Study plan

STUDY PLAN

An individual study plan is submitted by students during the second year of the degree course, between the end of the first semester and the first month of the second semester, through the web application provided by the University.

In order to facilitate the procedure mentioned above and allow students to have comprehensive and well-balanced study plans (in line with the degree course learning outcomes), the Area Board arranges an adequate organisation to support students; in particular, a “study plan” committee is appointed by the Board, to discuss with students the several possibilities available for their study plans and give them advice.

Study plans include:

- compulsory exams, common to all curricula,

- key exams (area-specific: depending on the curriculum students choose),

- 2 elective exams (selected by students among those available).

Study plans have to be coherent with the degree course learning outcomes, so as to enhance students’ future academic and professional career. For this reason, the task of the Information Engineering Area Educational Board is to check and approve or reject the study plans submitted by students.

If an exam is not included in the student’s study plan, the student cannot sit for that exam.

If the individual study plan is defined by following the Area Educational Board’s suggestions, usually it is automatically accepted.

If students wish to submit a different study plan, it is useful to discuss it in advance with the contact lecturer for students’ guidance (list provided at the end of this document). In this case, when submitting their study plan, students should indicate in the final remarks when it was discussed with the contact lecturer.

Students can discuss all aspects of their study plan with the contact lecturer for students’ guidance or the study plan coordinator before submitting it.

Bachelors Degree in Information Engineering

Study Plan Coordinator

Prof. Marco Temperini

Email marte@dis.uniroma1.it

Office hours: see http://www.dis.uniroma1.it/~marte MESSAGES/COMMUNICATIONS area

Contact lecturers:

- prof. Giuseppe Catalano (catalano@diag.uniroma1.it), for the curriculum in Computer/Management Engineering and students choosing Management Engineering;

- prof. Alessandro Falaschi (alef@infocom.uniroma1.it) for the curriculum in Electronic/Telecommunications Engineering and students choosing Telecommunications Enginnering;

- prof. Marco Temperini (marte@dis.uniroma1.it), for the curriculum in Computer Engineering or Computer/Management Engineering and students choosing Computer Engineering;

- prof. Giuseppe Scotti (scotti@die.uniroma1.it) for the curriculum in Electronic/Telecommunications Engineering and students choosing Electronic Engineering

Elettronica - Telecomunicazioni (percorso valido per il conseguimento del doppio titolo italo-francese o italo-venezuelano)

First year

Orientamento unico
Course		Semester	CFU	SSD
1015374 - MATHEMATICAL ANALYSIS I	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.	First semester	9	MAT/05
1015375 - GEOMETRY	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.	First semester	9	MAT/03
AAF1101 - English language	Give students the essential linguistic competences needed to deal with written scientific communication	First semester	3
1035370 - Programming techniques	Having developed knowledge on basic on computer programming, with C as reference language. Being able to select and code a correct algorithm for the given problem (limited to a bouquet of basic algorithms). Being able to define and use elementary data structures, such as the array. Being able to define and use non-elementary data structures, such as collections implemented through array and records, linked lists, and binary trees. Being able to apply the above knowledge, on the solution of medium-complexity problems, entailing the definition of suitable algorithms, and the implementation in small-medium-sized software systems.	Second semester	9	ING-INF/05
1008745 - TELECOMMUNICATIONS NETWORKS	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.	Second semester	6	ING-INF/03
1017999 - GENERAL PHYSICS II	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.	Second semester	9	FIS/01
1015376 - MATHEMATICAL ANALYSIS II	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.	Second semester	9	MAT/05

Second year

Orientamento unico
Course		Semester	CFU	SSD
1019332 - GENERAL PHYSICS II	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.	First semester	9	FIS/01
1018706 - SOFTWARE DESIGN	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.	First semester	9	ING-INF/05
1041892 - Signal theory	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.	First semester	3
TEORIA DEI SEGNALI		First semester	3	MAT/06
1022909 - CIRCUIT THEORY I	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.	Second semester	6	ING-IND/31
1015384 - FUNDAMENTALS OF AUTOMATICS	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.	Second semester	9	ING-INF/04
1021955 - ELECTRONICS I	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.	Second semester	9	ING-INF/01
1022914 - NUMERICAL TRANSMISSION	After completing the course the student is able to analyze and design a digital transmission system in all its aspects as modulation , error control , and remote transmission , carried out through the radio transmission media , cable and optical fiber , also including aspects more General as multiplexing techniques , and the phenomena associated with mobile radio propagation , as well as theoretical aspects of information theory and traffic , and the realization inherent in cellular networks , WiFi and digital terrestrial .	Second semester	6	ING-INF/03
1041892 - Signal theory	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.	Second semester	9
TEORIA DEI SEGNALI		Second semester	9	ING-INF/03

