Information Engineering

Educational objectives

Aim of this module is the achievement, by the students, of the basic means of Mathematical Analysis related to the study of functions of one real variable and their use for the solution of problems in Applied Mathematics, and in particular of Physical and Engineering problems. Special emphasis is devoted to qualitative study and approximate solution of these problems, by virtue of asymptotical techniques, Taylor polynomials etc.
Risultati di apprendimento attesi (Inglese): Successful students will be able to study the behavior of numerical sequences and series; to sketch the complete graph of a function of one variable; to develop the Taylor (or MacLaurin) polynomials of functions of one variable; to study the asymptotical behavior of a function when the independent variable approaches infinity or singularities or zeros; to solve optimization problems in one variable, on bounded and unbounded intervals; to solve definite, indefinite and improper integrals; to solve some kinds of ordinary differential equations, characterizing several Physics and Engineering problems.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Analysis of functions of one variable; in particular: the differentiation and integration of function of one variable; numerical sequences and series, complex numbers; asymptotical expansions; Ordinary Differential Equations.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to apply the aforementioned tools mainly to the study of the Analysis 2 and of Physics and Engineering problems, with the aim of solving Ordinary Diferential Equations, studying graphs of functions and their asymptotic behaviour, solving derivatives and indefinite, definite and improper integrals, problems in the field of complex numbers.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given Physics or Engineering problem, the best methodology, through the deep understanding of the requirements and constraints of the context.

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the importance of the tools studied in the course, with the aim of applying them to Physics and Engineering problems; for example, the application of the complex exponential to the styudy of waves and signals, the solution of derivatives and integrals, the study of the asymptotic behavoiur of physical phenomena.

LEARNING SKILLS.
The student will develop the capability to autonomously study the theoretical topics characterizing the course and their application to the study of Mathematical Analysis 2 and of practical problems in Physycs and Engineering.

Educational objectives

Basics in linear algebra and geometry. Linear systems and their geometrical interpretation for 2 or 3 unknowns.
Familiarity with rigorous reasoning, with numerical and symbolic calculus, with the analysis of problems using an optimal strategy.
Familiarity with vectors and matrices, and with geometrical entities in 2 or 3 dimensions in
connection with equations of degree 1 or 2.
Understanding of linear applications and, in particular, of diagonalization.
Expected learning outcomes:
I expect constant learning as the course goes on; learning will be increased by tutorials and tests.
Little difficulties can be solved also by an email contact.
Although the beginning may be difficult, mostly due to faults in the mathematical background, after the first impact - in several cases after the first or second written examination - one expects a neat improvement.

Educational objectives

Obiettivi generali:

Basic knowledge about the architecture and organization of a computer.
Development of skills on the definition of algorithms to solve problems.
Foundations of programming, using C as reference language.
Familiarity with the definition and use of data structures, both elementary (such as arrays) and more complex (such as data tables, linked lists and binary trees).
Capability to apply the above mentioned knowledge to solve problems of low and medium complexity, entailing the selection and definition of suitable algorithms and the implementation of small-medium size software systems.

Obiettivi specifici:

Knowledge and understanding:
Knowledge about the structured programming methodology.
Programming and problem solving skills, involving the definition and implementation of data structures/programs suitable to solve problems.
Knowledge about notable algorithms, and skilled selection of the best suited algorithm for a problem.
Technical skills in the management of program modules, data structures of progressive complexity (from static defined data structures to dynamically managed data structures).
Visualization and comprehension of the principles on which a computer run programs.

Applying knowledge and understanding:
Use of programming environments to implement programs.
Definition of algorithms and modularized programs to solve a problem.
Skills related to the design and implementation of small/medium software systems.
Skills related to the comprehension of the execution of a program, to be applied in program testing activity.

Making judgements:
Being able to assess the correctness and appropriateness of a function or a program built by modules.
These skills are developed during the autonomous in-depth analysis fostered by the learning materials, and during the lab activities.
These skills are deepened with the production, description, and discussion with the teacher, of homework.

Communication:
Being able to describe and share the lines of design and implementation of a program, explaining the decisions taken about the representation in the program of relevant data of the problem.
The homework duties require to provide the teacher with a short description of the solution, so to put on trial the communication capabilities of the student.

Learning skills:
Structured programming is explained and described as a step toward further advanced programming methodologies, to foster awareness that there is more to see and one should not settle on what was learned so far.
The activities fostered by the course, such as the autonomous in depth analysis, and the design and implementation of small and less small programs, as requested by the homework, allow to develop such comprehension and trains the student to do her/his own update, in this area, autonomously in the future.

Educational objectives

This course provides an introduction to telecommunication networks with specific attention to computer networking.
It presents the basic concepts, protocols and architectures of telecommunication networks; main topics covered are: layered models, network services, inter-networking and their implementation in main network's types like Internet, Ethernet and wireless LANs.
The student will learn the principles about telecommunications networks and know how to apply both to theoretical simple cases and to some of the actual implementations of data networks.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Communication Networks. The students will learn how a communication network works and how to analyze its performance.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to use and configure the network devices. It will also learn how to evaluate the network performance and how to choose the main design parameters.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given application context, the best communication paradigm (client-server app, transport protocol, switching paradigm, transmission technology).

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the concepts of TCP/IP stack, explaining the relations that exist between different layers and the main services that these provide.

LEARNING SKILLS.
The student will develop the capability to autonomously study, network design skill, and it will develop the ability to evaluate the network performance.

Educational objectives

In the course of Physics I the fundamental principles are explained and discussed
of classical physics concerning: Mechanics and Thermodynamics of bodies / systems. The student is introduced to the use of the scientific method up to the necessary modeling and to the resolution of problems of daily interest.
At the end of the course the student will have to:
1) know and know how to apply the laws and basic principles of mechanics and classical thermodynamics.
2) be able to analyze a problem concerning the mechanics and thermodynamics of a system so as to be able to determine its evolution.
3) have acquired skills in the approach and resolution of problems of any kind.

Educational objectives

The student will be able to study and use
- curves and surfaces
- partial derivatives and directional functions of several variables
- two-dimensional and three-dimensional domains,
- curvilinear coordinates (polar, spherical, cylindrical),
- multiple integrals, surface integrals and line integrals of functions,
- exactness of differential forms and their potentials,
- line integrals over simple and closed circuits,
- differential operators, flows, Divergence Theorem and Stokes’ Theorem,
- power series, Taylor series, Fourier series.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Analysis of functions of several variables; in particular: the differentiation and integration of function of several variables; curves and surfaces; differential opertators: gradient, divergence, curl, laplacian; sequences and series of functions, with particular attention on Taylor and Fourier series.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to apply the aforementioned tools mainly to Physics and Engineering problems: partial differential equations, vector fields, centers of mass, moments of inertia, work and potentials, conservative and non-conservative forces, Gauss Theorem, Stokes Theorem, Maxwell Equations.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given Physics or Engineering problem, the best methodology, through the deep understanding of the requirements and constraints of the context.

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the importance of the tools studied in the course, with the aim of applying them to Physics and Engineering problems, such as the signal reconstruction, the study of typical problems in Fluidodymìnamics, Electromagnetism, Hydrodynamics and in general problems which imply the use of the differential and integral calculus for functions of several variables.

LEARNING SKILLS.
The student will develop the capability to autonomously study the theoretical topics characterizing the course and their application to practical problems in Physycs and Engineering.

Educational objectives

Give students the essential linguistic competences needed to deal with
written scientific communication

Educational objectives

To supply the fundamental principles of classic electromagnetism and of
wave phenomena in vacuum and in matter, stressing the experimental
character of the subjects. To teach how to solve by reasoning simple
problems on the above subjects.The student must understand the phenomena related with classic
electromagnetism and with wave propagation. He must realize which
physics lows are obtained from experiments and which from mathematical
deduction. He must also learn how to apply the subjects studied to the
solution of simple problems.

