective part of a team meaning that you can work well with different personalities and can collaborate, delegate, and provide support when needed. 5. To learn different leadership models and how to use accordingly to different workplaces. 6. To learn about the future of the Global Economy and specifically the so called “Kind Economy”.

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3 CFU tra i seguenti insegnamenti:
118064 COMMUNICATION SKILLS IN ENGLISH L-LIN/12 3 3 CFU ALTRE ATTIVITA' Ulteriori Conoscenze Linguistiche
 		This teaching unit aims to provide knowledge to facilitate conversation and to provide the tools for preparing and/or presenting a meeting and/or lecture.

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118356 ITALIAN LANGUAGE FOR INTERNATIONAL STUDENTS (GE) L-FIL-LET/12 3 3 CFU ALTRE ATTIVITA' Ulteriori Conoscenze Linguistiche
 		The teaching aims to provide international students with the opportunity to acquire a basic knowledge of spoken and written Italian.

-

 

2° anno (coorte 2025/2026)

SMART AND SECURE INTERNET - GE
Codice Disciplina Settore CFU Tipologia/Ambito Obiettivi Formativi Propedeuticità
118065 DIGITAL COMMUNICATIONS AND CODING ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The teaching provides the bases of techniques for protecting data in digital communications. Specifically, linear block codes and convolutional codes will be covered. The aim is to furnish an adequate knowledge to understand the main components to improve the reliability of modern digital telecommunication systems.

-


30 CFU tra i seguenti insegnamenti:
108931 CYBER SECURITY ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The module aims to provide students with basic knowledge of the main aspects and technologies related to the security of telecommunications networks and, in a broader sense, of distributed computing systems. The knowledge acquired enables the student to deal with the design, configuration, and management of telecommunications and IT security in complex digital systems. The topics covered are organized into three parts: - Basic Technologies: cryptography, secure hashing, message authentication code, digital signature, key distribution, and authentication. - Protocols: data link layer security, network layer security, transport layer security, application layer security. - Specific technologies: firewalling, blockchain, and cloud security”.

-

118067 INTEGRATED SENSING AND COMMUNICATIONS FOR COGNITIVE RADIO ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		This subject introduces architectures of next-generation mobile communication systems (6G) based on software-defined and cognitive radio exploiting interaction and fusion between sensing and communications. The subject provides basic knowledge for co-design of sensing and communication, processing heterogeneous multisensory signals acquired by autonomous systems, and AI based approaches for jammer and anomaly detection.

-

118068 IOT AND AI ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The combination of IoT and Artificial Intelligence is already a reality—though still not widely known—and represents the integration of two frontier technologies that are expected to see growing adoption. Students will acquire the skills to understand and design AIoT systems by integrating IoT devices, connectivity, and intelligent algorithms. They will be able to collect, process, and transmit data across edge, fog, and cloud layers; apply machine and deep learning techniques for predictive and decision-making analysis; and develop solutions for real-world applications (industry, mobility, smart home, healthcare), addressing scalability and reliability challenges.

-

118066 MOBILE AND CLOUD NETWORKS ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The module aims at introducing advanced knowledge on the anatomy and the operations of cloud/edge computing infrastructures and platforms (with a special focus on networking aspects) as well as their relation to Network Function Virtualization and Software Defined Networking technologies, in order to finally achieve a deep understanding of 5G and beyond radio mobile networks and their programmability capabilities. The topics will be presented through a mix of theory and applicative examples and experimental laboratories.

-

90145 QUALITY OF SERVICE OVER HETEROGENEOUS NETWORKS ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The students at the end of the lectures will have acquired theoretical and practical knowledge about modern architectures for telecommunications networks, about applications, and about their control. The aim is to understand different technological solutions and algorithms to control and design interworking elements within a network. The students will acquire the necessary know-how to design and manage advanced interworking technology, understand main protocols at application layer, and investigate technological challenges, still object of research both industrial and academic, as well as quality of service provision over heterogeneous networks, satellite, space, and interplanetary networks.