Third year

Orientamento unico
Course		Semester	CFU	SSD
1022788 - COMPLEMENTARY COURSE IN IN ELECTRONICS	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.	First semester	6	ING-INF/01
1021941 - ELECTROMAGNETIC FIELDS	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.	First semester	9	ING-INF/02
- A SCELTA DELLO STUDENTE		Second semester	12
AAF1376 - English Advanced	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.	Second semester	3
AAF1001 - Final exam	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.	Second semester	3
AAF1050 - training	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.	Second semester	12
ELT-TLC		Go to group

Informatica - Gestionale (percorso valido per il conseguimento del doppio titolo italo-francese o italo-venezuelano)

First year

Orientamento unico
Course		Semester	CFU	SSD
1015374 - MATHEMATICAL ANALYSIS I	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.	First semester	9	MAT/05
1015375 - GEOMETRY	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.	First semester	9	MAT/03
AAF1101 - English language	Give students the essential linguistic competences needed to deal with written scientific communication	First semester	3
1008745 - TELECOMMUNICATIONS NETWORKS	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.	Second semester	6	ING-INF/03
1017999 - GENERAL PHYSICS II	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.	Second semester	9	FIS/01
1015376 - MATHEMATICAL ANALYSIS II	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.	Second semester	9	MAT/05
1035370 - Programming techniques	Having developed knowledge on basic on computer programming, with C as reference language. Being able to select and code a correct algorithm for the given problem (limited to a bouquet of basic algorithms). Being able to define and use elementary data structures, such as the array. Being able to define and use non-elementary data structures, such as collections implemented through array and records, linked lists, and binary trees. Being able to apply the above knowledge, on the solution of medium-complexity problems, entailing the definition of suitable algorithms, and the implementation in small-medium-sized software systems.	Second semester	9	ING-INF/05

Second year

Orientamento unico
Course		Semester	CFU	SSD
1018706 - SOFTWARE DESIGN	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.	First semester	9	ING-INF/05
1019332 - GENERAL PHYSICS II	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.	First semester	9	FIS/01
1041892 - Signal theory	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.	First semester	3
TEORIA DEI SEGNALI		First semester	3	MAT/06
1022760 - ALGORYTHMS AND DATA STRUCTURE	The course, through the study of algorithms and data structures, allows to acquire the ability to analyze problems and to design solutions that are algorithmically correct and efficient. The goal is to provide students with several useful techniques to analyze the performance of an algorithm and demonstrate its limitations and its complexity. During the course, algorithms for solving fundamental problems (such as sorting and selection), basic and advanced data structures, and algorithm-design methodologies will be presented.	First semester	6	ING-INF/05
1022909 - CIRCUIT THEORY I	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.	Second semester	6	ING-IND/31
1015384 - FUNDAMENTALS OF AUTOMATICS	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.	Second semester	9	ING-INF/04
1021955 - ELECTRONICS I	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.	Second semester	9	ING-INF/01
1041892 - Signal theory	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.	Second semester	9
TEORIA DEI SEGNALI		Second semester	9	ING-INF/03
1001984 - BUSINESS ECONOMICS AND ORGANIZATION	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.	Second semester	6	ING-IND/35

Third year

Orientamento unico
Course		Semester	CFU	SSD
1052231 - Databases	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.	First semester	9	ING-INF/05
- A SCELTA DELLO STUDENTE		Second semester	12
AAF1376 - English Advanced	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.	Second semester	3
AAF1050 - training	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.	Second semester	12
AAF1001 - Final exam	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.	Second semester	3
INF-GES		Go to group

