Electronics Engineering

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.

Educational objectives

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
CAPABILITY TO APPLY 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 AUTONOMOUS JUDGEMENTS. Capability of carrying out autonomously the design of an electronic circuit or sub-system
COMMUNICATE 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

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

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Students will acquire a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals, to the photovoltaics for solar energy conversion, for reduction of power consumption.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Students will acquire 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 AUTONOMOUS JUDGEMENTS.
Students will acquire the expertise to design and to evaluate performance of most optoelectronic devices for any optoelectronic system.
COMMUNICATE SKILLS.
Students will acquire the 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.
Students will acquire the 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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING
Upon completion of the course, the student will know the principles of special relativity, with particular reference to the link with classical mechanics, electromagnetism, the transformations of fields between inertial reference systems, the principles on which modern particle accelerators are based, the relativistic motion of charges in electric and magnetic fields and the functioning of linear accelerators, cyclotrons and synchrotrons
APPLICATION CAPABILITIES:
The student will be able to schematically design some devices used in accelerators, such as quadrupoles, and discuss the motion of the charges in these devices.
AUTONOMY OF JUDGMENT
The student will be able to determine the operating principles of a circular accelerator thanks to the acquired concepts of betatron and synchrotron motion and to independently use the simulation code ASTRA (A Space Charge Tracking Algorithm).
COMMUNICATION SKILLS
The student will be able to deal with topics related to particle accelerators using terms and concepts typical of this sector

Educational objectives

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.
• Critical and judgmental skills: 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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The module deals with the basic principles of pattern recognition, classification and clustering on both metric and non-metric domains. Successful students will be able to read and understand texts and papers on advanced topics of Pattern Recognition.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful students who pass the final exam will be able to apply the methodological principles and algorithms studied during the course to design innovative Pattern Recognition systems, in multidisciplinary contexts.

MAKING AUTONOMOUS JUDGEMENTS. Successful students will be able to analyze the design requirements and to choose the classification system that best suits the case study.

COMMUNICATE SKILLS. Successful students will be able to compile a technical report and to realize an appropriate presentation concerning any design, development and performance measurement activity related to a Pattern Recognition system.

LEARNING SKILLS. Successful students will be able to further study by their own the topics dealt with in class, realizing the necessary continuous learning process that characterizes any ICT job.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. Knowledge and comprehension of methods and techniques related to the electromagnetic compatibility issues.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Capability to apply knowledge to solve compatibility problems in sensible electronic devices, circuits and systems.
MAKING AUTONOMOUS JUDGEMENTS. Capability to apply knowledge to develop analytical and numerical techniques to predict parasitic coupling, signal distortion and radiated emission.
COMMUNICATE SKILLS. To be able to interact with specialists and non specialist of technical issues concerning the compatibility problems in sensible electronic devices, circuits and systems.
LEARNING SKILLS. To be able to find professional and scientific literature useful to improve the knowledge in the field.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. 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.
CAPABILITY TO APPLY 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 AUTONOMOUS 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.
COMMUNICATE 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.

Educational objectives

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).
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: Design capability for the functional blocks of an integrated RF receiver in CMOS technology.
MAKING AUTONOMOUS JUDGEMENTS: Capability of carrying out autonomously the design of RF functional blocks under the constraints of monolithic integration.
COMMUNICATE 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.

Educational objectives

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.
• Ability to apply 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).
• Critical and judgmental skills: Ability to choose the microcontroller solutions and architectures best suited to the project context, distinguishing the performance/characteristics of different CPUs and external units present in the architecture.
• 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.
• Ability to continue the study independently throughout life: ability to continue subsequent studies considering more advanced hardware/software architectures, for example multicore systems or microkernel-based systems.

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.

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.

Educational objectives

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
CAPABILITY TO APPLY 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 AUTONOMOUS 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
COMMUNICATE 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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. Being able to use knowledge derived from previously studied courses and to understand new concepts that will enrich the cultural baggage of the student.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Being able to put into practice a methodology studied during the course in a new problem, albeit related to the examples developed during classroom exercises.
MAKING AUTONOMOUS JUDGEMENTS. Being able to recognize an applicative problem and to justify the choice of a specific methodology to solve it.
COMMUNICATE SKILLS. Being able to understand of the motivations for choosing a specific methodology, its methodological derivation and its implementation in a practical problem.
LEARNING SKILLS. Being able to independently study and implement machine learning solutions through the software tools learned during the course and being able to apply such solutions in problems that are new for the student.

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.

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.