-

90140 WIRELESS COMMUNICATIONS ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The Internet society is based on technological solution for continuative and pervasive connection of persons and objects (IoT). In the module, students are introduced to a critical comparison of different radio technologies able to guarantee such global connection, including terrestrial and satellite solutions. Taking a few case studies with different requirements, contraints and functionalities, students are guided to explore diferrent options and choose the most suitable, economic and performant. Radio coverage strategies will be examined by comparing different cell planning methodologies so that students can learn how different ambients and territories can be served pervasively saving infrastructure costs adopting specific solutions. Terrestrial mobile telephone standards like GSM/GPRS, WCDMA and LTE will be examined and compared with satellite technologies like Globalstar and Iridium. Thanks to this wide technological survey students will acquire confidence and competence in designing solutions based on multi-radio interface devices able to switch continuosuly and seamless the access network through vertical handover. The smartphone platform will be considered as a multi-standard platform able to connect persons and things beyond the telephone network, including Wifi, Bluetooth, RFID, BLE, NFC. The added value represented by position estimation of terminal, persons and things will be considered with reference to applications for logistics, transportation and health. In such view, methodologies based on terrestrial radio fingerprinting and satellite-based global systems (GPS/Galileo/Egnos) will be introduced.

-

 

6 CFU tra i seguenti insegnamenti:
60279 COGNITIVE TELECOMMUNICATION SYSTEMS ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The module aims at providing theory and techniques for architectural and functional design of interactive cognitive dynamic systems. Topics are related to data fusion, mutilevel bayesian state estimation and their application to cognitive video and radio domains. Project based learning allows students to acquire design capabilities in the field.

-

118070 DEEP LEARNING FOR SPACE AND AUTONOMOUS SYSTEMS ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		Upon successful completion of this teaching unit, students will be able to analyze, evaluate, and develop deep learning models and algorithms applied to Earth observation from space and to autonomous systems, with particular attention to task such as anomaly detection, planning and decision making, image semantic segmentation, and generative modeling. Students will be provided with methodological basis as well as with practical expertise within common frameworks for deep learning such as TensorFlow or PyTorch.

-

104782 DIGITAL IMAGE PROCESSING ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		This teaching unit provides students with the tools to understand the algorithms for the numerical, symbolic and semantic processing of digital images, distinguishing linear and non-linear methods, adaptive approaches and focusing on the criteria for evaluating the results. Students will learn to understand the most advanced approaches and methods, distinguishing established approaches from the most innovative and state-of-the-art solutions. One of the main objectives is to provide the student with the ability to orient himself in a critical and constructive way when faced with the offer of Internet sites that fail to grasp the complexity of the problem, propose confused, standardized and often limited approaches if not incorrect solutions in this specialist sector. Soft -skill competency of functional literacy (reading and critical use of sources), and ability to learn (self-learning). Another objective concerns the ability to analyze a problem, break it down into the main sub-parts and choose the most suitable approaches for each phase (soft-skills competence in project creation: orientation, problem solving and project planning). The practical SW laboratories allow the student to understand the theory and put it into practice with specialized tools capable of analyzing in detail all the steps and intermediate results of the most important state-of-the-art image processing algorithms. Sustainable Development Goals 4 (Quality Education) and 9 (Industry, Innovation and Infrastructure) of the 2030 Agenda are addressed, enabling the student to acquire strong skills to face the era of digital transformation related to various application fields of digital information sources.