Optional Groups

**ELT-TLC: The student must acquire 21 CFU from the exams below**
Course		Year	Semester	CFU	SSD
1022910 - CIRCUIT THEORY II	KNOWLEDGE AND UNDERSTANDING. Through the introduction of the basic concepts and properties concerning the modeling and the analysis of discrete-time linear time-invariant (DT-LTI) circuits, with particular reference to the problems of numerical signal elaboration and information processing, the student will acquire understanding to avant-garde themes in the field of study, in relation to circuits and algorithms for the numerical 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 modeling of DT-LTI circuits mainly for filtering of numerical signals. 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 and the basic elements to synthesize discrete-time linear time-invariant (DT-LTI) circuits, in particular FIR and IIR filters, which is preliminary to face subsequent issues concerning the field of the circuits for numerical elaboration of signals. 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 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 (Discrete Time Fourier Transform and Z-Transform) improves the comprehension of phenomena and the generalization capability.	Third year	First semester	6	ING-IND/31
1021844 - ELECTRIC MEASUREMENTS	The aim of the course is to illustrate the fundamentals of measurement science with particular reference to measurements of electrical quantities. The course introduces the theory of errors, the samples of the units of measurement, the principles of operation and the use of measurement equipment and the main methods of measurement. The concepts and methods for the interpretation of measurement data, the concepts of uncertainty and traceability of a measure are provided. The course includes experimental measurements whose objectives are the ability to choose tools, methods and measurement procedures according to the particular problem and the specifications imposed in the different applications and situations.	Third year	First semester	6	ING-INF/07
1022105 - LABORATORY OF ELECTRONICS	KNOWLEDGE AND UNDERSTANDING. The aim of this course is to provide the students with a practical counterpart to the basic courses of analog electronics, and to initiate them to the design of electronic circuits. In particular, the aims of the course are: - to teach the use of electronic circuits CAD simulation tools, with emphasis on basic principles, on the different analyses available, and on practical issues; - to allow the students to design simple analog electronic circuits from specifications to measurements on a prototype; - to allow the students to perform experiments on simple electronic circuits, to observe the behaviors studied in the theoretical courses, and to acquire familiarity with basic instrumentation. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. At the end of this course, the students will be able to use electronic circuits CAD simulation tools (in particular, OrCAD) and to design simple analog electronic circuits based on transistors and operational amplifiers. They will have acquired familiarity with basic laboratory instrumentation, and will be able to perform simple measurements on electronic circuits. MAKING AUTONOMOUS JUDGEMENTS. Capability of carrying out autonomously the design of a simple electronic circuit. COMMUNICATE SKILLS. Capability of document and discuss the design work in a clear, concise and exhaustive way. LEARNING SKILLS. Capability of using the acquired knowledge as a starting point to study the issues that come out during the autonomous design work	Third year	First semester	6	ING-INF/01
1022907 - REMOTE SENSING	GENERAL The course aims at providing to the students the knowledge of the working principles of systems for radar remote sensing and satellite radio-navigation and the capability to carry on analyses of such systems in terms of their main components by evaluating their performance using proper metrics. SPECIFIC • Knowledge and understanding: to know the principles and basic methodologies employed by radar remote sensing and radionavigation systems. • Applying knowledge and understanding: to know how to apply design strategies and processing techniques for radar and radionavigation systems in a competent and critical fashion. • Making judgements: (none) • Communication skills: to know how to describe the adopted procedures and obtained solutions in simple design or signal processing problems for radar and radionavigation systems. • Learning skills: ability to continue successive studies on advanced systems for radar remote sensing and radionavigation, even in an autonomous way.	Third year	First semester	6	ING-INF/03
1002027 - Operations research	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.	Third year	First semester	6	MAT/09
1035355 - Networks and operating systems	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.	Third year	First semester	9	ING-INF/05