Educational objectives

The module aims to provide a general background on the remote sensing systems for Earth Observation from airborne, and especially space-borne platforms. It describes, using a system approach, the characteristics of the system to be specified to fulfil the final user requirements in different application domains. It reviews the physical bases of remote sensing and simple wave interaction models useful for data interpretation. It describes or simply recalls the technical principles of the main sensors operating in different ranges of the electromagnetic spectrum. It provides an overview of the most important applications and bio-geophysical parameters (of the atmosphere, the ocean and the land) which can be retrieved in different regions of the electromagnetic spectrum. It reviews the most important techniques for data processing and product generation, also by proposing practical exercises using the computer. Finally, it provides an overview of the main Earth Observation satellite missions and the products they provide to the final user.

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.

Educational objectives

GENERAL
Module aims to introduce student to the knowledge of design techniques and technologies, regarding long-distance radio-link, in particular satellite communications. It examines the specific segments: Space, Control and User. Moreover, the consequences on the design of solid-state electronic devices operating in the space are analysed, in particular the effects of ionizing radiation. Furthermore, the module aims to know high efficiency power amplifiers (HPA).

SPECIFIC
• Knowledge and understanding: to know analytical methods for evaluating electronic components, and for selecting different and specific design methods in order to build equipment for the Space. Furthermore, to know analytical methods for final stages design of high efficiency.
• Applying knowledge and understanding: to know how to apply methods of design different for environment where they operate, and for reducing energy consumption.
• Critical and judgmental skills: critical capabilities of electronic design and targeted selection of electronic devices. Capabilities acquired with laboratory tests involving the use of development tools (MathWorks, ...), software for simulation CAE (Genesys, ...) of HPA RF circuits, and measuring instruments (oscilloscopes, analyzers, ...).
• Communication skills: be able to describe the electronic circuit solutions adopted to solve problems of adverse operating conditions and of containing energy consumption.
• Learning skills: valid learning for insert in working contexts specialized in designing electronic systems operating in the Space, and for designing HPA final stages.

Educational objectives

• KNOWLEDGE AND UNDERSTANDING:
Formulation of the electromagnetic theory of propagation in open media (e.g., Earth's atmosphere) with emphasis on the main applications in information and communications engineering. Analysis of problems of diffraction, diffusion, geometric optics, tropospheric and ionospheric propagation, surface propagation, propagation in a complex environment and free space optics. Applications to the design of communication systems (terrestrial and/or satellite) and of remote sensing systems. Analysis of microwave radar systems and related meteorological applications (e.g., clouds and precipitation).
• APPLYING KNOWLEDGE AND UNDERSTANDING:
Ability to apply the acquired theoretical-experimental knowledge to problems of radio propagation and radar meteorology also in the context of the design of communication systems (terrestrial and/or satellite) and remote sensing systems.
• MAKING JUDGEMENTS:
Ability to critically and competently evaluate approaches and solutions to radio propagation and radar meteorology problems.
• COMMUNICATION SKILLS:
Ability to describe problems and solutions adopted to address and mitigate radio propagation effects in the design of communication systems (terrestrial and/or satellite), remote sensing systems and weather radar systems.
• LEARNING SKILLS:
Ability to broaden and deepen knowledges on advanced topics of electromagnetic radiopropagation and radar meteorology.

Educational objectives

INGLESE
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. 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: not applicable

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.

Educational objectives

GENERAL
The module aims to describe in depth the principles and related applications of remote sensing
techniques (both passive and active) operating in the microwave region of the electromagnetic
spectrum. It reviews the technical characteristics of passive (radiometers) and active (radar) sensors. It
illustrates the physical bases, and in particular, the electromagnetic models describing the emission,
absorption and scattering of the radiation by natural media (atmosphere, sea, land). It illustrates the
main applications and the methods to retrieve bio-geophysical parameters of the atmosphere, sea
surface and land (soil and vegetation) from microwave remote sensing data, including interferometry
and polarimetric methods.
SPECIFIC
 Knowledge and understanding: understand the interaction mechanisms between electromagnetic
waves and natural media and the sensor principles in order to interpret the remotely sensed data in
the microwave spectra.
 Applying knowledge and understanding: develop simulation models predicting the response of
microwave remote sensing sensors and retrieval algorithms to support the mission definition and
system design and fulfil the final application requirements. Develop algorithms to retrieve bio-

geophysical parameters of the atmosphere, ocean and land (bare soil and vegetation) by techniques
of inversion of forward electromagnetic models, interferometry and polarimetry.
 Critical and judgmental skills: understand the technical and scientific literature about microwave
remote sensing and develop the capability to select methods and techniques suitable to fulfil the
requirements of the system to be developed.
 Communication skills: interact with other students and the teachers when carrying out simple
exercises (data processing, quizzes) and presenting the results in order to check their
comprehension and train the problem-solving capability.
 Learning skills: understand the physical and mathematical bases of remote sensing to be able to
learn new applications different from the ones described during the course.