Educational objectives

The aim of the course is to study and deepen the fundamental aspects related to software design such as software quality; the concept of module and modularization; the distinction between analysis, design, and implementation of applications; the notion of specification; etc. These topics are treated with emphasis on both methodological and experimental aspects using the UML language for the analysis phase, and Java language for the implementation phase. The introduction to each phase of the software design and implementation process will be followed by guided exercises designed to apply what has been learned in practice.
At the end of the course the student will have acquired: the basic skills for the development of even complex software projects, familiarity with the basic principles of object-oriented programming, knowledge of Java language and advanced development environments.

Educational objectives

The aim of the course is to provide some basic concepts of Probability, which are the basis of logical-mathematical reasoning in situations of uncertainty and randomness, characterized by incomplete information. The student is encouraged to develop those critical skills that allow them to deal with new problems as well as routine problems, learning to model different phenomena in terms of "events" and "random variables". In particular, students must master some basic concepts related to probability calculation, combinatorics, discrete and continuous probability distributions. This knowledge will allow to study the random signals during the second part of the course.

Educational objectives

The aim of the course is to provide some basic concepts of Probability, which are the basis of logical-mathematical reasoning in situations of uncertainty and randomness, characterized by incomplete information. The student is encouraged to develop those critical skills that allow them to deal with new problems as well as routine problems, learning to model different phenomena in terms of "events" and "random variables". In particular, students must master some basic concepts related to probability calculation, combinatorics, discrete and continuous probability distributions. This knowledge will allow to study the random signals during the second part of the course.

Educational objectives

The purpose of the course is to introduce the concepts of modeling and the main methods of study of dynamic systems oriented, with particular reference to the class of linear and stationary systems, continuous-time and discrete-time, as well as illustrating the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer both to the synthesis of continuous controllers, can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, and for direct route, starting from the exact representation of the league system.
The students, the exam, will have acquired sufficient knowledge with regard to the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), With particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) In the representation with the state space or an input-output relationship; They will be able to analyze the dynamic characteristics, determining the behavior as a function of the inputs and initial conditions; They will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system. Know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will choose, in function of the given problem, the available information and items specific, the best technique that allows to arrive at the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. In some cases they will refer to embodiments schemes, analog or digital, of implementation. They, also, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

The purpose of the course is to introduce the concepts of mathematical modeling and the main methods for the study of dynamic systems, with particular reference to the class of linear and stationary systems, both continuous-time and discrete-time.
The students, at the end of the course, will have acquired sufficient knowledge about the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), with particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) in the representation with the state space or an input-output relationship; they will be able to analyze the dynamic characteristics, determining their behavior as a function of the inputs and initial conditions; they will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Through the introduction of the basic concepts concerning the analysis of linear time-invariant electrical circuits, with particular reference both to the problems of signal and information processing and to power electrical systems, the student will acquire understanding to avant-garde themes in the field of study, in relation to circuits and algorithms for the processing of information in industrial and ICT applications.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
At the end of the course, the student will be provided with a basic preparation that will allow the understanding of phenomena related to the production, transmission and use of electricity. She/he will therefore be able to apply the acquired knowledge in an appropriate way as well as to apply techniques and methods of analysis and solution within the field of study, with particular reference to the Information Engineering.

MAKING AUTONOMOUS JUDGEMENTS.
The course aims at providing the capability to analyze linear time-invariant electrical circuits, which is preliminary to face subsequent issues concerning the theory of linear and non-linear circuits, electronics and telecommunications. In this way, the student will collect and interpret the concepts provided in order to make judgments in an autonomous manner, especially for the continuation of her/his studies.

COMMUNICATE SKILLS.
The course illustrates the fundamental methods for the modeling and the analysis of linear time-invariant electrical circuits. Particular emphasis is given to the application aspects and those of intersection with the normal activities of an information engineer. Following this course, the student will be able to communicate the acquired information and the awareness of the existing problems to specialists and non-specialists in the world of work and research, in which she/he will develop her/his subsequent educational, scientific and professional activities.

LEARNING SKILLS.
The teaching methodology implemented in the course, based on the rigorous definition of the reference model, will require to face technical-scientific problems never seen before in a proactive way and with a solid and well-defined methodology, so as to be able to develop the necessary skills to undertake the subsequent studies with a high degree of autonomy. In particular, the use of analytic transformations (Laplace Transform and Fourier Transform) improves the comprehension of phenomena and the generalization capability.

Educational objectives

The course aims to provide the general knowledge of an electronic system intended
as an information processing system. For analog circuits the focus is on the concept of gain for the various types of
amplifiers, and on the application limits due to bandwidth, power and noise. For digital circuits we focus on the
fundamental logic gates and on the characteristics of robustness, processing speed and power consumption.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Students will be able to analyze simple electronic systems and to
identify their behavior even in the presence of capacitive elements. They will also be able to analyze the building
blocks of integrated analog circuits. Regarding digital systems, students will have the basic elements to design
simple digital systems at various levels of abstraction (gate and circuit) and to identify the implementation
technology best suited to the specific project case.
COMMUNICATE SKILLS. The oral exam checks the development of communication and organizational skills.
LEARNING SKILLS. The written test verifies the students' ability to extract from the reference texts the information
necessary to perform a particular problem of analysis or design of electronic circuits.

Educational objectives

The aim of the course is to provide some basic concepts of Probability, which are the basis of logical-mathematical reasoning in situations of uncertainty and randomness, characterized by incomplete information. The student is encouraged to develop those critical skills that allow them to deal with new problems as well as routine problems, learning to model different phenomena in terms of "events" and "random variables". In particular, students must master some basic concepts related to probability calculation, combinatorics, discrete and continuous probability distributions. This knowledge will allow to study the random signals during the second part of the course.

Educational objectives

The aim of the course is to provide some basic concepts of Probability, which are the basis of logical-mathematical reasoning in situations of uncertainty and randomness, characterized by incomplete information. The student is encouraged to develop those critical skills that allow them to deal with new problems as well as routine problems, learning to model different phenomena in terms of "events" and "random variables". In particular, students must master some basic concepts related to probability calculation, combinatorics, discrete and continuous probability distributions. This knowledge will allow to study the random signals during the second part of the course.

Educational objectives

The purpose of the course is to introduce the concepts of modeling and the main methods of study of dynamic systems oriented, with particular reference to the class of linear and stationary systems, continuous-time and discrete-time, as well as illustrating the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer both to the synthesis of continuous controllers, can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, and for direct route, starting from the exact representation of the league system.
The students, the exam, will have acquired sufficient knowledge with regard to the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), With particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) In the representation with the state space or an input-output relationship; They will be able to analyze the dynamic characteristics, determining the behavior as a function of the inputs and initial conditions; They will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system. Know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will choose, in function of the given problem, the available information and items specific, the best technique that allows to arrive at the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. In some cases they will refer to embodiments schemes, analog or digital, of implementation. They, also, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

Purpose of the course is the illustration of the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer to the synthesis of continuous controllers which can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, or by means of direct approaches, starting from the exact representation of the equivalent sampled system.
At the end of the couse the student will know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will be able to choose, in function of the given problem, the available information and items specific, the best technique that allows to obtain the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. Moreover, they, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

Main emphasis on developing oral and written understanding skills in technical environments, beyond the level of competence that was acquired during the previous basic course.
Core vocabulary will be enhanced, in variety of engineering-related fields, suitably for people who are going to deal with production, planning, maintenance, purchasing, testing, lab work, prjoect work and quality/safety issues.

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The aim of this course is to provide to the student, who has already learned the basics of electronics in Elettronica, further tools needed to understand and analyze complex electronic systems. In particular, the course aims to provide deeper analysis skills on analog electronic systems, by taking into account basic multidevice stages (cascode, current mirror, differential pair) and studying the issues of cascading amplifier stages, of the frequency behavior of the amplifiers, and of the application of negative feedback.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The course provides the capability of analyzing analog circuits composed of several transistors, and based on feedback techniques.
MAKING AUTONOMOUS JUDGEMENTS. At the end of this course, the student will be able to analyze analog electronic systems composed by more than one active device, and will know the properties of basic multidevice topologies (cascode, current mirrors, differential pair). They will be able to analyze the frequency behavior of open-loop amplifiers, and to study non-ideal negative feedback systems.
COMMUNICATE SKILLS.
LEARNING SKILLS. The course provides the basis for further studies in analog electronics, giving to the students the needed skills to autonomously analyze complex circuits.