-

118071 INTERNET SERVICES AND LOCALIZATION TECHNIQUES ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The objective of the course is to enable the student to understand how some Internet-based services work and how they perform, with particular emphasis on those involving localisation techniques. This objective is pursued by acquiring a certain amount of knowledge and skills, including 1) Understanding the functioning of the Internet Application Layer, both in general and concerning several reference applications/services (email, web, DNS). 2) Critically analyse the role of localisation techniques in Internet applications, recognising how user location enables advanced functionalities in different application domains (e.g. navigation and mobility (Google Maps, Uber), outdoor activities and gamification (Strava, Pokémon GO), ...) 3) Understand the fundamentals of localisation and positioning techniques used in the Internet and mobile environment, distinguishing between infrastructure-based approaches (e.g., GNSS, Wi-Fi, Bluetooth, UWB) and positioning algorithms (e.g., trilateration, fingerprinting, dead reckoning). 4) Analysing localization technologies' technical and operational characteristics (accuracy, coverage, latency, power consumption, robustness) and assessing their compatibility with different types of Internet applications. 5) Evaluate the performance of localisation solutions in real-life scenarios through metrics such as data accuracy, precision, reliability, and availability.

-

104827 REMOTE SENSING AND SATELLITE IMAGES ING-INF/02 6 6 CFU A SCELTA A Scelta dello Studente
 		Remote Sensing — Based on the concepts ruling the generation and propagation of electromagnetic wave fields, the objective is to provide the students with basic knowledge about the fundamentals and basic definitions of remote sensing; passive remote sensing in the optical, microwaves, and infrared frequency bands; active remote sensing and radar imaging; instrumentation for remote sensing. Satellite Images — In the framework of space missions for Earth observation, the objectives include providing the students with basic knowledge about statistical modeling, dimensionality reduction, detection, and regression methods with radar, multispectral, and hyperspectral images. In this context, machine learning techniques rooted in the areas of ensemble learning, neural networks, kernel machines, and Bayesian decision theory will be discussed as well.

-

118069 SATELLITE COMMUNICATIONS AND NETWORKING ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The teaching unit provides a comprehensive understanding of the principles, technologies, and systems used in satellite-based communication networks. Students will gain knowledge of topics including satellite orbits, frequency allocation, link budget analysis, modulation and coding techniques, and multiple access methods. Students will also explore the architecture and operation of various satellite systems and protocols and their applications in broadband, broadcast, navigation, and global connectivity

-

 
66175 MASTER THESIS 30 30 CFU PROVA FINALE Per la Prova Finale
 		Project work on a specific topic under the supervision of a teacher.

-

2° anno (coorte 2025/2026)

SPACE AND MULTIMEDIA - GE
Codice Disciplina Settore CFU Tipologia/Ambito Obiettivi Formativi Propedeuticità
118065 DIGITAL COMMUNICATIONS AND CODING ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The teaching provides the bases of techniques for protecting data in digital communications. Specifically, linear block codes and convolutional codes will be covered. The aim is to furnish an adequate knowledge to understand the main components to improve the reliability of modern digital telecommunication systems.

-


30 CFU tra i seguenti insegnamenti:
60279 COGNITIVE TELECOMMUNICATION SYSTEMS ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The module aims at providing theory and techniques for architectural and functional design of interactive cognitive dynamic systems. Topics are related to data fusion, mutilevel bayesian state estimation and their application to cognitive video and radio domains. Project based learning allows students to acquire design capabilities in the field.

-

118070 DEEP LEARNING FOR SPACE AND AUTONOMOUS SYSTEMS ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		Upon successful completion of this teaching unit, students will be able to analyze, evaluate, and develop deep learning models and algorithms applied to Earth observation from space and to autonomous systems, with particular attention to task such as anomaly detection, planning and decision making, image semantic segmentation, and generative modeling. Students will be provided with methodological basis as well as with practical expertise within common frameworks for deep learning such as TensorFlow or PyTorch.