Educational objectives

KNOWLEDGE AND UNDERSTANDING
The student will acquire 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. This will be based on the 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.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
Solution of problems related to the design, implementation and testing of quantum computing architectures and quantum machine learning computational models 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. The main objective is to provide the student with the ability to understand and achieve 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 AUTONOMOUS JUDGEMENTS
Through a systematic laboratory activity, during which the methodologies related to the design and implementation of quantum computing architectures and quantum machine learning models such as quantum neural networks will be considered, the student will integrate the acquired knowledge 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.
COMMUNICATE SKILLS
Quantum technologies and quantum information processing algorithms are rapidly evolving, considering the actual scenario based on near-term devices and hybrid quantum-classical approaches. Following this course, the student will be able 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
The adopted teaching methodology requires an 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.

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
.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Students will acquire a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals, to the photovoltaics for solar energy conversion, for reduction of power consumption.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Students will acquire 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 AUTONOMOUS JUDGEMENTS.
Students will acquire the expertise to design and to evaluate performance of most optoelectronic devices for any optoelectronic system.
COMMUNICATE SKILLS.
Students will acquire the 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.
Students will acquire the 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.

Educational objectives

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.
• Critical and judgmental skills: 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.

Educational objectives

GENERAL
The module aims to describe in depth the principles and related applications of remote sensing
techniques (both passive and active) operating in the microwave region of the electromagnetic
spectrum. It reviews the technical characteristics of passive (radiometers) and active (radar) sensors. It
illustrates the physical bases, and in particular, the electromagnetic models describing the emission,
absorption and scattering of the radiation by natural media (atmosphere, sea, land). It illustrates the
main applications and the methods to retrieve bio-geophysical parameters of the atmosphere, sea
surface and land (soil and vegetation) from microwave remote sensing data, including interferometry
and polarimetric methods.
SPECIFIC
 Knowledge and understanding: understand the interaction mechanisms between electromagnetic
waves and natural media and the sensor principles in order to interpret the remotely sensed data in
the microwave spectra.
 Applying knowledge and understanding: develop simulation models predicting the response of
microwave remote sensing sensors and retrieval algorithms to support the mission definition and
system design and fulfil the final application requirements. Develop algorithms to retrieve bio-

geophysical parameters of the atmosphere, ocean and land (bare soil and vegetation) by techniques
of inversion of forward electromagnetic models, interferometry and polarimetry.
 Critical and judgmental skills: understand the technical and scientific literature about microwave
remote sensing and develop the capability to select methods and techniques suitable to fulfil the
requirements of the system to be developed.
 Communication skills: interact with other students and the teachers when carrying out simple
exercises (data processing, quizzes) and presenting the results in order to check their
comprehension and train the problem-solving capability.
 Learning skills: understand the physical and mathematical bases of remote sensing to be able to
learn new applications different from the ones described during the course.

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

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING
Upon completion of the course, the student will know the principles of special relativity, with particular reference to the link with classical mechanics, electromagnetism, the transformations of fields between inertial reference systems, the principles on which modern particle accelerators are based, the relativistic motion of charges in electric and magnetic fields and the functioning of linear accelerators, cyclotrons and synchrotrons
APPLICATION CAPABILITIES:
The student will be able to schematically design some devices used in accelerators, such as quadrupoles, and discuss the motion of the charges in these devices.
AUTONOMY OF JUDGMENT
The student will be able to determine the operating principles of a circular accelerator thanks to the acquired concepts of betatron and synchrotron motion and to independently use the simulation code ASTRA (A Space Charge Tracking Algorithm).
COMMUNICATION SKILLS
The student will be able to deal with topics related to particle accelerators using terms and concepts typical of this sector

Educational objectives

INGLESE
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. 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: not applicable

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.

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.

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.

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.

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.

Educational objectives

Enabling the student to perform basic numerical finite elements
simulations of electronic devices with literature models; Enabling the
student to perform basic experimental characterization of nanoelectronic
devices on wafers

Educational objectives

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).
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: Design capability for the functional blocks of an integrated RF receiver in CMOS technology.
MAKING AUTONOMOUS JUDGEMENTS: Capability of carrying out autonomously the design of RF functional blocks under the constraints of monolithic integration.
COMMUNICATE 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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The course covers the fundamental techniques of systematic design of electronic circuits. The core of the course is the theory of the synthesis of linear active lumped circuits (both in analog and digital domain). Several technologies for the implementation of transfer functions (filters) and for impedance synthesis and transformation by means of active circuits are studied. Starting from the classical technologies based on operational amplifiers the course will focus on the most modern methods for project-oriented implementation of active circuits on CMOS integrated circuits. The last part of the course is dedicated to the implementation of digital IIR and FIR filters.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Capability to handle the design flow of analog and digital electronic circuits starting from specifications up to implementation on integrated circuit form or FPGA platforms.
Making autonomous judgements. Students who have passed the examination will be able to conduct all the phases of the design of analog active filters. Starting from the specifications of the filter they will be able to identify the most appropriate implementation technology for the target application, to partition the circuit into sub-modules, and to proceed to the dimensioning of the different modules up to the implementation of the complete circuit with MOS transistors. Students will also be able to use software tools such as MATLAB and SPICE to carry out the different design steps.
COMMUNICATE SKILLS. The possibility to carry out a project in a team of two or three students improves communication and management skills.
LEARNING SKILLS. The students will have to extract from the reference textbooks the concepts to carry out a specific project.