Educational objectives

Knowledge and understanding. The course is aimed to provide an adequate knowledge of some fundamental topics in applied Electromagnetics, of considerable importance for the applications.
Capability to apply knowledge and understanding. Students will be able to have an overall vision of applied electromagnetics, with particular reference to the unifying methodological aspects and to the mathematical techniques employed, which will allow them to find their bearings in successive study or in job positions. In particular, the students will have understood in depth the principal concepts of guided and free propagation.
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. Written reports will be compiled.
Communicate skills. To be able to describe the Course topics. To be able to communicate the knowledge acquired on the Course topics. Oral presentations will be performed.
Learning skills. Key instruments extensively used for their physical intuition and representative power are the plane waves and the modal expansions with the relevant equivalent distributed circuits (transmission lines). The concept of Green’s function is introduced as well.

Educational objectives

FIRST, THE COURSE PROVIDES A DESCRIPTION OF THE FIRM FINANCIAL STATEMENT, SEEN AS A MODEL ABLE TO REPRESENT SOME IMPORTANT BUSINESS DYNAMICS. SECONDLY, THE COURSE PRESENTS SOME INTERPRETATIVE TOOLS THAT ALLOWS THE ANALYST TO ASSESS THE FINANCIAL SITUATION OF THE COMPANY BY TAKING INTO ACCOUNT THE INFORMATION CONTAINED IN THE FINANCIAL STATEMENT. FINALLY, IT INTRODUCES THE CONCEPT OF RATIONAL DECISION IN ECONOMICS, THE FUNDAMENTAL PRINCIPLES OF FINANCE AND THE METHODOLOGICAL TOOLS TO SET THE FINANCIAL EVALUATION OF THE INVESTMENT PROJECTS.

Educational objectives

The stage/thesis activity consists in the development of a personal project, under the quidance and guard of a faculty member.
The
work will help developng skills related to self-organization,
capability to work under guidance and in group, and capability to put in
practice what has been learnt during the study course or during the
initial period of work in for the stage/thesis.

Educational objectives

The final exam consists of the presentation of an essay related to the activities conducted during the stage/Thesis-Work.
The preparation for this exam make it necessary for the student to get skills related to the presentation of her/his work,and the capability to discuss and argue with an audience fully aware of the topics presented.

Educational objectives

Aim of this module is the achievement, by the students, of the basic means of Mathematical Analysis related to the study of functions of one real variable and their use for the solution of problems in Applied Mathematics, and in particular of Physical and Engineering problems. Special emphasis is devoted to qualitative study and approximate solution of these problems, by virtue of asymptotical techniques, Taylor polynomials etc.
Risultati di apprendimento attesi (Inglese): Successful students will be able to study the behavior of numerical sequences and series; to sketch the complete graph of a function of one variable; to develop the Taylor (or MacLaurin) polynomials of functions of one variable; to study the asymptotical behavior of a function when the independent variable approaches infinity or singularities or zeros; to solve optimization problems in one variable, on bounded and unbounded intervals; to solve definite, indefinite and improper integrals; to solve some kinds of ordinary differential equations, characterizing several Physics and Engineering problems.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Analysis of functions of one variable; in particular: the differentiation and integration of function of one variable; numerical sequences and series, complex numbers; asymptotical expansions; Ordinary Differential Equations.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to apply the aforementioned tools mainly to the study of the Analysis 2 and of Physics and Engineering problems, with the aim of solving Ordinary Diferential Equations, studying graphs of functions and their asymptotic behaviour, solving derivatives and indefinite, definite and improper integrals, problems in the field of complex numbers.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given Physics or Engineering problem, the best methodology, through the deep understanding of the requirements and constraints of the context.

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the importance of the tools studied in the course, with the aim of applying them to Physics and Engineering problems; for example, the application of the complex exponential to the styudy of waves and signals, the solution of derivatives and integrals, the study of the asymptotic behavoiur of physical phenomena.

LEARNING SKILLS.
The student will develop the capability to autonomously study the theoretical topics characterizing the course and their application to the study of Mathematical Analysis 2 and of practical problems in Physycs and Engineering.

Educational objectives

Basics in linear algebra and geometry. Linear systems and their geometrical interpretation for 2 or 3 unknowns.
Familiarity with rigorous reasoning, with numerical and symbolic calculus, with the analysis of problems using an optimal strategy.
Familiarity with vectors and matrices, and with geometrical entities in 2 or 3 dimensions in
connection with equations of degree 1 or 2.
Understanding of linear applications and, in particular, of diagonalization.
Expected learning outcomes:
I expect constant learning as the course goes on; learning will be increased by tutorials and tests.
Little difficulties can be solved also by an email contact.
Although the beginning may be difficult, mostly due to faults in the mathematical background, after the first impact - in several cases after the first or second written examination - one expects a neat improvement.

Educational objectives

This course provides an introduction to telecommunication networks with specific attention to computer networking.
It presents the basic concepts, protocols and architectures of telecommunication networks; main topics covered are: layered models, network services, inter-networking and their implementation in main network's types like Internet, Ethernet and wireless LANs.
The student will learn the principles about telecommunications networks and know how to apply both to theoretical simple cases and to some of the actual implementations of data networks.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Communication Networks. The students will learn how a communication network works and how to analyze its performance.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to use and configure the network devices. It will also learn how to evaluate the network performance and how to choose the main design parameters.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given application context, the best communication paradigm (client-server app, transport protocol, switching paradigm, transmission technology).

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the concepts of TCP/IP stack, explaining the relations that exist between different layers and the main services that these provide.

LEARNING SKILLS.
The student will develop the capability to autonomously study, network design skill, and it will develop the ability to evaluate the network performance.

Educational objectives

In the course of Physics I the fundamental principles are explained and discussed
of classical physics concerning: Mechanics and Thermodynamics of bodies / systems. The student is introduced to the use of the scientific method up to the necessary modeling and to the resolution of problems of daily interest.
At the end of the course the student will have to:
1) know and know how to apply the laws and basic principles of mechanics and classical thermodynamics.
2) be able to analyze a problem concerning the mechanics and thermodynamics of a system so as to be able to determine its evolution.
3) have acquired skills in the approach and resolution of problems of any kind.

Educational objectives

The student will be able to study and use
- curves and surfaces
- partial derivatives and directional functions of several variables
- two-dimensional and three-dimensional domains,
- curvilinear coordinates (polar, spherical, cylindrical),
- multiple integrals, surface integrals and line integrals of functions,
- exactness of differential forms and their potentials,
- line integrals over simple and closed circuits,
- differential operators, flows, Divergence Theorem and Stokes’ Theorem,
- power series, Taylor series, Fourier series.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Analysis of functions of several variables; in particular: the differentiation and integration of function of several variables; curves and surfaces; differential opertators: gradient, divergence, curl, laplacian; sequences and series of functions, with particular attention on Taylor and Fourier series.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to apply the aforementioned tools mainly to Physics and Engineering problems: partial differential equations, vector fields, centers of mass, moments of inertia, work and potentials, conservative and non-conservative forces, Gauss Theorem, Stokes Theorem, Maxwell Equations.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given Physics or Engineering problem, the best methodology, through the deep understanding of the requirements and constraints of the context.

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the importance of the tools studied in the course, with the aim of applying them to Physics and Engineering problems, such as the signal reconstruction, the study of typical problems in Fluidodymìnamics, Electromagnetism, Hydrodynamics and in general problems which imply the use of the differential and integral calculus for functions of several variables.

LEARNING SKILLS.
The student will develop the capability to autonomously study the theoretical topics characterizing the course and their application to practical problems in Physycs and Engineering.

