Telecommunication Engineering

Educational objectives

GENERAL
To give the fundamental concepts and tools of differential and integral calculus for functions from R to R and of numerical series; to give some basic concepts and tools of differential equations; to give an intuition, by means of examples and practical applications, of the use of Mathematical Analysis in the quantitative description of a phenomenon. Expected learning outcomes: to read, understand and handle (e.g., represent graphically, approximate, rescale, calculate exactly) the mathematical objects introduced during the course (such as sequences, numerical series, functions, integrals, gradients, differential equations). To know and understand their main properties.

SPECIFIC
• Knowledge and understanding: to know basic concepts and fundamental tools of the mathematical analysis and to be able to comprehend the reading of specific books.
• Applying knowledge and understanding: to be able to use the acquired knowledge and understanding in solving simple problems of mathematical analysis with competence.
• Making judgements: to single out the common features in different problems in order to develop autonomy in the study.
• Communication skills: to relate about assumptions, problems and solutions peculiar of Mathematical Analysis I to wide audiences.
• Learning skills: to acquire the competence that is necessary for the future courses, in particular for Mathematical Analysis II.

Educational objectives

GENERAL
The main objective of the course is to introduce students to the basic concepts of linear algebra (matrices, determinants, systems of linear equations, vector spaces, linear transformations) and analytic geometry in two and three dimensions (lines, planes, an overview of curves and surfaces, conic sections and quadrics). Students are expected to develop a mindset that enables them to analytically formulate simple problems and to interpret algebraic results.

SPECIFIC
• Knowledge and understanding: by the end of the course, students will know the basic concepts, methods, problems, and possible applications of analytic geometry and linear algebra.
• Applying knowledge and understanding: they will be able to use the acquired knowledge to tackle and solve simple problems in analytic geometry and linear algebra.
• Making judgements: through written exercises and possible oral presentations, students will develop adequate critical thinking skills.
• Communication skills: likewise, they will practice their ability to explain and convey what they have learned.
• Learning skills: individual study will appropriately foster their ability to study independently and autonomously.

Educational objectives

GENERAL
The course aims to consolidate and further develop students' language skills, enabling them to use English independently and confidently in both academic and professional contexts. It is designed to strengthen oral and written comprehension and production, with particular focus on fluency, grammatical accuracy, and vocabulary expansion.
Through practical activities, simulations, readings, and authentic listening materials, students will be guided to interact more confidently in English, understanding complex texts and producing well-structured discourse. The course encourages the use of the language as a tool to access knowledge across the various disciplinary fields of information engineering.

SPECIFIC
• Knowledge and understanding: The student is familiar with complex grammatical structures and specialized vocabulary suitable for academic and professional contexts.
• Applying knowledge and understanding: The student is able to understand complex written and spoken texts and to produce coherent communication in English.
• Making judgements: The student can critically assess linguistic and communicative content and select appropriate interaction strategies.
• Communication skills: The student communicates clearly, effectively, and with appropriate register in both formal and informal situations.
• Learning skills: The student is able to manage their own language learning process independently, making use of digital tools and resources.

Educational objectives

GENERAL
The course in General Physics I aims to provide students with a solid foundation in the fundamental principles of classical mechanics, introducing the concepts of force, motion, energy, momentum, as well as concepts related to fluids and thermodynamics. Particular attention is given to the development of a rigorous scientific method based on observation, modeling, and experimental validation. For this reason, the course includes a component of experimental laboratory work.
The course also aims to develop students’ ability to analyze and solve physical problems through mathematical models, facilitating the connection between observable phenomena and fundamental physical laws. This course serves as an essential foundation for further studies in science and engineering.

SPECIFIC
• Knowledge and understanding: Understand the fundamental principles of classical Mechanics and Thermodynamics.
• Applying knowledge and understanding: Solve physical problems using appropriate mathematical tools.
• Making judgements: Critically assess the results and the validity of adopted physical models.
• Communication skills: Clearly and coherently express concepts and solutions in the field of physics.
• Learning skills: Develop an independent study method for further scientific topics.

