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Curriculum(s) for 2024 - Communication Engineering (29927)

Single curriculum

1st year

LessonSemesterCFULanguage
1017218 | MATHEMATICAL ANALYSIS I1st12ITA

Educational objectives

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

SPECIFIC

A) Knowledge and understanding: to know basic concepts and fundamental tools of the mathematical analysis and to be able to comprehend the reading of specific books.

B) Applying knowledge and understanding: to be able to use the acquired knowledge and understanding in solving simple problems of mathematical analysis with competence.

C) Making judgements: to single out the common features in different problems in order to develop autonomy in the study.

D) Communication skills: to relate about assumptions, problems and solutions peculiar of Mathematical Analysis I to wide audiences.

E) Learning skills: to acquire the competence that is necessary for the future courses, in particular for Mathematical Analysis II.

1017402 | GEOMETRY1st12ITA

Educational objectives

THE PRINCIPAL AIM OF THE COURSE IS TO GIVE TO THE STUDENTS THE BASIC NOTIONS OF LINEAR ALGEBRA (MATRICES, DETERMINANTS, SYSTEMS OF LINEAR EQUATIONS, VECTOR SPACES, LINEAR APPLICATIONS) AND OF ANALYTIC GEOMETRY IN DIMENSION TWO AND THREE (LINES AND PLANES, BRIEF INTRO TO CURVES AND SURFACES.) THE STUDENTS WILL BE EDUCATED TO TRANSLATE SIMPLE GEOMETRIC PROBLEMS IN ANALYTIC FORM AND TO INTERPRET THE ALGEBRAIC RESULTS.
AT THE END OF THE COURSE , THE SUCCESSFUL STUDENT
• WILL HAVE LEARNED THE METHODS, THE PROBLEMS, AND THE POSSIBLE APPLICATIONS OF GEOMETRY AND LINEAR ALGEBRA.
• WILL BE ABLE TO UNDERSTAND, TACKLE AND SOLVE SIMPLE PROBLEMS RELATED TO GEOMETRY AND LINEAR ALGEBRA..
• THROUGH WRITTEN ESSAYS AND POSSIBLE ORAL PRESENTATIONS HE/SHE WILL DEVELOP APPROPRIATE CAPACITY OF JUDGEMENT AND CRITICISM.
• AT THE SAME TIME HE/SHE WILL EXERCISE HIS/HER ABILITY TO PRESENT AND TRANSMIT WHAT HE/SHE HAS LEARNED.
• PERSONAL, INDIVIDUAL STUDY WILL TRAIN HIS/HER CAPACITY OF INDEPENDENT AND AUTONOMOUS LEARNING ACTIVITY.

AAF1101 | English language1st3ITA

Educational objectives

General goals:
The course includes the study of the English language applied to the enhancement of the technological,
electronic and telecommunications vocabulary. In addition to the teacher's explanations, the lessons will
also develop through classroom exercises and dialogic practice in the form of thematic discussions, for
which the active participation of students is expected.

Specific goals:
Grammar focus developped throughout the practical use and relative understanding of specialized texts
relating to topics such as:
 renewable and non-renewable energies;
 automation, robotics e domotics;
 telecommunications;
 a short history of computer and internet;
 computer: hardware and software;
 internet;
 virus, safety systems and encryption;
 where computers are used;
 the Fourth Industrial Revolution.

3

Knowledge and understanding:
The student will demonstrate a knowledge of the English language equal to level B2 of the Common
European Framework of Reference. To this aim, he/she will be exposed to passages in authentic language,
both written and oral through audio and video aids, to the practice of reading and translating.
Applying knowledge and understanding:
The student will be able to understand the main cores of texts on technical topics relating to electronics,
information technology and the world of computers. In particular, he/she will develop a double reading
ability, in relation to the type of text, and the information requested: skimming, rapid scrolling for a global
understanding; scanning, for the identification of specific information in the text. He/she will also develop
the specific translation skills of a technical text, from English into Italian.
The student will develop this ability through the knowledge of the scientific lexicon and the practice of
linguistic functions that are semantically consistent with the fields of electronics and computer science.

