Electronics Engineering | Course catalogue

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Curriculum(s) for 2025 - Electronics Engineering (33511)

Ingegneria Elettronica (percorso valido anche ai fini del conseguimento del doppio titolo italo-statunitense o italo-francese)

1st year

Lesson	Semester	CFU	SSD	Language
1042017 \| Microwaves	1st	9	ING-INF/02	ITA
Educational objectives ENG GENERAL The Microwave course provides the methodologies useful to the analysis and design of guiding structures and microwave circuits. The first part of the course introduces the Helmotz wave equation, the boundary conditions and the field representation (in terms of TE, TM and TEM waves) useful to analyze metallic guiding structures (rectangular and circular waveguides, coaxial cable, etc.). To this purpose, the concepts of propagation constant, modal impedance phase and group velocity are introduced. The frequency behavior of the considered structures is determined taking into account for the presence of dielectric and metallic losses. Finally, a synthetic description of the guiding properties of microstrip transmission lines is given. The second part of the course is devoted to the characterization of N-port microwave circuits in terms of impedance, admittance and scattering matrices. In particular, the electromagnetic and circuital characteristics of one- and multi- port junctions, such as generators, resonators, filters, attenuators, isolators, phase shifters, directional couplers, power dividers and amplifiers are presented. SPECIFIC • Knowledge and understanding: Knowledge and understanding the methodological aspects related to field propagation in waveguide structures. • Applying knowledge and understanding: Know how to apply one's skills to the analysis and design of guiding structures working in high frequency regime. • Making judgements: Be able to develop analytical and numerical models to analyze the EM field propagation in microwave guiding and resonant structures. • Communication skills: Ability to interact effectively with specialists and non-specialists on technical issues related to guided wave propagation. • Learning skills: Know how to search on bibliographic sources and specialist texts in order to deepen and increase knowledge in the field.
10589760 \| COMPONENTI ELETTRONICI INTEGRATI	1st	9	ING-INF/01	ITA
Educational objectives ENG GENERAL The aim of the course is to provide students with practical skills for the modeling of integrated electronic components, mainly in CMOS technology. The course will allow to understand the ideal functioning of the components and their non-idealities, as well as to understand the technological strategies introduced in recent years to pursue increasingly aggressive integration. The study of non-conventional components marketed in recent years opens the student a window on the current real market; for the same purpose, some seminars by personnel of semiconductor industries complete the course. SPECIFIC • Knowledge and understanding: to know the main models of integrated components and their limits. • Applying knowledge and understanding: to be able to identify non-ideal issues and propose in principle the proper technological solutions. • Making judgements: to carry out design solutions as a function of specific requirements. • Communication skills: (none). • Learning skills: ability to continue successive studies with specific reference to the laboratories of semiconductors and integrated sensors.
COMPONENTI ELETTRONICI INTEGRATI	1st	3	ING-INF/01	ITA
Educational objectives ENG GENERAL The aim of the course is to provide students with practical skills for the modeling of integrated electronic components, mainly in CMOS technology. The course will allow to understand the ideal functioning of the components and their non-idealities, as well as to understand the technological strategies introduced in recent years to pursue increasingly aggressive integration. The study of non-conventional components marketed in recent years opens the student a window on the current real market; for the same purpose, some seminars by personnel of semiconductor industries complete the course. SPECIFIC • Knowledge and understanding: to know the main models of integrated components and their limits. • Applying knowledge and understanding: to be able to identify non-ideal issues and propose in principle the proper technological solutions. • Making judgements: to carry out design solutions as a function of specific requirements. • Communication skills: (none). • Learning skills: ability to continue successive studies with specific reference to the laboratories of semiconductors and integrated sensors.
COMPONENTI ELETTRONICI INTEGRATI	1st	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The aim of the course is to provide students with practical skills for the modeling of integrated electronic components, mainly in CMOS technology. The course will allow to understand the ideal functioning of the components and their non-idealities, as well as to understand the technological strategies introduced in recent years to pursue increasingly aggressive integration. The study of non-conventional components marketed in recent years opens the student a window on the current real market; for the same purpose, some seminars by personnel of semiconductor industries complete the course. SPECIFIC • Knowledge and understanding: to know the main models of integrated components and their limits. • Applying knowledge and understanding: to be able to identify non-ideal issues and propose in principle the proper technological solutions. • Making judgements: to carry out design solutions as a function of specific requirements. • Communication skills: (none). • Learning skills: ability to continue successive studies with specific reference to the laboratories of semiconductors and integrated sensors.
10621510 \| COMMUNICATION THEORY AND ENGINEERING	1st	6	ING-INF/03	ENG
Educational objectives The goal of the course of Communication Theory and Engineering is to provide the skills required to design and analyse advanced communication systems, focusing in particular on topics related to information measure and information theory, source coding and channel coding. The course has furthermore the goal of introducing advanced modulation schemes adopted in 4G and 5G communication systems. SPECIFIC • Knowledge and understanding: information theory, source coding and channel coding. Channel capacity for a single link and for multiple access systems • Applying knowledge and understanding: analysis of information that can be transferred in a communication system, and proper selection and configuration of channel coding and source coding algorithms • Making judgements: ability to design and dimension a communication link and system, correctly identifying constraints and objectives to be met for performance indicators, and finding the most efficient solution for each block in the communication chain, from source to destination. • Communication skills: N/A • Learning skills: acquire knowledge allowing the student to properly assess communication systems in terms of capacity and transferred information.
10621418 \| OPTOELECTRONICS AND PHOTONIC APPLICATIONS	1st	9	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals for several applications, from telecom, to sensors, to optical instrumentation. The student will acquire the expertise to design and to evaluate performance of most optoelectronic devices. SPECIFIC • Knowledge and understanding: knowledge of phenomena, materials, devices and optoelectronic techniques related for the transmission of information by means of optical signals. • Applying knowledge and understanding: capabilities to design and to evaluate performance of devices according to the specifications provided, both by lectures and laboratory experiences, for specific applications from telecom, to sensors, to optical instrumentation. • Making judgements: expertise to design and to evaluate performance of most optoelectronic devices for any optoelectronic system. • Communication skills: capabilities to communicate in both written and oral form on the contents of the course, by means of written reports and oral discussions both in the classroom and during the exam. • Learning skills: capabilities to learn the contents of the course by several means using lecture notes, books, technical and scientific literature available on web, laboratory experiences.
OPTOELECTRONICS	1st	3	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides a consistent knowledge of characteristics and design techniques of fiber optic systems. Both class lectures and laboratory projects will be given. The goal of the course is to make the students able to design WDM (Wavelength Division Multiplexing) wide band fiber optical links and to evaluate their performance. Furthermore state of the art will be presented by means of seminars given by invited experts of international level. SPECIFIC • Knowledge and understanding: Knowledge of characteristics and design techniques of fiber optics systems. Both class lectures and laboratory projects will be given. • Applying knowledge and understanding: capabilities to design WDM (Wavelength Division Multiplexing) wide band fiber optical links and to evaluate their performance.. • Making judgements: abilty to recognize the structure and specifications of the main photonic systems. Ability to design of a system operating either at single or multiple wavelengths (WDM systems). Ability to recognize physical phenomena, which limit the performance of fiber optic systems. • Communication skills: capabilities to communicate in both written and oral form on the contents of the course, by means of written reports and oral discussions both in the classroon and during the exam. • Learning skills: capabilities to learn the contents of the course by several means using lecture notes, books, technical and scientific literature available on web, laboratory experiences as indicated by the teacher.
PHOTONICS	1st	6	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals for several applications, from telecom, to sensors, to optical instrumentation. The student will acquire the expertise to design and to evaluate performance of most optoelectronic devices. SPECIFIC • Knowledge and understanding: knowledge of phenomena, materials, devices and optoelectronic techniques related for the transmission of information by means of optical signals. • Applying knowledge and understanding: capabilities to design and to evaluate performance of devices according to the specifications provided, both by lectures and laboratory experiences, for specific applications from telecom, to sensors, to optical instrumentation. • Making judgements: expertise to design and to evaluate performance of most optoelectronic devices for any optoelectronic system. • Communication skills: capabilities to communicate in both written and oral form on the contents of the course, by means of written reports and oral discussions both in the classroom and during the exam. • Learning skills: capabilities to learn the contents of the course by several means using lecture notes, books, technical and scientific literature available on web, laboratory experiences.
10621421 \| DIGITAL INTEGRATED CIRCUIT ARCHITECTURES	2nd	9	ING-INF/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. Digital VLSI circuits, RTL design, VHDL, microprocessor architectures. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Digital circuit design, FPGA/ASIC synthesis, microprocessor design/programming. MAKING AUTONOMOUS JUDGEMENTS. Evaluation of design alternatives and technologies to be used. COMMUNICATE SKILLS. Specification and modeling of digital systems. LEARNING SKILLS. Any subsequent advancement on digital circuits, architectures and programming.
10589483 \| RADIOFREQUENCY ELECTRONIC SYSTEMS	2nd	9	ING-INF/01	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with the criteria and procedures for the design of devices such as oscillators, amplifiers, mixers and filters widely used in telecommunication, radar and biomedical systems. The CAD exercises, planned as an integral part of the course, complete the project also highlighting the technological and manufacturing aspects. Students who have successfully passed the course will be ready to undertake a design activity in companies in the RF system sector. SPECIFIC • Knowledge and understanding: The course aims to provide the student with the knowledge needed to design radio frequency and microwave circuits. Particular attention is paid to the design of oscillators, amplifiers, mixers and filters. • Applying knowledge and understanding: The theoretical part is complemented by CAD techniques for the design and implementation of radiofrequency circuits applied in interdisciplinary contexts such as radar, telecommunications and biomedical devices. • Making judgements: The CAD design activities, which are an integral part of the course and the object of verification through a specific design practical test, also have the objective of developing the autonomy of the candidate. • Communication skills: CAD design activities involve group work that develop communication and interaction skills. • Learning skills: In addition to the teaching material provided, the student is encouraged to study in an autonomous way using the scientific literature made available and other material available on the web.
AAF1587 \| Elementi di comunicazione tecnico-scientifica	2nd	1	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. To learn the fundamental elements of the technical‐scientific writing and interpersonal communication, tools that the graduates in scientific and technological disciplines in any sector use to disseminate data, facts, opinions, recommendations to the colleagues and the professional community where they will be involved. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Capability to write a thesis, a summary, a report, an article, following the rules of the text canonical structure and starting from the plan of the communication objectives and the reader/listener characteristics. Knowledge of the psycho‐relational approaches to power the effectiveness of the public speaking, the stimulus of the personal creativity and the capability of supervision and leading. MAKING AUTONOMOUS JUDGEMENTS. Ability to critically and competently evaluate approaches and solutions to problems of technical‐scientific communications. COMMUNICATE SKILLS. Ability to describe problems and solutions adopted to tackle issues of technical‐scientific communications. LEARNING SKILLS. Ability to broaden and deepen their knowledge on advanced topics of technical‐scientific communications.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

2nd year

Lesson	Semester	CFU	SSD	Language
10600538 \| LABORATORIO MULTISCIPLINARE DI ELETTRONICA	1st	12	ING-INF/01, ING-INF/02	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. The module presents the fundamentals of microwave measurements to characterize the devices used in typical microwave networks. The structure and the operation of state of the art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, noise factor, phase noise, time domain reflectometry). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, oscillators, mixers, guiding structures, resonators and antennas. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful students will be able to measure any typical microwave component with 1-port (e.g. lumped element R-L-C, resonators, antennas), 2-ports (e.g. attenuators, cables, waveguides, filters, amplifiers), 3-ports (e.g. power splitters, circulators, mixers), 4-ports (e.g. directional couplers). He/She will be able to choose the instrument and its settings most appropriate to measure the device under test with the measurement uncertainty required. Eventually students will get acquainted with state of the art Vector Network Analysers and Spectrum Analysers. MAKING AUTONOMOUS JUDGEMENTS. Laboratory activities require student autonomous judgements even if they are always conducted under the supervision of the teachers. COMMUNICATE SKILLS. The laboratory activities include group work, which enhances the student team working attitudes and communication skills. A scientific report of each activity is requested as well. LEARNING SKILLS. Small groups laboratory activities allow students to deepen the understanding of their knowledge, relying also on the interaction with other group members (each group is up to 3-4 students).
LABORATORIO II	1st	6	ING-INF/02	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. The module presents the fundamentals of microwave measurements to characterize the devices used in typical microwave networks. The structure and the operation of state of the art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, noise factor, phase noise, time domain reflectometry). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, oscillators, mixers, guiding structures, resonators and antennas. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful students will be able to measure any typical microwave component with 1-port (e.g. lumped element R-L-C, resonators, antennas), 2-ports (e.g. attenuators, cables, waveguides, filters, amplifiers), 3-ports (e.g. power splitters, circulators, mixers), 4-ports (e.g. directional couplers). He/She will be able to choose the instrument and its settings most appropriate to measure the device under test with the measurement uncertainty required. Eventually students will get acquainted with state of the art Vector Network Analysers and Spectrum Analysers. MAKING AUTONOMOUS JUDGEMENTS. Laboratory activities require student autonomous judgements even if they are always conducted under the supervision of the teachers. COMMUNICATE SKILLS. The laboratory activities include group work, which enhances the student team working attitudes and communication skills. A scientific report of each activity is requested as well. LEARNING SKILLS. Small groups laboratory activities allow students to deepen the understanding of their knowledge, relying also on the interaction with other group members (each group is up to 3-4 students).
10600538 \| LABORATORIO MULTISCIPLINARE DI ELETTRONICA	2nd	12	ING-INF/01, ING-INF/02	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. The module presents the fundamentals of microwave measurements to characterize the devices used in typical microwave networks. The structure and the operation of state of the art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, noise factor, phase noise, time domain reflectometry). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, oscillators, mixers, guiding structures, resonators and antennas. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful students will be able to measure any typical microwave component with 1-port (e.g. lumped element R-L-C, resonators, antennas), 2-ports (e.g. attenuators, cables, waveguides, filters, amplifiers), 3-ports (e.g. power splitters, circulators, mixers), 4-ports (e.g. directional couplers). He/She will be able to choose the instrument and its settings most appropriate to measure the device under test with the measurement uncertainty required. Eventually students will get acquainted with state of the art Vector Network Analysers and Spectrum Analysers. MAKING AUTONOMOUS JUDGEMENTS. Laboratory activities require student autonomous judgements even if they are always conducted under the supervision of the teachers. COMMUNICATE SKILLS. The laboratory activities include group work, which enhances the student team working attitudes and communication skills. A scientific report of each activity is requested as well. LEARNING SKILLS. Small groups laboratory activities allow students to deepen the understanding of their knowledge, relying also on the interaction with other group members (each group is up to 3-4 students).
LABORATORIO I	2nd	6	ING-INF/01	ITA
Educational objectives The module presents the fundamentals of radiofrequency and microwave measurements to characterize the devices used in telecommunication and radar systems. The structure and the operation of state of the art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, quality factor of resonators, time domain reflectometry, narrow band field measurements). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, guiding structures, resonators and lumped R-L-C components. Design of embedded digital systems: in the development of the laboratory, the entire chain of design, implementation and validation of a system is conducted, through the capture of user requirements, the drafting of specifications, the design of validation, definition of hardware and software architecture, choice of components, assembly and programming, execution of tests. The activity is based on a microcontroller system, integrated with sensors, actuators, communication systems. A specific part of the module also deals with RTL design for implementation on FPGA.
Elective course	2nd	12	ITA
AAF2182 \| PROVA FINALE - TESI DI LAUREA MAGISTRALE	2nd	20	ITA
Educational objectives Caratteristiche della prova finale La prova finale consiste nella discussione della tesi di laurea e comporta l'acquisizione di 20 crediti. La tesi di laurea è svolta dal candidato sotto la supervisione di un docente del Consiglio d'Area in Ingegneria Elettronica e costituisce un banco di prova per la verifica delle conoscenze acquisite dallo studente e della sua capacità di approfondirle ed applicarle in modo autonomo in un contesto specifico, contribuendo in prima persona all’identificazione di problemi e all’elaborazione e valutazione di soluzioni.
THREE-DIMENSIONAL MODELING
THREE-DIMENSIONAL MODELING

Electronics Engineering (percorso valido anche ai fini del conseguimento del doppio titolo italo-statunitense o italo-francese) - in lingua inglese