Educational objectives

GENERAL
The course aims to provide students with an in-depth understanding of the structure and operating principles of computing systems, with particular reference to Intel-based 32- and 64-bit architectures. The curriculum combines theoretical and practical aspects related to data representation, numerical computation, hardware architectural choices, and C programming. In particular, the course is designed to develop students' ability to design algorithms for standard problem classes, to interpret existing programs written in C, and to write correct C code starting from predefined functional specifications. The course intends to equip students with critical and operational skills for hardware system design and evaluation and for low-level software development, establishing a solid foundation for advanced studies in computer architecture.

SPECIFIC
• Knowledge and understanding: understand the operating principles of computing systems, particularly Intel-based 32- and 64-bit architectures; know the fundamentals of structured programming in C and algorithm development principles.
• Applying knowledge and understanding: compute and analyze errors arising from floating-point representation; design algorithms to solve standard classes of problems; interpret the behavior of programs written in C; develop C programs according to detailed functional specifications.
• Making judgements: critically analyze hardware architectural choices and software solutions with respect to specific project requirements in computing systems.
• Communication skills: clearly, logically, and coherently explain and justify hardware and software design choices.
• Learning skills: to autonomously develop competencies for the study of advanced topics in computer architecture and programming.

Educational objectives

GENERAL
The course in Business Economics and Organization aims to provide students with knowledge of the economic principles underlying the design, the management dynamics, the behaviour and the financial results of companies. These principles as a whole constitute an indispensable requirement for operating well within economic organizations, since they allow students to understand the role and impact of strategic, managerial and operational decisions - and the resulting actions - on the conditions of effectiveness and efficiency that characterize the degree of vitality of the organizations themselves.
Focusing on Organizational issues, moreover, will provide students to understand the importance of the choices of designing the company structure, of the coordination and integration mechanisms to achieving the company's objectives, allowing students to grasp the meaning of collaboration and the behaviors necessary for the construction of organizational contexts aimed at cooperation, in the perspectives of continuous improvement, innovation processes and the satisfaction of the people operating within such contexts.

SPECIFIC
• Knowledge and understanding: Understanding of the fundamental principles of economic, financial and organizational features that characterize the dynamics, the evolution and the competitive advantage of business firms.
• Applying knowledge and understanding: Development, through exercises and case studies, of the ability to apply the knowledge acquired relating to the proper design and the main management techniques of business organizations.
• Making judgements: development, through exercises and case studies, of the skills aimed at critically evaluating the impact of business decisions and operations on the economic and financial results of companies.
• Communication skills: Acquisition of technical terms inherent to the economic and financial language of companies that allows students to proper develop communication skills and effective interactions within economic organizations.
• Learning skills: Ability to independently identify, also through guidance support and stimuli, further in-depth paths relating to the economy, planning and management of companies.

Educational objectives

GENERAL
To provide the fundamental tools for engineering related to functions of several real variables (differential calculus, optimization, and integral calculus), power series and Fourier series, and complex analysis.

SPECIFIC
• Knowledge and understanding: Knowledge of the basic and advanced concepts of Mathematical Analysis and the ability to apply the acquired knowledge.
• Applying knowledge and understanding: Ability to solve exercises and concrete problems.
• Making judgements: Ability to independently and autonomously solve assignments of appropriate difficulty, containing both theoretical questions and practical exercises and problems..
• Communication skills: Acquisition of the advanced language and formalism of mathematical analysis, necessary for effective communication in technical-scientific and, in particular, engineering contexts..
• Learning skills: Strengthen learning by presenting theorems, proofs, examples, counterexamples, and applications in a rigorous manner. Appropriately selected exercises will facilitate learning.

Educational objectives

GENERAL
The course provides a foundation in the basic principles of electromagnetism, with particular attention to the concept of field and Maxwell's equations. The aim is to develop an understanding of electric, magnetic, wave and optical phenomena, allowing students to acquire both theoretical knowledge and practical skills applicable to different areas of physics.
The course also includes a laboratory activity aimed at applying the studied concepts practically. Students will become familiar with measurement instruments and experimental techniques, improving their ability to analyze and interpret data. Furthermore, through the study and resolution of electromagnetic problems, the development of a critical and methodological approach to physics will be promoted.