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

Educational objectives

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.
• Ability to apply 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).
• Critical and judgmental skills: Ability to choose the microcontroller solutions and architectures best suited to the project context, distinguishing the performance/characteristics of different CPUs and external units present in the architecture.
• 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.
• Ability to continue the study independently throughout life: ability to continue subsequent studies considering more advanced hardware/software architectures, for example multicore systems or microkernel-based systems.

Educational objectives

General
The course will give to the students a detailed overview on the micro-fabrication technologies, a
detailed overview on the working principle and application of the microelectromechanical systems
(MEMS) on silicon. At the end of the course the student will acquire the knowledge in the MEMS process
technology and the problems to be solved to package and assembly MEMS devices. Furthermore, the
course will allow students to be able to interact with a MEMS foundry so to be able to follow-up a full
MEMS project.
Specific
 Introduction: definition of a transducer and sensor, sensor classification, signal conversion, ideal
characteristics of a sensor. Scaling rules.
 Material properties: physical laws, mechanical, thermal, electrical, magnetic, optical and
chemical definitions and characteristics of materials.

 Fabrication technologies and modelling: principle of microelectronics fabrications steps. Bulk
micromachining, surface micromachining, Design rules for MEMS surface micromachining,
Principle of CAD, CAE and CAM simulators.
 MEMS in silicon: mechanical properties of silicon. Pressure sensors, flux sensors, inertial
sensors, biosensors and chemical sensors, radio frequency MEMS an micro-relays. Other sensors
(e.g. temperature, humidity, vibration, etc.).
 MEMS control: driving circuits and sensor measurements. Stability and noise.
 MEMS Interconnection, packaging and driving circuits: Interconnection techniques, MEMS
packaging and 3D packaging for NEMS and MEMS.

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.

Educational objectives

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
CAPABILITY TO APPLY 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 AUTONOMOUS 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
COMMUNICATE 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.

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.

Educational objectives

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
CAPABILITY TO APPLY 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 AUTONOMOUS JUDGEMENTS. Capability of carrying out autonomously the design of an electronic circuit or sub-system
COMMUNICATE 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

Educational objectives

KNOWLEDGE AND UNDERSTANDING. Knowledge and comprehension of methods and techniques related to the electromagnetic compatibility issues.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Capability to apply knowledge to solve compatibility problems in sensible electronic devices, circuits and systems.
MAKING AUTONOMOUS JUDGEMENTS. Capability to apply knowledge to develop analytical and numerical techniques to predict parasitic coupling, signal distortion and radiated emission.
COMMUNICATE SKILLS. To be able to interact with specialists and non specialist of technical issues concerning the compatibility problems in sensible electronic devices, circuits and systems.
LEARNING SKILLS. To be able to find professional and scientific literature useful to improve the knowledge in the field.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Students will acquire a consistent knowledge of characteristics and design techniques of fiber optics components and systems. Both class lectures and laboratory projects will be given.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Students will acquire capabilities to design WDM (Wavelength Division Multiplexing) wide band fiber optical links and interconnections at high bit rate (Tb/s) and to evaluate their performance.
MAKING AUTONOMOUS JUDGEMENTS.
Students will be able to recognize the structure and specifications of the main photonic devices to design and to realize an optical communication system. They will be able to layout the design of a system operating either at single or multiple wavelengths (WDM systems). They will be familiar with physical phenomena, which limit the performance of fiber optic communication systems.
COMMUNICATE SKILLS.
Students will acquire the 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.
Students will acquire the 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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. 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.
CAPABILITY TO APPLY 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 AUTONOMOUS 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.
COMMUNICATE 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.

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.

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.

Educational objectives

GENERAL
Module aims to introduce student to the knowledge of design techniques and technologies, regarding long-distance radio-link, in particular satellite communications. It examines the specific segments: Space, Control and User. Moreover, the consequences on the design of solid-state electronic devices operating in the space are analysed, in particular the effects of ionizing radiation. Furthermore, the module aims to know high efficiency power amplifiers (HPA).