1st year

Lesson	Semester	CFU	SSD	Language
10589508 \| MICROWAVES	1st	9	ING-INF/02	ENG
Educational objectives ENG GENERAL Scope of the course is to provide the student with both the basic knowledge concerning guided propagation of electromagnetic fields, and the most important microwave devices and circuits. In particular, the teaching will deal with distributed-constant analysis, typical of microwave circuits, an overview of the principal microwave guiding structures and circuit elements, and the methodologies to analyze them. Specific • Knowledge and understanding: To know and understand the methodological aspects of microwave techniques to design circuit and devices at microwave frequencies • Applying knowledge and understanding: To be able to apply the techniques of analysis and synthesis for the design of microwave devices and circuits. • Making judgements: To be able to formulate an autonomous evaluation related to the use of microwave components and circuits in ICT applications; to be able to gather additional information to reach an increased knowledge about the guided-wave propagation and signal processing. • Communication skills: To be able to describe basic components of microwave circuits; to communicate the acquired knowledge. • Learning skills: The course allows students to acquire the study and analysis techniques of the main structures of interest in the microwave area.
10589761 \| INTEGRATED ELECTRONIC DEVICES	1st	9	ING-INF/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. UNDERSTANDING OF THE ELECTRIC AND ELECTRONIC MODELS THAT GOVERN THE OPERATION OF BASIC SEMICONDUCTOR COMPONENTS AND CURRENT TECHNOLOGICAL NODES CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. APPLICATION OF BASIC AND STATE OF THE ART MODELS FOR THE DESIGN OF INNOVATIVE COMPONENTS MAKING AUTONOMOUS JUDGEMENTS. EVALUATION OF THE LIMITS OF BASIC TECHNOLOGIES IN THE MANUFACTURE OF SEMICONDUCTOR COMPONENTS COMMUNICATE SKILLS. EXPRESS IN AN ANALYTICAL WAY THE EQUATIONS FOR THE SEMICONDUCTOR COMPONENTS OPERATION LEARNING SKILLS. ACQUISITION OF THE METHODOLOGIES FOR THE UNDERSTANDING OF THE FUNCTIONING OF SEMICONDUCTOR COMPONENTS AND MOORE’S SCALING
INTEGRATED ELECTRONIC DEVICES	1st	3	ING-INF/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. UNDERSTANDING OF THE ELECTRIC AND ELECTRONIC MODELS THAT GOVERN THE OPERATION OF BASIC SEMICONDUCTOR COMPONENTS AND CURRENT TECHNOLOGICAL NODES CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. APPLICATION OF BASIC AND STATE OF THE ART MODELS FOR THE DESIGN OF INNOVATIVE COMPONENTS MAKING AUTONOMOUS JUDGEMENTS. EVALUATION OF THE LIMITS OF BASIC TECHNOLOGIES IN THE MANUFACTURE OF SEMICONDUCTOR COMPONENTS COMMUNICATE SKILLS. EXPRESS IN AN ANALYTICAL WAY THE EQUATIONS FOR THE SEMICONDUCTOR COMPONENTS OPERATION LEARNING SKILLS. ACQUISITION OF THE METHODOLOGIES FOR THE UNDERSTANDING OF THE FUNCTIONING OF SEMICONDUCTOR COMPONENTS AND MOORE’S SCALING
INTEGRATED ELECTRONIC DEVICES	1st	6	ING-INF/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. UNDERSTANDING OF THE ELECTRIC AND ELECTRONIC MODELS THAT GOVERN THE OPERATION OF BASIC SEMICONDUCTOR COMPONENTS AND CURRENT TECHNOLOGICAL NODES CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. APPLICATION OF BASIC AND STATE OF THE ART MODELS FOR THE DESIGN OF INNOVATIVE COMPONENTS MAKING AUTONOMOUS JUDGEMENTS. EVALUATION OF THE LIMITS OF BASIC TECHNOLOGIES IN THE MANUFACTURE OF SEMICONDUCTOR COMPONENTS COMMUNICATE SKILLS. EXPRESS IN AN ANALYTICAL WAY THE EQUATIONS FOR THE SEMICONDUCTOR COMPONENTS OPERATION LEARNING SKILLS. ACQUISITION OF THE METHODOLOGIES FOR THE UNDERSTANDING OF THE FUNCTIONING OF SEMICONDUCTOR COMPONENTS AND MOORE’S SCALING
10621418 \| OPTOELECTRONICS AND PHOTONIC APPLICATIONS	1st	9	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals for several applications, from telecom, to sensors, to optical instrumentation. The student will acquire the expertise to design and to evaluate performance of most optoelectronic devices. SPECIFIC • Knowledge and understanding: knowledge of phenomena, materials, devices and optoelectronic techniques related for the transmission of information by means of optical signals. • Applying knowledge and understanding: capabilities to design and to evaluate performance of devices according to the specifications provided, both by lectures and laboratory experiences, for specific applications from telecom, to sensors, to optical instrumentation. • Making judgements: expertise to design and to evaluate performance of most optoelectronic devices for any optoelectronic system. • Communication skills: capabilities to communicate in both written and oral form on the contents of the course, by means of written reports and oral discussions both in the classroom and during the exam. • Learning skills: capabilities to learn the contents of the course by several means using lecture notes, books, technical and scientific literature available on web, laboratory experiences.
OPTOELECTRONICS	1st	3	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides a consistent knowledge of characteristics and design techniques of fiber optic systems. Both class lectures and laboratory projects will be given. The goal of the course is to make the students able to design WDM (Wavelength Division Multiplexing) wide band fiber optical links and to evaluate their performance. Furthermore state of the art will be presented by means of seminars given by invited experts of international level. SPECIFIC • Knowledge and understanding: Knowledge of characteristics and design techniques of fiber optics systems. Both class lectures and laboratory projects will be given. • Applying knowledge and understanding: capabilities to design WDM (Wavelength Division Multiplexing) wide band fiber optical links and to evaluate their performance.. • Making judgements: abilty to recognize the structure and specifications of the main photonic systems. Ability to design of a system operating either at single or multiple wavelengths (WDM systems). Ability to recognize physical phenomena, which limit the performance of fiber optic systems. • Communication skills: capabilities to communicate in both written and oral form on the contents of the course, by means of written reports and oral discussions both in the classroon and during the exam. • Learning skills: capabilities to learn the contents of the course by several means using lecture notes, books, technical and scientific literature available on web, laboratory experiences as indicated by the teacher.
PHOTONICS	1st	6	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals for several applications, from telecom, to sensors, to optical instrumentation. The student will acquire the expertise to design and to evaluate performance of most optoelectronic devices. SPECIFIC • Knowledge and understanding: knowledge of phenomena, materials, devices and optoelectronic techniques related for the transmission of information by means of optical signals. • Applying knowledge and understanding: capabilities to design and to evaluate performance of devices according to the specifications provided, both by lectures and laboratory experiences, for specific applications from telecom, to sensors, to optical instrumentation. • Making judgements: expertise to design and to evaluate performance of most optoelectronic devices for any optoelectronic system. • Communication skills: capabilities to communicate in both written and oral form on the contents of the course, by means of written reports and oral discussions both in the classroom and during the exam. • Learning skills: capabilities to learn the contents of the course by several means using lecture notes, books, technical and scientific literature available on web, laboratory experiences.
10621510 \| COMMUNICATION THEORY AND ENGINEERING	1st	6	ING-INF/03	ENG
Educational objectives The goal of the course of Communication Theory and Engineering is to provide the skills required to design and analyse advanced communication systems, focusing in particular on topics related to information measure and information theory, source coding and channel coding. The course has furthermore the goal of introducing advanced modulation schemes adopted in 4G and 5G communication systems. SPECIFIC • Knowledge and understanding: information theory, source coding and channel coding. Channel capacity for a single link and for multiple access systems • Applying knowledge and understanding: analysis of information that can be transferred in a communication system, and proper selection and configuration of channel coding and source coding algorithms • Making judgements: ability to design and dimension a communication link and system, correctly identifying constraints and objectives to be met for performance indicators, and finding the most efficient solution for each block in the communication chain, from source to destination. • Communication skills: N/A • Learning skills: acquire knowledge allowing the student to properly assess communication systems in terms of capacity and transferred information.
10589407 \| DIGITAL INTEGRATED SYSTEM ARCHITECTURES	2nd	9	ING-INF/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. Digital VLSI circuits, RTL design, VHDL, microprocessor architectures. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Digital circuit design, FPGA/ASIC synthesis, microprocessor design/programming. MAKING AUTONOMOUS JUDGEMENTS. Evaluation of design alternatives and technologies to be used. COMMUNICATE SKILLS. Specification and modeling of digital systems. LEARNING SKILLS. Any subsequent advancement on digital circuits, architectures and programming.
10589483 \| RADIOFREQUENCY ELECTRONIC SYSTEMS	2nd	9	ING-INF/01	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with the criteria and procedures for the design of devices such as oscillators, amplifiers, mixers and filters widely used in telecommunication, radar and biomedical systems. The CAD exercises, planned as an integral part of the course, complete the project also highlighting the technological and manufacturing aspects. Students who have successfully passed the course will be ready to undertake a design activity in companies in the RF system sector. SPECIFIC • Knowledge and understanding: The course aims to provide the student with the knowledge needed to design radio frequency and microwave circuits. Particular attention is paid to the design of oscillators, amplifiers, mixers and filters. • Applying knowledge and understanding: The theoretical part is complemented by CAD techniques for the design and implementation of radiofrequency circuits applied in interdisciplinary contexts such as radar, telecommunications and biomedical devices. • Making judgements: The CAD design activities, which are an integral part of the course and the object of verification through a specific design practical test, also have the objective of developing the autonomy of the candidate. • Communication skills: CAD design activities involve group work that develop communication and interaction skills. • Learning skills: In addition to the teaching material provided, the student is encouraged to study in an autonomous way using the scientific literature made available and other material available on the web.
AAF1880 \| ELEMENTS OF TECHNICAL SCIENTIFIC COMMUNICATION	2nd	1	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. To learn the fundamental elements of the technical‐scientific writing and interpersonal communication, tools that the graduates in scientific and technological disciplines in any sector use to disseminate data, facts, opinions, recommendations to the colleagues and the professional community where they will be involved. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Capability to write a thesis, a summary, a report, an article, following the rules of the text canonical structure and starting from the plan of the communication objectives and the reader/listener characteristics. Knowledge of the psycho‐relational approaches to power the effectiveness of the public speaking, the stimulus of the personal creativity and the capability of supervision and leading. MAKING AUTONOMOUS JUDGEMENTS. Ability to critically and competently evaluate approaches and solutions to problems of technical‐scientific communications. COMMUNICATE SKILLS. Ability to describe problems and solutions adopted to tackle issues of technical‐scientific communications. LEARNING SKILLS. Ability to broaden and deepen their knowledge on advanced topics of technical‐scientific communications.
THREE-DIMENSIONAL MODELING

2nd year

Lesson	Semester	CFU	SSD	Language
10600539 \| MULTIDISCIPLINARY LABORATORY OF ELECTRONICS	1st	12	ING-INF/01, ING-INF/02	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with specific knowledge on the main instrumentation used in the field of radio frequency and microwave measurements. Thanks to the various experiences carried out in the laboratory, the course aims to provide students with the theoretical and practical skills to be able to independently face functional tests of electronic components and devices. Students will be able to choose both the instrument and its configuration most suitable to characterize the device with the uncertainty required by the measurement. SPECIFIC • Knowledge and understanding: The module presents the fundamentals of microwave measurements to characterize the devices used in typical microwave systems. The structure and the operation of state-of-the-art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, noise factor, phase noise, time domain reflectometry, etc..). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, oscillators, mixers, guiding structures, resonators and antennas. • Applying knowledge and understanding: Successful students will be able to measure any typical microwave component with 1-port (e.g., lumped element R-L-C, resonators, antennas), 2-ports (e.g. attenuators, cables, waveguides, filters, amplifiers), 3-ports (e.g. power splitters, circulators), 4-ports (e.g. directional couplers). He/She will be able to choose the instrument and its settings most appropriate to measure the device under test with the measurement uncertainty required. Eventually students will get acquainted with state-of-the-art Vector Network Analyzers and Spectrum Analyzers. • Making judgements: Laboratory activities require student autonomous judgements even if they are always conducted under the supervision of the teachers. • Communication skills: The laboratory activities include group work, which enhances the student team working attitudes and communication skills. A scientific report of each activity is requested as well. • Learning skills: Small groups laboratory activities allow students to deepen the understanding of their knowledge, relying also on the interaction with other group members (each group is up to 3-4 students).
MULTIDISCIPLINARY LABORATORY OF ELECTRONICS II	1st	6	ING-INF/02	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with specific knowledge on the main instrumentation used in the field of radio frequency and microwave measurements. Thanks to the various experiences carried out in the laboratory, the course aims to provide students with the theoretical and practical skills to be able to independently face functional tests of electronic components and devices. Students will be able to choose both the instrument and its configuration most suitable to characterize the device with the uncertainty required by the measurement. SPECIFIC • Knowledge and understanding: The module presents the fundamentals of microwave measurements to characterize the devices used in typical microwave systems. The structure and the operation of state-of-the-art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, noise factor, phase noise, time domain reflectometry, etc..). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, oscillators, mixers, guiding structures, resonators and antennas. • Applying knowledge and understanding: Successful students will be able to measure any typical microwave component with 1-port (e.g., lumped element R-L-C, resonators, antennas), 2-ports (e.g. attenuators, cables, waveguides, filters, amplifiers), 3-ports (e.g. power splitters, circulators), 4-ports (e.g. directional couplers). He/She will be able to choose the instrument and its settings most appropriate to measure the device under test with the measurement uncertainty required. Eventually students will get acquainted with state-of-the-art Vector Network Analyzers and Spectrum Analyzers. • Making judgements: Laboratory activities require student autonomous judgements even if they are always conducted under the supervision of the teachers. • Communication skills: The laboratory activities include group work, which enhances the student team working attitudes and communication skills. A scientific report of each activity is requested as well. • Learning skills: Small groups laboratory activities allow students to deepen the understanding of their knowledge, relying also on the interaction with other group members (each group is up to 3-4 students).
10600539 \| MULTIDISCIPLINARY LABORATORY OF ELECTRONICS	2nd	12	ING-INF/01, ING-INF/02	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with specific knowledge on the main instrumentation used in the field of radio frequency and microwave measurements. Thanks to the various experiences carried out in the laboratory, the course aims to provide students with the theoretical and practical skills to be able to independently face functional tests of electronic components and devices. Students will be able to choose both the instrument and its configuration most suitable to characterize the device with the uncertainty required by the measurement. SPECIFIC • Knowledge and understanding: The module presents the fundamentals of microwave measurements to characterize the devices used in typical microwave systems. The structure and the operation of state-of-the-art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, noise factor, phase noise, time domain reflectometry, etc..). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, oscillators, mixers, guiding structures, resonators and antennas. • Applying knowledge and understanding: Successful students will be able to measure any typical microwave component with 1-port (e.g., lumped element R-L-C, resonators, antennas), 2-ports (e.g. attenuators, cables, waveguides, filters, amplifiers), 3-ports (e.g. power splitters, circulators), 4-ports (e.g. directional couplers). He/She will be able to choose the instrument and its settings most appropriate to measure the device under test with the measurement uncertainty required. Eventually students will get acquainted with state-of-the-art Vector Network Analyzers and Spectrum Analyzers. • Making judgements: Laboratory activities require student autonomous judgements even if they are always conducted under the supervision of the teachers. • Communication skills: The laboratory activities include group work, which enhances the student team working attitudes and communication skills. A scientific report of each activity is requested as well. • Learning skills: Small groups laboratory activities allow students to deepen the understanding of their knowledge, relying also on the interaction with other group members (each group is up to 3-4 students).
MULTIDISCIPLINARY LABORATORY OF ELECTRONICS I	2nd	6	ING-INF/01	ENG
Educational objectives ENG GENERAL The module presents the fundamentals of radiofrequency and microwave measurements to characterize the devices used in telecommunication and radar systems. The structure and the operation of state of the art Vector Network Analyzers and Spectrum Analyzers are described as well as various measurement techniques (frequency response, quality factor of resonators, time domain reflectometry, narrow band field measurements). The calibration techniques and the evaluation of the measure uncertainty are discussed too. Extensive laboratory measurements are foreseen on typical filters, attenuators, dividers, directional couplers, amplifiers, guiding structures, resonators and lumped R-L-C components. Design of embedded digital systems: in the development of the laboratory, the entire chain of design, implementation and validation of a system is conducted, through the capture of user requirements, the drafting of specifications, the design of validation, definition of hardware and software architecture, choice of components, assembly and programming, execution of tests. The activity is based on a microcontroller system, integrated with sensors, actuators, communication systems. A specific part of the module also deals with RTL design for implementation on FPGA. SPECIFIC • Knowledge and understanding: ability to characterize analog systems, components and systems; ability to define the specifications of an embedded system and design its validation • Applying knowledge and understanding: ability to perform measurements on high-frequency analog systems; ability to implement an embedded system based on a microcontroller and containing sensors, actuators and peripherals of different types. • Making judgements: ability to make appropriate design choices based on specific requests • Communication skills: ability to draft a technical report. • Learning skills: ability to understand the requirements of a technical activity, to select instrumentation and components oriented towards a design objective and to read technical documents (application notes, datasheets).
Elective course	2nd	12	ITA
AAF2182 \| PROVA FINALE - TESI DI LAUREA MAGISTRALE	2nd	20	ITA
Educational objectives Caratteristiche della prova finale La prova finale consiste nella discussione della tesi di laurea e comporta l'acquisizione di 20 crediti. La tesi di laurea è svolta dal candidato sotto la supervisione di un docente del Consiglio d'Area in Ingegneria Elettronica e costituisce un banco di prova per la verifica delle conoscenze acquisite dallo studente e della sua capacità di approfondirle ed applicarle in modo autonomo in un contesto specifico, contribuendo in prima persona all’identificazione di problemi e all’elaborazione e valutazione di soluzioni.
THREE-DIMENSIONAL MODELING