Critical and judgmental skills:
The student will have to demonstrate that he has acquired autonomy in sectorial critical judgment, the
ability to express opinions and to motivate choices. This ability will be acquired throughout dialogic practice
and peer comparison in the form of discussions about topics proposed in the lessons.

Communication skills:
The student will be able to communicate in a fluid way in English and to produce clear and correct texts,
using a vocabulary appropriate to the electronics and IT sectors. He/she will also demonstrate to have
acquired a correct pronunciation. To this aim, specialized texts will be read in the classroom by the teacher
and/or there will be listening via video and audio support.

Learning ability:
The students will have to show that they have developped oral and written learning skills in a constantly
evolving sector, and therefore to update their skills also in reference to new application scenarios.

1022050 | General physics I2nd12ITA

Educational objectives

The aim of the course is to bring the student to the comprehension of the meaning of the scientific method, through the description of the basic principles and physics laws in the nature. In particular the course, through the knowledge of classic mechanics and thermodynamics aims at providing the students the main tools necessary for the solution of problems of simple and intermediate complexity.
Students should be able to analyse problems concerning simple systems (material point) and more complex systems like the rigid body and the thermodynamic transformations. They should be able to apply the basic laws of physics, the general principles of conservation and their consequences. The level of comprehension is evaluated through a written and an oral examination.

SPECIFIC
• Knowledge and understanding: To handle concepts related to the mechanics of a single point mass, mechanics of the rigid bodies and thermodynamics.
• Applying knowledge and understanding: To apply the basic laws studied during the course including the general conservation principles and their consequences.
• Making judgements: To analyze problems of applied physics related to simple systems (kinematics and dynamics of a single point mass) and complex systems (Rigid bodies and thermodynamics).
• Communication skills: To present the results of experiments and of numerical calculations in written form. To expose the topics related to the course in an oral colloquium.
• Learning skills: To understand the written description of topics concerning mechanics and thermodynamics by means of the typical language used in such fields and to transfer the knowledge to the solution of practical problems in the engineering field.

1017401 | COMPUTER TECHNOLOGY2nd12ITA

Educational objectives

KNOWLEDGE AND UNDERSTANDING. The student will acquire knowledge of the structure and principles of operation of processing systems, with particular reference to systems based on Intel 32 and 64 bit platform.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. At the end of the course the student will be able to calculate the approximation errors deriving from the use of floating point numbers.
MAKING AUTONOMOUS JUDGEMENTS. At the end of the course the student will be able to evaluate the congruity of hardware architectural choices for processing systems.

COMMUNICATE SKILLS. The student will be able to explain his/her own design choices.

LEARNING SKILLS. The student will be able to address autonomously the study of topics in the field of discrete time and digital systems.

THREE-DIMENSIONAL MODELING

2nd year

LessonSemesterCFULanguage
1015376 | MATHEMATICAL ANALYSIS II1st9ITA

Educational objectives

ENG
GENERAL
Learning of basic theory of Mathematical Analysis II.
Ability to use theoretical results in exercises. To comprehend the reading of specific
books.
A) Knowledge and understanding: to know basic concepts and their use in exercises of mathematical analysis with the
support of
texts and lecture notes in Mathematical Analysis II.
B) Applying knowledge and understanding: to be able to use the acquired knowledge
and understanding in solving problems of mathematical analysis II and to communicate the arguments.
C) Making judgements: to be able to collect and understand exercises results to solve similar problems in an
autonomous context.
D) Communication skills: to relate about assumptions, problems and solutions of Mathematical Analysis II to wide
audiences.
E) Learning skills: to acquire the competence that is necessary for the future courses.

1022051 | General physics II1st12ITA

Educational objectives

Upon completion of the course the student will know the principles of electromagnetism, with particular reference to the concept of field, and to Maxwell's equations, and will have the basis for understanding electrical, magnetic, wave and optical phenomena. The student will be able to model and solve basic problems of electrostatics and magnetostatics and simple circuits in continuous currents. He will also be able to understand the basic principles of electromagnetic induction and the propagation of electromagnetic waves. During the course there are also some laboratory experiences on continuous and quasi-stationary current measurements and geometric optics. In the end the student will be able to use a digital multimeter and will have acquired the ability to process experimental data through the basic tools of statistics and measurement theory.