SPECIFIC
• Knowledge and understanding: to know analytical methods for evaluating electronic components, and for selecting different and specific design methods in order to build equipment for the Space. Furthermore, to know analytical methods for final stages design of high efficiency.
• Applying knowledge and understanding: to know how to apply methods of design different for environment where they operate, and for reducing energy consumption.
• Critical and judgmental skills: critical capabilities of electronic design and targeted selection of electronic devices. Capabilities acquired with laboratory tests involving the use of development tools (MathWorks, ...), software for simulation CAE (Genesys, ...) of HPA RF circuits, and measuring instruments (oscilloscopes, analyzers, ...).
• Communication skills: be able to describe the electronic circuit solutions adopted to solve problems of adverse operating conditions and of containing energy consumption.
• Learning skills: valid learning for insert in working contexts specialized in designing electronic systems operating in the Space, and for designing HPA final stages.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The module deals with the basic principles of pattern recognition, classification and clustering on both metric and non-metric domains. Successful students will be able to read and understand texts and papers on advanced topics of Pattern Recognition.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful students who pass the final exam will be able to apply the methodological principles and algorithms studied during the course to design innovative Pattern Recognition systems, in multidisciplinary contexts.

MAKING AUTONOMOUS JUDGEMENTS. Successful students will be able to analyze the design requirements and to choose the classification system that best suits the case study.

COMMUNICATE SKILLS. Successful students will be able to compile a technical report and to realize an appropriate presentation concerning any design, development and performance measurement activity related to a Pattern Recognition system.

LEARNING SKILLS. Successful students will be able to further study by their own the topics dealt with in class, realizing the necessary continuous learning process that characterizes any ICT job.

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. Being able to use knowledge derived from previously studied courses and to understand new concepts that will enrich the cultural baggage of the student.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Being able to put into practice a methodology studied during the course in a new problem, albeit related to the examples developed during classroom exercises.
MAKING AUTONOMOUS JUDGEMENTS. Being able to recognize an applicative problem and to justify the choice of a specific methodology to solve it.
COMMUNICATE SKILLS. Being able to understand of the motivations for choosing a specific methodology, its methodological derivation and its implementation in a practical problem.
LEARNING SKILLS. Being able to independently study and implement machine learning solutions through the software tools learned during the course and being able to apply such solutions in problems that are new for the student.

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.

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.

Educational objectives

GENERAL
The module gives the basis on the operation and the features of integrated sensors in the More Than Moore paradigm. Through laboratory exercices, it develops the student ability to make sesnors electronic interfaces, collect and transmit data with proper techniques customized for the specific application chosen. The module also enriches students of managing and communication skills, necessary in company or research team jobs.
SPECIFIC
• Knowledge and understanding: Understanding the operation principles of integrated sensors, the manufacturing process, the main features in terms of sensitivity, linearity, noise, signal-to-noise ratio, power consumption, power supply, cost, invasiveness, availability on the market.
• Applying knowledge and understanding: Using practically methodologies of analysis and design in sensing technology, through experimentala ctivity in the laboratory
• Critical and judgmental skills: Understanding the specific needs to be faced from the sensor viewpoint, the best way to collect data in specific condition and environment, adjusting the electronic interface and data transmission techniques to the problem under study.
• Communication skills: The module uses the flipped strategy of teaching, which implies that each student (guided by the teacher, of course) manages, classifies, syntesizes the sources and the material, and finally make them available to the teacher and the class, as they were data-sheets. In the laboratory activity, students are divided into groups of three and each group develops a project proposed by the group itself. Each student learns how to propose and valorize her/his own ideas to the other two of the same group, discussing and mediating any choice, achieving shared solution regarding the sensing components and architectures. At the beginning, the group proposes a time scheduling of all the activities, which is updated every week and critically judged after each updating. This allows students to achieve consciousness and responsibility in programming their committments and in fixing the time to be devoted. All these skills are fundamental in team jobs both in research, in developments and in manufacturing companies. At the end, the group discusses the objectives of the project, le adopted solutions, the difficulties encountered in the implementation, advantages respect to state-of-art. The goup will use audiovisual media, films, images and concludes with an evaluation of costs versus benefits. Sometimes, the projects applied to national contests and two projects have received an award.
• Learning skills: Each student learns how to propose and valorize her/his own ideas to collegues and superiors, discussing and mediating any choice, achieving shared solutions. The time scheduling of all the activities is updated every week and critically judged after each updating. This allows students to achieve consciousness and responsibility in programming their committments and in fixing the time to be devoted. All these skills are fundamental in team jobs both in research, in developments and in manufacturing companies.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
COMMUNICATE SKILLS.
LEARNING SKILLS

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.

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.

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).

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.