SPECIFIC
• Knowledge and understanding: The student will acquire the analytical methods to solve basic problems of electrostatics, magnetostatics and direct current circuits, as well as the fundamental principles of electromagnetic induction and the propagation of electromagnetic waves.
• Applying knowledge and understanding: The student will be able to model simple phenomena related to electric and magnetic fields and carry out laboratory experiments on stationary and quasi-stationary currents and geometric optics, using measurement instruments and statistical analysis methods.
• Making judgements: The student will develop the ability to connect the different electric and magnetic phenomena covered in the course and to critically analyze them through laboratory reports and discussions during the exam.
• Communication skills: The student will be able to describe electromagnetic phenomena using appropriate technical language and to illustrate Maxwell's equations in a clear and understandable way.
• Learning skills: The student will acquire the skills necessary to independently study advanced topics in electromagnetism, consolidating the analysis and modeling methodologies learned during the course.

Educational objectives

GENERAL
The course aims to provide students with the fundamental skills to understand and analyze both continuous-time and discrete-time signals, as well as the systems that process them. The concept of signals is introduced along with their properties, their representation using Fourier series and transforms, and their processing through linear time-invariant systems and some examples of nonlinear systems.
Another objective is to develop the ability to handle sampled signals, understanding the sampling theorem and the principles of digital filtering. Finally, the course covers bandpass signal representation techniques, with particular reference to the modulation of sinusoidal or pulsed carriers. The course provides theoretical and practical foundations for applications in telecommunications and remote sensing.

SPECIFIC
• Knowledge and understanding: By the end of the course, students will have learned how to mathematically model the transmission of information through signals and how to extract useful information from both continuous-time and discrete-time signals.
• Applying knowledge and understanding: Students will learn the fundamentals of applying signal theory and processing in the fields of telecommunications and remote sensing systems.
• Making judgements: Throughout the course, students are continuously encouraged to critically reflect on how to transmit information through signals. Alternative textbooks are suggested to foster critical thinking.
• Communication skills: Communication skills are taught through lectures and by reviewing written texts produced by students during exams.
• Learning skills: Students are taught to become autonomous in their studies through continuous references to topics covered in previous courses and related professional activities.

Educational objectives

GENERAL
The course aims to provide students with the fundamental skills to understand and analyze both continuous-time and discrete-time signals, as well as the systems that process them. The concept of signals is introduced along with their properties, their representation using Fourier series and transforms, and their processing through linear time-invariant systems and some examples of nonlinear systems.
Another objective is to develop the ability to handle sampled signals, understanding the sampling theorem and the principles of digital filtering. Finally, the course covers bandpass signal representation techniques, with particular reference to the modulation of sinusoidal or pulsed carriers. The course provides theoretical and practical foundations for applications in telecommunications and remote sensing.

SPECIFIC
• Knowledge and understanding: By the end of the course, students will have learned how to mathematically model the transmission of information through signals and how to extract useful information from both continuous-time and discrete-time signals.
• Applying knowledge and understanding: Students will learn the fundamentals of applying signal theory and processing in the fields of telecommunications and remote sensing systems.
• Making judgements: Throughout the course, students are continuously encouraged to critically reflect on how to transmit information through signals. Alternative textbooks are suggested to foster critical thinking.
• Communication skills: Communication skills are taught through lectures and by reviewing written texts produced by students during exams.
• Learning skills: Students are taught to become autonomous in their studies through continuous references to topics covered in previous courses and related professional activities.

Educational objectives

GENERAL
The course aims to provide students with the fundamental skills to understand and analyze both continuous-time and discrete-time signals, as well as the systems that process them. The concept of signals is introduced along with their properties, their representation using Fourier series and transforms, and their processing through linear time-invariant systems and some examples of nonlinear systems.
Another objective is to develop the ability to handle sampled signals, understanding the sampling theorem and the principles of digital filtering. Finally, the course covers bandpass signal representation techniques, with particular reference to the modulation of sinusoidal or pulsed carriers. The course provides theoretical and practical foundations for applications in telecommunications and remote sensing.

SPECIFIC
• Knowledge and understanding: By the end of the course, students will have learned how to mathematically model the transmission of information through signals and how to extract useful information from both continuous-time and discrete-time signals.
• Applying knowledge and understanding: Students will learn the fundamentals of applying signal theory and processing in the fields of telecommunications and remote sensing systems.
• Making judgements: Throughout the course, students are continuously encouraged to critically reflect on how to transmit information through signals. Alternative textbooks are suggested to foster critical thinking.
• Communication skills: Communication skills are taught through lectures and by reviewing written texts produced by students during exams.
• Learning skills: Students are taught to become autonomous in their studies through continuous references to topics covered in previous courses and related professional activities.