1021924 | Circuit theory1st6ITA

Educational objectives

Knowledge of the basis of circuit modeling and of the methods of analysis of electrical circuits and their generalizations
(magnetic circuits, computer simulators), with emphasis on the mathematical techniques (phasors, Laplace transform,

finite differences) and on the calculus of representations (external characterization theorems, transfer functions, two-
port networks, space-state models)

Specific:
▪ Knowledge and understanding: Knowledge in the fields of the representation and analysis of complex electrical
networks and of the main applications of the circuit theory.
▪ Applying knowledge and understanding: To be capable of analyzing complex electrical networks and their
generalizations in a competent and thoughtful way; to have the adequate expertise to solve similar problems
with the mathematical techniques developed in the course.
▪ Making judgements: To acquire the capability of gathering and understanding data for an autonomous
judgement (e.g., about the selection and the characterization of electrical devices).
▪ Communication skills: To be capable of communicating information and technical solutions to both specialist
and non-specialist people.
▪ Learning skills: To develop a knowledge level adequate of the methods to follow subsequent studies with a high
degree of autonomy.

1021955 | ELECTRONICS I2nd9ITA

Educational objectives

GENERAL
Module aims to introduce student: to bipolar and field effect technologies in order to realize state solid integrated circuits (ICs); to characterization of electronic devices and systems; to acquisition of analytical methods to resolve electronic circuit fundamentals.

SPECIFIC
• Knowledge and understanding: to know analytical methods for solving electronic circuits, in particular those specialized for telecommunication, and furthermore to know technology fundamental of solid-state electronics.
• Applying knowledge and understanding: to know how to apply methods of analysis and design for analog technology in a competent and critical fashion, by means of practical activity as software simulation by using of CAE software applications, and experimental measurements into the laboratory.
• Critical and judgmental skills: laboratory tests are carried out at the measuring benches on circuits made by the teacher and / or commercial, e.g. Analog System Lab PRO Kit from Texas Instruments. Computer simulation tests are carried out with the CAE PSPICE software application for analysis of electronic circuits.
• Communication skills: to be able to describe the circuit solutions adopted to solve signal processing problems: from power supply problems to adaptation, amplification, filtering problems and, in general, modification of the constitutive parameters. Communication skills are realized by addressing some fundamental themes with the request for active participation in solving problems, based on the knowledge acquired from previous lessons or courses already outdated.
• Learning skills: ability to continue successive studies concerning with more advanced electronic techniques.

1021941 | ELECTROMAGNETIC FIELDS2nd9ITA

Educational objectives

Knowledge of basic topics in the area of applied electromagnetics, including fundamentals of electromagnetics, electromagnetic waves and their propagation in free space and in waveguides, transmission-line models and radiation.
SPECIFIC
• Knowledge and understanding: Knowing and understanding fundamental equations and theorems of electromagnetics, plane waves and their reflection and refraction on a planar interface, transmission-line formalism, basics of guided waves and radiation in free space.
• Applying knowledge and understanding: capability of applying the theory to solve simple numerical problems the topics of the course.
• Making judgements: (none)
• Communication skills: being able to illustrate the topics of the course deriving the results from the fundamental equations, describing as well their physical significance and their importance in applications.
• Learning skills: capability of undertaking further studies in the area of applied electromagnetics, in particular on antennas, propagation and design of high-frequency components.

1032246 | Signal Theory2nd12ITA

Educational objectives

KNOWLEDGE AND UNDERSTANDING. At the end of the course, the students learns how to use signals to transmit information or to acquire information from unkown environments.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The students learns the fundamental applications of signal theory to telecommunications and remote sensing
MAKING AUTONOMOUS JUDGEMENTS. During the course, the students are constantly encouraged to develop their own autonomous judgment, by asking questions in each lesson and suggesting alternative textbooks.
COMMUNICATE SKILLS. The communication skills are taught through the examples given during the lessons and they are tested through the written exams.
LEARNING SKILLS. The students are taught how the information and communication technology (ICT) world is evolving to give them the opportunity to form their specific interests. They are encouraged to form their own autonomous judgment e to better understand what is the kind of work they may prefer to do once graduated.