Educational objectives

The module aims to provide a general background on the remote sensing systems for Earth Observation from airborne, and especially space-borne platforms. It describes, using a system approach, the characteristics of the system to be specified to fulfil the final user requirements in different application domains. It reviews the physical bases of remote sensing and simple wave interaction models useful for data interpretation. It describes or simply recalls the technical principles of the main sensors operating in different ranges of the electromagnetic spectrum. It provides an overview of the most important applications and bio-geophysical parameters (of the atmosphere, the ocean and the land) which can be retrieved in different regions of the electromagnetic spectrum. It reviews the most important techniques for data processing and product generation, also by proposing practical exercises using the computer. Finally, it provides an overview of the main Earth Observation satellite missions and the products they provide to the final user.

Educational objectives

GENERAL
The course is aimed to give the theoretical methodologies and the practical knowledge related to the components and circuits used for the electromagnetic signal processing in telecommunication and remote sensing systems. The acquired capabilities will be focused on the features of high-frequency devices with attention to the guided-wave propagation and to the generation, processing, and detection of the signals in microwave and optical systems. The course will be completed with the study of computer-aided design procedures, of the instruments and of measurement techniques of high-frequency devices and circuits.

SPECIFIC
• Knowledge and understanding: to know and understand the methodological aspects of the analysis and characterization of the circuits, components, and devices used at high frequencies; to know the instruments for the measurement and the software for numerical simulation of the devices used at high frequencies.
• Applying knowledge and understanding: to apply the techniques for analysis and design of microwave and optical circuits; to apply the procedures to experimentally measure the characteristics of microwave and optical devices.
• Making judgements: to be able to gather additional information to pursue a higher awareness on the circuits and devices used at high frequencies in the context of ICT.
• Communication skills: to be able to deal with the characteristics of high frequency circuits.
• Learning skills: to be able to continue the learning path for a continuous update of the knowledge on high-frequency devices and circuits; to be able to study in depth the properties related to the various applications of the electromagnetic fields.

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.

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.

Educational objectives

• KNOWLEDGE AND UNDERSTANDING:
Formulation of the electromagnetic theory of propagation in open media (e.g., Earth's atmosphere) with emphasis on the main applications in information and communications engineering. Analysis of problems of diffraction, diffusion, geometric optics, tropospheric and ionospheric propagation, surface propagation, propagation in a complex environment and free space optics. Applications to the design of communication systems (terrestrial and/or satellite) and of remote sensing systems. Analysis of microwave radar systems and related meteorological applications (e.g., clouds and precipitation).
• APPLYING KNOWLEDGE AND UNDERSTANDING:
Ability to apply the acquired theoretical-experimental knowledge to problems of radio propagation and radar meteorology also in the context of the design of communication systems (terrestrial and/or satellite) and remote sensing systems.
• MAKING JUDGEMENTS:
Ability to critically and competently evaluate approaches and solutions to radio propagation and radar meteorology problems.
• COMMUNICATION SKILLS:
Ability to describe problems and solutions adopted to address and mitigate radio propagation effects in the design of communication systems (terrestrial and/or satellite), remote sensing systems and weather radar systems.
• LEARNING SKILLS:
Ability to broaden and deepen knowledges on advanced topics of electromagnetic radiopropagation and radar meteorology.

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING
The student will acquire 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. This will be based on the 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.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
Solution of problems related to the design, implementation and testing of quantum computing architectures and quantum machine learning computational models 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. The main objective is to provide the student with the ability to understand and achieve 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 AUTONOMOUS JUDGEMENTS
Through a systematic laboratory activity, during which the methodologies related to the design and implementation of quantum computing architectures and quantum machine learning models such as quantum neural networks will be considered, the student will integrate the acquired knowledge 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.
COMMUNICATE SKILLS
Quantum technologies and quantum information processing algorithms are rapidly evolving, considering the actual scenario based on near-term devices and hybrid quantum-classical approaches. Following this course, the student will be able 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
The adopted teaching methodology requires an 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.

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.

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.

Educational objectives

The course aims to provide the student with the ability to use
mathematical methods, not included in the previous courses, needed to
study physical phenomena and the ability to interpret the obtained analytical results.
The course provides the Electronic Engineering student with the basic notions
concerning partial differential equations in mathematical physics.
After a brief overview on partial differential equations which
model physical phenomena, first order and higher order p.d.es,
linear and nonlinear equations, some resolution methods are given. Specifically,
initial boundary value problems are studied and the physical interpretation of the
obtained results is discussed.

Moreover, in the case of differential equations (both o.d.es and p.d.es)
non-linear problems in which "small" parameters appear, are considered
on introduction of "perturbative methods". Applications and examples are
provided.
Finally, the student is encouraged and guided to develop personally applicative examples
he is interested in, on application of methods studied in the course.