Educational objectives

GENERAL
The course aims to provide a comprehensive overview of the MATLAB language, covering its fundamentals, core constructs, and commands for vector and matrix manipulation, graph creation, and symbolic computation. Special attention will be given to the use of the most relevant toolboxes for telecommunications engineering. The course will delve into key topics related to digital signal processing, including the Fourier transform, statistical signal analysis, multimedia signal processing (audio and images), filter design, and other specific applications.

SPECIFIC
• Knowledge and understanding: gain familiarity with the problems, methodologies, and applications of programming in MATLAB, with a particular focus on signal processing.
• Applying knowledge and understanding: be able to independently develop simple simulation programs using MATLAB.
• Making judgements: develop critical thinking skills through hands-on exercises focused on the implementation of specific simulation algorithms.
• Communication skills: develop the ability to clearly and critically present the concepts learned during the course.
• Learning skills: enhance the capacity for independent and self-directed learning through in-depth individual study of the course topics.

Educational objectives

GENERAL
Knowing and understanding Maxwell equations, the fundamental electromagnetic laws and theorems, the form of the constitutive relations for the main classes of material media, plane waves in free space and their interaction with planar structures, transmission-line theory, fundamentals of guided-wave propagation and radiation. Interpretation, understanding, and visualization of the studied electromagnetic phenomena through numerical simulations
Being able to solve numerical exercises on the above topics.

SPECIFIC
• Knowledge and understanding: To know and understand the basic principles of electromagnetism and the methodological aspects involved in the study and characterization of propagation, radiation, and the interaction of electromagnetic waves with matter.
• Applying knowledge and understanding: Application of electromagnetic theory for the analysis of high-frequency devices and systems (microwaves, millimeter waves). Understanding the impact of the approximations considered in the analytical developments.
• Making judgements: Critical interpretation of fundamental phenomena in various application contexts (free-space and guided propagation, wave-medium interaction).
• Communication skills: Description of observed physical phenomena, also through simple numerical simulations.
• Learning skills: Ability to independently advance in the understanding of progressively more complex phenomena and to recognize the impact of the simplifications and/or approximations considered.

Educational objectives

GENERAL
The course aims to provide students with foundational knowledge and skills for the analysis and representation of linear electrical circuits, which are essential for the design and understanding of systems for information acquisition, processing, and transmission. The course is aligned with the broader educational goal of developing a solid grounding in the basic sciences, particularly in the mathematical modeling of systems in information and communication engineering.
Analytical and methodological tools introduced (phasors, Laplace transform, network functions, state-space models) enable students to understand the dynamic behavior of components and subsystems used in modern ICT devices, supporting the integration of theory and practice. The course contributes to developing a systems-level approach to technical problem-solving, the ability to communicate technical results effectively, and autonomous learning skills suited to a rapidly evolving technological landscape.

SPECIFIC
• Knowledge and understanding: Acquisition of fundamental knowledge of circuit theory for the modeling and analysis of electrical systems, supporting the understanding of devices and infrastructures in modern ICT scenarios.
• Applying knowledge and understanding: Ability to apply mathematical and computational tools for analyzing and solving linear electrical circuits in applications related to signal transmission and processing.
• Making judgements: Ability to select appropriate solution methods and critically evaluate the behavior of circuits based on operational context and conditions.
• Communication skills: Ability to clearly and rigorously describe circuit concepts, models, and results, also in interdisciplinary settings and to non-specialist audiences.
• Learning skills: Development of autonomous learning capabilities and the ability to independently explore technical-scientific content relevant to advanced topics in information engineering.

Educational objectives

GENERAL
The course aims to provide students with a solid foundation in probability theory, random variables, and stochastic processes, with a focus on applications in information and communication engineering. Core concepts include probability, distributions, univariate and multivariate random variables, and variable transformations.
A special emphasis is placed on random signals and their processing through linear time-invariant systems. Students will learn how to model uncertain phenomena, analyze noise-affected signals, and use tools such as power spectral density and matched filters. The course offers essential theoretical and practical knowledge for analyzing communication systemsì and remote sensing.