THREE-DIMENSIONAL MODELING2nd3ITA

Educational objectives

KNOWLEDGE AND UNDERSTANDING. At the end of the course, the students learns how to use signals to transmit information or to acquire information from unkown environments.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The students learns the fundamental applications of signal theory to telecommunications and remote sensing
MAKING AUTONOMOUS JUDGEMENTS. During the course, the students are constantly encouraged to develop their own autonomous judgment, by asking questions in each lesson and suggesting alternative textbooks.
COMMUNICATE SKILLS. The communication skills are taught through the examples given during the lessons and they are tested through the written exams.
LEARNING SKILLS. The students are taught how the information and communication technology (ICT) world is evolving to give them the opportunity to form their specific interests. They are encouraged to form their own autonomous judgment e to better understand what is the kind of work they may prefer to do once graduated.

THREE-DIMENSIONAL MODELING2nd9ITA

Educational objectives

KNOWLEDGE AND UNDERSTANDING. At the end of the course, the students learns how to use signals to transmit information or to acquire information from unkown environments.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The students learns the fundamental applications of signal theory to telecommunications and remote sensing
MAKING AUTONOMOUS JUDGEMENTS. During the course, the students are constantly encouraged to develop their own autonomous judgment, by asking questions in each lesson and suggesting alternative textbooks.
COMMUNICATE SKILLS. The communication skills are taught through the examples given during the lessons and they are tested through the written exams.
LEARNING SKILLS. The students are taught how the information and communication technology (ICT) world is evolving to give them the opportunity to form their specific interests. They are encouraged to form their own autonomous judgment e to better understand what is the kind of work they may prefer to do once graduated.

3rd year

LessonSemesterCFULanguage
10616861 | TECNICHE WIRELESS1st6ITA

Educational objectives

GENERAL
The aim of the course is to introduce the conceptual and analytical tools necessary to understand the operation, evaluate the performance and define the main design parameters of wireless communication systems. Making use of multiple application examples in the field of telecommunications and sensors, the objective is to provide transversal knowledge and skills with respect to wireless systems of different nature, with particular reference to design issues and implementation choices for the corresponding transceiver equipment.

SPECIFIC
• Knowledge and understanding: demonstrate knowledge and ability to understand the functioning and main problems of wireless communication systems with particular reference to the transceiver equipment used.
• Applying knowledge and understanding: knowing how to use the tools acquired for the critical evaluation of performance and the definition of project parameters.
• Making judgements: knowing how to formulate critical judgments regarding alternative design solutions and, consequently, acquire the tools to make thoughtful choices.
• Communication skills: know how to communicate information, problems and solutions relating to wireless communication system equipment to specialist and non-specialist interlocutors.
• Learning skills: develop the skills necessary to undertake subsequent studies on wireless systems for telecommunications, radio-positioning and sensing with a high degree of autonomy.

1031984 | Fundamentals of communications1st9ITA

Educational objectives

Goal of this course is to describe the behaviour and evaluate the performance of the main components (e.g., functional blocks) constituting the analogue and digital communication systems and the packet-switched data networks.
Expected results
It is expected that the attending students will acquire the basic notions about architectures and related performance of both analogue and digital the TLC systems. A good underground of analogue and digital signal processing is demanded.
Required background
A good background on Signal Processing in the continuous-time and discrete-time domains is required.

AAF1474 | Laboratory of programming1st6ITA

Educational objectives

GENERAL
The course objective is to provide a general overview of the MATLAB language and environment. In addition to the description of the foundations of the MATLAB language, the constructs and commands made available for the manipulation of vectors and matrices, the creation of graphs and the symbolic evaluation, a particular emphasis will be focused on toolboxes of interest for the communication engineering. Some peculiar topics, such as the Fourier transform, modulation, statistical analysis of signals, multimedia signal elaboration (audio and images), filter design, and other specific applications, will be deeply analyzed. Finally, the Simulink framework will be used to simulate complex systems.