1021956 - ELECTRONICS II	Attending “Elettronica II”, the student will learn to analyze and design analog electronic circuits and systems. The course also provides the required theoretical tools: feedback theory, stability and compensation, energy efficiency, dynamic range, noise. Besides, several circuit topologies are analyzed: voltage references, audio amplifiers, integrated amplifiers, analog-to-digital and digital-to-analog converters. Elements of integrated circuit design are included, explaining techniques such as fully differential or current-mode circuits.	Third year	Second semester	9	ING-INF/01
1035360 - Antennas	The course aims at introducing and explaining the fundamental parameters that characterize the electromagnetic behaviour of transmitting and receiving antennas, as well at presenting the performances and limits of the most common antennas. The course also provides guidance on the methods of analysis and the main design criteria of some classes of antennas.	Third year	Second semester	6	ING-INF/02
1022857 - INTERNET WORKSHOP	- Acquisition of skills required to understand the internal architecture of the Internet ( notions ) - Knowledge of the tools used to manage the network ( programs ) - Acquire dele skills to use networking tools in an operating system ( scripting languages ) - Acquisition of information of case studies drawn from operators ( scenarios ) - Development of the lab report (editing and writing) - Acquisition of compentenze to make a final presentation ( communication)	Third year	Second semester	9	ING-INF/03
1001984 - BUSINESS ECONOMICS AND ORGANIZATION	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.	Third year	Second semester	6	ING-IND/35
1023155 - THEORICAL INFORMATICS	The general training objectives: The course, of a theoretical nature, has as main objective the acquisition of the basic notions on automata and languages, and the development of the skills of formalization, abstraction, modeling of systems and analysis of complex problems. Knowledge and ability to understand The course aims to provide the basic knowledge of the theory of automata and languages, with particular attention to finite state automata seen as a mathematical description of the finished control of a program or, more generally, of a system discrete sequential, and to the Turing Machines, seen as a general model of computation. The study of these formalisms, cornerstones of all modern informatics, is essential for the understanding of concepts, results and fundamental concepts for an informatics, among which: the notions of algorithm or sequential procedure and the possibility of their abstract description through sequences, choices and cycles, the result of sequential programming; the existence of problems that can not be solved or problems that are "difficult" to solve, in terms of calculation resources, and therefore the need for their classification in complexity classes; the clear distinction between syntactic and semantic aspects and the notion of simulation and reduction, as an instrument of semantic comparison between formalisms or syntactically different problems. Knowledge and comprehension skills applied The course, even if fundamentally theoretical, has a significant applicative value. In particular, the theoretical bases learned make it possible to deal with numerous applicative problems in a mathematically clear and rigorous way: the applications of the theory of automata and of languages, in fact, range from the recognition of artificial and natural languages, through compile theory, to the pattern string matching, al description and verification of complex software and hardware systems (Model Checking), to game theory. Autonomy of judgment and communication skills The expected learning outcomes are linked to the ability to use the most appropriate formal tools in different application contexts, adequately motivating their choice. Ability to learn The formal concepts and tools presented in the course favor the individual deepening of one's own knowledge and the understanding of topics covered in other courses, such as the problems related to the specification, implementation and verification of systems. SPECIFIC OBJECTIVES: 1) knowledge and understanding of the logical and formal bases of calculability theory 2) ability to apply basic knowledge on calculation models: automata, languages. 3) skills related to the comparison between the different models and their applicability to programming 4) ability to communicate and transmit the contents of theoretical computer science by inserting them into the foundation of an information technology theory. 5) critical skills that allow to compare in a laboratory form the various applications of the classification of problems with respect to their complexity (classes P / np / np-HARD)	Third year	Second semester	6	ING-INF/05