Optional groups

The student must acquire 12 CFU from the following exams

Lesson	Year	Semester	CFU	SSD	Language
1021814 \| Bioelectromagnetic Interaction I	1st	1st	6	ING-INF/02	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. Knowledge of the methodological instruments and of the fundamental topics related to bioelectromagnetism (interaction of EM fields with molecular structures, EM techniques to evaluate fields induced on cellular compartments, quantitative evaluation of electromagnetic action on membranes and cellular channels, integrated models of cellular behaviour), issues that represent the ground for analysing and testing new therapeutic and diagnostic techniques. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Ability in the processing of the bioelectromagnetic modelling in an application-oriented viewpoint, in order to predict the specific phenomena related to the use of the electromagnetic fields in therapy and diagnostic. MAKING AUTONOMOUS JUDGEMENTS. Valid potential of critical analysis on the fundamental applicative issues related to the use of the electromagnetic fields in therapy and diagnosis. COMMUNICATE SKILLS. Acquisition of good awareness for the dissemination of the scientific and technical knowledges in bioelectromagnetics. LEARNING SKILLS. Gradual achievement and extension of a deep knowledge level useful for the education of a professional figure expert in using EM exposure of humans to develop diagnostic and therapeutic tools.
1056181 \| RECUPERO DI ANTENNE	1st	1st	6	ING-INF/02	ITA
Educational objectives The goal of the course is for the illustration of the fundamental concepts of the theory of antennas and their application to information technology. The theory of electromagnetic radiation provides the framework within which to develop analysis of linear antennas, for opening and alignments. The course aims to develop is the ability to characterize their properties of antennas is the ability to assess specific antennas for radio-propagation and remote sensing.
1056183 \| RECUPERO DI COMUNICAZIONI ELETTRICHE	1st	1st	6	ING-INF/03	ITA
Educational objectives The goal of the course of Comunicazioni Elettriche I is to provide the skills for the link budget in a communication system, by addressing the key topics relevant to information transfer by means of electrical, electromagnetic and optical signals. The course aims at providing the student with the methodologies and theoretical knowledge required to understand issue related to the fundamentals of communication systems. By the end of the course the student should be capable of completing a link budget under nominal conditions for analogue and digital communications systems adopting both line and wireless media. SPECIFIC • Knowledge and understanding: analogue and digital modulation techniques, propagation of signals through wireless, cable and fiber media, and path loss characterization of the same media. • Applying knowledge and understanding: skills required to carry out the performance analysis of a communication link in terms of indicators sucbh as Signal-to-Noise Ratio and Bit Error Probability. • Making judgements: ability to design and determine budget for a communication link under nominal conditions, taking into account signal characteristics (power, bandwidth), and properly determining relevant parameters for the blocks forming the transmitter-receiver chain. • Communication skills: N/A • Learning skills: acquire knowledge allowing the student to properly assess a communication link under ideal conditions, enabling at later stages of the academic course the study of communication systems under real conditions, taking into account the characteristics of sources, channels, and multiple access techniques in multiuser systems.
1056184 \| RECUPERO DI ELETTRONICA II	1st	1st	6	ING-INF/01	ITA
Educational objectives UNDERSTANDING OF HOW feedback TECHNIQUE FOR ACTIVE CONTROL OF THE PERFORMANCE OF A TRANSISTOR AMPLIFIERS. PROBLEMS OF TRADE OFF BETWEEN LOYALTY AND STABILITY IN AMPLIFIERS feedback. THEMES IN THE STUDY OF NOISE IN ELECTRONIC DEVICES AND CIRCUITS AND HER MODELING FOR THE PURPOSE BY CALCULATIONS. ANALOG INTEGRATED CIRCUITS, PERFORMANCE AND CONTROL OF DEGREES OF FREEDOM FOR DESIGNERS. CAPACITY ANALYSIS AND CIRCUIT FOR APPORZIONAMENTO (INTEGRATIEDISCRETI) ANALOG COMPLEX (E.G.OPA). ACQUISITION OF CONVERSION OF TECHNICAL AND DEDA MPLEMENTAZIONI.
1056185 \| RECUPERO DI ELETTRONICA DIGITALE	1st	1st	6	ING-INF/01	ITA
Educational objectives The objective of the course is to introduce the anlaysis and design of digital systems. At the end of the course the student will know the essential concepts of digital electronics, will know the scenario of methodologies and of realization alternatives, will be able to understand the technical documentation of digital systems and components, will be able to set up and solve simple problems of analysis or design of digital circuits and systems.
1041750 \| NANOELECTRONICS LABORATORY	1st	1st	6	ING-INF/01	ENG
Educational objectives The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies. During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers. In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.
1021777 \| Analog electronics with applications	1st	2nd	6	ING-INF/01	ITA
Educational objectives A NALYSIS OF COMPLEX ANALOG INTEGRATED CIRCUITS . P ERFORMANCE STABILIZATION THROUGH FEEDBACK TECHNIQUE ANALYSIS , FEEDBACK CIRCUITS STABILITY ANALYSIS . C URRENT PROCESSING TECHNIQUES , BASIC CELLS TO IMPLEMENT CURRENT PROCESSING . C OA ALTERNATIVES . LOW VOLTAGE ANALOG SIGNAL PROCESSING . COMPLEX SYSTEMS FOR ANALOG SIGNAL PROCESSING : ACTIVE FILTERS , DISCRETE TIME BUILDING BLOCKS , ADC PIPELINE AS AN EXAMPLE OF DISCRETE TIME SYSTEM .
1042023 \| Theory of electronic circuits	1st	2nd	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The course covers the main techniques of systematic design of electronic circuits. The essential core of the course is the theory of the synthesis of linear active continuous-time and discrete-time circuits. The different technologies for the implementation of transfer functions (filters) and for the synthesis and transformation of impedance by means of active circuits are studied. SPECIFIC • Knowledge and understanding: to know the different technologies for the implementation of transfer functions (filters) and for the synthesis and transformation of impedance through active circuits. Starting from the classical technologies based on operational amplifiers, the most modern design methodologies of active circuits oriented to the implementation on CMOS integrated circuits will be explored. The final part of the course will deal with the implementation of IIR and FIR digital filters. • Applying knowledge and understanding: to apply active filter design methodologies, ability to perform the entire design flow from system level, to CMOS circuit implementation. • Making judgements: ability to make appropriate design choices based on the required specifications, also considering the required silicon area and power consumption requirements. • Communication skills: to be able to describe the design flow followed, justifying the choices made at the various design steps, through appropriate calculations or simulation results. • Learning skills: ability to independently carry out a project assigned by the teacher in which the main concepts studied in the theory lessons are applied. Ability to use the CAD software used during the course.
1023029 \| Image processing	1st	2nd	6	ING-INF/03	ITA
Educational objectives GENERAL The course aims at providing the student with an overall vision of the image processing issues, such as the use of transformed domain, filtering, encoding, and of its main applications tc.) (such as restoration, denoising, enhancement, tomography, etc. At the end of the Course the student is aware of the main representation domains of signals and images both in continuous and discrete domain and can manage software for image processing purposes. Through developing in depth theoretical and practical projects the students gains ability of i) autonomously comprehending cutting edge image processing papers, ii) presenting their contents, iii) realizing and critically analysing image processing experiments. The above goals are detailed in the followig SPECIFIC • Knowledge and understanding of the discrete and continuous, spatial and frequency image representation domains. Achieve a big picture of image processing theoretical background. Gain knowledge and understanding of the main image processing tasks (Recovery, Denoising, Enhancement, Morphological filtering, Segmentation, etc). • Applying knowledge and understanding: be able to design novel algorithms for advanced image processing tasks, • Making judgements: be able to compute performances and develop a critical evaluation of the collected results, as well as of the algorithm parameters and their impact on the processing output. • Communication skills: present and describe innovative solutions • Learning skills: Be able to read scientific papers and technical standard on the most advanced solutions for image processing
1038139 \| Embedded Systems	1st	2nd	6	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides: the basics of the design of digital circuits for embedded systems, the ability to make decisions in the derivation of design solutions from technical specifications, selecting the most suitable architectures for different applications. SPECIFIC • Knowledge and understanding: to know the architectures for embedded systems in their different shapes and characteristics, to know the architectures of 8, 16 and 32 bit CPUs, the characteristics of an Instruction Set Architecture, the typical characteristics of external units: memories, timers, interrupt controllers, communication units. Building toolchains for embedded systems, high-level languages and assembly, code analysis and debugging. • Applying knowledge and understanding: to apply embedded system design methodologies, ability to write code characteristic of embedded systems (e.g. direct access to hardware, interrupt routines). • Making judgements: to carry out embedded systems design solutions based on requirements. • Communication skills: to know how to describe the solutions chosen to solve the design problem: characteristics of instruction set architectures, required level of programming (C language, assembly), expected performance and description of the organization of the software project. • Learning skills: ability to continue subsequent studies considering more advanced hardware/software architectures, for example multicore systems or microkernel-based systems.
1042004 \| Advanced Antenna Engineering	1st	2nd	6	ING-INF/02	ITA
Educational objectives GENERAL The course aims to introduce student: to fundamental theorems and antenna parameters; to advanced theory of antenna arrays, antenna diversity, MIMO systems, periodic structures; to the analysis and design of resonant and traveling-wave antennas; to numerical methods in electromagnetics and to the method of memonts in particular; to a survey of sundry topics in the antenna field. SPECIFIC • Knowledge and understanding: to know analytical and numerical methods for the analysis of antenna arrays, of periodic structures through equivalent networks, of planar resonant and traveling-wave antennas. • Applying knowledge and understanding: to know how to apply the methods to the analysis and design of different classes of radiating systems. • Critical and judgmental skills: to be able to select the most convenient antenna solution for various application scenarios, to select approximate models for carrying out a preliminary design, to select numerical methods for achieving the final design through full-wave simulations. • Communication skills: to be able to describe the design solutions adopted for resonant and traveling-wave antennas and the relevant numerical simulation. Communication skills are realized by means of oral expositions on single topics about modelling, design, and antenna simulation. • Learning skills: ability to deepen the acquired analysis and design skills and navigate the relevant scientific literature.
1042021 \| Equipments and techniques for diagnostics	1st	2nd	6	ING-INF/02	ITA
Educational objectives ENG GENERAL The aim of the course is to provide students with specific knowledge on the main instrumentation used in the biomedical field. The theoretical activities, highly interdisciplinary, aim to develop the candidate's ability to connect the mathematical methods and techniques learned in other courses of study. The seminar activities, also carried out by external researchers, also aim to develop communication and interaction skills. SPECIFIC • Knowledge and understanding: The course aims to get the student to acquire knowledge for the instrumentation project for medical diagnostics. Particular attention is given to the design of nuclear magnetic resonance equipment, hospital monitors and ultrasound • Applying knowledge and understanding: The theoretical part is supplemented by application seminars on commercial solutions and research activities in various areas of medical instrumentation, including innovative such as impedance tomography and radar applications in medicine • Making judgements: The theoretical, highly interdisciplinary activities aim to develop the candidate's ability to link mathematical methods and techniques learned in other courses of study • Communication skills: Seminar activities, also carried out by external researchers, are also aimed at developing communication and interaction skills. • Learning skills: . In addition to the teaching material provided, the student is encouraged to study in an autonomous way using the scientific literature made available and other material available on the web.
1021745 \| Discrete time circuits	1st	2nd	6	ING-IND/31	ITA
Educational objectives The general goal of this course is to provide the methodologies to understand and to analyze discrete time circuits, by the acquisition of fundamental mathematical tools and the comparison with the knowledge acquired in the course of Circuit Theory. SPECIFIC • Knowledge and understanding: after this class, students will be able of analyzing general architectures of discrete time circuits and to face simple problems of synthesis. • Applying knowledge and understanding: students will be able of applying learnt methodologies to more general problems, typical of Electronics. • Making judgements: students will be able of integrating acquired knowledge with those given in the whole Laurea degree. • Communication skills: students will be able of transmitting the acquired knowledge and fully explaining the processes that lead to them. • Learning skills: students will be able to manage their study in an autonomous way.
1019319 \| Informarmation theory and codes	1st	2nd	6	ING-INF/03	ITA
Educational objectives Knowledge of fundamentals of information theory, source and channel coding, crypto and main algorithms employed in practical applications. Basics of biometry. Specific · Knowledge and understanding: methods for source and channel co-decoding and crypto, methods of biometry. · Applying knowledge and understanding: to know how to apply co-decoding techniques, in a competent and critical fashion. · Making judgements: (none) · Communication skills: to know how to describe the solutions adopted to solve co-decoding and information communication problems. · Learning skills: ability to continue successive studies concerning digital communication systems.
1042013 \| Electromagnetic compatibility	1st	2nd	6	ING-INF/02	ITA
Educational objectives ENG GENERAL Successful students will be able to evaluate the electromagnetic performances, the crosstalk level, and the susceptibility of simple or multiconductor microstrip interconnecting lines, and to model parasitic effects due to bends, junctions, and discontinuities. Moreover, they will be able to determine the parameters responsible for the spurious emission and signal integrity so to establish design guidelines useful to reduce the EMC/EMI problems in electronic equipment. SPECIFIC • Knowledge and understanding: Knowledge and understanding the methodological aspects related to electromagnetic compatibility issues. • Applying knowledge and understanding: Know how to apply skills to solve electromagnetic compatibility problems in sensitive electronic devices, circuits and systems. • Making judgements: Be able to develop analytical and numerical models to predict parasitic coupling effects, signal distortion and radiated emission. • Communication skills: Ability to interact effectively with specialists and non-specialists on technical issues related to EMC problems in sensitive electronic devices, circuits and systems. • Learning skills: Know how to search on bibliographic sources and specialist texts in order to deepen and increase knowledge in the field.
1042016 \| ADVANCED ELECTROMAGNETICS AND SCATTERING	1st	2nd	6	ING-INF/02	ITA
Educational objectives ENG GENERAL The course is aimed to present an overview of some advanced topics in Electromagnetics, of considerable importance for the applications, and an introduction to electromagnetic scattering. Key instruments extensively used for their physical intuition and representative power are the modal expansion with the relevant equivalent distributed circuits, and the plane‐wave spectra. The concepts of Green’s function and integral representation are also studied in depth. Specific • Knowledge and understanding: The course is aimed at presenting an overview of some advanced topics in Electromagnetics, of considerable importance for the applications, and an introduction to electromagnetic scattering. • Applying knowledge and understanding: Students will be able to have an overall vision of modern electromagnetics, with particular reference to the unifying methodological aspects and to the mathematical techniques employed, which will allow them to easily find their bearings in successive study or in job positions, due to the great generality of the faced themes. In particular, the students will have understood in depth the principal concepts of guided and free propagation, as well as the approach to the scattering problems, solved both in closed form (canonical problems) and numerically. • Making judgements: To be able to formulate a proper evaluation relevant to the Course topics and their importance in the applications. To be able to collect and critically evaluate additional information to achieve a greater awareness of the Course topics. • Communication skills: To be able to describe the Course topics. To be able to communicate the knowledge acquired on the Course topics. • Learning skills: Key instruments extensively used for their physical intuition and representative power are the modal expansion with the relevant equivalent distributed circuits, and the plane‐wave spectra. The concepts of Green’s function and integral representation are also studied in depth.
1041749 \| LASER FUNDAMENTALS	1st	2nd	6	FIS/01	ENG
Educational objectives Generals The aim of the course is to provide the student with an understanding of the principles of operation of active optical devices based on the interaction of light with nanoscale systems; it also wants to provide an understanding of the most current laser design and construction techniques (q-dots, photonic crystal laser) and their uses in the field of optoelectronics, quantum information and also in diagnostics that use miniaturized optical sources Specifics • Knowledge and understanding: know analytical methods to understand how lasers work in various fields, as well as know the basic technology of quantum electronics • Ability to apply knowledge and understanding: apply analysis and learning methodologies, through activities also in the laboratory. • Critical and judgmental skills: tests are carried out • Communication skills: knowing how to describe what has been learned in the field of knowledge of technologies operating laser devices. The communication skills are realized by addressing some fundamental topics with the request for active participation in the solution of problems, based on the knowledge acquired from previous lessons or from courses already passed. • Ability to continue the study independently throughout life: ability to continue subsequent studies concerning advanced themes of photonics and quantum electronics, based on the acquired analysis and project methodologies.
1042012 \| OPTICS	1st	2nd	6	FIS/01	ITA
Educational objectives The course has as its objective to acquire detailed knowledge on light, his behavior and the major optical components and devices adapted to its processing. The lessons are then directed to deepen the knowledge of the propagation of light as waves, analyzing the phenomena of interference and diffraction. They will be analyzed, in geometrical optics regime, the main optical and active components as well as the guided optical properties. Will data elements for the advanced optical design.
1044589 \| Pattern Recognition	1st	2nd	6	ING-IND/31	ITA