SPECIFIC
• Knowledge and understanding: By the end of the course, the student will have learned how to use probability theory to model random phenomena, with particular emphasis on the representation and processing of random signals.
• Applying knowledge and understanding: The student will learn the fundamentals of applying random signal theory and processing in the context of telecommunications and remote sensing systems.
• Making judgements: During the course, students are continuously encouraged to critically reflect on the methods of transmitting information through signals. Alternative textbooks are suggested to foster the development of critical thinking.
• Communication skills: Communication skills are taught through lectures and the evaluation of written texts produced by students during examinations.
• Learning skills: Students are taught to work independently in their studies, with frequent references to topics covered in previous courses and to related professional activities.

Educational objectives

GENERAL
The course aims to provide students with a solid foundation in probability theory, random variables, and stochastic processes, with a focus on applications in information and communication engineering. Core concepts include probability, distributions, univariate and multivariate random variables, and variable transformations.
A special emphasis is placed on random signals and their processing through linear time-invariant systems. Students will learn how to model uncertain phenomena, analyze noise-affected signals, and use tools such as power spectral density and matched filters. The course offers essential theoretical and practical knowledge for analyzing communication systemsì and remote sensing.

SPECIFIC
• Knowledge and understanding: By the end of the course, the student will have learned how to use probability theory to model random phenomena, with particular emphasis on the representation and processing of random signals.
• Applying knowledge and understanding: The student will learn the fundamentals of applying random signal theory and processing in the context of telecommunications and remote sensing systems.
• Making judgements: During the course, students are continuously encouraged to critically reflect on the methods of transmitting information through signals. Alternative textbooks are suggested to foster the development of critical thinking.
• Communication skills: Communication skills are taught through lectures and the evaluation of written texts produced by students during examinations.
• Learning skills: Students are taught to work independently in their studies, with frequent references to topics covered in previous courses and to related professional activities.

Educational objectives

GENERAL
The course aims to provide students with a solid foundation in probability theory, random variables, and stochastic processes, with a focus on applications in information and communication engineering. Core concepts include probability, distributions, univariate and multivariate random variables, and variable transformations.
A special emphasis is placed on random signals and their processing through linear time-invariant systems. Students will learn how to model uncertain phenomena, analyze noise-affected signals, and use tools such as power spectral density and matched filters. The course offers essential theoretical and practical knowledge for analyzing communication systemsì and remote sensing.

SPECIFIC
• Knowledge and understanding: By the end of the course, the student will have learned how to use probability theory to model random phenomena, with particular emphasis on the representation and processing of random signals.
• Applying knowledge and understanding: The student will learn the fundamentals of applying random signal theory and processing in the context of telecommunications and remote sensing systems.
• Making judgements: During the course, students are continuously encouraged to critically reflect on the methods of transmitting information through signals. Alternative textbooks are suggested to foster the development of critical thinking.
• Communication skills: Communication skills are taught through lectures and the evaluation of written texts produced by students during examinations.
• Learning skills: Students are taught to work independently in their studies, with frequent references to topics covered in previous courses and to related professional activities.

Educational objectives

GENERAL
The course aims to provide a comprehensive overview of the MATLAB language, covering its fundamentals, core constructs, and commands for vector and matrix manipulation, graph creation, and symbolic computation. Special attention will be given to the use of the most relevant toolboxes for telecommunications engineering. The course will delve into key topics related to digital signal processing, including the Fourier transform, statistical signal analysis, multimedia signal processing (audio and images), filter design, and other specific applications.

SPECIFIC
• Knowledge and understanding: gain familiarity with the problems, methodologies, and applications of programming in MATLAB, with a particular focus on signal processing.
• Applying knowledge and understanding: be able to independently develop simple simulation programs using MATLAB.
• Making judgements: develop critical thinking skills through hands-on exercises focused on the implementation of specific simulation algorithms.
• Communication skills: develop the ability to clearly and critically present the concepts learned during the course.
• Learning skills: enhance the capacity for independent and self-directed learning through in-depth individual study of the course topics.