-

104782 DIGITAL IMAGE PROCESSING ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		This teaching unit provides students with the tools to understand the algorithms for the numerical, symbolic and semantic processing of digital images, distinguishing linear and non-linear methods, adaptive approaches and focusing on the criteria for evaluating the results. Students will learn to understand the most advanced approaches and methods, distinguishing established approaches from the most innovative and state-of-the-art solutions. One of the main objectives is to provide the student with the ability to orient himself in a critical and constructive way when faced with the offer of Internet sites that fail to grasp the complexity of the problem, propose confused, standardized and often limited approaches if not incorrect solutions in this specialist sector. Soft -skill competency of functional literacy (reading and critical use of sources), and ability to learn (self-learning). Another objective concerns the ability to analyze a problem, break it down into the main sub-parts and choose the most suitable approaches for each phase (soft-skills competence in project creation: orientation, problem solving and project planning). The practical SW laboratories allow the student to understand the theory and put it into practice with specialized tools capable of analyzing in detail all the steps and intermediate results of the most important state-of-the-art image processing algorithms. Sustainable Development Goals 4 (Quality Education) and 9 (Industry, Innovation and Infrastructure) of the 2030 Agenda are addressed, enabling the student to acquire strong skills to face the era of digital transformation related to various application fields of digital information sources.

-

118071 INTERNET SERVICES AND LOCALIZATION TECHNIQUES ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The objective of the course is to enable the student to understand how some Internet-based services work and how they perform, with particular emphasis on those involving localisation techniques. This objective is pursued by acquiring a certain amount of knowledge and skills, including 1) Understanding the functioning of the Internet Application Layer, both in general and concerning several reference applications/services (email, web, DNS). 2) Critically analyse the role of localisation techniques in Internet applications, recognising how user location enables advanced functionalities in different application domains (e.g. navigation and mobility (Google Maps, Uber), outdoor activities and gamification (Strava, Pokémon GO), ...) 3) Understand the fundamentals of localisation and positioning techniques used in the Internet and mobile environment, distinguishing between infrastructure-based approaches (e.g., GNSS, Wi-Fi, Bluetooth, UWB) and positioning algorithms (e.g., trilateration, fingerprinting, dead reckoning). 4) Analysing localization technologies' technical and operational characteristics (accuracy, coverage, latency, power consumption, robustness) and assessing their compatibility with different types of Internet applications. 5) Evaluate the performance of localisation solutions in real-life scenarios through metrics such as data accuracy, precision, reliability, and availability.

-

104827 REMOTE SENSING AND SATELLITE IMAGES ING-INF/02 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		Remote Sensing — Based on the concepts ruling the generation and propagation of electromagnetic wave fields, the objective is to provide the students with basic knowledge about the fundamentals and basic definitions of remote sensing; passive remote sensing in the optical, microwaves, and infrared frequency bands; active remote sensing and radar imaging; instrumentation for remote sensing. Satellite Images — In the framework of space missions for Earth observation, the objectives include providing the students with basic knowledge about statistical modeling, dimensionality reduction, detection, and regression methods with radar, multispectral, and hyperspectral images. In this context, machine learning techniques rooted in the areas of ensemble learning, neural networks, kernel machines, and Bayesian decision theory will be discussed as well.

-

118069 SATELLITE COMMUNICATIONS AND NETWORKING ING-INF/03 6 6 CFU CARATTERIZZANTI Ingegneria delle Telecomunicazioni
 		The teaching unit provides a comprehensive understanding of the principles, technologies, and systems used in satellite-based communication networks. Students will gain knowledge of topics including satellite orbits, frequency allocation, link budget analysis, modulation and coding techniques, and multiple access methods. Students will also explore the architecture and operation of various satellite systems and protocols and their applications in broadband, broadcast, navigation, and global connectivity

-

 

6 CFU tra i seguenti insegnamenti:
108931 CYBER SECURITY ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The module aims to provide students with basic knowledge of the main aspects and technologies related to the security of telecommunications networks and, in a broader sense, of distributed computing systems. The knowledge acquired enables the student to deal with the design, configuration, and management of telecommunications and IT security in complex digital systems. The topics covered are organized into three parts: - Basic Technologies: cryptography, secure hashing, message authentication code, digital signature, key distribution, and authentication. - Protocols: data link layer security, network layer security, transport layer security, application layer security. - Specific technologies: firewalling, blockchain, and cloud security”.