Educational objectives ENG GENERAL The course aims to provide students with a solid theoretical and practical foundation in Pattern Recognition techniques, with a focus on classification and clustering problems, in both algebraic and non-algebraic domains, and Natural Language Processing through Transformers architectures. By the end of the course, students will be able to critically understand and interpret advanced scientific texts in the field, gaining in-depth knowledge of state-of-the-art methodologies. They will also be capable of independently applying the learned principles and algorithms to design Pattern Recognition systems in multidisciplinary contexts, consciously selecting the most suitable approach based on the specific problem requirements. The course also fosters the development of transversal skills: students will learn to effectively document their work through technical reports and presentations, clearly communicating methods, results, and performance assessments. Finally, a central objective of the course is to promote a mindset of continuous learning, which is essential to keep skills up to date in the ever-evolving ICT landscape. SPECIFIC • Knowledge and understanding: The course provides the basic principles of Pattern Recognition techniques, focusing on classification and clustering in domains that are not necessarily algebraic. Students who pass the final exam will be able to read and understand scientific texts and articles on advanced topics in the field of Pattern Recognition. • Applying knowledge and understanding: Students who pass the final exam will be able to apply the studied methodological principles and algorithms to design innovative Pattern Recognition systems in multidisciplinary contexts. • Making judgements: Students who pass the final exam will be able to analyze design requirements and select the classification system that best fits the specific case study. • Communication skills: Students who pass the final exam will be able to write a technical report and create an appropriate presentation documenting the design, development, and performance evaluation of a Pattern Recognition system. • Learning skills: Students who pass the final exam will be able to independently deepen their understanding of the topics covered in class, engaging in the continuous learning process that characterizes professional development in the ICT field.
1042011 \| ACCELERATOR PHYSICS AND RELATIVISTIC ELECTRODYNAMICS	1st	2nd	6	FIS/01	ENG
Educational objectives ENG GENERAL The course aims to provide students with an understanding of the principles of special relativity with a focus on the application to particle accelerator physics. The connection between relativity and classical mechanics, electromagnetism and the transformation of fields between inertial reference frames will be discussed. The course will also introduce the fundamentals of relativistic motion of charges in electric and magnetic fields, with a focus on the operation of modern particle accelerators, including linear accelerators, cyclotrons and synchrotrons. The final goal is to provide students not only with the theoretical knowledge but also with the practical skills needed to analyze and design particle acceleration schemes and related devices. Through the study of betatron and synchrotron motion, students will be able to understand the operation of circular accelerators and to use simulation tools such as the XSuite code (https://xsuite.readthedocs.io/en/latest/) independently. SPECIFIC • Knowledge and understanding: to acquire knowledge of the principles of special relativity and their application to the physics of particle accelerators, including the transformations of electromagnetic fields between inertial systems and the operation of linear and circular accelerators. • Applying knowledge and understanding: to analyze the motion of charges in different devices such as magnetic dipoles and quadrupoles, as well as evaluate the power radiated by electric charges in circular accelerators. • Making judgements: to develop the ability to evaluate the operation of circular accelerators through the study of the motion of betatrons and synchrotrons and to independently use the XSuite code for the simulation of beam dynamics. • Communication skills: explain clearly and rigorously, the concepts related to particle accelerators, using the appropriate technical language. • Learning skills: to develop skills that will allow a student to independently study advanced topics in the field of accelerator physics and related technologies.
1056158 \| MACHINE LEARNING FOR SIGNAL PROCESSING	1st	2nd	6	ING-IND/31	ITA
Educational objectives ENG GENERAL The course “Machine Learning for Signal Processing” aims to provide a solid understanding of machine learning techniques applied to signal processing. Starting from foundational concepts in supervised, unsupervised, and generative learning, students are guided through the analysis, modeling, and synthesis of complex signals using neural and probabilistic models. The course covers classical architectures such as multilayer perceptrons, convolutional and recurrent networks, and progresses to advanced generative models like autoencoders, GANs, and diffusion models, with applications in audio, biomedical, and time-series signals. Through a mix of theoretical lectures and hands-on Python notebooks, the course enables students to design intelligent systems for signal analysis and critically evaluate their outcomes. SPECIFIC • Knowledge and understanding: Understand the principles of machine learning and how they apply to signal processing tasks. • Applying knowledge and understanding: Be able to implement and adapt machine learning models across various signal domains (audio, biomedical, temporal). • Making judgements: Justify the selection of suitable methods based on the nature of the signal and the problem at hand. • Communication skills: Effectively communicate approaches, results, and implications of signal analysis using machine learning techniques. • Learning skills: Develop autonomy in studying new techniques and applying models to novel datasets.
1056086 \| GROUND PENETRATING RADAR	1st	2nd	6	ING-INF/02	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. The main goal of this interdisciplinary course is to provide students with theoretical and practical knowledge necessary for a safe, effective and advanced use of Ground-Penetrating Radar (GPR) technique in a wide range of application areas. Successful Students will gain a wide up-to-date perspective on GPR technology and methodology. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful Students will be able to use GPR instrumentation in several application areas. They will also be able to use electromagnetic modelling and data processing software tools. MAKING AUTONOMOUS JUDGEMENTS. Successful Students will be able to properly choose GPR equipment, design a survey and acquire reliable data in different application areas. They will know how to model GPR scenarios, process and interpret radargrams, besides having understood how GPR can be associated to complementary non-invasive approaches. COMMUNICATE SKILLS. Successful Students will be able to share knowledge about what they learnt in both academia and industry environments. LEARNING SKILLS. Successful Students will be ready to study more in depth the topics covered by this course.
10589170 \| Artificial materials - metamaterials and plasmonics for electromagnetic applications	1st	2nd	6	ING-INF/02	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. The Course is aimed to provide the general electromagnetic theory of artificial materials, metamaterials and plasmonic structures, of considerable importance in many recent applications. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The students will be able to model from the electromagnetic point of view, and to simulate the relevant behaviour using numerical techniques, some materials of particular interest in the applications. MAKING AUTONOMOUS JUDGEMENTS. Written reports will be compiled. COMMUNICATE SKILLS. Oral presentations will be performed. LEARNING SKILLS. Key instruments extensively used for their physical intuition and representative generality are the constitutive relations, the homogenization concept and the equivalent-circuit representations.
10589516 \| OPTICAL QUANTUM TECHNOLOGY	1st	2nd	6	FIS/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. COMMUNICATE SKILLS. LEARNING SKILLS
10589485 \| THERAPEUTIC APPLICATIONS OF LOW FREQUENCY ELECTROMAGNETIC FIELDS	1st	2nd	6	ING-INF/02	ENG
Educational objectives The main goal of this interdisciplinary course is to provide students theoretical and practical knowledge necessary for the understanding of important biomedical applications of widespread clinical use based on the biological effects of electromagnetic fields. Passing the exam, students will have an overview of clinical applications based on electromagnetic fields from the biophysical basic principles to the operation of the entire machine. They will adequately support the medical staff, they will use the software and measurement techniques necessary for validation and use. They will be ready to use the topics covered during the course in the world of work as the basis of design and optimization and deepen towards more technologically innovative applications.
1021841 \| PHOTONIC MICROSYSTEMS	1st	2nd	6	ING-INF/01	ITA
Educational objectives GENERAL The course intends to provide to the student the tools for the understanding, the manufacturing techniques and the performance of systems and microsystems based on optoelectronic and photonic components. SPECIFIC • Knowledge and understanding: Thorough knowledge of the main systems built with optoelectronic and photonic components, with particular reference to the physical principles of operation of the single components and the manufacturing techniques. • Applying knowledge and understanding: Capability to analyze and compare the up to date photonic systems design and their use in sensor’s application and image processing. • Making judgements: Ability to choose, compare and design state-of-the-art photonic systems. • Communication skills: Capability, analysis and comparison of state-of-the-art photonic systems. • Learning skills: Ability to learn for insertion in work contexts of design, acquisition and comparison of photonic systems.
1044577 \| COMPUTATIONAL INTELLIGENCE	1st	2nd	6	ING-IND/31	ENG
Educational objectives Introduction to Machine Learning and data driven modelling. Soft Computing, Computational Intelligence. Basic data driven modelling problems: clustering, classification, unsupervised modelling, function approximation, prediction. Generalization capability. Deduction and induction. Induction inference principle over normed spaces. Models and training algorithms. Distance measures and basic preprocessing procedures. Optimization problems. Optimality conditions. Linear regression. LSE and RLSE algorithms. Numerical optimization algorithms: steepest descent and Newton’s method. Fuzzy logic principles. Fuzzy induction inference principle. Fuzzy Rules. Classification systems: performance and sensitivity measures. K-NN Classification rule. The biological neuron and the central nervous system. Perceptron. Feedforward networks: Multi-layer perceptron. Error Back Propagation algorithm. Support Vector Machines. Automatic modeling systems. Structural parameter sensitivity. Constructive and pruning algorithms. Generalization capability optimization: cross-validation and Ockham's razor criterion based techniques. Min-Max neurofuzzy classifiers; standard and regularized training algorithm. ARC, PARC; Principal Component Analysis; Generalized Min-Max neurofuzzy networks. GPARC. Swarm Intelligence. Evolutionary Computation. Genetic algorithms. Particle Swarm Optimization, Ant Colony Optimization. Automatic feature selection. Fuzzy reasoning. Generalized modus ponens; FIS; fuzzyfication and e defuzzyfication. ANFIS. Basic and advanced training algorithms: clustering in the joint input-output space, hyperplane clustering. Outline of prediction and cross-prediction problems: embedding based on genetic algorithms. Applications and case studies: micro-grids energy flows modelling and control, Smart Grids optimization and control, classification of TCP/IP traffic flows. Mining of frequent patterns and rule extraction in large data bases (Big Data Analytics).
1056159 \| COMPONENTS AND CIRCUITS FOR POWER ELECTRONICS	1st	2nd	6	ING-INF/01	ITA
Educational objectives General objectives The course aims to provide the student with design skills in the field of Power Electronics Specific training objectives: • Knowledge and understanding: Knowledge of the possible configurations of converters and of the related analysis techniques, also based on using generic (PSPICE) or dedicated (PSIM) circuit simulators. Knowledge of the main electrical, thermal, and electromagnetic compatibility problems • Ability to apply knowledge and understanding: Ability to apply design methodologies for switching converters: to select their configuration, to size semiconductor components, as well as capacitors and magnetic components and finally to design the control network. • Communication skills: Ability to produce and to present technical reports, also providing insight in the design trade-offs. • Ability to continue studying independently throughout life: Ability to keep updated one's cultural background, to select reliable sources and to carefully evaluating the information content of data published for different purposes.
10589999 \| EARTH OBSERVATION	1st	2nd	6	ING-INF/02	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with theoretical and practical skills on Earth observation through remote sensing. The course will provide an overview of the sensors and techniques used to generate value-added products from satellite remote sensing measurements. The theoretical lessons, including notions related to electromagnetic modeling and sensors used, are supported by practical sessions aimed at processing remote sensing measurements for the generation of value-added products. SPECIFIC: KNOWLEDGE AND UNDERSTANDING At the end of this course the student will know: - the main theoretical assumptions related to earth observation; - the main sensors for earth observation; - the main applications to generate value-added products starting from remote sensing measurements ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING At the end of this course the student will: - describe and interpret correctly remote sensing data; - know the principles underlying remote sensing measurements; - independently collect and process remote sensing data; - use the tools and appropriate skills for data interpretation and information extraction from remote sensing data. JUDGMENT ABILITY At the end of this course the student will be able to formulate an opinion: - on the quality of remote sensing data; - on the potential of each sensor with respect to the geophysical parameters to be observed;. COMMUNICATION SKILLS At the end of the course the student will: - use correct and adequate language for the communication of information extracted from remote sensing data. LEARNING SKILLS At the end of this course the student will: - independently investigate the main aspects related to remote sensing data; - independently process remote sensing measures in order to generate added value products related to earth observation
10600481 \| PROBABILITA' E STATISTICA PER L'INGEGNERIA	1st	2nd	6	MAT/06	ITA
Educational objectives Learning goals The primary educational objective of the course is students' learning of the main theoretical aspects related to probability and statistical inference. Students must also be able to solve the analytical problems necessary to apply the aforementioned theoretical concepts. Knowledge and understanding. At the end of the course the students know and understand the main aspects related to the theory of probability and the statistical methodology. Furthermore, students will learn the main methods useful to solve the problems linked to the uncertainty and data analysis. Applying knowledge and understanding. At the end of the course students are able to formalize problems related to uncertainty in terms of probabilistic problems and to apply the specific statistical methods to solve them. They are also able to model engineering phenomena through remarkable probabilistic structures. Making judgements. Students develop critical skills through the application of theory to a wide range of statistical models. They also develop the critical sense through the comparison between alternative solutions to the same problem obtained using different methodological tools of the data analysis. Communication skills. Students, through the study and the practical exercises, acquire the technical-scientific language of the probability, which must be properly used both in the final test. Learning skills. Students who pass the exam have learned the basic concepts of probability and statistical inference that allow them to deal with issues related to decision problems for engineering.
10621422 \| DESIGN OF MICROPROCESSORS AND ACCELERATORS	1st	2nd	6	ING-INF/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. RTL design, VHDL/SystemVerilog, microprocessor architectures. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Digital circuit design, FPGA/ASIC synthesis, microprocessor design/programming. MAKING AUTONOMOUS JUDGEMENTS. Evaluation of design alternatives and technologies to be used. COMMUNICATE SKILLS. Specification and modeling of digital systems, team work LEARNING SKILLS. Any subsequent advancement on digital circuits, architectures and programming.
1038350 \| RADIOPROPAGATION	1st	2nd	6	ING-INF/02	ENG
Educational objectives ENG GENERAL OBJECTIVES The course aims to provide students with advanced competencies for analyzing and mitigating atmospheric effects on electromagnetic signal propagation, in support of the design and optimization of wireless communication systems. It offers an in-depth understanding of electromagnetic wave propagation in complex environments, with a particular focus on applications in information and communications engineering. Electromagnetic radiation theory is applied to phenomena such as diffraction, geometric optics, tropospheric and ionospheric propagation, and complex propagation scenarios. The course integrates electromagnetic modeling and systems engineering aspects, with specific reference to telecommunications and remote sensing systems, including weather radar systems. SPECIFIC OBJECTIVES KNOWLEDGE AND UNDERSTANDING: Formulation of electromagnetic wave propagation theory in open media (e.g., the Earth’s atmosphere), with a focus on engineering applications. Analysis of diffraction, scattering, geometric optics, tropospheric and ionospheric propagation, surface propagation, complex environments, and free-space optics. Application of propagation theory to the design of terrestrial and satellite communication systems, as well as remote sensing systems. Study of microwave radar systems and their use in meteorological applications, such as cloud and precipitation monitoring. APPLYING KNOWLEDGE AND UNDERSTANDING: Ability to apply theoretical and experimental knowledge to the domains of radio wave propagation and radar meteorology, particularly in the context of terrestrial and satellite communication systems and remote sensing technologies. MAKING JUDGMENTS: Ability to critically assess models, approaches, and technical solutions related to electromagnetic propagation and its applications in radar meteorology. COMMUNICATION SKILLS: Ability to clearly and effectively present problems and technical solutions concerning radio propagation effects in the design of: Terrestrial and satellite communication systems Remote sensing systems Weather radar systems LEARNING SKILLS: Ability to independently explore and deepen advanced topics in electromagnetic wave propagation and radar meteorology, including the critical review of scientific and technical literature in the field.
1019528 \| MICROELETTROMECHANICAL SYSTEMS	1st	2nd	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The course intends to provide the student the tools for the understanding, the analysis of the working principles, the manufacturing technologies, and the performance of microelectromechanical systems (MEMS). The student acquires knowledge related to miniaturization strategies of microelectromechanical systems, the impact on geometries and physics, the technological solutions for its fabrication. Examples will be provided, for different categories, from first prototypes to state-of-the-art systems, from ideas in scientific papers to solutions on the market. Materials, working principles, fabrication and packaging strategies will be examined for various devices currently employed in daily life. SPECIFIC • Knowledge and understanding: Thorough knowledge of the main systems built with microelectromechanical components, with focus on the physics, the working principles of the single components and the manufacturing techniques. • Applying knowledge and understanding: Capability to analyze and compare the state-of-the-art microelectromechanical systems design and their use in diverse modern-day applications. • Making judgements: Ability to understand, design, choose and compare state-of-the-art microelectromechanical systems. • Communication skills: : ability to understand, describe and present state-of-the-art microelectromechanical systems. • Learning skills: learning abilities suitable for working environments where design, prototyping, testing and performance analysis of microelectromechanical systems take place.