Educational objectives

GENERAL
The module provides the basis for understanding the operation of electronic devices made in bipolar (diodes) and especially unipolar (MOSFET) technology, and which are used to create solid-state integrated circuits (ICs); presents the characterization methods of electronic devices and systems; presents and allows the learning of analytical methods and CAE techniques necessary for the study of the alternative topologies for basic circuits and blocks used in communication systems.

SPECIFIC
• Knowledge and understanding: students acquire knowledge of the basic technology of solid-state electronics, and learn the analytical methods used to solve circuits, understanding the operating modes of specific circuits used in telecommunications.
• Applying knowledge and understanding: students are required to apply analysis, design and characterization methodologies of analog electronic circuits built using integrated technology, both through PSPICE simulation and through experimental activities carried out in the laboratory.
• Making judgements: the development of critical and analytical skills of the students is supported by carrying out laboratory experiences at the measurement benches on teaching boards made by teachers and/or commercial ones, for example Analog System Lab Kit PRO by Texas Instruments. Computer simulation tests are also carried out with the CAE PSPICE software for the analysis of electronic circuits.
• Communication skills: the ability to interact with other professional figures in the information engineering area is developed through the acquisition of the ability to describe circuit solutions adopted to solve signal processing problems: from power supply problems to matching, amplification, filtering and in general modification of the constituent parameters. The communication ability is developed by addressing some fundamental issues with the request for active participation in the solution of problems, on the basis of the knowledge acquired from previous lessons or from courses already passed.
• Learning skills: the course contents and the teaching approach, which also includes laboratory experiences, facilitate the possibility of continuing the study of advanced electronics topics even after the end of the course, based on the analysis and design methodologies acquired.

Educational objectives

GENERAL
Knowledge of linear dynamical systems modelling and representation, and of the basic methodologies for analyzing and designing feedback controllers for linear dynamical systems, using both state-space and input-output descriptions.
Knowledge of the basic methodologies for analyzing and designing feedback controllers in the frequency domain for SISO linear dynamical systems.

SPECIFIC
• Knowledge and understanding: knowledge and understanding of basic modelling and control methodologies for linear dynamical systems with focus on frequency domain methods.
• Applying knowledge and understanding: ability to define a mathematical model, to analyse the dynamics of linear systems, to design feedback control schemes for linear systems in the frequency domain, to translate specifications of the control problems in appropriate constraints for control design.
• Making judgements: ability to evaluate and validate the designed controller also through simulation tools ability to evaluate and validate the designed controller also through simulation tools.
• Communications skills: ability to illustrate the proposed solutions providing motivations in terms of satisfactions of specifications, accuracy of result and optimality properties.
• Learning skills: ability to study advanced topics in linear and nonlinear control system theory.

Educational objectives

GENERAL
Goal of this course is to describe the behaviour and evaluate the performance of the main components (e.g., functional blocks) that build-up analogue and digital communication systems, as well as packet-switched data networks. It is expected that the attending students will acquire the basic notions about the architectures and related performance of both analogue and digital communication systems. To attain this goal, it is required a good background about analogue and digital signal processing in the continuous and discrete-time domains.

SPECIFIC
• Knowledge and understanding: It is expected that the attending students will acquire the basic knowledge and understanding of the basic principles of the analogue and digital communication systems.
• Applying knowledge and understanding: It is expected that the attending student is capable to exploit the acquired skills to the performance analysis and basic design of the analogue and digital communication systems.
• Making judgements: It is expected that the attending student acquires the capability to judge the technical-economic impact of the various feasible system solutions in the specific application scenarios in which he/she will operate.
• Communication skills: It is expected that the student acquires the basic techno-scientific language that is needed to describe and communicate performance analysis and system design, so to be capable to operate in teams.
• Learning skills: After attending the course, the student would be capable to self-acquire new technological-scientific skills regarding the design of communication systems, possibly via the autonomous consultation of the reference technical literature.

Educational objectives

GENERAL
The Machine Learning course provides students with a solid theoretical and practical understanding of the main machine learning algorithms. Students will gain in-depth knowledge of classification and regression models, such as linear models, decision trees, and boosting, as well as unsupervised learning approaches like clustering and dimensionality reduction. Throughout the course, students will learn both the theoretical principles and practical applications of these algorithms through numerous exercises and projects. By the end of the course, students will be able to independently navigate the scientific literature to tackle more advanced problems and implement the concepts learned within existing frameworks and libraries.