Educational objectives

Obiettivi generali:

Basic knowledge about the architecture and organization of a computer.
Development of skills on the definition of algorithms to solve problems.
Foundations of programming, using C as reference language.
Familiarity with the definition and use of data structures, both elementary (such as arrays) and more complex (such as data tables, linked lists and binary trees).
Capability to apply the above mentioned knowledge to solve problems of low and medium complexity, entailing the selection and definition of suitable algorithms and the implementation of small-medium size software systems.

Obiettivi specifici:

Knowledge and understanding:
Knowledge about the structured programming methodology.
Programming and problem solving skills, involving the definition and implementation of data structures/programs suitable to solve problems.
Knowledge about notable algorithms, and skilled selection of the best suited algorithm for a problem.
Technical skills in the management of program modules, data structures of progressive complexity (from static defined data structures to dynamically managed data structures).
Visualization and comprehension of the principles on which a computer run programs.

Applying knowledge and understanding:
Use of programming environments to implement programs.
Definition of algorithms and modularized programs to solve a problem.
Skills related to the design and implementation of small/medium software systems.
Skills related to the comprehension of the execution of a program, to be applied in program testing activity.

Making judgements:
Being able to assess the correctness and appropriateness of a function or a program built by modules.
These skills are developed during the autonomous in-depth analysis fostered by the learning materials, and during the lab activities.
These skills are deepened with the production, description, and discussion with the teacher, of homework.

Communication:
Being able to describe and share the lines of design and implementation of a program, explaining the decisions taken about the representation in the program of relevant data of the problem.
The homework duties require to provide the teacher with a short description of the solution, so to put on trial the communication capabilities of the student.

Learning skills:
Structured programming is explained and described as a step toward further advanced programming methodologies, to foster awareness that there is more to see and one should not settle on what was learned so far.
The activities fostered by the course, such as the autonomous in depth analysis, and the design and implementation of small and less small programs, as requested by the homework, allow to develop such comprehension and trains the student to do her/his own update, in this area, autonomously in the future.

Educational objectives

Give students the essential linguistic competences needed to deal with
written scientific communication

Educational objectives

The aim of the course is to study and deepen the fundamental aspects related to software design such as software quality; the concept of module and modularization; the distinction between analysis, design, and implementation of applications; the notion of specification; etc. These topics are treated with emphasis on both methodological and experimental aspects using the UML language for the analysis phase, and Java language for the implementation phase. The introduction to each phase of the software design and implementation process will be followed by guided exercises designed to apply what has been learned in practice.
At the end of the course the student will have acquired: the basic skills for the development of even complex software projects, familiarity with the basic principles of object-oriented programming, knowledge of Java language and advanced development environments.

Educational objectives

To supply the fundamental principles of classic electromagnetism and of
wave phenomena in vacuum and in matter, stressing the experimental
character of the subjects. To teach how to solve by reasoning simple
problems on the above subjects.The student must understand the phenomena related with classic
electromagnetism and with wave propagation. He must realize which
physics lows are obtained from experiments and which from mathematical
deduction. He must also learn how to apply the subjects studied to the
solution of simple problems.

Educational objectives

General objectives:

The aim of the course is to introduce fundamental principles and techniques for data representation, algorithm design, and analysis of their performance. The application of these principles and techniques is demonstrated through the study of classic algorithms and data structures, which are of significant theoretical and practical importance. Linear and non-linear connected structures (lists, stacks, queues, trees, graphs, hash tables) are covered, along with their respective sorting, searching, and selection problems, analyzing the performance of the corresponding algorithms.

Specific objectives:

Knowledge and understanding: By the end of the course, students are expected to be familiar with classic data structures and algorithms for solving fundamental problems, as well as the main techniques for performance analysis.

Applied knowledge and understanding: Through the application of acquired knowledge, students learn to compare different solutions based on their computational characteristics (time taken, memory usage) and are able to provide a concrete implementation of the studied data structures and algorithms in a programming language.

Judgment autonomy: Targeted exercises enable students to develop the ability to design and implement algorithmic solutions and evaluate their performance.

Communication skills: Classroom lectures provide students with the technical language necessary for effective idea exchange; this language is used by students during interactive exercises to propose and analyze their own solution to the chosen problem.

Learning ability: The course introduces basic notions, principles, and techniques necessary for the study of algorithms and data structures in general. Although the application of these elements is demonstrated on a selection of fundamental problems, the course equips students with the ability to generalize this application and thus tackle the study of more advanced approaches not covered in the program.

Educational objectives

The aim of the course is to provide some basic concepts of Probability, which are the basis of logical-mathematical reasoning in situations of uncertainty and randomness, characterized by incomplete information. The student is encouraged to develop those critical skills that allow them to deal with new problems as well as routine problems, learning to model different phenomena in terms of "events" and "random variables". In particular, students must master some basic concepts related to probability calculation, combinatorics, discrete and continuous probability distributions. This knowledge will allow to study the random signals during the second part of the course.

Educational objectives

The purpose of the course is to introduce the concepts of modeling and the main methods of study of dynamic systems oriented, with particular reference to the class of linear and stationary systems, continuous-time and discrete-time, as well as illustrating the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer both to the synthesis of continuous controllers, can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, and for direct route, starting from the exact representation of the league system.
The students, the exam, will have acquired sufficient knowledge with regard to the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), With particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) In the representation with the state space or an input-output relationship; They will be able to analyze the dynamic characteristics, determining the behavior as a function of the inputs and initial conditions; They will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system. Know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will choose, in function of the given problem, the available information and items specific, the best technique that allows to arrive at the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. In some cases they will refer to embodiments schemes, analog or digital, of implementation. They, also, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

The purpose of the course is to introduce the concepts of mathematical modeling and the main methods for the study of dynamic systems, with particular reference to the class of linear and stationary systems, both continuous-time and discrete-time.
The students, at the end of the course, will have acquired sufficient knowledge about the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), with particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) in the representation with the state space or an input-output relationship; they will be able to analyze the dynamic characteristics, determining their behavior as a function of the inputs and initial conditions; they will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Through the introduction of the basic concepts concerning the analysis of linear time-invariant electrical circuits, with particular reference both to the problems of signal and information processing and to power electrical systems, the student will acquire understanding to avant-garde themes in the field of study, in relation to circuits and algorithms for the processing of information in industrial and ICT applications.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
At the end of the course, the student will be provided with a basic preparation that will allow the understanding of phenomena related to the production, transmission and use of electricity. She/he will therefore be able to apply the acquired knowledge in an appropriate way as well as to apply techniques and methods of analysis and solution within the field of study, with particular reference to the Information Engineering.

MAKING AUTONOMOUS JUDGEMENTS.
The course aims at providing the capability to analyze linear time-invariant electrical circuits, which is preliminary to face subsequent issues concerning the theory of linear and non-linear circuits, electronics and telecommunications. In this way, the student will collect and interpret the concepts provided in order to make judgments in an autonomous manner, especially for the continuation of her/his studies.

COMMUNICATE SKILLS.
The course illustrates the fundamental methods for the modeling and the analysis of linear time-invariant electrical circuits. Particular emphasis is given to the application aspects and those of intersection with the normal activities of an information engineer. Following this course, the student will be able to communicate the acquired information and the awareness of the existing problems to specialists and non-specialists in the world of work and research, in which she/he will develop her/his subsequent educational, scientific and professional activities.

LEARNING SKILLS.
The teaching methodology implemented in the course, based on the rigorous definition of the reference model, will require to face technical-scientific problems never seen before in a proactive way and with a solid and well-defined methodology, so as to be able to develop the necessary skills to undertake the subsequent studies with a high degree of autonomy. In particular, the use of analytic transformations (Laplace Transform and Fourier Transform) improves the comprehension of phenomena and the generalization capability.