10620470 \| INTEGRATED SENSORS AND SENSING DEVICES	1st	2nd	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The aim of the course is for students to acquire skills for the modeling of integrated sensors and their practical use in sensing devices and systems, according to the flipped learning mode, in which students are teachers and learners at the same time, as well as responsible for and protagonists of the projects they propose to carry out. The course will allow them to understand the functioning of sensors and their applicability in various situations, as well as to understand the importance and practical use of the fundamental units that make up a device, from power supply, to signal acquisition functions, to signal transmission and processing. The use of components currently on the market opens the student a window on the current potential of integrated sensors and the More Than Moore strategy of multifunctional integration in packages and on-chips. SPECIFIC • Knowledge and understanding: to know the main operating models and application specifications of integrated active sensors • Applying knowledge and understanding: be able to identify the implementation problems of a project and propose practical and operational solutions • Making judgements: ability to make appropriate design choices based on specific requests • Communication skills: knowing how to present a work done, working in a team, knowing how to propose and defend a project but also knowing how to listen objectively to the proposals of others. • Learning skills: learn to be co-responsible for the work done in a team, knowing how to make the designed prototype work within the set deadlines.
10589433 \| MATHEMATICAL METHODS FOR INFORMATION ENGINEERING	1st	2nd	6	MAT/05	ENG
Educational objectives Learning of advanced knowledge of Mathematical Analysis towards applications. Differential Calculus in several variables, minima and maxima with constraints. Analysis of mathematical models. A) Knowledge and understanding: to know basic concepts and their use in exercises of mathematical analysis with the support of texts and lecture notes in Mathematical Methods for Information Engineering. B) Applying knowledge and understanding: to be able to use the acquired knowledge and understanding in solving problems and to communicate the arguments. C) Making judgements: to be able to collect and understand exercises results to solve similar problems in in an autonomous context. To single out common features in different problems D) Communication skills: to relate about assumptions, problems and solutions to wide audiences. E) Learning skills: to acquire the competence that is necessary for advanced study.
1021788 \| MATHEMATICAL PHYSICS	1st	2nd	6	MAT/07	ITA
Educational objectives A) Learning of basic knowledge of mathematical models of Continuum Mechanics based on Partial Differential Equations. Learning of the main perturbative methods: direct perturbative method, multiple scales and boundary layers. B) Learning to set up and analyze problems for Partial Differential Equations. Learning to use the main perturbative methods when small parameters appear, also by means of qualitative analysis. D), E) Development of the ability to understand qualitatively the solution, to exchange the results and to seek help in textbooks or from experts. In this connection, construction and graphical visualization of solutions obtained by symbolic calculus (MUPAD toolbox for MATLAB).
1021868 \| Design of radio frequency microelectronic systems	2nd	1st	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The course aims to provide a framework on electronic systems for telecommunications through the theoretical study of the components that compose it a view of an implementation in integrated CMOS technology. SPECIFIC • Knowledge and understanding: RFIC design issues, with particular emphasis to the wireless communication receiver in CMOS technology. Detailed analysis and design guidelines for RF CMOS functional blocks (LNA, mixer, VCO, frequency synthesizer). • Applying knowledge and understanding: Design capability for the functional blocks of an integrated RF receiver in CMOS technology. • Making judgements: Capability of carrying out autonomously the design of RF functional blocks under the constraints of monolithic integration. • Communication skills: Capability of discuss the design issues in a clear, concise and exhaustive way. • Learning skills: Capability of using the acquired knowledge as a starting point to study specific issues of integrated RF design.
1021782 \| Electronics for the environment	2nd	1st	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The course analyses architecture, basic disciplines and technologies that enable the handling of engineering knowledge needed for planning, managing, and operating large systems dedicated to operations that take place over a territory of any real size. Furthermore, the course aims to examine detection systems by using of distributed sensors on the territory, located by means of GPS or IP. Their connection will be preferably wireless, and they need show low power and low voltage characteristic, in order to use design based on energy harvesting. SPECIFIC • Knowledge and understanding: to know techniques and technologies for monitoring, operation and management of complex scenarios on the territory. • Applying knowledge and understanding: to apply design methods with and for GIS ((Geographic Information Systems). To apply monitoring techniques by using of distributed sensors forming WSN, by using of prototypal systems (e.g. Arduino) and energy harvesting. • Making judgements: basic elements of systems system architecture. Critical capabilities of electronic design of energy self-sufficient WSN systems. Laboratory tests with the usage of prototypal boards (Arduino / Genuino,…), transceivers, sensors (GPS receivers, IMU, ...), DC-DC converters, energy Harvesting components, combined with firmware programming and data processing (MathWorks, Python, Sketch Arduino, ...). • Communication skills: to know how to describe the architectural and circuit solutions adopted to solve the monitoring by using of WSN and GIS. • Learning skills: valid learning for insert in working contexts specialized in designing electronic systems such as WSN, sensor node units, and in management by means of GIS.
1044618 \| Tecnologie e processi per l'elettronica	2nd	1st	6	ING-INF/01	ITA
Educational objectives The course aims to provide a basic formation on the technologies and strumentations used in the fabrication of electronic circuits with high integration density. Fabrication processes are also shown for different field of applications
1021866 \| Design of integrated circuits	2nd	1st	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The aim of the course is to provide to the students an overview of the design flow of analog and mixed-signal integrated circuits, by dealing in detail on one hand the relationships between circuit and system levels, and on the other hand the CAD design flow up to the design of layout masks and subsequent verifications. Complex systems such as the receiver for optical communications or the analog-to-digital converter are considered as examples of integrated systems. SPECIFIC • Knowledge and understanding: Analog processing techniques applied to high data rate systems; architectures and circuital solutions for wideband mixed-signal systems; clock recovery circuits analysis; understanding of integrated design flow in CMOS and/or BiCMOS technologies; layout techniques for analog and mixed-signal IC’s. • Applying knowledge and understanding: Design capability for high-speed signal processing chains up to GHz bandwidths; design capability at system level of high complexity systems such as PLL and CDR; development capability of elementary functions in an integrated design flow in CMOS and/or BiCMOS technology up to the layout level. • Making judgements: Capability of carrying out autonomously the design of an electronic circuit or sub-system. • Communication skills: Capability of document and discuss the design work in a clear, concise and exhaustive way. • Learning skills: Capability of using the acquired knowledge as a starting point to study the issues that come out during the autonomous design work.
1038349 \| ULTRA WIDE BAND RADIO FUNDAMENTALS	2nd	1st	6	ING-INF/03	ENG
Educational objectives ENG GENERAL The goal of the course is the study of the Ultra Wide Band (UWB) communication technique and its application to the design of ad hoc networks, sensor networks, and distributed wireless networks. Key aspects of UWB systems will be analyzed in order to highlight the potential of a technology that seems to be a solid candidate for the definition of standards and specifications for future wireless systems for communications and positioning. The course will deal with the theoretical foundations of UWB communications, including practical exercises and application principles for each topic. SPECIFIC • Knowledge and understanding: techniques for UWB signal generation, time and frequency analysis of UWB signals, design of UWB receivers in AWGN and multipath channels, single-link and network performance analysis, positioning and localization techniques based on UWB technology. • Applying knowledge and understanding: analysis and design of UWB wireless networks as a function of the transmitted signal, channel, and used receiver, combining the analytical approach with the use of software tools for link and network simulation. • Making judgements: ability to design and dimension a UWB wireless network, correctly identifying constraints and objectives to be met for performance indicators and standardizations, selecting the best combination of tools to complete the task successfully and efficiently. • Communication skills: learn to present clearly and coherently topics related to UWB communications, combining an accurate analytical description, the ability of providing a comprehensive view of such topics, and the knowledge and use of software simulation tools. • Learning skills: Development of independent skills for studying advanced topics in the field of ultrawideband communications through the analysis of state of the art scientific publications.
1052242 \| DIGITAL SYSTEM PROGRAMMING	2nd	1st	6	ING-INF/01	ENG
Educational objectives The goal of the course of "Digital System Programming" is to provide the basics c/c++ and shell scripting programming under Linux OS.
10606343 \| RADAR IMAGING TECHNIQUES	2nd	1st	6	ING-INF/03	ENG
Educational objectives Knowledge and understanding: to know the fundamentals of SAR systems, SAR system design and main operating modes as well as main techniques for the focusing and autofocusing of SAR images and for the extraction of information from focused images. Applying knowledge and understanding: to know how to competently do proper choices for SAR systems design and to develop and apply techniques for the focusing/autofocusing and for the information extraction. Making judgements: to know how to integrate and use the acquired knowledge in order to choose the main system parameters and implement SAR signal processing chains comprising the cascade of many stages and to know how to critically analyze the corresponding results. The acquisition of this skill is strengthened by the activity required by the homework. Communication skills: to know how to illustrate with proper technical language the solutions chosen to solve SAR system design or SAR signal processing issues and to know how to describe and discuss results coming from specific processing techniques. The acquisition of this skill is strengthened by the final exam consisting in a talk during which the student describes the activity carried out for the homework using a PowerPoint presentation. Learning skills: to acquire the ability to complement the theoretical studies with practical applications of the studied concepts working to this aim autonomously.
10616834 \| QUANTUM COMPUTING AND NEURAL NETWORKS	2nd	1st	6	ING-IND/31	ENG
Educational objectives ENG GENERAL The main goal of the course is to provide the student with knowledge of the basic notions regarding the design and implementation of quantum algorithms and quantum computing architectures for machine learning and artificial intelligence, in order to deal with variational quantum circuits and quantum neural networks learning. The problems related to the design, implementation and testing of quantum computing architectures and quantum machine learning computational models will be considered, for the solution of both supervised and unsupervised learning problems such as optimization, prediction, clustering and classification, in real-world applications concerning signal, data and information processing. All of this also through systematic laboratory activity, during which the methodologies relating to the design and implementation of quantum computing architectures as well as quantum machine learning models such as quantum neural networks will be taken into consideration. SPECIFIC • Knowledge and understanding: study of computational models, circuits and architectures along their universality, as well as on the explanation of the main algorithmic techniques exploiting quantum physics using model abstraction, in order to solve hard computational problems. The fundamentals of data-driven learning approaches will be acquired for applications to real-world problems, with specific implementations using quantum circuits and quantum neural networks along with the use of existing software platforms. • Applying knowledge and understanding: to understand how to gain quantum advantage in applications related to data-driven learning problems such as time series analysis, Hyperdimensional Computing, and eXplainable AI, considering several real domains pertaining to energy, aerospace, earth observation, behavioral analysis, bioengineering, finance, fraud detection, and so forth. • Making judgements: to integrate the acquired knowledge in order to manage the complexity of inductive learning mechanisms and the actual limits imposed by currently adopted Noisy Intermediate-Scale Quantum (NISQ) devices, even starting from the limited information due to the practical organization of the course. • Communication skills: to communicate the knowledge acquired to specialist and non-specialist interlocutors in the fields of research and work in which she/he will carry on the subsequent scientific and/or professional activities, also considering technological and sustainability issues. • Learning skills: autonomous and self-managed study activity during the development of monothematic homework for didactic and/or experimental investigation, i.e., in a vertical way on some specific theoretical and applicative topics using, for instance, available cloud-based quantum systems like IBM’s Quantum Experience Platform, as well as quantum simulators like Qiskit, Pennylane and Flax.
10621076 \| ELECTROMAGNETIC TECHNOLOGIES FOR COMMUNICATIONS AND SENSING	2nd	1st	6	ING-INF/02	ENG
Educational objectives GENERAL The course aims to provide the methodological tools and applicative knowledge related to the techniques and devices for the main applications of electromagnetism in modern terrestrial and space telecommunications systems and in remote sensing. The skills acquired concern the properties of electromagnetic devices with attention to guided propagation, radiation and sensors used in various applications of ICT and civil and industrial engineering. The training path is completed by the study of computer-aided analysis and design procedures, instrumentation and measurement techniques. SPECIFIC • Knowledge and understanding: to know and understand the techniques, tools and methodological aspects in the study and characterization of various high-frequency devices for terrestrial and satellite communications, and electromagnetic technologies for radar and remote observation and control systems in complex environments. • Applying knowledge and understanding: to be able to apply electromagnetic analysis techniques to the design of different types of high-frequency devices and systems. • Making judgements: to be able to collect additional information to achieve greater awareness of devices used at high frequencies in the ICT and civil and industrial engineering fields. • Communication skills: to be able to describe the electromagnetic problems associated with the use of various high-frequency devices for information transmission and sensor applications. • Learning skills: to be able to extend knowledge in a continuous updating of the problems of applied electromagnetism for the treatment of information at a distance.
10621515 \| SMART SENSORS AND TRANSDUCERS FOR ADVANCED ELECTRONIC SYSTEM	2nd	1st	6	ING-INF/07	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with theoretical and practical knowledge for the design and characterization of measurement systems based on smart sensors, with a focus on electronic, mechatronic, and biomedical applications. The course covers the complete design workflow: from sensor selection, to development of signal conditioning and acquisition electronics, up to digital signal processing and transmission. Lectures are complemented by lab sessions to practice the learned concepts and develop a working prototype. SPECIFIC • Knowledge and understanding: to understand the principles, technologies and models of the main types of sensors and transducers. • Applying knowledge and understanding: to design and implement intelligent measurement systems including sensors, analog front-end, and data transmission. • Making judgements: to select the most suitable sensors and circuitry depending on application and metrological requirements.
10589493 \| DISCRETE MATHEMATICS	2nd	2nd	6	MAT/03	ENG
Educational objectives THE COURSE AIMS TO GIVE STUDENTS AN INTRODUCTION TO DISCRETE MATHEMATICS, WHICH IS ONE OF THE MOST INNOVATIVE AREAS OF MATHEMATICS, DEVELOPED SINCE THE SECOND HALF OF THE TWENTIETH CENTURY, FULL OF CHALLENGING PROBLEMS AND EXTREMELY USEFUL FOR APPLICATIONS. DURING THE COURSE, STUDENTS WILL MEET WITH A NUMBER OF ISSUES AND PROBLEMS OF A TYPE COMPLETELY DIFFERENT FROM THOSE ENCOUNTERED IN OTHER TRADITIONAL MATHEMATICS COURSES, AND DEVELOP, THROUGH A SYSTEMATIC EFFORT AIMED AT “PROBLEM SOLVING”, A PRACTICAL APPROACH TO THE STUDY OF PROBLEMS OF GREAT EDUCATIONAL VALUE, ESPECIALLY FOR FUTURE CAREERS. AT THE END OF THE COURSE , THE SUCCESSFUL STUDENT • WILL HAVE LEARNED THE METHODS, THE PROBLEMS, AND THE POSSIBLE APPLICATIONS OF DISCRETE MATHEMATICS. • WILL BE ABLE TO UNDERSTAND, TACKLE AND SOLVE SIMPLE PROBLEMS RELATED TO DISCRETTE MATHEMATICS. • THROUGH WRITTEN ESSAYS AND POSSIBLE ORAL PRESENTATIONS HE/SHE WILL DEVELOP APPROPRIATE CAPACITY OF JUDGEMENT AND CRITICISM. • AT THE SAME TIME HE/SHE WILL EXERCISE HIS/HER ABILITY TO PRESENT AND TRANSMIT WHAT HE/SHE HAS LEARNED. • PERSONAL, INDIVIDUAL STUDY WILL TRAIN HIS/HER CAPACITY OF INDEPENDENT AND AUTONOMOUS LEARNING ACTIVITY.
10621561 \| SISTEMI OPERATIVI	2nd	2nd	6	INF/01	ITA
Educational objectives "General goals: The course focuses on operating systems concepts, structure, and mechanisms. Fundamental characteristics, present since the most traditional systems, will be treated, but also peculiarities of modern systems that arise due to the recurring evolution of technology." "Specific goals: The course will cover the characteristics and concepts of modern operating systems, with particular reference to Unix and Linux systems. We will start with a description of the evolution of operating systems over time and continue with fundamental concepts such as processes, stalling and related prevention mechanisms, process concurrency, memory management, processor and I/O, files system, and security." "Knowledge and understanding: To understand in depth how operating systems support the execution of user programs and manage the hardware peripherals of a computer. Fundamental methods and techniques for in-memory process representation and efficient handling of multiprogramming - multiple processes loaded/running concurrently - on a resource-constrained system." "Applying knowledge and understanding: Design user and system-level programs efficiently and securely." "Critical and judgmental abilities: To predict the use of resources required by a program, to discover a possible deadlock situation in a multi-programmed system. to ensure mutual exclusion between processes and secure access to memory areas or sensitive resources." "Communication skills: Knowing how to clearly and precisely communicate the characteristics of operating systems and their software/hardware support mechanisms." "Learning ability: Know how to exploit the knowledge acquired in the design of systems and user programs in the next module of the course. Use this knowledge in learning properties of more complex systems such as distributed and cloud systems."