-

118067 INTEGRATED SENSING AND COMMUNICATIONS FOR COGNITIVE RADIO ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		This subject introduces architectures of next-generation mobile communication systems (6G) based on software-defined and cognitive radio exploiting interaction and fusion between sensing and communications. The subject provides basic knowledge for co-design of sensing and communication, processing heterogeneous multisensory signals acquired by autonomous systems, and AI based approaches for jammer and anomaly detection.

-

118068 IOT AND AI ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The combination of IoT and Artificial Intelligence is already a reality—though still not widely known—and represents the integration of two frontier technologies that are expected to see growing adoption. Students will acquire the skills to understand and design AIoT systems by integrating IoT devices, connectivity, and intelligent algorithms. They will be able to collect, process, and transmit data across edge, fog, and cloud layers; apply machine and deep learning techniques for predictive and decision-making analysis; and develop solutions for real-world applications (industry, mobility, smart home, healthcare), addressing scalability and reliability challenges.

-

118066 MOBILE AND CLOUD NETWORKS ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The module aims at introducing advanced knowledge on the anatomy and the operations of cloud/edge computing infrastructures and platforms (with a special focus on networking aspects) as well as their relation to Network Function Virtualization and Software Defined Networking technologies, in order to finally achieve a deep understanding of 5G and beyond radio mobile networks and their programmability capabilities. The topics will be presented through a mix of theory and applicative examples and experimental laboratories.

-

90145 QUALITY OF SERVICE OVER HETEROGENEOUS NETWORKS ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The students at the end of the lectures will have acquired theoretical and practical knowledge about modern architectures for telecommunications networks, about applications, and about their control. The aim is to understand different technological solutions and algorithms to control and design interworking elements within a network. The students will acquire the necessary know-how to design and manage advanced interworking technology, understand main protocols at application layer, and investigate technological challenges, still object of research both industrial and academic, as well as quality of service provision over heterogeneous networks, satellite, space, and interplanetary networks.

-

90140 WIRELESS COMMUNICATIONS ING-INF/03 6 6 CFU A SCELTA A Scelta dello Studente
 		The Internet society is based on technological solution for continuative and pervasive connection of persons and objects (IoT). In the module, students are introduced to a critical comparison of different radio technologies able to guarantee such global connection, including terrestrial and satellite solutions. Taking a few case studies with different requirements, contraints and functionalities, students are guided to explore diferrent options and choose the most suitable, economic and performant. Radio coverage strategies will be examined by comparing different cell planning methodologies so that students can learn how different ambients and territories can be served pervasively saving infrastructure costs adopting specific solutions. Terrestrial mobile telephone standards like GSM/GPRS, WCDMA and LTE will be examined and compared with satellite technologies like Globalstar and Iridium. Thanks to this wide technological survey students will acquire confidence and competence in designing solutions based on multi-radio interface devices able to switch continuosuly and seamless the access network through vertical handover. The smartphone platform will be considered as a multi-standard platform able to connect persons and things beyond the telephone network, including Wifi, Bluetooth, RFID, BLE, NFC. The added value represented by position estimation of terminal, persons and things will be considered with reference to applications for logistics, transportation and health. In such view, methodologies based on terrestrial radio fingerprinting and satellite-based global systems (GPS/Galileo/Egnos) will be introduced.

-

 
66175 MASTER THESIS 30 30 CFU PROVA FINALE Per la Prova Finale
 		Project work on a specific topic under the supervision of a teacher.

-

Note per insegnamenti a scelta

*Per gli insegnamenti a scelta libera possono essere considerati in linea di principio tutti quelli offerti dall'Ateneo. Tuttavia, dovendo le proposte degli studenti passare il vaglio del Consiglio del Corso di studi, si suggerisce di orientare tale scelta verso insegnamenti che offrano contenuti culturali coerenti con il profilo dell'ingegnere delle telecomunicazioni.

Oltre a quanto già presente nell'Offerta Formativa, può essere considerato, ad esempio, anche un insegnamento non già selezionato tra i 30 CFU caratterizzanti presenti nel proprio curriculum.