**INF-GES: The student must acquire N.A CFU from the exams below**
Course		Year	Semester	CFU	SSD
1002027 - Operations research	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.	Third year	First semester	6	MAT/09
1022833 - FUNDAMENTALS OF ELECTROMAGNETIC CAMP	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. Written reports will be compiled. Communicate skills. 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.	Third year	First semester	6	ING-INF/02
1022910 - CIRCUIT THEORY II	KNOWLEDGE AND UNDERSTANDING. Through the introduction of the basic concepts and properties concerning the modeling and the analysis of discrete-time linear time-invariant (DT-LTI) circuits, with particular reference to the problems of numerical signal elaboration and information processing, the student will acquire understanding to avant-garde themes in the field of study, in relation to circuits and algorithms for the numerical 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 modeling of DT-LTI circuits mainly for filtering of numerical signals. 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 and the basic elements to synthesize discrete-time linear time-invariant (DT-LTI) circuits, in particular FIR and IIR filters, which is preliminary to face subsequent issues concerning the field of the circuits for numerical elaboration of signals. 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 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 (Discrete Time Fourier Transform and Z-Transform) improves the comprehension of phenomena and the generalization capability.	Third year	First semester	6	ING-IND/31
1035355 - Networks and operating systems	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.	Third year	First semester	9	ING-INF/05
1018705 - LANGUAGES FOR THE WEB	1) Foundational concepts on the presentation of web resources, development of web applications, representation and management of data for a web application, based on database and XML technology. 2) Practice, through individual and group activity, and in particular through the development of a project ranging over the design and implementation of a non trivial web application.	Third year	Second semester	6	ING-INF/05
1022770 - ARCHITECTURE OF ELECTRONIC CALCULATORS	The course aims to present an introduction to the hardware and software of a computer architecture. Among the main contents we can list: design and analysis of combinatorial networks, sequential digital electronic systems, finite-state automata, hardware organization and assembly programming, computer structure, instruction set, interruption systems, pipeline architectures, hierarchies of memory. Expected learning outcomes: At the end of the course students are required to know: how to create an Hamming code to recognize and correct errors on a bit string, to realize a combinational circuit, to realize a finite automaton or sequence recognizer, to discuss advantages and disadvantages of different processing architectures.	Third year	Second semester	6	ING-INF/05
1041893 - Complements of management engineering	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.	Third year	Second semester	6	ING-IND/35
1022914 - NUMERICAL TRANSMISSION	After completing the course the student is able to analyze and design a digital transmission system in all its aspects as modulation , error control , and remote transmission , carried out through the radio transmission media , cable and optical fiber , also including aspects more General as multiplexing techniques , and the phenomena associated with mobile radio propagation , as well as theoretical aspects of information theory and traffic , and the realization inherent in cellular networks , WiFi and digital terrestrial .	Third year	Second semester	6	ING-INF/03
1023155 - THEORICAL INFORMATICS	The general training objectives: The course, of a theoretical nature, has as main objective the acquisition of the basic notions on automata and languages, and the development of the skills of formalization, abstraction, modeling of systems and analysis of complex problems. Knowledge and ability to understand The course aims to provide the basic knowledge of the theory of automata and languages, with particular attention to finite state automata seen as a mathematical description of the finished control of a program or, more generally, of a system discrete sequential, and to the Turing Machines, seen as a general model of computation. The study of these formalisms, cornerstones of all modern informatics, is essential for the understanding of concepts, results and fundamental concepts for an informatics, among which: the notions of algorithm or sequential procedure and the possibility of their abstract description through sequences, choices and cycles, the result of sequential programming; the existence of problems that can not be solved or problems that are "difficult" to solve, in terms of calculation resources, and therefore the need for their classification in complexity classes; the clear distinction between syntactic and semantic aspects and the notion of simulation and reduction, as an instrument of semantic comparison between formalisms or syntactically different problems. Knowledge and comprehension skills applied The course, even if fundamentally theoretical, has a significant applicative value. In particular, the theoretical bases learned make it possible to deal with numerous applicative problems in a mathematically clear and rigorous way: the applications of the theory of automata and of languages, in fact, range from the recognition of artificial and natural languages, through compile theory, to the pattern string matching, al description and verification of complex software and hardware systems (Model Checking), to game theory. Autonomy of judgment and communication skills The expected learning outcomes are linked to the ability to use the most appropriate formal tools in different application contexts, adequately motivating their choice. Ability to learn The formal concepts and tools presented in the course favor the individual deepening of one's own knowledge and the understanding of topics covered in other courses, such as the problems related to the specification, implementation and verification of systems. SPECIFIC OBJECTIVES: 1) knowledge and understanding of the logical and formal bases of calculability theory 2) ability to apply basic knowledge on calculation models: automata, languages. 3) skills related to the comparison between the different models and their applicability to programming 4) ability to communicate and transmit the contents of theoretical computer science by inserting them into the foundation of an information technology theory. 5) critical skills that allow to compare in a laboratory form the various applications of the classification of problems with respect to their complexity (classes P / np / np-HARD)	Third year	Second semester	6	ING-INF/05