The student must acquire 12 CFU from the following exams

Lesson	Year	Semester	CFU	SSD	Language
1021745 \| Discrete time circuits	1st	2nd	6	ING-IND/31	ITA
Educational objectives The general goal of this course is to provide the methodologies to understand and to analyze discrete time circuits, by the acquisition of fundamental mathematical tools and the comparison with the knowledge acquired in the course of Circuit Theory. SPECIFIC • Knowledge and understanding: after this class, students will be able of analyzing general architectures of discrete time circuits and to face simple problems of synthesis. • Applying knowledge and understanding: students will be able of applying learnt methodologies to more general problems, typical of Electronics. • Making judgements: students will be able of integrating acquired knowledge with those given in the whole Laurea degree. • Communication skills: students will be able of transmitting the acquired knowledge and fully explaining the processes that lead to them. • Learning skills: students will be able to manage their study in an autonomous way.
1044589 \| Pattern Recognition	1st	2nd	6	ING-IND/31	ITA
Educational objectives ENG GENERAL The course aims to provide students with a solid theoretical and practical foundation in Pattern Recognition techniques, with a focus on classification and clustering problems, in both algebraic and non-algebraic domains, and Natural Language Processing through Transformers architectures. By the end of the course, students will be able to critically understand and interpret advanced scientific texts in the field, gaining in-depth knowledge of state-of-the-art methodologies. They will also be capable of independently applying the learned principles and algorithms to design Pattern Recognition systems in multidisciplinary contexts, consciously selecting the most suitable approach based on the specific problem requirements. The course also fosters the development of transversal skills: students will learn to effectively document their work through technical reports and presentations, clearly communicating methods, results, and performance assessments. Finally, a central objective of the course is to promote a mindset of continuous learning, which is essential to keep skills up to date in the ever-evolving ICT landscape. SPECIFIC • Knowledge and understanding: The course provides the basic principles of Pattern Recognition techniques, focusing on classification and clustering in domains that are not necessarily algebraic. Students who pass the final exam will be able to read and understand scientific texts and articles on advanced topics in the field of Pattern Recognition. • Applying knowledge and understanding: Students who pass the final exam will be able to apply the studied methodological principles and algorithms to design innovative Pattern Recognition systems in multidisciplinary contexts. • Making judgements: Students who pass the final exam will be able to analyze design requirements and select the classification system that best fits the specific case study. • Communication skills: Students who pass the final exam will be able to write a technical report and create an appropriate presentation documenting the design, development, and performance evaluation of a Pattern Recognition system. • Learning skills: Students who pass the final exam will be able to independently deepen their understanding of the topics covered in class, engaging in the continuous learning process that characterizes professional development in the ICT field.
1042013 \| Electromagnetic compatibility	1st	2nd	6	ING-INF/02	ITA
Educational objectives ENG GENERAL Successful students will be able to evaluate the electromagnetic performances, the crosstalk level, and the susceptibility of simple or multiconductor microstrip interconnecting lines, and to model parasitic effects due to bends, junctions, and discontinuities. Moreover, they will be able to determine the parameters responsible for the spurious emission and signal integrity so to establish design guidelines useful to reduce the EMC/EMI problems in electronic equipment. SPECIFIC • Knowledge and understanding: Knowledge and understanding the methodological aspects related to electromagnetic compatibility issues. • Applying knowledge and understanding: Know how to apply skills to solve electromagnetic compatibility problems in sensitive electronic devices, circuits and systems. • Making judgements: Be able to develop analytical and numerical models to predict parasitic coupling effects, signal distortion and radiated emission. • Communication skills: Ability to interact effectively with specialists and non-specialists on technical issues related to EMC problems in sensitive electronic devices, circuits and systems. • Learning skills: Know how to search on bibliographic sources and specialist texts in order to deepen and increase knowledge in the field.
1042016 \| ADVANCED ELECTROMAGNETICS AND SCATTERING	1st	2nd	6	ING-INF/02	ITA
Educational objectives ENG GENERAL The course is aimed to present an overview of some advanced topics in Electromagnetics, of considerable importance for the applications, and an introduction to electromagnetic scattering. Key instruments extensively used for their physical intuition and representative power are the modal expansion with the relevant equivalent distributed circuits, and the plane‐wave spectra. The concepts of Green’s function and integral representation are also studied in depth. Specific • Knowledge and understanding: The course is aimed at presenting an overview of some advanced topics in Electromagnetics, of considerable importance for the applications, and an introduction to electromagnetic scattering. • Applying knowledge and understanding: Students will be able to have an overall vision of modern electromagnetics, with particular reference to the unifying methodological aspects and to the mathematical techniques employed, which will allow them to easily find their bearings in successive study or in job positions, due to the great generality of the faced themes. In particular, the students will have understood in depth the principal concepts of guided and free propagation, as well as the approach to the scattering problems, solved both in closed form (canonical problems) and numerically. • Making judgements: To be able to formulate a proper evaluation relevant to the Course topics and their importance in the applications. To be able to collect and critically evaluate additional information to achieve a greater awareness of the Course topics. • Communication skills: To be able to describe the Course topics. To be able to communicate the knowledge acquired on the Course topics. • Learning skills: Key instruments extensively used for their physical intuition and representative power are the modal expansion with the relevant equivalent distributed circuits, and the plane‐wave spectra. The concepts of Green’s function and integral representation are also studied in depth.
1038139 \| Embedded Systems	1st	2nd	6	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides: the basics of the design of digital circuits for embedded systems, the ability to make decisions in the derivation of design solutions from technical specifications, selecting the most suitable architectures for different applications. SPECIFIC • Knowledge and understanding: to know the architectures for embedded systems in their different shapes and characteristics, to know the architectures of 8, 16 and 32 bit CPUs, the characteristics of an Instruction Set Architecture, the typical characteristics of external units: memories, timers, interrupt controllers, communication units. Building toolchains for embedded systems, high-level languages and assembly, code analysis and debugging. • Applying knowledge and understanding: to apply embedded system design methodologies, ability to write code characteristic of embedded systems (e.g. direct access to hardware, interrupt routines). • Making judgements: to carry out embedded systems design solutions based on requirements. • Communication skills: to know how to describe the solutions chosen to solve the design problem: characteristics of instruction set architectures, required level of programming (C language, assembly), expected performance and description of the organization of the software project. • Learning skills: ability to continue subsequent studies considering more advanced hardware/software architectures, for example multicore systems or microkernel-based systems.
1042011 \| ACCELERATOR PHYSICS AND RELATIVISTIC ELECTRODYNAMICS	1st	2nd	6	FIS/01	ENG
Educational objectives ENG GENERAL The course aims to provide students with an understanding of the principles of special relativity with a focus on the application to particle accelerator physics. The connection between relativity and classical mechanics, electromagnetism and the transformation of fields between inertial reference frames will be discussed. The course will also introduce the fundamentals of relativistic motion of charges in electric and magnetic fields, with a focus on the operation of modern particle accelerators, including linear accelerators, cyclotrons and synchrotrons. The final goal is to provide students not only with the theoretical knowledge but also with the practical skills needed to analyze and design particle acceleration schemes and related devices. Through the study of betatron and synchrotron motion, students will be able to understand the operation of circular accelerators and to use simulation tools such as the XSuite code (https://xsuite.readthedocs.io/en/latest/) independently. SPECIFIC • Knowledge and understanding: to acquire knowledge of the principles of special relativity and their application to the physics of particle accelerators, including the transformations of electromagnetic fields between inertial systems and the operation of linear and circular accelerators. • Applying knowledge and understanding: to analyze the motion of charges in different devices such as magnetic dipoles and quadrupoles, as well as evaluate the power radiated by electric charges in circular accelerators. • Making judgements: to develop the ability to evaluate the operation of circular accelerators through the study of the motion of betatrons and synchrotrons and to independently use the XSuite code for the simulation of beam dynamics. • Communication skills: explain clearly and rigorously, the concepts related to particle accelerators, using the appropriate technical language. • Learning skills: to develop skills that will allow a student to independently study advanced topics in the field of accelerator physics and related technologies.
1041749 \| LASER FUNDAMENTALS	1st	2nd	6	FIS/01	ENG
Educational objectives Generals The aim of the course is to provide the student with an understanding of the principles of operation of active optical devices based on the interaction of light with nanoscale systems; it also wants to provide an understanding of the most current laser design and construction techniques (q-dots, photonic crystal laser) and their uses in the field of optoelectronics, quantum information and also in diagnostics that use miniaturized optical sources Specifics • Knowledge and understanding: know analytical methods to understand how lasers work in various fields, as well as know the basic technology of quantum electronics • Ability to apply knowledge and understanding: apply analysis and learning methodologies, through activities also in the laboratory. • Critical and judgmental skills: tests are carried out • Communication skills: knowing how to describe what has been learned in the field of knowledge of technologies operating laser devices. The communication skills are realized by addressing some fundamental topics with the request for active participation in the solution of problems, based on the knowledge acquired from previous lessons or from courses already passed. • Ability to continue the study independently throughout life: ability to continue subsequent studies concerning advanced themes of photonics and quantum electronics, based on the acquired analysis and project methodologies.
1042021 \| Equipments and techniques for diagnostics	1st	2nd	6	ING-INF/02	ITA
Educational objectives ENG GENERAL The aim of the course is to provide students with specific knowledge on the main instrumentation used in the biomedical field. The theoretical activities, highly interdisciplinary, aim to develop the candidate's ability to connect the mathematical methods and techniques learned in other courses of study. The seminar activities, also carried out by external researchers, also aim to develop communication and interaction skills. SPECIFIC • Knowledge and understanding: The course aims to get the student to acquire knowledge for the instrumentation project for medical diagnostics. Particular attention is given to the design of nuclear magnetic resonance equipment, hospital monitors and ultrasound • Applying knowledge and understanding: The theoretical part is supplemented by application seminars on commercial solutions and research activities in various areas of medical instrumentation, including innovative such as impedance tomography and radar applications in medicine • Making judgements: The theoretical, highly interdisciplinary activities aim to develop the candidate's ability to link mathematical methods and techniques learned in other courses of study • Communication skills: Seminar activities, also carried out by external researchers, are also aimed at developing communication and interaction skills. • Learning skills: . In addition to the teaching material provided, the student is encouraged to study in an autonomous way using the scientific literature made available and other material available on the web.
1056158 \| MACHINE LEARNING FOR SIGNAL PROCESSING	1st	2nd	6	ING-IND/31	ITA
Educational objectives ENG GENERAL The course “Machine Learning for Signal Processing” aims to provide a solid understanding of machine learning techniques applied to signal processing. Starting from foundational concepts in supervised, unsupervised, and generative learning, students are guided through the analysis, modeling, and synthesis of complex signals using neural and probabilistic models. The course covers classical architectures such as multilayer perceptrons, convolutional and recurrent networks, and progresses to advanced generative models like autoencoders, GANs, and diffusion models, with applications in audio, biomedical, and time-series signals. Through a mix of theoretical lectures and hands-on Python notebooks, the course enables students to design intelligent systems for signal analysis and critically evaluate their outcomes. SPECIFIC • Knowledge and understanding: Understand the principles of machine learning and how they apply to signal processing tasks. • Applying knowledge and understanding: Be able to implement and adapt machine learning models across various signal domains (audio, biomedical, temporal). • Making judgements: Justify the selection of suitable methods based on the nature of the signal and the problem at hand. • Communication skills: Effectively communicate approaches, results, and implications of signal analysis using machine learning techniques. • Learning skills: Develop autonomy in studying new techniques and applying models to novel datasets.
1056086 \| GROUND PENETRATING RADAR	1st	2nd	6	ING-INF/02	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. The main goal of this interdisciplinary course is to provide students with theoretical and practical knowledge necessary for a safe, effective and advanced use of Ground-Penetrating Radar (GPR) technique in a wide range of application areas. Successful Students will gain a wide up-to-date perspective on GPR technology and methodology. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful Students will be able to use GPR instrumentation in several application areas. They will also be able to use electromagnetic modelling and data processing software tools. MAKING AUTONOMOUS JUDGEMENTS. Successful Students will be able to properly choose GPR equipment, design a survey and acquire reliable data in different application areas. They will know how to model GPR scenarios, process and interpret radargrams, besides having understood how GPR can be associated to complementary non-invasive approaches. COMMUNICATE SKILLS. Successful Students will be able to share knowledge about what they learnt in both academia and industry environments. LEARNING SKILLS. Successful Students will be ready to study more in depth the topics covered by this course.
1056159 \| COMPONENTI E CIRCUITI PER L'ELETTRONICA DI POTENZA	1st	2nd	6	ING-INF/01	ITA
Educational objectives General objectives The course aims to provide the student with design skills in the field of Power Electronics Specific training objectives: • Knowledge and understanding: Knowledge of the possible configurations of converters and of the related analysis techniques, also based on using generic (PSPICE) or dedicated (PSIM) circuit simulators. Knowledge of the main electrical, thermal, and electromagnetic compatibility problems • Ability to apply knowledge and understanding: Ability to apply design methodologies for switching converters: to select their configuration, to size semiconductor components, as well as capacitors and magnetic components and finally to design the control network. • Communication skills: Ability to produce and to present technical reports, also providing insight in the design trade-offs. • Ability to continue studying independently throughout life: Ability to keep updated one's cultural background, to select reliable sources and to carefully evaluating the information content of data published for different purposes.
10589999 \| EARTH OBSERVATION	1st	2nd	6	ING-INF/02	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with theoretical and practical skills on Earth observation through remote sensing. The course will provide an overview of the sensors and techniques used to generate value-added products from satellite remote sensing measurements. The theoretical lessons, including notions related to electromagnetic modeling and sensors used, are supported by practical sessions aimed at processing remote sensing measurements for the generation of value-added products. SPECIFIC: KNOWLEDGE AND UNDERSTANDING At the end of this course the student will know: - the main theoretical assumptions related to earth observation; - the main sensors for earth observation; - the main applications to generate value-added products starting from remote sensing measurements ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING At the end of this course the student will: - describe and interpret correctly remote sensing data; - know the principles underlying remote sensing measurements; - independently collect and process remote sensing data; - use the tools and appropriate skills for data interpretation and information extraction from remote sensing data. JUDGMENT ABILITY At the end of this course the student will be able to formulate an opinion: - on the quality of remote sensing data; - on the potential of each sensor with respect to the geophysical parameters to be observed;. COMMUNICATION SKILLS At the end of the course the student will: - use correct and adequate language for the communication of information extracted from remote sensing data. LEARNING SKILLS At the end of this course the student will: - independently investigate the main aspects related to remote sensing data; - independently process remote sensing measures in order to generate added value products related to earth observation
1021841 \| PHOTONIC MICROSYSTEMS	1st	2nd	6	ING-INF/01	ITA
Educational objectives GENERAL The course intends to provide to the student the tools for the understanding, the manufacturing techniques and the performance of systems and microsystems based on optoelectronic and photonic components. SPECIFIC • Knowledge and understanding: Thorough knowledge of the main systems built with optoelectronic and photonic components, with particular reference to the physical principles of operation of the single components and the manufacturing techniques. • Applying knowledge and understanding: Capability to analyze and compare the up to date photonic systems design and their use in sensor’s application and image processing. • Making judgements: Ability to choose, compare and design state-of-the-art photonic systems. • Communication skills: Capability, analysis and comparison of state-of-the-art photonic systems. • Learning skills: Ability to learn for insertion in work contexts of design, acquisition and comparison of photonic systems.
1038350 \| RADIOPROPAGATION	1st	2nd	6	ING-INF/02	ENG
Educational objectives ENG GENERAL OBJECTIVES The course aims to provide students with advanced competencies for analyzing and mitigating atmospheric effects on electromagnetic signal propagation, in support of the design and optimization of wireless communication systems. It offers an in-depth understanding of electromagnetic wave propagation in complex environments, with a particular focus on applications in information and communications engineering. Electromagnetic radiation theory is applied to phenomena such as diffraction, geometric optics, tropospheric and ionospheric propagation, and complex propagation scenarios. The course integrates electromagnetic modeling and systems engineering aspects, with specific reference to telecommunications and remote sensing systems, including weather radar systems. SPECIFIC OBJECTIVES KNOWLEDGE AND UNDERSTANDING: Formulation of electromagnetic wave propagation theory in open media (e.g., the Earth’s atmosphere), with a focus on engineering applications. Analysis of diffraction, scattering, geometric optics, tropospheric and ionospheric propagation, surface propagation, complex environments, and free-space optics. Application of propagation theory to the design of terrestrial and satellite communication systems, as well as remote sensing systems. Study of microwave radar systems and their use in meteorological applications, such as cloud and precipitation monitoring. APPLYING KNOWLEDGE AND UNDERSTANDING: Ability to apply theoretical and experimental knowledge to the domains of radio wave propagation and radar meteorology, particularly in the context of terrestrial and satellite communication systems and remote sensing technologies. MAKING JUDGMENTS: Ability to critically assess models, approaches, and technical solutions related to electromagnetic propagation and its applications in radar meteorology. COMMUNICATION SKILLS: Ability to clearly and effectively present problems and technical solutions concerning radio propagation effects in the design of: Terrestrial and satellite communication systems Remote sensing systems Weather radar systems LEARNING SKILLS: Ability to independently explore and deepen advanced topics in electromagnetic wave propagation and radar meteorology, including the critical review of scientific and technical literature in the field.
10621625 \| WIRELESS ACCESS NETWORKS	1st	2nd	6	ING-INF/03	ENG
Educational objectives GENERAL The Wireless Access course aims to develop and acquire theoretical knowledge on the topic of medium access in wireless telecommunications systems and their application in modern communication systems such as 5G and "beyond 5G." An integral part of the course objectives is the development of design skills of the access system, achieved through mastery of mathematical theories essential for modeling wireless access, and in particular the statistical theory of time-discrete random processes and queueing theory. Hands-on skills complement the above and lead to the acquisition of abilities in the use of simulation tools for performance analysis of complex systems. SPECIFIC • Knowledge and understanding: multiple access techniques (TDMA, FDMA, CDMA, SDMA, NOMA), algorithms and protocols for wireless access (Medium Access Control, MAC) and resource management in wireless networks, also for coexisting networks (cognitive radio).   • Applying knowledge and understanding: analysis and design of wireless networks as a function of incoming traffic and of the wireless access protocol, combining the analytical approach with the use of software tools for link and network simulation. • Making judgements: ability to design and dimension a wireless network, correctly identifying constraints and objectives to be met for performance indicators, selecting the best combination of tools to complete the task successfully and efficiently. • Communication skills: learn to present clearly and coherently topics related to wireless access, combining an accurate analytical description with the ability of providing a comprehensive view of such topics. • Learning skills: development of the ability to delve deeper into the topics covered in the course through the independent study of specifically suggested scientific article.