Educational objectives

The course aims to provide the general knowledge of an electronic system intended
as an information processing system. For analog circuits the focus is on the concept of gain for the various types of
amplifiers, and on the application limits due to bandwidth, power and noise. For digital circuits we focus on the
fundamental logic gates and on the characteristics of robustness, processing speed and power consumption.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Students will be able to analyze simple electronic systems and to
identify their behavior even in the presence of capacitive elements. They will also be able to analyze the building
blocks of integrated analog circuits. Regarding digital systems, students will have the basic elements to design
simple digital systems at various levels of abstraction (gate and circuit) and to identify the implementation
technology best suited to the specific project case.
COMMUNICATE SKILLS. The oral exam checks the development of communication and organizational skills.
LEARNING SKILLS. The written test verifies the students' ability to extract from the reference texts the information
necessary to perform a particular problem of analysis or design of electronic circuits.

Educational objectives

The course of signal theory intends to provide the learner with the bases for
calculating the probabilities and the frequency analysis of certain and random signals,
together with their practical application in the context of filtering, numerical transmission and
analog modulation techniques.
Specific - Specifically, after passing the exam, the learner will have acquired the knowledge
and understanding of the aspects reported in the general part,
- including their application to the contexts of a telecommunications system.
- The learner will therefore have acquired the skills necessary for the frequency analysis of
certain and random signals, and their application in the field of digital base-band
transmission techniques and analog modulation techniques, becoming able to evaluate the
quality of a telecommunication system in terms of the relative signal to noise ratio, and of the
possible worsening introduced by the devices used and by the transmission medium
adopted.
- Passing the exam test attests the learner's achievement of critical skills and judgment
regarding the performance of a telecommunication system, and the development of the
examination paper allows to evaluate his ability to communicate what he has learned.
- Being a second year course, it makes use of the skills acquired in the context of the basic
teachings previously given, grafting on these a new common basis of skills that the
subsequent teachings can take advantage of. For this reason the contribution given by the
course to the learner's ability to continue the study in an autonomous way is considered
adequate

Educational objectives

The purpose of the course is to introduce the concepts of modeling and the main methods of study of dynamic systems oriented, with particular reference to the class of linear and stationary systems, continuous-time and discrete-time, as well as illustrating the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer both to the synthesis of continuous controllers, can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, and for direct route, starting from the exact representation of the league system.
The students, the exam, will have acquired sufficient knowledge with regard to the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), With particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) In the representation with the state space or an input-output relationship; They will be able to analyze the dynamic characteristics, determining the behavior as a function of the inputs and initial conditions; They will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system. Know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will choose, in function of the given problem, the available information and items specific, the best technique that allows to arrive at the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. In some cases they will refer to embodiments schemes, analog or digital, of implementation. They, also, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

Purpose of the course is the illustration of the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer to the synthesis of continuous controllers which can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, or by means of direct approaches, starting from the exact representation of the equivalent sampled system.
At the end of the couse the student will know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will be able to choose, in function of the given problem, the available information and items specific, the best technique that allows to obtain the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. Moreover, they, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

GENERAL OBJECTIVES
The course aims to teach 1. theoretical aspects, consisting of models and database languages, 2. project methodologies, which will allow the student, once they are acquired, to tackle concrete cases, 3. technologies, consistent in various software tools used in a combined way for the implementation of databases, by means of tools that are widespread in business practices.
At the end of the course the student will be able to interact with the recipient of a database application in order to correctly summarize the requirements and to develop the project first, then the application itself, choosing the most suitable tools.

SPECIFIC OBJECTIVES
KNOWLEDGE AND UNDERSTANDING.
The course aims to provide the student with the knowledge and understanding of the theoretical, methodological, technological tools that cover the various aspects useful for interacting with the environment of databases, with professional or scientific objectives.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Thanks to the course the student will be able to proceed with the definition, project and implementation of a data base that can be integrated with application components, using formalisms (during the project) and languages (in development) that constitute consolidated industrial standards.

MAKING AUTONOMOUS JUDGEMENTS.
Both the written test and the project work put the student in front of unforeseen situations that encourage the development of the ability to make decisions autonomously, both in the contents (the design object) and in the tools.

COMMUNICATION SKILLS.
The use of wide-spread representation standards determines the acquisition of a "language" to interact in any professional context. The project work requires on the one hand to interact and to take into account the needs of "clients" (true or presumed) of the database application, and on the other to defend the choices made during the discussion of the project work.

LEARNING SKILLS.
On one hand the course provides theoretical knowledge of a very general nature, on the other (in the context of project work) it requires developing practical experiences with multiple tools integrated with each other, in many cases having to look for the accompanying documentation on its own. This kind of experience, together with a solid basic culture in the sector, creates the best conditions for the independent development of further knowledge.

Educational objectives

FIRST, THE COURSE PROVIDES A DESCRIPTION OF THE FIRM FINANCIAL STATEMENT, SEEN AS A MODEL ABLE TO REPRESENT SOME IMPORTANT BUSINESS DYNAMICS. SECONDLY, THE COURSE PRESENTS SOME INTERPRETATIVE TOOLS THAT ALLOWS THE ANALYST TO ASSESS THE FINANCIAL SITUATION OF THE COMPANY BY TAKING INTO ACCOUNT THE INFORMATION CONTAINED IN THE FINANCIAL STATEMENT. FINALLY, IT INTRODUCES THE CONCEPT OF RATIONAL DECISION IN ECONOMICS, THE FUNDAMENTAL PRINCIPLES OF FINANCE AND THE METHODOLOGICAL TOOLS TO SET THE FINANCIAL EVALUATION OF THE INVESTMENT PROJECTS.

Educational objectives

Main emphasis on developing oral and written understanding skills in technical environments, beyond the level of competence that was acquired during the previous basic course.
Core vocabulary will be enhanced, in variety of engineering-related fields, suitably for people who are going to deal with production, planning, maintenance, purchasing, testing, lab work, prjoect work and quality/safety issues.

Educational objectives

The stage/thesis activity consists in the development of a personal project, under the quidance and guard of a faculty member.
The
work will help developng skills related to self-organization,
capability to work under guidance and in group, and capability to put in
practice what has been learnt during the study course or during the
initial period of work in for the stage/thesis.

Educational objectives

The final exam consists of the presentation of an essay related to the activities conducted during the stage/Thesis-Work.
The preparation for this exam make it necessary for the student to get skills related to the presentation of her/his work,and the capability to discuss and argue with an audience fully aware of the topics presented.

Educational objectives

Aim of this module is the achievement, by the students, of the basic means of Mathematical Analysis related to the study of functions of one real variable and their use for the solution of problems in Applied Mathematics, and in particular of Physical and Engineering problems. Special emphasis is devoted to qualitative study and approximate solution of these problems, by virtue of asymptotical techniques, Taylor polynomials etc.
Risultati di apprendimento attesi (Inglese): Successful students will be able to study the behavior of numerical sequences and series; to sketch the complete graph of a function of one variable; to develop the Taylor (or MacLaurin) polynomials of functions of one variable; to study the asymptotical behavior of a function when the independent variable approaches infinity or singularities or zeros; to solve optimization problems in one variable, on bounded and unbounded intervals; to solve definite, indefinite and improper integrals; to solve some kinds of ordinary differential equations, characterizing several Physics and Engineering problems.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Analysis of functions of one variable; in particular: the differentiation and integration of function of one variable; numerical sequences and series, complex numbers; asymptotical expansions; Ordinary Differential Equations.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to apply the aforementioned tools mainly to the study of the Analysis 2 and of Physics and Engineering problems, with the aim of solving Ordinary Diferential Equations, studying graphs of functions and their asymptotic behaviour, solving derivatives and indefinite, definite and improper integrals, problems in the field of complex numbers.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given Physics or Engineering problem, the best methodology, through the deep understanding of the requirements and constraints of the context.

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the importance of the tools studied in the course, with the aim of applying them to Physics and Engineering problems; for example, the application of the complex exponential to the styudy of waves and signals, the solution of derivatives and integrals, the study of the asymptotic behavoiur of physical phenomena.

LEARNING SKILLS.
The student will develop the capability to autonomously study the theoretical topics characterizing the course and their application to the study of Mathematical Analysis 2 and of practical problems in Physycs and Engineering.