Programme Regulations

Programme Regulations and General Regulations for sapienza Students, Degree programme in Information Engineering – Campus of Latina Class L8 - Information Engineering (M.D. 270) Academic system 2018/2019 Activated years: I, II, III

Specific learning outcomes

The degree programme aims at providing students with a wide knowledge in the field of computer, electronic, telecommunications, and management systems of information Engineering. Such knowledge, starting from the theoretical and scientific aspects of foundational sciences such as Mathematics and Physics, lead students to interpret, describe and solve complex applicative problems requiring and interdisciplinary approach. Information Engineers have both a methodological and practical knowledge, which means that they possess the basic cognitive tools for an ongoing updating and are able to contribute to the design of innovative solutions and to assess and solve problems related to the setting up and management of electronic, computer and telecommunications systems.

The study plan is designed so as to equip students with a solid and wide basic knowledge and a steady preparation allowed for by the key courses, to then enrich the study track through specialised topics. These are usually dealt with from the second half of the second year and represent the completion of the study plan chosen among those available. As far as the study plan is concerned, it is useful to emphasize that particular importance is given to the carrying out of practical activities and/or projects.

Required knowledge for admission, additional learning requirements and credit recognition

For the academic year 2018-2019, enrolment in the Degree programme in Information Engineering, in addition to possession of the Upper secondary Education diplomas mentioned above, is subject to the online “TOLC-E” admission test, computer-administered, and managed by the “CISIA” (Inter-university Consortium for Integrated Admission Systems). To this purpose, the Faculty of Information Engineering, Informatics and Statistics will issue an ad-hoc call for applications, detailing the procedures to take the test. The call for applications will be available on the University website.

In case students fail to pass the admission test, according to the terms and conditions outlined in the call for applications, students can be accepted with additional learning requirements they can fulfil during their first year of the degree course.

Credits will be recognised for knowledge and professional skills that have been certified in compliance with the current regulations, as well as other experiences acquired in a context of post-secondary learning activities, which were planned and carried out in collaboration with the University. The maximum number of university credits is 12. Through its lecturers, the Area Educational Board is in charge of assessing the knowledge and professional skills mentioned above. Such assessment is usually performed by examining the documents submitted by the student. The Area Educational Board will examine applications in accordance with current regulations and in order to ensure that the study plans chosen by students are coherent with the obtainment of the degree.

Study plan description

The Degree programme aims at developing and fine-tuning theoretical and practical skills, enabling a prompt integration into particularly meaningful working contexts, or into Masters degree programmes in specialised sectors of Information Engineering. The design of the pathway is the following:

- In a first phase, approximately corresponding to the first two years of the degree programme, students attend courses which are common to all study plans, designed so as to guarantee the learning of concepts and methodologies of Fundamental Sciences and Information Engineering topics.

This phase aims at favouring the exploration of scientific culture, covering the fundamentals in automatic, elctronic, computer and telecommunications engineering.

- In a second phase, the study plan leads to related subjects and in-depth study of the key topics of Information Engineering mentioned above.

- Experimental activities and projects are carried out in laboratories or other facilities (for example through individual or group activities) and are periodically monitored by a lecturer.

- students’ testing and designing skills will be the grounds underpinning internship activities, thesis and the final exam. Internships and theses can be done in the university context, under the guidance of a lecturer who acts as supervisor, or outside the university, under the supervision of a local/corporate tutor and a lecturer acting as coordinator.

All students in this degree programme will take a language test, chosen among English, French, Spanish and German. This language test, performed through a written and/or oral exam, corresponds to 3 credits.

The degree course also includes an Honours programme aiming at giving value to the education/training of meritorious students who are interested in activities of in-depth studies and cultural integration. The honours programme consists of additional learning activities, in addition to the degree courses students attend. The whole set of these activities does not give way to recognition of credits that can be used to obtain the academic degrees of Sapienza University. Students can apply to be admitted to the honours programme at the end of the first year of the degree programme, and they have to hold the minimum specific requisites required for it. A tutor will be assigned to each student. Terms and conditions for admission and the honours programme activities are indicated on the degree course website. Upon graduation, those students who also completed the honours programme will receive a certificate issued by the Dean’s office of the Faculty of Information Engineering, Computer Science and Statistics.

Degree programme Curricula

The degree programme offers two curricula: the first one in Electronic- Telecommunications Engineering; the second one in Computer-Management Engineering. Each one of the two is structured in such a way so as to direct the student towards one of the Engineering sectors.

The curriculum-related degree courses begin in the second year of the degree programme and specifically mark the third year. Each curriculum allows students to complete their degree programme in a well-balanced way, with the due focus on one of the main sectors of Information Engineering. The study plan of Information Engineering focusing on Electronics can be considered to equate the Bachelors Degree programme in Electronic Engineering delivered by the Faculty in the Rome Campus, both from an educational point of view and for its being a stepping stone into the Masters degree in Electronic Engineering. The Information Engineering study plan focusing on Management Engineering can be considered to equate the Bachelors Degree programme in Management Engineering delivered by the Faculty in the Rome Campus, both from an educational point of view and for its being a stepping stone into the Masters degree in Management Engineering.