1042012 \| OPTICS	1st	2nd	6	FIS/01	ENG
Educational objectives The course has as its objective to acquire detailed knowledge on light, his behavior and the major optical components and devices adapted to its processing. The lessons are then directed to deepen the knowledge of the propagation of light as waves, analyzing the phenomena of interference and diffraction. They will be analyzed, in geometrical optics regime, the main optical and active components as well as the guided optical properties. Will data elements for the advanced optical design.
10620470 \| INTEGRATED SENSORS AND SENSING DEVICES	1st	2nd	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The aim of the course is for students to acquire skills for the modeling of integrated sensors and their practical use in sensing devices and systems, according to the flipped learning mode, in which students are teachers and learners at the same time, as well as responsible for and protagonists of the projects they propose to carry out. The course will allow them to understand the functioning of sensors and their applicability in various situations, as well as to understand the importance and practical use of the fundamental units that make up a device, from power supply, to signal acquisition functions, to signal transmission and processing. The use of components currently on the market opens the student a window on the current potential of integrated sensors and the More Than Moore strategy of multifunctional integration in packages and on-chips. SPECIFIC • Knowledge and understanding: to know the main operating models and application specifications of integrated active sensors • Applying knowledge and understanding: be able to identify the implementation problems of a project and propose practical and operational solutions • Making judgements: ability to make appropriate design choices based on specific requests • Communication skills: knowing how to present a work done, working in a team, knowing how to propose and defend a project but also knowing how to listen objectively to the proposals of others. • Learning skills: learn to be co-responsible for the work done in a team, knowing how to make the designed prototype work within the set deadlines.
1019528 \| MICROELETTROMECHANICAL SYSTEMS	1st	2nd	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The course intends to provide the student the tools for the understanding, the analysis of the working principles, the manufacturing technologies, and the performance of microelectromechanical systems (MEMS). The student acquires knowledge related to miniaturization strategies of microelectromechanical systems, the impact on geometries and physics, the technological solutions for its fabrication. Examples will be provided, for different categories, from first prototypes to state-of-the-art systems, from ideas in scientific papers to solutions on the market. Materials, working principles, fabrication and packaging strategies will be examined for various devices currently employed in daily life. SPECIFIC • Knowledge and understanding: Thorough knowledge of the main systems built with microelectromechanical components, with focus on the physics, the working principles of the single components and the manufacturing techniques. • Applying knowledge and understanding: Capability to analyze and compare the state-of-the-art microelectromechanical systems design and their use in diverse modern-day applications. • Making judgements: Ability to understand, design, choose and compare state-of-the-art microelectromechanical systems. • Communication skills: : ability to understand, describe and present state-of-the-art microelectromechanical systems. • Learning skills: learning abilities suitable for working environments where design, prototyping, testing and performance analysis of microelectromechanical systems take place.
10589485 \| THERAPEUTIC APPLICATIONS OF LOW FREQUENCY ELECTROMAGNETIC FIELDS	1st	2nd	6	ING-INF/02	ENG
Educational objectives The main goal of this interdisciplinary course is to provide students theoretical and practical knowledge necessary for the understanding of important biomedical applications of widespread clinical use based on the biological effects of electromagnetic fields. Passing the exam, students will have an overview of clinical applications based on electromagnetic fields from the biophysical basic principles to the operation of the entire machine. They will adequately support the medical staff, they will use the software and measurement techniques necessary for validation and use. They will be ready to use the topics covered during the course in the world of work as the basis of design and optimization and deepen towards more technologically innovative applications.
1021777 \| Analog electronics with applications	1st	2nd	6	ING-INF/01	ITA
Educational objectives A NALYSIS OF COMPLEX ANALOG INTEGRATED CIRCUITS . P ERFORMANCE STABILIZATION THROUGH FEEDBACK TECHNIQUE ANALYSIS , FEEDBACK CIRCUITS STABILITY ANALYSIS . C URRENT PROCESSING TECHNIQUES , BASIC CELLS TO IMPLEMENT CURRENT PROCESSING . C OA ALTERNATIVES . LOW VOLTAGE ANALOG SIGNAL PROCESSING . COMPLEX SYSTEMS FOR ANALOG SIGNAL PROCESSING : ACTIVE FILTERS , DISCRETE TIME BUILDING BLOCKS , ADC PIPELINE AS AN EXAMPLE OF DISCRETE TIME SYSTEM .
1021866 \| Design of integrated circuits	2nd	1st	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The aim of the course is to provide to the students an overview of the design flow of analog and mixed-signal integrated circuits, by dealing in detail on one hand the relationships between circuit and system levels, and on the other hand the CAD design flow up to the design of layout masks and subsequent verifications. Complex systems such as the receiver for optical communications or the analog-to-digital converter are considered as examples of integrated systems. SPECIFIC • Knowledge and understanding: Analog processing techniques applied to high data rate systems; architectures and circuital solutions for wideband mixed-signal systems; clock recovery circuits analysis; understanding of integrated design flow in CMOS and/or BiCMOS technologies; layout techniques for analog and mixed-signal IC’s. • Applying knowledge and understanding: Design capability for high-speed signal processing chains up to GHz bandwidths; design capability at system level of high complexity systems such as PLL and CDR; development capability of elementary functions in an integrated design flow in CMOS and/or BiCMOS technology up to the layout level. • Making judgements: Capability of carrying out autonomously the design of an electronic circuit or sub-system. • Communication skills: Capability of document and discuss the design work in a clear, concise and exhaustive way. • Learning skills: Capability of using the acquired knowledge as a starting point to study the issues that come out during the autonomous design work.
1021868 \| Design of radio frequency microelectronic systems	2nd	1st	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The course aims to provide a framework on electronic systems for telecommunications through the theoretical study of the components that compose it a view of an implementation in integrated CMOS technology. SPECIFIC • Knowledge and understanding: RFIC design issues, with particular emphasis to the wireless communication receiver in CMOS technology. Detailed analysis and design guidelines for RF CMOS functional blocks (LNA, mixer, VCO, frequency synthesizer). • Applying knowledge and understanding: Design capability for the functional blocks of an integrated RF receiver in CMOS technology. • Making judgements: Capability of carrying out autonomously the design of RF functional blocks under the constraints of monolithic integration. • Communication skills: Capability of discuss the design issues in a clear, concise and exhaustive way. • Learning skills: Capability of using the acquired knowledge as a starting point to study specific issues of integrated RF design.
1044618 \| Tecnologie e processi per l'elettronica	2nd	1st	6	ING-INF/01	ITA
Educational objectives The course aims to provide a basic formation on the technologies and strumentations used in the fabrication of electronic circuits with high integration density. Fabrication processes are also shown for different field of applications
1021782 \| Electronics for the environment	2nd	1st	6	ING-INF/01	ITA
Educational objectives ENG GENERAL The course analyses architecture, basic disciplines and technologies that enable the handling of engineering knowledge needed for planning, managing, and operating large systems dedicated to operations that take place over a territory of any real size. Furthermore, the course aims to examine detection systems by using of distributed sensors on the territory, located by means of GPS or IP. Their connection will be preferably wireless, and they need show low power and low voltage characteristic, in order to use design based on energy harvesting. SPECIFIC • Knowledge and understanding: to know techniques and technologies for monitoring, operation and management of complex scenarios on the territory. • Applying knowledge and understanding: to apply design methods with and for GIS ((Geographic Information Systems). To apply monitoring techniques by using of distributed sensors forming WSN, by using of prototypal systems (e.g. Arduino) and energy harvesting. • Making judgements: basic elements of systems system architecture. Critical capabilities of electronic design of energy self-sufficient WSN systems. Laboratory tests with the usage of prototypal boards (Arduino / Genuino,…), transceivers, sensors (GPS receivers, IMU, ...), DC-DC converters, energy Harvesting components, combined with firmware programming and data processing (MathWorks, Python, Sketch Arduino, ...). • Communication skills: to know how to describe the architectural and circuit solutions adopted to solve the monitoring by using of WSN and GIS. • Learning skills: valid learning for insert in working contexts specialized in designing electronic systems such as WSN, sensor node units, and in management by means of GIS.
1038349 \| ULTRA WIDE BAND RADIO FUNDAMENTALS	2nd	1st	6	ING-INF/03	ENG
Educational objectives ENG GENERAL The goal of the course is the study of the Ultra Wide Band (UWB) communication technique and its application to the design of ad hoc networks, sensor networks, and distributed wireless networks. Key aspects of UWB systems will be analyzed in order to highlight the potential of a technology that seems to be a solid candidate for the definition of standards and specifications for future wireless systems for communications and positioning. The course will deal with the theoretical foundations of UWB communications, including practical exercises and application principles for each topic. SPECIFIC • Knowledge and understanding: techniques for UWB signal generation, time and frequency analysis of UWB signals, design of UWB receivers in AWGN and multipath channels, single-link and network performance analysis, positioning and localization techniques based on UWB technology. • Applying knowledge and understanding: analysis and design of UWB wireless networks as a function of the transmitted signal, channel, and used receiver, combining the analytical approach with the use of software tools for link and network simulation. • Making judgements: ability to design and dimension a UWB wireless network, correctly identifying constraints and objectives to be met for performance indicators and standardizations, selecting the best combination of tools to complete the task successfully and efficiently. • Communication skills: learn to present clearly and coherently topics related to UWB communications, combining an accurate analytical description, the ability of providing a comprehensive view of such topics, and the knowledge and use of software simulation tools. • Learning skills: Development of independent skills for studying advanced topics in the field of ultrawideband communications through the analysis of state of the art scientific publications.
1052242 \| DIGITAL SYSTEM PROGRAMMING	2nd	1st	6	ING-INF/01	ENG
Educational objectives The goal of the course of "Digital System Programming" is to provide the basics c/c++ and shell scripting programming under Linux OS.
10616834 \| QUANTUM COMPUTING AND NEURAL NETWORKS	2nd	1st	6	ING-IND/31	ENG
Educational objectives ENG GENERAL The main goal of the course is to provide the student with knowledge of the basic notions regarding the design and implementation of quantum algorithms and quantum computing architectures for machine learning and artificial intelligence, in order to deal with variational quantum circuits and quantum neural networks learning. The problems related to the design, implementation and testing of quantum computing architectures and quantum machine learning computational models will be considered, for the solution of both supervised and unsupervised learning problems such as optimization, prediction, clustering and classification, in real-world applications concerning signal, data and information processing. All of this also through systematic laboratory activity, during which the methodologies relating to the design and implementation of quantum computing architectures as well as quantum machine learning models such as quantum neural networks will be taken into consideration. SPECIFIC • Knowledge and understanding: study of computational models, circuits and architectures along their universality, as well as on the explanation of the main algorithmic techniques exploiting quantum physics using model abstraction, in order to solve hard computational problems. The fundamentals of data-driven learning approaches will be acquired for applications to real-world problems, with specific implementations using quantum circuits and quantum neural networks along with the use of existing software platforms. • Applying knowledge and understanding: to understand how to gain quantum advantage in applications related to data-driven learning problems such as time series analysis, Hyperdimensional Computing, and eXplainable AI, considering several real domains pertaining to energy, aerospace, earth observation, behavioral analysis, bioengineering, finance, fraud detection, and so forth. • Making judgements: to integrate the acquired knowledge in order to manage the complexity of inductive learning mechanisms and the actual limits imposed by currently adopted Noisy Intermediate-Scale Quantum (NISQ) devices, even starting from the limited information due to the practical organization of the course. • Communication skills: to communicate the knowledge acquired to specialist and non-specialist interlocutors in the fields of research and work in which she/he will carry on the subsequent scientific and/or professional activities, also considering technological and sustainability issues. • Learning skills: autonomous and self-managed study activity during the development of monothematic homework for didactic and/or experimental investigation, i.e., in a vertical way on some specific theoretical and applicative topics using, for instance, available cloud-based quantum systems like IBM’s Quantum Experience Platform, as well as quantum simulators like Qiskit, Pennylane and Flax.
10621500 \| REMOTE SENSING	2nd	1st	6	ING-INF/02	ENG
Educational objectives GENERAL The aim of the course is to provide students with theoretical and practical skills on remote sensing techniques and related electromagnetic modeling with reference to the spectral region of microwaves. The course will provide an overview of the sensors, techniques and models used to generate value-added products from remotely sensed microwave measurements. The theoretical lessons are accompanied by practical sessions aimed at applying the theoretical concepts to real problems. SPECIFIC KNOWLEDGE AND UNDERSTANDING: At the end of this course, the student must: - know the main theoretical assumptions related to microwave remote sensing; - know the main sensors for microwave remote sensing; - know the main applications to generate value-added products starting from remotely sensed measurements in the microwave spectral region. ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: At the end of this course the student will be able to: - describe and correctly interpret remotely sensed data in the microwave spectral region; - know the modeling that allows the interpretation of remote sensing microwave measurements; - autonomously process remote sensing data from microwaves; - use the tools and appropriate skills for data interpretation and information extraction from remote sensing microwave data. AUTONOMY OF JUDGMENT At the end of this course, the student will be able to formulate a judgment: - on the quality of remote sensing data from microwaves and their concrete usability; - on the models to be used to best interpret the remote sensing measurements. COMMUNICATION SKILLS At the end of the course the student must be able to: - use a correct and adequate language for the communication of information extracted from remotely sensed microwave data. LEARNING SKILLS At the end of this course, the student will be able to: - autonomously investigate the main aspects related to remote sensing microwave data; - autonomously develop remote sensing measurements and interpret them appropriately in order to generate value-added products related to Earth observation
10606343 \| RADAR IMAGING TECHNIQUES	2nd	1st	6	ING-INF/03	ENG
Educational objectives Knowledge and understanding: to know the fundamentals of SAR systems, SAR system design and main operating modes as well as main techniques for the focusing and autofocusing of SAR images and for the extraction of information from focused images. Applying knowledge and understanding: to know how to competently do proper choices for SAR systems design and to develop and apply techniques for the focusing/autofocusing and for the information extraction. Making judgements: to know how to integrate and use the acquired knowledge in order to choose the main system parameters and implement SAR signal processing chains comprising the cascade of many stages and to know how to critically analyze the corresponding results. The acquisition of this skill is strengthened by the activity required by the homework. Communication skills: to know how to illustrate with proper technical language the solutions chosen to solve SAR system design or SAR signal processing issues and to know how to describe and discuss results coming from specific processing techniques. The acquisition of this skill is strengthened by the final exam consisting in a talk during which the student describes the activity carried out for the homework using a PowerPoint presentation. Learning skills: to acquire the ability to complement the theoretical studies with practical applications of the studied concepts working to this aim autonomously.
1021813 \| Bioelectromagnetic Interaction I	2nd	2nd	6	ING-INF/02	ITA
Educational objectives KNOWLEDGE AND UNDERSTANDING. Knowledge of the methodological instruments and of the fundamental topics related to bioelectromagnetism in order to process and transfer information (interaction of EM fields with molecular structure, in particular aqueous solutions and cells, EM techniques oriented to evaluate fields induced in exposed tissues, physiological reactions of biological systems to EM stimulation, rationale and basic concepts of exposure safety standards), issues that also represent the ground for subsequent more specialized courses in the same scientific sector. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Ability in the processing of the bioelectromagnetic modelling in an application-oriented viewpoint, in order to predict the main phenomena related to the use of the electromagnetic fields on human being, organs, tissues, and cellular structures. MAKING AUTONOMOUS JUDGEMENTS. Valid potential of critical analysis on the fundamental applicative issues related to the use of the electromagnetic fields in presence of human subject. COMMUNICATE SKILLS. Acquisition of adequate awareness for the dissemination of the technical knowledge reached in the sector of the bioelectromagnetism. LEARNING SKILLS. Gradual achievement and extension of a knowledge level useful for the education of a professional figure in the field of human safety respect to the human exposure to EM fields in complex environment.
10621509 \| RADAR SYSTEMS	2nd	2nd	6	ING-INF/03	ENG
Educational objectives GENERAL The principles of operation of a radar system are introduced, for the detection, the estimation of distance, angle, Doppler frequency and amplitude and for the classification. The characteristics of radio-transceiver apparatus and their requirements are studied in depth, together with the characteristics of the radar signals processing chain, with their performance The relationships are assessed among radar systems, waveforms used, signal processing techniques, operating environment, and the achievable performance, aiming at the preliminary design of the system and its processing techniques and identifying guidelines for its design. Waveform compression for phase-modulated pulses, pulse integration, control of a constant false alarm rate and clutter cancellation techniques are studied in particular. The following are introduced: (i) search, tracking and navigation radar systems, with reference to the control of piloted and unpiloted air traffic, naval and road traffic; (ii) Proximity radar sensors for presence, occupancy, movement, and behavior analysis for local surveillance in open and closed environments (iii) surface survey and imaging radar systems for environmental monitoring from surface, aerial and satellite platforms. The corresponding relevant problems of preliminary design are analyzed and addressed SPECIFIC • Knowledge and understanding: the student shall demonstrate knowledge and understanding of radar systems and their signal processing techniques. He/she must also understand how the basic principles and processing techniques are employed in different radar systems in their respective reference contexts. • Applying knowledge and understanding: The student must be able to apply the principles of operation and the radar signal processing techniques in a competent and critical way. The student must have adequate competences to both devise and support arguments, and to solve new detection and estimation problems. The student must set the radar systems in the appropriate position inside the wider systems for surveillance, navigation, monitoring, or Earth observation. • Making judgements: The student must be able to integrate knowledge and handle the complexity of the systems for surveillance, navigation, monitoring, or Earth observation. The student must be able to tackle a preliminary system design also in the presence of limited or incomplete information; reflect on the social and ethical responsibilities connected to the application of the technologies for surveillance, navigation, monitoring, or Earth observation. • Communication skills: The student must be able to describe the solutions selected while addressing the preliminary design of a radar system that fulfils assigned design specifications. • Learning skills: The student must be able to address the preliminary design of the systems in autonomous manner.