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Students will acquire a consistent knowledge of phenomena, materials, devices and optoelectronic techniques related to the generation, detection and processing of optical signals, to the photovoltaics for solar energy conversion, for reduction of power consumption.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Students will acquire 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 AUTONOMOUS JUDGEMENTS.
Students will acquire the expertise to design and to evaluate performance of most optoelectronic devices for any optoelectronic system.
COMMUNICATE SKILLS.
Students will acquire the 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.
Students will acquire the 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.

Educational objectives

Enabling the student to perform basic numerical finite elements
simulations of electronic devices with literature models; Enabling the
student to perform basic experimental characterization of nanoelectronic
devices on wafers

Educational objectives

The module aims to provide a general background on the remote sensing systems for Earth Observation from airborne, and especially space-borne platforms. It describes, using a system approach, the characteristics of the system to be specified to fulfil the final user requirements in different application domains. It reviews the physical bases of remote sensing and simple wave interaction models useful for data interpretation. It describes or simply recalls the technical principles of the main sensors operating in different ranges of the electromagnetic spectrum. It provides an overview of the most important applications and bio-geophysical parameters (of the atmosphere, the ocean and the land) which can be retrieved in different regions of the electromagnetic spectrum. It reviews the most important techniques for data processing and product generation, also by proposing practical exercises using the computer. Finally, it provides an overview of the main Earth Observation satellite missions and the products they provide to the final user.

Educational objectives

GENERAL
The course is aimed to give the theoretical methodologies and the practical knowledge related to the components and circuits used for the electromagnetic signal processing in telecommunication and remote sensing systems. The acquired capabilities will be focused on the features of high-frequency devices with attention to the guided-wave propagation and to the generation, processing, and detection of the signals in microwave and optical systems. The course will be completed with the study of computer-aided design procedures, of the instruments and of measurement techniques of high-frequency devices and circuits.

SPECIFIC
• Knowledge and understanding: to know and understand the methodological aspects of the analysis and characterization of the circuits, components, and devices used at high frequencies; to know the instruments for the measurement and the software for numerical simulation of the devices used at high frequencies.
• Applying knowledge and understanding: to apply the techniques for analysis and design of microwave and optical circuits; to apply the procedures to experimentally measure the characteristics of microwave and optical devices.
• Making judgements: to be able to gather additional information to pursue a higher awareness on the circuits and devices used at high frequencies in the context of ICT.
• Communication skills: to be able to deal with the characteristics of high frequency circuits.
• Learning skills: to be able to continue the learning path for a continuous update of the knowledge on high-frequency devices and circuits; to be able to study in depth the properties related to the various applications of the electromagnetic fields.

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. Being able to use knowledge derived from previously studied courses and to understand new concepts that will enrich the cultural baggage of the student.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Being able to put into practice a methodology studied during the course in a new problem, albeit related to the examples developed during classroom exercises.
MAKING AUTONOMOUS JUDGEMENTS. Being able to recognize an applicative problem and to justify the choice of a specific methodology to solve it.
COMMUNICATE SKILLS. Being able to understand of the motivations for choosing a specific methodology, its methodological derivation and its implementation in a practical problem.
LEARNING SKILLS. Being able to independently study and implement machine learning solutions through the software tools learned during the course and being able to apply such solutions in problems that are new for the student.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Students will acquire a consistent knowledge of characteristics and design techniques of fiber optics components and systems. Both class lectures and laboratory projects will be given.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Students will acquire capabilities to design WDM (Wavelength Division Multiplexing) wide band fiber optical links and interconnections at high bit rate (Tb/s) and to evaluate their performance.
MAKING AUTONOMOUS JUDGEMENTS.
Students will be able to recognize the structure and specifications of the main photonic devices to design and to realize an optical communication system. They will be able to layout the design of a system operating either at single or multiple wavelengths (WDM systems). They will be familiar with physical phenomena, which limit the performance of fiber optic communication systems.
COMMUNICATE SKILLS.
Students will acquire the 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.
Students will acquire the 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.

Educational objectives

Obiettivi generali: to acquire knowledge on the fundamental topics of Mathematical Physics and on the corresponding mathematical methods.
Obiettivi specifici:
Knowledge and understanding:
At the end of the course the student will master the basic elements of dynamical systems theory, the mathematical structure of Hamiltonian formalism and perturbation theory, the basic methods for the study of some aspects of Modern Physics (Statistical Mechanics or Quantum Mechanics) from the point of view of Mathematical Physics.
Applying knowledge and understanding:
Students who have passed the exam will be able to: i) study the stability of equilibrium points; ii) use the Hamilton-Jacobi method for the determination of first integrals; iii) introduce action-angle variables for an integrable Hamiltonian system; iv) apply perturbation theory to specific physical problems obtaining qualitative and quantitative information on the motion; v) approach a rigorous analysis of some problems of Statistical Mechanics or Quantum Mechanics.
Making judgments :
Students who have passed the exam will be able to understand a mathematical-physics approach to problems and to analyze similarities and differences with respect to the typical approach of Theoretical Physics.