Educational objectives

Basics in linear algebra and geometry. Linear systems and their geometrical interpretation for 2 or 3 unknowns.
Familiarity with rigorous reasoning, with numerical and symbolic calculus, with the analysis of problems using an optimal strategy.
Familiarity with vectors and matrices, and with geometrical entities in 2 or 3 dimensions in
connection with equations of degree 1 or 2.
Understanding of linear applications and, in particular, of diagonalization.
Expected learning outcomes:
I expect constant learning as the course goes on; learning will be increased by tutorials and tests.
Little difficulties can be solved also by an email contact.
Although the beginning may be difficult, mostly due to faults in the mathematical background, after the first impact - in several cases after the first or second written examination - one expects a neat improvement.

Educational objectives

This course provides an introduction to telecommunication networks with specific attention to computer networking.
It presents the basic concepts, protocols and architectures of telecommunication networks; main topics covered are: layered models, network services, inter-networking and their implementation in main network's types like Internet, Ethernet and wireless LANs.
The student will learn the principles about telecommunications networks and know how to apply both to theoretical simple cases and to some of the actual implementations of data networks.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Communication Networks. The students will learn how a communication network works and how to analyze its performance.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to use and configure the network devices. It will also learn how to evaluate the network performance and how to choose the main design parameters.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given application context, the best communication paradigm (client-server app, transport protocol, switching paradigm, transmission technology).

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the concepts of TCP/IP stack, explaining the relations that exist between different layers and the main services that these provide.

LEARNING SKILLS.
The student will develop the capability to autonomously study, network design skill, and it will develop the ability to evaluate the network performance.

Educational objectives

In the course of Physics I the fundamental principles are explained and discussed
of classical physics concerning: Mechanics and Thermodynamics of bodies / systems. The student is introduced to the use of the scientific method up to the necessary modeling and to the resolution of problems of daily interest.
At the end of the course the student will have to:
1) know and know how to apply the laws and basic principles of mechanics and classical thermodynamics.
2) be able to analyze a problem concerning the mechanics and thermodynamics of a system so as to be able to determine its evolution.
3) have acquired skills in the approach and resolution of problems of any kind.

Educational objectives

The student will be able to study and use
- curves and surfaces
- partial derivatives and directional functions of several variables
- two-dimensional and three-dimensional domains,
- curvilinear coordinates (polar, spherical, cylindrical),
- multiple integrals, surface integrals and line integrals of functions,
- exactness of differential forms and their potentials,
- line integrals over simple and closed circuits,
- differential operators, flows, Divergence Theorem and Stokes’ Theorem,
- power series, Taylor series, Fourier series.
SPECIFIC OBJECTIVES

KNOWLEDGE AND UNDERSTANDING.
The course will allow an in-depth comprehension of the fundamental concepts and tools of the Analysis of functions of several variables; in particular: the differentiation and integration of function of several variables; curves and surfaces; differential opertators: gradient, divergence, curl, laplacian; sequences and series of functions, with particular attention on Taylor and Fourier series.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Through this course students will be able to apply the aforementioned tools mainly to Physics and Engineering problems: partial differential equations, vector fields, centers of mass, moments of inertia, work and potentials, conservative and non-conservative forces, Gauss Theorem, Stokes Theorem, Maxwell Equations.

MAKING AUTONOMOUS JUDGEMENTS.
After the course, students will be able to choose, for a given Physics or Engineering problem, the best methodology, through the deep understanding of the requirements and constraints of the context.

COMMUNICATE SKILLS.
At the end of the course the students will be able to illustrate the importance of the tools studied in the course, with the aim of applying them to Physics and Engineering problems, such as the signal reconstruction, the study of typical problems in Fluidodymìnamics, Electromagnetism, Hydrodynamics and in general problems which imply the use of the differential and integral calculus for functions of several variables.

LEARNING SKILLS.
The student will develop the capability to autonomously study the theoretical topics characterizing the course and their application to practical problems in Physycs and Engineering.

Educational objectives

Obiettivi generali:

Basic knowledge about the architecture and organization of a computer.
Development of skills on the definition of algorithms to solve problems.
Foundations of programming, using C as reference language.
Familiarity with the definition and use of data structures, both elementary (such as arrays) and more complex (such as data tables, linked lists and binary trees).
Capability to apply the above mentioned knowledge to solve problems of low and medium complexity, entailing the selection and definition of suitable algorithms and the implementation of small-medium size software systems.

Obiettivi specifici:

Knowledge and understanding:
Knowledge about the structured programming methodology.
Programming and problem solving skills, involving the definition and implementation of data structures/programs suitable to solve problems.
Knowledge about notable algorithms, and skilled selection of the best suited algorithm for a problem.
Technical skills in the management of program modules, data structures of progressive complexity (from static defined data structures to dynamically managed data structures).
Visualization and comprehension of the principles on which a computer run programs.

Applying knowledge and understanding:
Use of programming environments to implement programs.
Definition of algorithms and modularized programs to solve a problem.
Skills related to the design and implementation of small/medium software systems.
Skills related to the comprehension of the execution of a program, to be applied in program testing activity.

Making judgements:
Being able to assess the correctness and appropriateness of a function or a program built by modules.
These skills are developed during the autonomous in-depth analysis fostered by the learning materials, and during the lab activities.
These skills are deepened with the production, description, and discussion with the teacher, of homework.

Communication:
Being able to describe and share the lines of design and implementation of a program, explaining the decisions taken about the representation in the program of relevant data of the problem.
The homework duties require to provide the teacher with a short description of the solution, so to put on trial the communication capabilities of the student.

Learning skills:
Structured programming is explained and described as a step toward further advanced programming methodologies, to foster awareness that there is more to see and one should not settle on what was learned so far.
The activities fostered by the course, such as the autonomous in depth analysis, and the design and implementation of small and less small programs, as requested by the homework, allow to develop such comprehension and trains the student to do her/his own update, in this area, autonomously in the future.

Educational objectives

Give students the essential linguistic competences needed to deal with
written scientific communication

Educational objectives

To supply the fundamental principles of classic electromagnetism and of
wave phenomena in vacuum and in matter, stressing the experimental
character of the subjects. To teach how to solve by reasoning simple
problems on the above subjects.The student must understand the phenomena related with classic
electromagnetism and with wave propagation. He must realize which
physics lows are obtained from experiments and which from mathematical
deduction. He must also learn how to apply the subjects studied to the
solution of simple problems.

Educational objectives

The aim of the course is to provide some basic concepts of Probability, which are the basis of logical-mathematical reasoning in situations of uncertainty and randomness, characterized by incomplete information. The student is encouraged to develop those critical skills that allow them to deal with new problems as well as routine problems, learning to model different phenomena in terms of "events" and "random variables". In particular, students must master some basic concepts related to probability calculation, combinatorics, discrete and continuous probability distributions. This knowledge will allow to study the random signals during the second part of the course.

Educational objectives

The course gives an introduction on the basic tools for mathematical modeling and solving decision and optimization problems using quantitative methods. At the end of the course, students should be able to recognize such problems, build mathematical models for them, and solve them using a number of modeling techniques and solution algorithms, also by means of specific software tools.

Expected learning outcomes (Dublin Descriptors):

1. Understand all basic mathematical aspects of solving linear, linear integer, and nonlinear convex optimization problems. Understand main modeling techniques in mathematical programming.

2. Be able to develop an optimization model from a decision problem with quantitative data. Be able to select and use suitable software to solve such model.

3. Be able to identify weaknesses of optimization models and limits of numerical solvers (students develop these abilities also during any practical test of the course when they practically solve relevant decision problems).

4. Be able to describe any aspect of a mathematical program and of the main algorithms for the solution of linear, linear integer, and nonlinear programs (students develop these abilities also during any practical test of the course when they practically solve relevant decision problems by working in groups).

5. Get mathematical basis to self-study solution techniques for complex mathematical programs such as nonconvex and multi-objective programming.