The student must acquire 24 CFU from the following exams

Lesson	Year	Semester	CFU	SSD	Language
1041750 \| NANOELECTRONICS LABORATORY	1st	1st	6	ING-INF/01	ENG
Educational objectives The course provides the student with an adequate training support regarding numerical simulations to the finite elements with models of electronic device literature both for R & D needs and production processes of interest for electronic nanotechnologies. During the course, adequate basic information is also provided on the main electrical characterization techniques on nanometer components integrated on wafers. In particular, the course aims to provide the master's degree in industrial nanotechnology engineering with the necessary knowledge to enable him to choose the optimal electronic nanocaracterization techniques and methodologies within the processes and procedures that he will be called to define / design in the scope of his professional profile.
1042011 \| ACCELERATOR PHYSICS AND RELATIVISTIC ELECTRODYNAMICS	1st	2nd	6	FIS/01	ENG
Educational objectives ENG GENERAL The course aims to provide students with an understanding of the principles of special relativity with a focus on the application to particle accelerator physics. The connection between relativity and classical mechanics, electromagnetism and the transformation of fields between inertial reference frames will be discussed. The course will also introduce the fundamentals of relativistic motion of charges in electric and magnetic fields, with a focus on the operation of modern particle accelerators, including linear accelerators, cyclotrons and synchrotrons. The final goal is to provide students not only with the theoretical knowledge but also with the practical skills needed to analyze and design particle acceleration schemes and related devices. Through the study of betatron and synchrotron motion, students will be able to understand the operation of circular accelerators and to use simulation tools such as the XSuite code (https://xsuite.readthedocs.io/en/latest/) independently. SPECIFIC • Knowledge and understanding: to acquire knowledge of the principles of special relativity and their application to the physics of particle accelerators, including the transformations of electromagnetic fields between inertial systems and the operation of linear and circular accelerators. • Applying knowledge and understanding: to analyze the motion of charges in different devices such as magnetic dipoles and quadrupoles, as well as evaluate the power radiated by electric charges in circular accelerators. • Making judgements: to develop the ability to evaluate the operation of circular accelerators through the study of the motion of betatrons and synchrotrons and to independently use the XSuite code for the simulation of beam dynamics. • Communication skills: explain clearly and rigorously, the concepts related to particle accelerators, using the appropriate technical language. • Learning skills: to develop skills that will allow a student to independently study advanced topics in the field of accelerator physics and related technologies.
1042004 \| Advanced Antenna Engineering	1st	2nd	6	ING-INF/02	ENG
Educational objectives GENERAL The course aims to introduce student: to fundamental theorems and antenna parameters; to advanced theory of antenna arrays, antenna diversity, MIMO systems, periodic structures; to the analysis and design of resonant and traveling-wave antennas; to numerical methods in electromagnetics and to the method of memonts in particular; to a survey of sundry topics in the antenna field. SPECIFIC • Knowledge and understanding: to know analytical and numerical methods for the analysis of antenna arrays, of periodic structures through equivalent networks, of planar resonant and traveling-wave antennas. • Applying knowledge and understanding: to know how to apply the methods to the analysis and design of different classes of radiating systems. • Critical and judgmental skills: to be able to select the most convenient antenna solution for various application scenarios, to select approximate models for carrying out a preliminary design, to select numerical methods for achieving the final design through full-wave simulations. • Communication skills: to be able to describe the design solutions adopted for resonant and traveling-wave antennas and the relevant numerical simulation. Communication skills are realized by means of oral expositions on single topics about modelling, design, and antenna simulation. • Learning skills: ability to deepen the acquired analysis and design skills and navigate the relevant scientific literature.
1042016 \| ADVANCED ELECTROMAGNETICS AND SCATTERING	1st	2nd	6	ING-INF/02	ENG
Educational objectives ENG GENERAL The course is aimed to present an overview of some advanced topics in Electromagnetics, of considerable importance for the applications, and an introduction to electromagnetic scattering. Key instruments extensively used for their physical intuition and representative power are the modal expansion with the relevant equivalent distributed circuits, and the plane‐wave spectra. The concepts of Green’s function and integral representation are also studied in depth. Specific • Knowledge and understanding: The course is aimed at presenting an overview of some advanced topics in Electromagnetics, of considerable importance for the applications, and an introduction to electromagnetic scattering. • Applying knowledge and understanding: Students will be able to have an overall vision of modern electromagnetics, with particular reference to the unifying methodological aspects and to the mathematical techniques employed, which will allow them to easily find their bearings in successive study or in job positions, due to the great generality of the faced themes. In particular, the students will have understood in depth the principal concepts of guided and free propagation, as well as the approach to the scattering problems, solved both in closed form (canonical problems) and numerically. • Making judgements: To be able to formulate a proper evaluation relevant to the Course topics and their importance in the applications. To be able to collect and critically evaluate additional information to achieve a greater awareness of the Course topics. • Communication skills: To be able to describe the Course topics. To be able to communicate the knowledge acquired on the Course topics. • Learning skills: Key instruments extensively used for their physical intuition and representative power are the modal expansion with the relevant equivalent distributed circuits, and the plane‐wave spectra. The concepts of Green’s function and integral representation are also studied in depth.
10589999 \| EARTH OBSERVATION	1st	2nd	6	ING-INF/02	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with theoretical and practical skills on Earth observation through remote sensing. The course will provide an overview of the sensors and techniques used to generate value-added products from satellite remote sensing measurements. The theoretical lessons, including notions related to electromagnetic modeling and sensors used, are supported by practical sessions aimed at processing remote sensing measurements for the generation of value-added products. SPECIFIC: KNOWLEDGE AND UNDERSTANDING At the end of this course the student will know: - the main theoretical assumptions related to earth observation; - the main sensors for earth observation; - the main applications to generate value-added products starting from remote sensing measurements ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING At the end of this course the student will: - describe and interpret correctly remote sensing data; - know the principles underlying remote sensing measurements; - independently collect and process remote sensing data; - use the tools and appropriate skills for data interpretation and information extraction from remote sensing data. JUDGMENT ABILITY At the end of this course the student will be able to formulate an opinion: - on the quality of remote sensing data; - on the potential of each sensor with respect to the geophysical parameters to be observed;. COMMUNICATION SKILLS At the end of the course the student will: - use correct and adequate language for the communication of information extracted from remote sensing data. LEARNING SKILLS At the end of this course the student will: - independently investigate the main aspects related to remote sensing data; - independently process remote sensing measures in order to generate added value products related to earth observation
1038139 \| Embedded Systems	1st	2nd	6	ING-INF/01	ENG
Educational objectives ENG GENERAL The module provides: the basics of the design of digital circuits for embedded systems, the ability to make decisions in the derivation of design solutions from technical specifications, selecting the most suitable architectures for different applications. SPECIFIC • Knowledge and understanding: to know the architectures for embedded systems in their different shapes and characteristics, to know the architectures of 8, 16 and 32 bit CPUs, the characteristics of an Instruction Set Architecture, the typical characteristics of external units: memories, timers, interrupt controllers, communication units. Building toolchains for embedded systems, high-level languages and assembly, code analysis and debugging. • Applying knowledge and understanding: to apply embedded system design methodologies, ability to write code characteristic of embedded systems (e.g. direct access to hardware, interrupt routines). • Making judgements: to carry out embedded systems design solutions based on requirements. • Communication skills: to know how to describe the solutions chosen to solve the design problem: characteristics of instruction set architectures, required level of programming (C language, assembly), expected performance and description of the organization of the software project. • Learning skills: ability to continue subsequent studies considering more advanced hardware/software architectures, for example multicore systems or microkernel-based systems.
1056086 \| GROUND PENETRATING RADAR	1st	2nd	6	ING-INF/02	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. The main goal of this interdisciplinary course is to provide students with theoretical and practical knowledge necessary for a safe, effective and advanced use of Ground-Penetrating Radar (GPR) technique in a wide range of application areas. Successful Students will gain a wide up-to-date perspective on GPR technology and methodology. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful Students will be able to use GPR instrumentation in several application areas. They will also be able to use electromagnetic modelling and data processing software tools. MAKING AUTONOMOUS JUDGEMENTS. Successful Students will be able to properly choose GPR equipment, design a survey and acquire reliable data in different application areas. They will know how to model GPR scenarios, process and interpret radargrams, besides having understood how GPR can be associated to complementary non-invasive approaches. COMMUNICATE SKILLS. Successful Students will be able to share knowledge about what they learnt in both academia and industry environments. LEARNING SKILLS. Successful Students will be ready to study more in depth the topics covered by this course.
1041749 \| LASER FUNDAMENTALS	1st	2nd	6	FIS/01	ENG
Educational objectives Generals The aim of the course is to provide the student with an understanding of the principles of operation of active optical devices based on the interaction of light with nanoscale systems; it also wants to provide an understanding of the most current laser design and construction techniques (q-dots, photonic crystal laser) and their uses in the field of optoelectronics, quantum information and also in diagnostics that use miniaturized optical sources Specifics • Knowledge and understanding: know analytical methods to understand how lasers work in various fields, as well as know the basic technology of quantum electronics • Ability to apply knowledge and understanding: apply analysis and learning methodologies, through activities also in the laboratory. • Critical and judgmental skills: tests are carried out • Communication skills: knowing how to describe what has been learned in the field of knowledge of technologies operating laser devices. The communication skills are realized by addressing some fundamental topics with the request for active participation in the solution of problems, based on the knowledge acquired from previous lessons or from courses already passed. • Ability to continue the study independently throughout life: ability to continue subsequent studies concerning advanced themes of photonics and quantum electronics, based on the acquired analysis and project methodologies.
1056158 \| MACHINE LEARNING FOR SIGNAL PROCESSING	1st	2nd	6	ING-IND/31	ENG
Educational objectives ENG GENERAL The course “Machine Learning for Signal Processing” aims to provide a solid understanding of machine learning techniques applied to signal processing. Starting from foundational concepts in supervised, unsupervised, and generative learning, students are guided through the analysis, modeling, and synthesis of complex signals using neural and probabilistic models. The course covers classical architectures such as multilayer perceptrons, convolutional and recurrent networks, and progresses to advanced generative models like autoencoders, GANs, and diffusion models, with applications in audio, biomedical, and time-series signals. Through a mix of theoretical lectures and hands-on Python notebooks, the course enables students to design intelligent systems for signal analysis and critically evaluate their outcomes. SPECIFIC • Knowledge and understanding: Understand the principles of machine learning and how they apply to signal processing tasks. • Applying knowledge and understanding: Be able to implement and adapt machine learning models across various signal domains (audio, biomedical, temporal). • Making judgements: Justify the selection of suitable methods based on the nature of the signal and the problem at hand. • Communication skills: Effectively communicate approaches, results, and implications of signal analysis using machine learning techniques. • Learning skills: Develop autonomy in studying new techniques and applying models to novel datasets.
1042012 \| OPTICS	1st	2nd	6	FIS/01	ENG
Educational objectives The course has as its objective to acquire detailed knowledge on light, his behavior and the major optical components and devices adapted to its processing. The lessons are then directed to deepen the knowledge of the propagation of light as waves, analyzing the phenomena of interference and diffraction. They will be analyzed, in geometrical optics regime, the main optical and active components as well as the guided optical properties. Will data elements for the advanced optical design.
10589485 \| THERAPEUTIC APPLICATIONS OF LOW FREQUENCY ELECTROMAGNETIC FIELDS	1st	2nd	6	ING-INF/02	ENG
Educational objectives The main goal of this interdisciplinary course is to provide students theoretical and practical knowledge necessary for the understanding of important biomedical applications of widespread clinical use based on the biological effects of electromagnetic fields. Passing the exam, students will have an overview of clinical applications based on electromagnetic fields from the biophysical basic principles to the operation of the entire machine. They will adequately support the medical staff, they will use the software and measurement techniques necessary for validation and use. They will be ready to use the topics covered during the course in the world of work as the basis of design and optimization and deepen towards more technologically innovative applications.
10621422 \| DESIGN OF MICROPROCESSORS AND ACCELERATORS	1st	2nd	6	ING-INF/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. RTL design, VHDL/SystemVerilog, microprocessor architectures. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Digital circuit design, FPGA/ASIC synthesis, microprocessor design/programming. MAKING AUTONOMOUS JUDGEMENTS. Evaluation of design alternatives and technologies to be used. COMMUNICATE SKILLS. Specification and modeling of digital systems, team work LEARNING SKILLS. Any subsequent advancement on digital circuits, architectures and programming.
10621509 \| RADAR SYSTEMS	1st	2nd	6	ING-INF/03	ENG
Educational objectives GENERAL The principles of operation of a radar system are introduced, for the detection, the estimation of distance, angle, Doppler frequency and amplitude and for the classification. The characteristics of radio-transceiver apparatus and their requirements are studied in depth, together with the characteristics of the radar signals processing chain, with their performance The relationships are assessed among radar systems, waveforms used, signal processing techniques, operating environment, and the achievable performance, aiming at the preliminary design of the system and its processing techniques and identifying guidelines for its design. Waveform compression for phase-modulated pulses, pulse integration, control of a constant false alarm rate and clutter cancellation techniques are studied in particular. The following are introduced: (i) search, tracking and navigation radar systems, with reference to the control of piloted and unpiloted air traffic, naval and road traffic; (ii) Proximity radar sensors for presence, occupancy, movement, and behavior analysis for local surveillance in open and closed environments (iii) surface survey and imaging radar systems for environmental monitoring from surface, aerial and satellite platforms. The corresponding relevant problems of preliminary design are analyzed and addressed SPECIFIC • Knowledge and understanding: the student shall demonstrate knowledge and understanding of radar systems and their signal processing techniques. He/she must also understand how the basic principles and processing techniques are employed in different radar systems in their respective reference contexts. • Applying knowledge and understanding: The student must be able to apply the principles of operation and the radar signal processing techniques in a competent and critical way. The student must have adequate competences to both devise and support arguments, and to solve new detection and estimation problems. The student must set the radar systems in the appropriate position inside the wider systems for surveillance, navigation, monitoring, or Earth observation. • Making judgements: The student must be able to integrate knowledge and handle the complexity of the systems for surveillance, navigation, monitoring, or Earth observation. The student must be able to tackle a preliminary system design also in the presence of limited or incomplete information; reflect on the social and ethical responsibilities connected to the application of the technologies for surveillance, navigation, monitoring, or Earth observation. • Communication skills: The student must be able to describe the solutions selected while addressing the preliminary design of a radar system that fulfils assigned design specifications. • Learning skills: The student must be able to address the preliminary design of the systems in autonomous manner.
10589493 \| DISCRETE MATHEMATICS	1st	2nd	6	MAT/03	ENG
Educational objectives THE COURSE AIMS TO GIVE STUDENTS AN INTRODUCTION TO DISCRETE MATHEMATICS, WHICH IS ONE OF THE MOST INNOVATIVE AREAS OF MATHEMATICS, DEVELOPED SINCE THE SECOND HALF OF THE TWENTIETH CENTURY, FULL OF CHALLENGING PROBLEMS AND EXTREMELY USEFUL FOR APPLICATIONS. DURING THE COURSE, STUDENTS WILL MEET WITH A NUMBER OF ISSUES AND PROBLEMS OF A TYPE COMPLETELY DIFFERENT FROM THOSE ENCOUNTERED IN OTHER TRADITIONAL MATHEMATICS COURSES, AND DEVELOP, THROUGH A SYSTEMATIC EFFORT AIMED AT “PROBLEM SOLVING”, A PRACTICAL APPROACH TO THE STUDY OF PROBLEMS OF GREAT EDUCATIONAL VALUE, ESPECIALLY FOR FUTURE CAREERS. AT THE END OF THE COURSE , THE SUCCESSFUL STUDENT • WILL HAVE LEARNED THE METHODS, THE PROBLEMS, AND THE POSSIBLE APPLICATIONS OF DISCRETE MATHEMATICS. • WILL BE ABLE TO UNDERSTAND, TACKLE AND SOLVE SIMPLE PROBLEMS RELATED TO DISCRETTE MATHEMATICS. • THROUGH WRITTEN ESSAYS AND POSSIBLE ORAL PRESENTATIONS HE/SHE WILL DEVELOP APPROPRIATE CAPACITY OF JUDGEMENT AND CRITICISM. • AT THE SAME TIME HE/SHE WILL EXERCISE HIS/HER ABILITY TO PRESENT AND TRANSMIT WHAT HE/SHE HAS LEARNED. • PERSONAL, INDIVIDUAL STUDY WILL TRAIN HIS/HER CAPACITY OF INDEPENDENT AND AUTONOMOUS LEARNING ACTIVITY.
10589433 \| MATHEMATICAL METHODS FOR INFORMATION ENGINEERING	1st	2nd	6	MAT/05	ENG
Educational objectives Learning of advanced knowledge of Mathematical Analysis towards applications. Differential Calculus in several variables, minima and maxima with constraints. Analysis of mathematical models. A) Knowledge and understanding: to know basic concepts and their use in exercises of mathematical analysis with the support of texts and lecture notes in Mathematical Methods for Information Engineering. B) Applying knowledge and understanding: to be able to use the acquired knowledge and understanding in solving problems and to communicate the arguments. C) Making judgements: to be able to collect and understand exercises results to solve similar problems in in an autonomous context. To single out common features in different problems D) Communication skills: to relate about assumptions, problems and solutions to wide audiences. E) Learning skills: to acquire the competence that is necessary for advanced study.
10621625 \| WIRELESS ACCESS NETWORKS	1st	2nd	6	ING-INF/03	ENG
Educational objectives GENERAL The Wireless Access course aims to develop and acquire theoretical knowledge on the topic of medium access in wireless telecommunications systems and their application in modern communication systems such as 5G and "beyond 5G." An integral part of the course objectives is the development of design skills of the access system, achieved through mastery of mathematical theories essential for modeling wireless access, and in particular the statistical theory of time-discrete random processes and queueing theory. Hands-on skills complement the above and lead to the acquisition of abilities in the use of simulation tools for performance analysis of complex systems. SPECIFIC • Knowledge and understanding: multiple access techniques (TDMA, FDMA, CDMA, SDMA, NOMA), algorithms and protocols for wireless access (Medium Access Control, MAC) and resource management in wireless networks, also for coexisting networks (cognitive radio).   • Applying knowledge and understanding: analysis and design of wireless networks as a function of incoming traffic and of the wireless access protocol, combining the analytical approach with the use of software tools for link and network simulation. • Making judgements: ability to design and dimension a wireless network, correctly identifying constraints and objectives to be met for performance indicators, selecting the best combination of tools to complete the task successfully and efficiently. • Communication skills: learn to present clearly and coherently topics related to wireless access, combining an accurate analytical description with the ability of providing a comprehensive view of such topics. • Learning skills: development of the ability to delve deeper into the topics covered in the course through the independent study of specifically suggested scientific article.
10589170 \| Artificial materials - metamaterials and plasmonics for electromagnetic applications	2nd	1st	6	ING-INF/02	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. The Course is aimed to provide the general electromagnetic theory of artificial materials, metamaterials and plasmonic structures, of considerable importance in many recent applications. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The students will be able to model from the electromagnetic point of view, and to simulate the relevant behaviour using numerical techniques, some materials of particular interest in the applications. MAKING AUTONOMOUS JUDGEMENTS. Written reports will be compiled. COMMUNICATE SKILLS. Oral presentations will be performed. LEARNING SKILLS. Key instruments extensively used for their physical intuition and representative generality are the constitutive relations, the homogenization concept and the equivalent-circuit representations.
1044577 \| COMPUTATIONAL INTELLIGENCE	2nd	1st	6	ING-IND/31	ENG
Educational objectives Introduction to Machine Learning and data driven modelling. Soft Computing, Computational Intelligence. Basic data driven modelling problems: clustering, classification, unsupervised modelling, function approximation, prediction. Generalization capability. Deduction and induction. Induction inference principle over normed spaces. Models and training algorithms. Distance measures and basic preprocessing procedures. Optimization problems. Optimality conditions. Linear regression. LSE and RLSE algorithms. Numerical optimization algorithms: steepest descent and Newton’s method. Fuzzy logic principles. Fuzzy induction inference principle. Fuzzy Rules. Classification systems: performance and sensitivity measures. K-NN Classification rule. The biological neuron and the central nervous system. Perceptron. Feedforward networks: Multi-layer perceptron. Error Back Propagation algorithm. Support Vector Machines. Automatic modeling systems. Structural parameter sensitivity. Constructive and pruning algorithms. Generalization capability optimization: cross-validation and Ockham's razor criterion based techniques. Min-Max neurofuzzy classifiers; standard and regularized training algorithm. ARC, PARC; Principal Component Analysis; Generalized Min-Max neurofuzzy networks. GPARC. Swarm Intelligence. Evolutionary Computation. Genetic algorithms. Particle Swarm Optimization, Ant Colony Optimization. Automatic feature selection. Fuzzy reasoning. Generalized modus ponens; FIS; fuzzyfication and e defuzzyfication. ANFIS. Basic and advanced training algorithms: clustering in the joint input-output space, hyperplane clustering. Outline of prediction and cross-prediction problems: embedding based on genetic algorithms. Applications and case studies: micro-grids energy flows modelling and control, Smart Grids optimization and control, classification of TCP/IP traffic flows. Mining of frequent patterns and rule extraction in large data bases (Big Data Analytics).
1038349 \| ULTRA WIDE BAND RADIO FUNDAMENTALS	2nd	1st	6	ING-INF/03	ENG
Educational objectives ENG GENERAL The goal of the course is the study of the Ultra Wide Band (UWB) communication technique and its application to the design of ad hoc networks, sensor networks, and distributed wireless networks. Key aspects of UWB systems will be analyzed in order to highlight the potential of a technology that seems to be a solid candidate for the definition of standards and specifications for future wireless systems for communications and positioning. The course will deal with the theoretical foundations of UWB communications, including practical exercises and application principles for each topic. SPECIFIC • Knowledge and understanding: techniques for UWB signal generation, time and frequency analysis of UWB signals, design of UWB receivers in AWGN and multipath channels, single-link and network performance analysis, positioning and localization techniques based on UWB technology. • Applying knowledge and understanding: analysis and design of UWB wireless networks as a function of the transmitted signal, channel, and used receiver, combining the analytical approach with the use of software tools for link and network simulation. • Making judgements: ability to design and dimension a UWB wireless network, correctly identifying constraints and objectives to be met for performance indicators and standardizations, selecting the best combination of tools to complete the task successfully and efficiently. • Communication skills: learn to present clearly and coherently topics related to UWB communications, combining an accurate analytical description, the ability of providing a comprehensive view of such topics, and the knowledge and use of software simulation tools. • Learning skills: Development of independent skills for studying advanced topics in the field of ultrawideband communications through the analysis of state of the art scientific publications.
10589516 \| OPTICAL QUANTUM TECHNOLOGY	2nd	1st	6	FIS/01	ENG
Educational objectives KNOWLEDGE AND UNDERSTANDING. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. COMMUNICATE SKILLS. LEARNING SKILLS
1052242 \| DIGITAL SYSTEM PROGRAMMING	2nd	1st	6	ING-INF/01	ENG
Educational objectives The goal of the course of "Digital System Programming" is to provide the basics c/c++ and shell scripting programming under Linux OS.
10621500 \| REMOTE SENSING	2nd	1st	6	ING-INF/02	ENG
Educational objectives GENERAL The aim of the course is to provide students with theoretical and practical skills on remote sensing techniques and related electromagnetic modeling with reference to the spectral region of microwaves. The course will provide an overview of the sensors, techniques and models used to generate value-added products from remotely sensed microwave measurements. The theoretical lessons are accompanied by practical sessions aimed at applying the theoretical concepts to real problems. SPECIFIC KNOWLEDGE AND UNDERSTANDING: At the end of this course, the student must: - know the main theoretical assumptions related to microwave remote sensing; - know the main sensors for microwave remote sensing; - know the main applications to generate value-added products starting from remotely sensed measurements in the microwave spectral region. ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: At the end of this course the student will be able to: - describe and correctly interpret remotely sensed data in the microwave spectral region; - know the modeling that allows the interpretation of remote sensing microwave measurements; - autonomously process remote sensing data from microwaves; - use the tools and appropriate skills for data interpretation and information extraction from remote sensing microwave data. AUTONOMY OF JUDGMENT At the end of this course, the student will be able to formulate a judgment: - on the quality of remote sensing data from microwaves and their concrete usability; - on the models to be used to best interpret the remote sensing measurements. COMMUNICATION SKILLS At the end of the course the student must be able to: - use a correct and adequate language for the communication of information extracted from remotely sensed microwave data. LEARNING SKILLS At the end of this course, the student will be able to: - autonomously investigate the main aspects related to remote sensing microwave data; - autonomously develop remote sensing measurements and interpret them appropriately in order to generate value-added products related to Earth observation
10621515 \| SMART SENSORS AND TRANSDUCERS FOR ADVANCED ELECTRONIC SYSTEM	2nd	1st	6	ING-INF/07	ENG
Educational objectives ENG GENERAL The aim of the course is to provide students with theoretical and practical knowledge for the design and characterization of measurement systems based on smart sensors, with a focus on electronic, mechatronic, and biomedical applications. The course covers the complete design workflow: from sensor selection, to development of signal conditioning and acquisition electronics, up to digital signal processing and transmission. Lectures are complemented by lab sessions to practice the learned concepts and develop a working prototype. SPECIFIC • Knowledge and understanding: to understand the principles, technologies and models of the main types of sensors and transducers. • Applying knowledge and understanding: to design and implement intelligent measurement systems including sensors, analog front-end, and data transmission. • Making judgements: to select the most suitable sensors and circuitry depending on application and metrological requirements.
1044589 \| Pattern Recognition	2nd	2nd	6	ING-IND/31	ENG
Educational objectives ENG GENERAL The course aims to provide students with a solid theoretical and practical foundation in Pattern Recognition techniques, with a focus on classification and clustering problems, in both algebraic and non-algebraic domains, and Natural Language Processing through Transformers architectures. By the end of the course, students will be able to critically understand and interpret advanced scientific texts in the field, gaining in-depth knowledge of state-of-the-art methodologies. They will also be capable of independently applying the learned principles and algorithms to design Pattern Recognition systems in multidisciplinary contexts, consciously selecting the most suitable approach based on the specific problem requirements. The course also fosters the development of transversal skills: students will learn to effectively document their work through technical reports and presentations, clearly communicating methods, results, and performance assessments. Finally, a central objective of the course is to promote a mindset of continuous learning, which is essential to keep skills up to date in the ever-evolving ICT landscape. SPECIFIC • Knowledge and understanding: The course provides the basic principles of Pattern Recognition techniques, focusing on classification and clustering in domains that are not necessarily algebraic. Students who pass the final exam will be able to read and understand scientific texts and articles on advanced topics in the field of Pattern Recognition. • Applying knowledge and understanding: Students who pass the final exam will be able to apply the studied methodological principles and algorithms to design innovative Pattern Recognition systems in multidisciplinary contexts. • Making judgements: Students who pass the final exam will be able to analyze design requirements and select the classification system that best fits the specific case study. • Communication skills: Students who pass the final exam will be able to write a technical report and create an appropriate presentation documenting the design, development, and performance evaluation of a Pattern Recognition system. • Learning skills: Students who pass the final exam will be able to independently deepen their understanding of the topics covered in class, engaging in the continuous learning process that characterizes professional development in the ICT field.
1021788 \| MATHEMATICAL PHYSICS	2nd	2nd	6	MAT/07	ITA
Educational objectives A) Learning of basic knowledge of mathematical models of Continuum Mechanics based on Partial Differential Equations. Learning of the main perturbative methods: direct perturbative method, multiple scales and boundary layers. B) Learning to set up and analyze problems for Partial Differential Equations. Learning to use the main perturbative methods when small parameters appear, also by means of qualitative analysis. D), E) Development of the ability to understand qualitatively the solution, to exchange the results and to seek help in textbooks or from experts. In this connection, construction and graphical visualization of solutions obtained by symbolic calculus (MUPAD toolbox for MATLAB).
10600481 \| PROBABILITA' E STATISTICA PER L'INGEGNERIA	2nd	2nd	6	MAT/06	ITA
Educational objectives Learning goals The primary educational objective of the course is students' learning of the main theoretical aspects related to probability and statistical inference. Students must also be able to solve the analytical problems necessary to apply the aforementioned theoretical concepts. Knowledge and understanding. At the end of the course the students know and understand the main aspects related to the theory of probability and the statistical methodology. Furthermore, students will learn the main methods useful to solve the problems linked to the uncertainty and data analysis. Applying knowledge and understanding. At the end of the course students are able to formalize problems related to uncertainty in terms of probabilistic problems and to apply the specific statistical methods to solve them. They are also able to model engineering phenomena through remarkable probabilistic structures. Making judgements. Students develop critical skills through the application of theory to a wide range of statistical models. They also develop the critical sense through the comparison between alternative solutions to the same problem obtained using different methodological tools of the data analysis. Communication skills. Students, through the study and the practical exercises, acquire the technical-scientific language of the probability, which must be properly used both in the final test. Learning skills. Students who pass the exam have learned the basic concepts of probability and statistical inference that allow them to deal with issues related to decision problems for engineering.
10621561 \| SISTEMI OPERATIVI	2nd	2nd	6	INF/01	ITA
Educational objectives "General goals: The course focuses on operating systems concepts, structure, and mechanisms. Fundamental characteristics, present since the most traditional systems, will be treated, but also peculiarities of modern systems that arise due to the recurring evolution of technology." "Specific goals: The course will cover the characteristics and concepts of modern operating systems, with particular reference to Unix and Linux systems. We will start with a description of the evolution of operating systems over time and continue with fundamental concepts such as processes, stalling and related prevention mechanisms, process concurrency, memory management, processor and I/O, files system, and security." "Knowledge and understanding: To understand in depth how operating systems support the execution of user programs and manage the hardware peripherals of a computer. Fundamental methods and techniques for in-memory process representation and efficient handling of multiprogramming - multiple processes loaded/running concurrently - on a resource-constrained system." "Applying knowledge and understanding: Design user and system-level programs efficiently and securely." "Critical and judgmental abilities: To predict the use of resources required by a program, to discover a possible deadlock situation in a multi-programmed system. to ensure mutual exclusion between processes and secure access to memory areas or sensitive resources." "Communication skills: Knowing how to clearly and precisely communicate the characteristics of operating systems and their software/hardware support mechanisms." "Learning ability: Know how to exploit the knowledge acquired in the design of systems and user programs in the next module of the course. Use this knowledge in learning properties of more complex systems such as distributed and cloud systems."