SPECIFIC
• Knowledge and understanding: The student will acquire a strong understanding of the main supervised and unsupervised machine learning algorithms, as well as the necessary mathematical prerequisites such as linear algebra, probability, and optimization.
• Applying knowledge and understanding: The student will be able to apply the concepts learned during the course to implement machine learning algorithms within well-known libraries and frameworks.
• Making judgements: The student will develop the ability to analyze and solve complex problems using machine learning techniques, even by consulting advanced resources.
Communication skills: The student will be able to effectively communicate the learned concepts, both verbally and in writing, to both technical and non-technical audiences.
• Learning skills: The student will gain the tools necessary to continue learning independently, by consulting scientific literature to further explore advanced topics in machine learning.

Educational objectives

GENERAL
The main objectives of the course are the following: knowledge about the classification of the telecommunication networks and services; skills in dimensioning of the physical resources in a TLC network; skills in identifying a communication architecture and a network service suitable to satisfy the Quality of Service requirements; knowledge about local area network; knowledge about the Internet network.

SPECIFIC
• Knowledge and understanding: The student learns about the principles and paradigms of operation and design of telecommunications networks, especially the Internet.
• Applying knowledge and understanding: The student is able to apply the knowledge acquired in the field of telecommunications networks to contribute to the definition of engineering solutions, including innovative ones, and to assess the impact of the proposed solutions.
• Making judgements: the student has the ability to analyse and contribute to the design of telecommunications networks, evaluating the impact of solutions in the telecommunications application context, with reference to both technical and organization aspects.
• Communication skills: The course does not include specific objectives on communication skills.
• Learning skills: The student is able to autonomously acquire new knowledge of a technical-scientific nature relating to telecommunications networks by making use of various self-directed learning tools, including the autonomous study of relevant technical literature.

Educational objectives

GENERAL
The aim of the course is to introduce the conceptual and analytical tools necessary to understand the functioning, evaluate the performance, and design the key parameters of wireless communication systems.
Through multiple practical examples in the fields of telecommunications and sensing, the objective is to provide broad knowledge and skills applicable to various types of wireless systems, with a particular focus on design challenges and implementation choices for the corresponding transceiver devices.

SPECIFIC
• Knowledge and understanding: Understanding the operating principles and main challenges of wireless communication systems, with a particular focus on transceiver devices.
• Applying knowledge and understanding: Using acquired tools to critically assess performance and define design parameters.
• Making judgements: Developing the ability to critically evaluate alternative design solutions and, consequently, acquire the tools to make well-informed decisions.
• Communication skills: Effectively communicating information, issues, and solutions related to wireless communication system devices to both specialist and non-specialist audiences.
• Learning skills: Developing the necessary skills to undertake further studies on wireless systems for telecommunications, radio positioning, and sensing with a high degree of autonomy.

Educational objectives

GENERAL
The final examination of the Bachelor’s Degree Program is a key individual learning opportunity that allows students to apply the knowledge acquired during their academic studies to a specific context in Telecommunication Engineering. By preparing and presenting an original written project, students are required to demonstrate their ability to independently and methodically address practical problems related to systems and/or applications in the field.
The thesis is developed under the supervision of a faculty member of the Degree Program Board in Telecommunication Engineering and may also be carried out as part of an internship at a public or private institution. The final examination culminates in an oral presentation before a dedicated committee, which evaluates both the technical-scientific content of the work and the quality of the presentation.
Its goal is to consolidate acquired skills, enhance critical thinking, promote technical communication abilities, and foster connections between academic education and the professional world.

SPECIFIC
• Knowledge and understanding: The student demonstrates solid knowledge of a topic relevant to Telecommunication Engineering.
• Applying knowledge and understanding: The student can analyze a real-world problem, propose consistent solutions, and independently develop a technical report.
• Making judgements: The student critically assesses the adopted design or methodological choices and justifies them based on technical criteria.
• Communication skills: The student presents the work clearly and effectively, using language appropriate to the technical and scientific context.
• Learning skills: The student shows autonomy in exploring new or complementary topics beyond those covered in the degree program.