Educational objectives

The purpose of the course is to introduce the concepts of modeling and the main methods of study of dynamic systems oriented, with particular reference to the class of linear and stationary systems, continuous-time and discrete-time, as well as illustrating the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer both to the synthesis of continuous controllers, can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, and for direct route, starting from the exact representation of the league system.
The students, the exam, will have acquired sufficient knowledge with regard to the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), With particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) In the representation with the state space or an input-output relationship; They will be able to analyze the dynamic characteristics, determining the behavior as a function of the inputs and initial conditions; They will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system. Know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will choose, in function of the given problem, the available information and items specific, the best technique that allows to arrive at the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. In some cases they will refer to embodiments schemes, analog or digital, of implementation. They, also, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

The purpose of the course is to introduce the concepts of mathematical modeling and the main methods for the study of dynamic systems, with particular reference to the class of linear and stationary systems, both continuous-time and discrete-time.
The students, at the end of the course, will have acquired sufficient knowledge about the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), with particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) in the representation with the state space or an input-output relationship; they will be able to analyze the dynamic characteristics, determining their behavior as a function of the inputs and initial conditions; they will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system.

Educational objectives

KNOWLEDGE AND UNDERSTANDING.
Through the introduction of the basic concepts concerning the analysis of linear time-invariant electrical circuits, with particular reference both to the problems of signal and information processing and to power electrical systems, the student will acquire understanding to avant-garde themes in the field of study, in relation to circuits and algorithms for the processing of information in industrial and ICT applications.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
At the end of the course, the student will be provided with a basic preparation that will allow the understanding of phenomena related to the production, transmission and use of electricity. She/he will therefore be able to apply the acquired knowledge in an appropriate way as well as to apply techniques and methods of analysis and solution within the field of study, with particular reference to the Information Engineering.

MAKING AUTONOMOUS JUDGEMENTS.
The course aims at providing the capability to analyze linear time-invariant electrical circuits, which is preliminary to face subsequent issues concerning the theory of linear and non-linear circuits, electronics and telecommunications. In this way, the student will collect and interpret the concepts provided in order to make judgments in an autonomous manner, especially for the continuation of her/his studies.

COMMUNICATE SKILLS.
The course illustrates the fundamental methods for the modeling and the analysis of linear time-invariant electrical circuits. Particular emphasis is given to the application aspects and those of intersection with the normal activities of an information engineer. Following this course, the student will be able to communicate the acquired information and the awareness of the existing problems to specialists and non-specialists in the world of work and research, in which she/he will develop her/his subsequent educational, scientific and professional activities.

LEARNING SKILLS.
The teaching methodology implemented in the course, based on the rigorous definition of the reference model, will require to face technical-scientific problems never seen before in a proactive way and with a solid and well-defined methodology, so as to be able to develop the necessary skills to undertake the subsequent studies with a high degree of autonomy. In particular, the use of analytic transformations (Laplace Transform and Fourier Transform) improves the comprehension of phenomena and the generalization capability.

Educational objectives

The course aims to provide the general knowledge of an electronic system intended
as an information processing system. For analog circuits the focus is on the concept of gain for the various types of
amplifiers, and on the application limits due to bandwidth, power and noise. For digital circuits we focus on the
fundamental logic gates and on the characteristics of robustness, processing speed and power consumption.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Students will be able to analyze simple electronic systems and to
identify their behavior even in the presence of capacitive elements. They will also be able to analyze the building
blocks of integrated analog circuits. Regarding digital systems, students will have the basic elements to design
simple digital systems at various levels of abstraction (gate and circuit) and to identify the implementation
technology best suited to the specific project case.
COMMUNICATE SKILLS. The oral exam checks the development of communication and organizational skills.
LEARNING SKILLS. The written test verifies the students' ability to extract from the reference texts the information
necessary to perform a particular problem of analysis or design of electronic circuits.

Educational objectives

FIRST, THE COURSE PROVIDES A DESCRIPTION OF THE FIRM FINANCIAL STATEMENT, SEEN AS A MODEL ABLE TO REPRESENT SOME IMPORTANT BUSINESS DYNAMICS. SECONDLY, THE COURSE PRESENTS SOME INTERPRETATIVE TOOLS THAT ALLOWS THE ANALYST TO ASSESS THE FINANCIAL SITUATION OF THE COMPANY BY TAKING INTO ACCOUNT THE INFORMATION CONTAINED IN THE FINANCIAL STATEMENT. FINALLY, IT INTRODUCES THE CONCEPT OF RATIONAL DECISION IN ECONOMICS, THE FUNDAMENTAL PRINCIPLES OF FINANCE AND THE METHODOLOGICAL TOOLS TO SET THE FINANCIAL EVALUATION OF THE INVESTMENT PROJECTS.

Educational objectives

The course of signal theory intends to provide the learner with the bases for
calculating the probabilities and the frequency analysis of certain and random signals,
together with their practical application in the context of filtering, numerical transmission and
analog modulation techniques.
Specific - Specifically, after passing the exam, the learner will have acquired the knowledge
and understanding of the aspects reported in the general part,
- including their application to the contexts of a telecommunications system.
- The learner will therefore have acquired the skills necessary for the frequency analysis of
certain and random signals, and their application in the field of digital base-band
transmission techniques and analog modulation techniques, becoming able to evaluate the
quality of a telecommunication system in terms of the relative signal to noise ratio, and of the
possible worsening introduced by the devices used and by the transmission medium
adopted.
- Passing the exam test attests the learner's achievement of critical skills and judgment
regarding the performance of a telecommunication system, and the development of the
examination paper allows to evaluate his ability to communicate what he has learned.
- Being a second year course, it makes use of the skills acquired in the context of the basic
teachings previously given, grafting on these a new common basis of skills that the
subsequent teachings can take advantage of. For this reason the contribution given by the
course to the learner's ability to continue the study in an autonomous way is considered
adequate

Educational objectives

The purpose of the course is to introduce the concepts of modeling and the main methods of study of dynamic systems oriented, with particular reference to the class of linear and stationary systems, continuous-time and discrete-time, as well as illustrating the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer both to the synthesis of continuous controllers, can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, and for direct route, starting from the exact representation of the league system.
The students, the exam, will have acquired sufficient knowledge with regard to the modeling of physical systems from different fields (electrical, mechanical, electronic, economic, environmental, management, etc.), With particular reference to linear cases and to linear approximation of nonlinear systems, their dynamic analysis, with characterization of the free and forced evolutions, the input-output relationships and the types of behavior, the structural properties for the analysis of input-state-output relations, stability. They will be able to derive the mathematical model of physical systems from different disciplines (electrical, mechanical, electronic, economic, environmental, management, etc.) In the representation with the state space or an input-output relationship; They will be able to analyze the dynamic characteristics, determining the behavior as a function of the inputs and initial conditions; They will study its stability; will be able to obtain information on the behavior of the system, make predictions, identify parameters, improving the knowledge of the modeled system. Know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will choose, in function of the given problem, the available information and items specific, the best technique that allows to arrive at the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. In some cases they will refer to embodiments schemes, analog or digital, of implementation. They, also, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

Purpose of the course is the illustration of the main synthesis techniques of linear control systems for dynamical systems of linear model or linearizable by approximation. The techniques introduced refer to the synthesis of continuous controllers which can be implemented by simple electronic or electro-mechanical architectures, in which numerical controllers obtained indirectly, namely by means of discrete approximation of continuous controllers, or by means of direct approaches, starting from the exact representation of the equivalent sampled system.
At the end of the couse the student will know the main synthesis techniques of linear control systems, continuous-time and discrete-time and will be able to choose, in function of the given problem, the available information and items specific, the best technique that allows to obtain the most efficient solution. They will also be able to prepare the block diagram of the controlled system by identifying the quantities to be measured. Moreover, they, will be able to: analyze specific for a control system; define the Controller pattern, the extent action control; design a controller, according to the appropriate procedure depending on the object and objectives; choose the time domain more appropriate for a more simple and effective implementation; perform numerical simulations to verify compliance with the requirements; identify the devices that can realize the synthesized controller.