SPECIFIC
• Knowledge and understanding: to know the problems, methodologies and applications of programming in MATLAB environment.
• Applying knowledge and understanding: to develop independently simple simulative programs in MATLAB language.
• Making judgements: to develop adequate critical skills through practical activities in implementing peculiar simulative algorithms.
• Communication skills: to improve ability to critically expose the matters learned during the course.
• Learning skills: to improve autonomous and independent study capacity.

10593149 | FONDAMENTI DI COMUNICAZIONI OTTICHE2nd6ITA

Educational objectives

GENERAL
Knowledge: i) of the fundamentals of optical telecommunication networks, and historical perspective of the evolution of telecommunication systems; ii) of the basic physical principles of the devices used in optical telecommunication systems; iii) the fundamental concepts of the architecture of an optical telecommunication system; iv) of basic signal modulation techniques and performance evaluation of an optical telecommunication system.

SPECIFIC
• Knowledge and understanding: Knowledge of the evolution of optical telecommunication systems; the basic physical principles that govern the operation of optical devices, and the different architectures of optical telecommunication systems. Knowledge of the methods for evaluating the performance of optical telecommunication systems.
• Ability to apply knowledge and understanding: knowing how to apply the notions of physics and signal theory to the evaluation of the performance of optical devices and telecommunication systems, in a competent and critical way, in order to solve the communication needs of the different types of users.
• Autonomy of judgment: knowing how to evaluate the essential properties of a device and the architecture of an optical telecommunication system.
• Communication skills: being able to describe the solutions adopted to solve problems of transmission of optical signals through a written paper and an oral interview.
• Learning skills: ability to learn from multiple sources of information, and to continue any subsequent studies, e.g. master's degree, concerning signal processing and transmission issues.

1021774 | Digital Signal Processing2nd6ITA

Educational objectives

GENERALI
Conoscenza dei metodi di rappresentazione e dei fondamenti dell’elaborazione di segnali numerici. Maturazione di una visione più completa su alcuni specifici aspetti applicativi, quali campionamento e ricostruzione di segnali e filtraggio numerico.
SPECIFICI
• Conoscenza e capacità di comprensione: conoscere i metodi di rappresentazione e i fondamenti dell’elaborazione di segnali numerici.
• Capacità di applicare conoscenza e comprensione: saper applicare tecniche e procedure di elaborazione di segnali numerici in modo competente e critico.
• Autonomia di giudizio: (assente)
• Abilità comunicative: saper descrivere le soluzioni adottate per risolvere problemi di elaborazione di segnali numerici.
• Capacità di apprendimento: capacità di proseguire gli studi successivi riguardanti tematiche avanzate di elaborazione di segnali, e.g. elaborazione statistica.

10589770 | INTERNET2nd6ITA

Educational objectives

The main objectives of the class are the following: knowledge on the classification of the telecommunication networks and services; skills in dimensioning of the physical resources in a TLC network; skills in identifying a communication architectures and a network service suitable to satisfy the Quality of Service requirements; knowledge on local area network; knowledge about the Internet network; skills in configuring an Internet network.
The exam consists in written, oral and laboratory tests allowing the evaluation of critical, judgment communication, study skills acquired by the student.

10600240 | FONDAMENTI DI MACHINE LEARNING2nd6ITA

Educational objectives

The course introduces the theory and design of machine learning algorithms, both in a supervised
context (k-nn, neural networks, support vector machines) and, in a smaller measure, in an
unsupervised context (k-means, gaussian mixture models, self-supervised learning).
Students will acquire familarity with a variety of practical machine learning algorithms in both
supervised and unsupervised scenarios, as long as a knowledge of the main prerequisites for their
understanding (linear algebra, probability, optimization). The course is paired with a few practical
laboratories where the students will learn how to implement all the techniques seen in class.