Educational objectives

Knowledge and understanding. Formulation of the electromagnetic propagation theory in open media (e.g., terrestrial atmosphere) with emphasis on the main applications in information engineering. Analysis of diffraction, diffusion, geometric optics, tropospheric and ionospheric propagation, surface propagation, propagation in a complex and optical environment of free space. Analysis of microwave radar systems and related meteorological applications (e.g., clouds and precipitation).

Capability to apply knowledge and understanding. Ability to apply the theoretical-experimental knowledge acquired to problems of electromagnetic radiopropagation and radar meteorology.

Making autonomous judgements. Ability to critically and competently evaluate approaches and solutions to problems of electromagnetic radiopropagation and radar meteorology.

Communicate skills. Ability to describe problems and solutions adopted to tackle issues of electromagnetic radiopropagation and radar meteorology.

Learning skills. Ability to broaden and deepen their knowledge on advanced topics of electromagnetic radiopropagation and radar meteorology.

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.

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).

Educational objectives

General
The course will give to the students a detailed overview on the micro-fabrication technologies, a
detailed overview on the working principle and application of the microelectromechanical systems
(MEMS) on silicon. At the end of the course the student will acquire the knowledge in the MEMS process
technology and the problems to be solved to package and assembly MEMS devices. Furthermore, the
course will allow students to be able to interact with a MEMS foundry so to be able to follow-up a full
MEMS project.
Specific
 Introduction: definition of a transducer and sensor, sensor classification, signal conversion, ideal
characteristics of a sensor. Scaling rules.
 Material properties: physical laws, mechanical, thermal, electrical, magnetic, optical and
chemical definitions and characteristics of materials.

 Fabrication technologies and modelling: principle of microelectronics fabrications steps. Bulk
micromachining, surface micromachining, Design rules for MEMS surface micromachining,
Principle of CAD, CAE and CAM simulators.
 MEMS in silicon: mechanical properties of silicon. Pressure sensors, flux sensors, inertial
sensors, biosensors and chemical sensors, radio frequency MEMS an micro-relays. Other sensors
(e.g. temperature, humidity, vibration, etc.).
 MEMS control: driving circuits and sensor measurements. Stability and noise.
 MEMS Interconnection, packaging and driving circuits: Interconnection techniques, MEMS
packaging and 3D packaging for NEMS and MEMS.

Educational objectives

INGLESE
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. 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: not applicable

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
COMMUNICATE SKILLS.
LEARNING SKILLS

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING
Upon completion of the course, the student will know the principles of special relativity, with particular reference to the link with classical mechanics, electromagnetism, the transformations of fields between inertial reference systems, the principles on which modern particle accelerators are based, the relativistic motion of charges in electric and magnetic fields and the functioning of linear accelerators, cyclotrons and synchrotrons
APPLICATION CAPABILITIES:
The student will be able to schematically design some devices used in accelerators, such as quadrupoles, and discuss the motion of the charges in these devices.
AUTONOMY OF JUDGMENT
The student will be able to determine the operating principles of a circular accelerator thanks to the acquired concepts of betatron and synchrotron motion and to independently use the simulation code ASTRA (A Space Charge Tracking Algorithm).
COMMUNICATION SKILLS
The student will be able to deal with topics related to particle accelerators using terms and concepts typical of this sector

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. 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.
CAPABILITY TO APPLY 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 AUTONOMOUS 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.
COMMUNICATE 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.

Educational objectives

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.
• Ability to apply 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).
• Critical and judgmental skills: Ability to choose the microcontroller solutions and architectures best suited to the project context, distinguishing the performance/characteristics of different CPUs and external units present in the architecture.
• 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.
• Ability to continue the study independently throughout life: ability to continue subsequent studies considering more advanced hardware/software architectures, for example multicore systems or microkernel-based systems.

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.

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.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The module deals with the basic principles of pattern recognition, classification and clustering on both metric and non-metric domains. Successful students will be able to read and understand texts and papers on advanced topics of Pattern Recognition.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Successful students who pass the final exam will be able to apply the methodological principles and algorithms studied during the course to design innovative Pattern Recognition systems, in multidisciplinary contexts.

MAKING AUTONOMOUS JUDGEMENTS. Successful students will be able to analyze the design requirements and to choose the classification system that best suits the case study.

COMMUNICATE SKILLS. Successful students will be able to compile a technical report and to realize an appropriate presentation concerning any design, development and performance measurement activity related to a Pattern Recognition system.

LEARNING SKILLS. Successful students will be able to further study by their own the topics dealt with in class, realizing the necessary continuous learning process that characterizes any ICT job.

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.

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.