Educational objectives

GENERAL OBJECTIVES
The course aims to teach 1. theoretical aspects, consisting of models and database languages, 2. project methodologies, which will allow the student, once they are acquired, to tackle concrete cases, 3. technologies, consistent in various software tools used in a combined way for the implementation of databases, by means of tools that are widespread in business practices.
At the end of the course the student will be able to interact with the recipient of a database application in order to correctly summarize the requirements and to develop the project first, then the application itself, choosing the most suitable tools.

SPECIFIC OBJECTIVES
KNOWLEDGE AND UNDERSTANDING.
The course aims to provide the student with the knowledge and understanding of the theoretical, methodological, technological tools that cover the various aspects useful for interacting with the environment of databases, with professional or scientific objectives.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Thanks to the course the student will be able to proceed with the definition, project and implementation of a data base that can be integrated with application components, using formalisms (during the project) and languages (in development) that constitute consolidated industrial standards.

MAKING AUTONOMOUS JUDGEMENTS.
Both the written test and the project work put the student in front of unforeseen situations that encourage the development of the ability to make decisions autonomously, both in the contents (the design object) and in the tools.

COMMUNICATION SKILLS.
The use of wide-spread representation standards determines the acquisition of a "language" to interact in any professional context. The project work requires on the one hand to interact and to take into account the needs of "clients" (true or presumed) of the database application, and on the other to defend the choices made during the discussion of the project work.

LEARNING SKILLS.
On one hand the course provides theoretical knowledge of a very general nature, on the other (in the context of project work) it requires developing practical experiences with multiple tools integrated with each other, in many cases having to look for the accompanying documentation on its own. This kind of experience, together with a solid basic culture in the sector, creates the best conditions for the independent development of further knowledge.

Educational objectives

The course gives theoretical basis and tools for mathematical modeling and solving decision and optimization problems using quantitative methods. At the end of the course, students should be able to recognize such problems, build mathematical models for them, and solve them using a number of modeling techniques and solution algorithms, also by means of specific software tools.

Expected learning outcomes (Dublin Descriptors):

1. Understand all basic mathematical aspects of solving constrained and unconstrained optimization problems. Understand main modeling techniques in mathematical programming.

2. Be able to develop an algorithm for solving optimization problems. Be able to select and use suitable software to solve such models.

3. Be able to identify weaknesses of optimization models and limits of numerical methods (students develop these abilities also during any practical test of the course when they practically implement algorithms for solving optimization problems).

4. Be able to describe any aspect of a mathematical program and of the main algorithms for the solution of constrained and unconstrained programs (students develop these abilities also during any practical test of the course when they practically solve relevant decision problems by working in groups).

5. Get mathematical basis to self-study solution techniques for complex mathematical programs such as nonconvex and multi-objective programming.

Educational objectives

Premise
Industrial plants are production systems characterized by a degree of complexity, tailored to the needs of a user (industrial company) in order to pursue economic goals.
Within an industrial plant, several technical components can be identified, essentially related to the production of industrial activities (production plants) and to the realization of all the services necessary for the operation of the plant (service facilities) .
Today's productive economic environment, in which industrial plants find use, requires some reflection in order to fully appreciate the needs of industrial companies and hence the role of the plant engineer.
In recent years, there have been significant economic and social changes, largely linked to the extraordinary technological progress that has characterized in particular the past of the last century and which have led to phenomena that have profoundly changed the markets. Among others, the following are particularly important and characterized by a sufficient degree of generality:
- the increase in the quantity and quality of information available to both suppliers and consumers;
- the expansion of markets, namely the so-called globalization;
- the increase in consumption;
- the enhancement of the quality of life.
These circumstances, in turn, have determined, from the point of view of the design and management of industrial plants:
- rationalization requirements;
- ability to satisfy ever more particular and changing needs;
- increase of competitiveness and competition;
- Increasing management needs compared with operating and executive requirements.
All this in a context that, due to the need to meet the new market perspectives and to renewed social and environmental sensitivity, is gradually becoming more interested in issues such as:
(A) Sustainable development (which in general terms translates into issues of rational use of energy, conservation / maintenance and security),
(B) the economic efficiency of production activities and
C) satisfaction of stakeholders (which translates into quality issues).

From a socio-economic point of view, the formation of new Political Entities (European Union) and of the new World Trade Organization (OCT) are also being formed. These include, inter alia, the definition of new rules aimed at homogenization Of technical and commercial behaviors:
- international voluntary standards on the management of productive activities;
- harmonized standards;
- directives of the "new approach".
Ultimately, processes such as European integration and, at a wider scale, globalization of markets, as well as creating new competitive conditions (all stakeholders), bring companies to more and more aggressive competitors, Coming from different economic realities. The tightening of business competition thus greatly enhances the importance of effectively combining customer satisfaction and cost containment, which can now be considered as the two core principles to be followed for the development of Any productive system economically and financially sound.

Educational goals
In view of the premise, the course of Industrial Plants aims to:
(A) provide basic knowledge of Industrial Facilities (identification, classification, description of the main elements);
B) provide elements related to the design and management of industrial plants

Educational objectives

The body presents an introductory overview of company management by analyzing the relationship between problems and decisions of the different functional areas of the enterprise (research and development, design, marketing and sales, production and logistics, human resources management, technological, informational and financial) and the ways in which the processes of planning (formulation of strategies for the business units and functions, budgeting, process management and operational activities) lead back to a coherent synthesis with business goals viewpoints that emerge in these areas.
The student must acquire qualitative analysis capabilities of the effects of the allocation of resources and expertise and position in the ability to compete on the market. It must also be able to use quantitatively methodologies and tools can budgeting and operational decisions.

Educational objectives

GENERAL OBJECTIVES
The course aims to provide the essential knowledge to understand the functioning of an operating system and therefore the possibility to exploit and control the underlying processing system in different contexts. In addition, concurrent programming and network processing are analyzed, both as a requirement and as an opportunity to achieve high performance.
At the end of the course the student will get a consiste awareness in using the processing system, making the best use of the available resources, knowing how to identify and eventually solve bottlenecks that limit performances.

SPECIFIC OBJECTIVES
KNOWLEDGE AND UNDERSTANDING.
The course aims to provide students with the knowledge and understanding of the operating system, and the possibilities of exploitation of the processing system, as well as the opportunities offered by concurrent and online processing. Further important skills that are acquired concern the main network protocols, and the practical knowledge of the Linux environment.

CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING.
Thanks to the course the student will be able to control the processing system through system programming techniques, devise solutions for the exploitation of high performance computing architectures, understand and use network architectures and protocols for application objectives. The optimization and resource management techniques constitute an important wealth of exploitable knowledge within IT applications.

MAKING AUTONOMOUS JUDGEMENTS.
The project work aims to urge the student to study original solutions for the variety of problems that arise in the processing systems that access the multiple resources available on the network.

COMMUNICATION SKILLS.
The discussion of the project work requires to defend the choices made during the discussion required as a test on the "Networks" section.

LEARNING SKILLS.
The course provides both basic knowledge (e.g., resource management strategies, "patterns" of competition problems), and practical knowledge of the problems and the main components of operating systems. Based on these skills, the student will be able to autonomously assimilate the specific features for competition and network programming in the most varied programming environments.

Educational objectives

Main emphasis on developing oral and written understanding skills in technical environments, beyond the level of competence that was acquired during the previous basic course.
Core vocabulary will be enhanced, in variety of engineering-related fields, suitably for people who are going to deal with production, planning, maintenance, purchasing, testing, lab work, prjoect work and quality/safety issues.

Educational objectives

The stage/thesis activity consists in the development of a personal project, under the quidance and guard of a faculty member.
The
work will help developng skills related to self-organization,
capability to work under guidance and in group, and capability to put in
practice what has been learnt during the study course or during the
initial period of work in for the stage/thesis.

Educational objectives

The final exam consists of the presentation of an essay related to the activities conducted during the stage/Thesis-Work.
The preparation for this exam make it necessary for the student to get skills related to the presentation of her/his work,and the capability to discuss and argue with an audience fully aware of the topics presented.