AAF1001 | FINAL EXAM2nd3ITA

Educational objectives

Final exam
The final exam consists of the preparation of a self-developed, regarding the matters of the degree course.
The dissertation is presented and discussed in front of a special degree Commission. It involves the acquisition of 3 credits. With this test are also coordinated the activities of art. 10, paragraph 5, letter d, with regard to computer skills and openness to the technical systems of Engineering Communications.

Elective course2nd12ITA
THREE-DIMENSIONAL MODELING

Optional groups

The student must acquire 6 CFU from the following exams
LessonYearSemesterCFULanguage
1021737 | Numerical Calculus1st2nd6ITA

Educational objectives

GENERAL The aim of the course is to teach to the students the knowledge and the understanding of the numerical tests, as well as the ability to apply knowledge and understanding to the real world.
SPECIFIC The student is request to have ability to making judgements and communication skills as regards to numerical tests and numerical results, developing learning skills.

GENERAL
• Making judgements.
• Communication skills.
• Learning skills: to apply these knowledge to the real world, implementing suitable algorithms and understanding the final results.

SPECIFIC: Furthermore, the student should also develop autonomy of judgment regarding numerical results, communication skills and autonomy in learning of any more complex problems.

• Knowledge and understanding:
• Applying knowledge and understanding:
• Making judgements:
• Communication skills:
• Learning skills:

10589493 | DISCRETE MATHEMATICS1st2nd6ENG

Educational objectives

THE COURSE AIMS TO GIVE STUDENTS AN INTRODUCTION TO DISCRETE MATHEMATICS, WHICH IS ONE OF THE MOST INNOVATIVE AREAS OF MATHEMATICS, DEVELOPED SINCE THE SECOND HALF OF THE TWENTIETH CENTURY, FULL OF CHALLENGING PROBLEMS AND EXTREMELY USEFUL FOR APPLICATIONS. DURING THE COURSE, STUDENTS WILL MEET WITH A NUMBER OF ISSUES AND PROBLEMS OF A TYPE COMPLETELY DIFFERENT FROM THOSE ENCOUNTERED IN OTHER TRADITIONAL MATHEMATICS COURSES, AND DEVELOP, THROUGH A SYSTEMATIC EFFORT AIMED AT “PROBLEM SOLVING”, A PRACTICAL APPROACH TO THE STUDY OF PROBLEMS OF GREAT EDUCATIONAL VALUE, ESPECIALLY FOR FUTURE CAREERS.
AT THE END OF THE COURSE , THE SUCCESSFUL STUDENT
• WILL HAVE LEARNED THE METHODS, THE PROBLEMS, AND THE POSSIBLE APPLICATIONS OF DISCRETE MATHEMATICS.
• WILL BE ABLE TO UNDERSTAND, TACKLE AND SOLVE SIMPLE PROBLEMS RELATED TO DISCRETTE MATHEMATICS.
• THROUGH WRITTEN ESSAYS AND POSSIBLE ORAL PRESENTATIONS HE/SHE WILL DEVELOP APPROPRIATE CAPACITY OF JUDGEMENT AND CRITICISM.
• AT THE SAME TIME HE/SHE WILL EXERCISE HIS/HER ABILITY TO PRESENT AND TRANSMIT WHAT HE/SHE HAS LEARNED.
• PERSONAL, INDIVIDUAL STUDY WILL TRAIN HIS/HER CAPACITY OF INDEPENDENT AND AUTONOMOUS LEARNING ACTIVITY.

10589433 | MATHEMATICAL METHODS FOR INFORMATION ENGINEERING1st2nd6ENG

Educational objectives

Learning of advanced knowledge of Mathematical Analysis
towards applications. Differential Calculus in several variables,
minima and maxima with constraints. Analysis of mathematical models.

A) Knowledge and understanding: to know basic concepts and their use in
exercises of mathematical analysis with the support of
texts and lecture notes in Mathematical Methods for Information Engineering.

B) Applying knowledge and understanding: to be able to use the acquired
knowledge and understanding in solving problems and to communicate the arguments.

C) Making judgements: to be able to collect and understand exercises
results to solve similar problems in in an autonomous context.
To single out common features in different problems

D) Communication skills: to relate about assumptions, problems and
solutions to wide audiences.

E) Learning skills: to acquire the competence that is necessary for advanced study.

The student must acquire 6 CFU from the following exams
LessonYearSemesterCFULanguage
1022157 | Fundamentals of Automatic Control3rd1st6ITA

Educational objectives

GENERAL

Knowledge of:

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

SPECIFIC
knowledge and understanding of basic modelling and control methodologies for linear dynamical systems with focus on frequency domain methods;

ability to define a mathematical model, to analyse the dynamics of linear systems, to design feedback control schemes for linear systems in the frequency domain, to translate specifications of the control problems in appropriate constraints for control design;

ability to evaluate and validate the designed controller also through simulation tools;

ability to illustrate the proposed solutions providing motivations in terms of satisfactions of specifications, accuracy of result and optimality properties.

ability to study advanced topics in linear and nonlinear control system theory.

1021747 | Circuits fo Multimedia3rd2nd6ITA

Educational objectives

The general goal of this course is to provide the methodologies to understand and to analyze
discrete time circuits, by the acquisition of fundamental mathematical tools and the
comparison with the knowledge acquired in the course of Circuit Theory.
SPECIFIC
• Knowledge and understanding: after this class, students will be able of analyzing
general architectures of discrete time circuits and to face simple problems of
synthesis.
• Applying knowledge and understanding: students will be able of applying learnt
methodologies to more general problems, typical of Electronics.
• Making judgements: students will be able of integrating acquired knowledge with
those given in the whole Laurea degree.
• Communication skills: students will be able of transmitting the acquired knowledge
and fully explaining the processes that lead to them.
• Learning skills: students will be able to manage their study in an autonomous way.

1021767 | BUSINESS ECONOMICS AND ORGANIZATION3rd2nd6ITA

Educational objectives

GENERAL OBJECTIVES OF THE COURSE
INTRODUCING THE BASIC ELEMENTS OF THE THEORY OF THE FIRM AND THE DEMAND ACCORDING TO THE NEOCLASSICAL APPROACH BASED ON THE MAXIMIZING BEHAVIOR OF THE AGENTS.
• SHOW HOW USING ECONOMETRIC TECHNIQUES IS POSSIBLE TO TEST EMPIRICALLY THE MAXIMIZING BEHAVIOR HYPOTHESIS.
• INTRODUCE ECONOMIC ANALYSIS FOR DECISIONS AND COMMUNICATION OF PERFORMANCE THROUGH THE BUDGET, THE ANALYSIS OF COSTS AND INVESTMENTS.
• OFFER A GLANCE OVERVIEW ON EFFICIENCY AND PRODUCTIVITY ANALYSIS, USEFUL TO ESTIMATE AND COMPARE THE INEFFICIENCY OF OPERATIONAL UNITS (BUSINESS UNITS, ENTERPRISES, SECTORS, COUNTRIES)

SPECIFIC
• KNOWLEDGE AND UNDERSTANDING: DEMONSTRATE KNOWLEDGE OF THE BASIC ELEMENTS OF THE ECONOMICS AND BUSINESS ORGANIZATION;
• ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: TO BE ABLE TO APPLY THE ECONOMIC REASONING LEARNED DURING THE COURSE, IN THEIR OWN ENGINEERING ENVIRONMENT;
• AUTONOMY OF JUDGMENT: KNOWING HOW TO ANALYSE THE ECONOMIC ASPECTS WITH A CRITICAL SPIRIT AND BEING ABLE TO APPLY THE ECONOMIC METHODS IN ONE'S OWN EDUCATIONAL CURRICULUM:
• COMMUNICATION SKILLS: KNOWING HOW TO COMMUNICATE THE CONTENTS LEARNED AND RELATED INFORMATION TO DIFFERENT TYPES OF AUDIENCE;
• LEARNING SKILLS: DEVELOP THE NECESSARY SKILLS TO BE ABLE TO DEEPEN THE CONCEPTS AND METHODS ANALYSED DURING THE COURSE INDEPENDENTLY AND IN THEIR OWN ENGINEERING ENVIRONMENT.