The study plan of Information Engineering focusing on Computer Science can be considered to equate the Bachelors Degree programme in Computer Systems Engineering and the Bachelors Degree programme in Computer and Automatic Engineering delivered by the Faculty in the Rome Campus, both from an educational point of view and for its being a stepping stone into the Masters degree in the field of Computer Engineering. The Information Engineering study plan focusing on Telecommunications can be considered to equate the Bachelors Degree programme in Communications Engineering available in the Rome Campus, both from an educational point of view and for its being a stepping stone into the Masters degree in Telecommunications Engineering.

An individual study plan is submitted by students during the second year of the degree course, at the beginning of the second half of the second semester, through the web application provided by the University.

In order to facilitate the procedure mentioned above and allow students to have individual comprehensive and well-balanced study plans (and in line with the degree course learning outcomes), the Area Board arranges an adequate organisation to support students; in particular, a “study plan” committee is appointed by the Board, to discuss with students the several possibilities available for their study plans and give them advice (please see the Area Educational Board for detailed information and exact deadlines). Study plans include two different lists of exams: - those common to all courses, with indications whether an exam has been taken or not; - curriculum-related exams, also including indications of selected elective exams.

Chacteristics of the final exam

The final exam follows the submission of a written thesis describing the activities carried out during a placement/internship period. A presentation of the thesis will be adequately arranged by the student with the help of his/her supervisor or the lecturer acting as coordinator to be orally delivered before a dissertation panel, allowing for a discussion of some activities described in the thesis. The placement/internship activities can be carried out through an “internal” thesis (supervised by a lecturer) or in a company or public body. In this second case, at the beginning of his/her activity, the student will submit to the lecturer acting as a supervisor a working plan endorsed by the corporate tutor.

The corporate tutor coordinates and directs the activities related to the internship. The lecturer follows and monitors these activities, is free to contribute to their direction and makes sure that, within the deadlines, the student drafts the report describing the activities performed and the presentation to be given before the dissertation panel. It is therefore possible to complete the degree programme studies both with a job-oriented activity and also with an experience leading the graduate to enroll in a Masters degree programme. As for the tests and checking related to internship/thesis and final exam, these are carried out by the supervisor or contact lecturer, during the internship/thesis activities, during the preparation of the final exam and lastly, by the dissertation panel before which the student’s work is presented. The panel, after requesting the supervisor/contact lecturer’s opinion, proceeds to define the student’s final grade.

Expected professional opportunities for graduates

The profession of Information Engineers has a valuable social relevance and a meaningful economic and industrial impact. Graduates find jobs in companies, bodies and institutions (public administration, finance, industry, commerce, etc.) that produce or manage electronic, computer or telecommunications systems and devices, or provide services using systems for process management and information processing. The professional opportunities for Information Engineers are found in the fields of electronic, management, computer and telecommunications engineering, therefore covering the whole area of Information and Communication Technology (ICT).

This is the list of some specific professional figures: - Application software and web applications analyst, programme designer, maintenance expert; - calculator networks, information systems and web applications installer and maintenance expert; - Automation and industrial control devices and systems analyst, designer, installer, and maintenance expert; - In the field of information treatment systems, in the biomedical, environmental, energetic, aeronautic and aerospace areas, programme designer, production engineer, systems and processes manager/maintenance expert, electronic system quality engineer; - Production process management technical expert; - Electronic technical expert; - electronic calculators design engineer; - Telecommunication systems analyst, programme designer, installer and maintenance expert; - Sales/Assistance to users: commercial/assistance technical expert, in relation to electronic, computer and telecommunications systems.

Manifesto -General Regulations for Sapienza Students

In the academic year 2018/2019 the degree programme has activated all the three years of the course according to the academic system. Therefore, in this academic year, classes will be held in the following way: - first year classes for students registered in the academic year 2018/19, according to the 2018 Regulations enclosed; - second year classes for students registered in the academic year 2017/18, according to the 2017 Manifesto available on the website of the Information Engineering Area Educational Board; - third year classes for students registered in the academic year 2016/17, according to the 2016 Manifesto available on the website of the Information Engineering Area Educational Board; Teaching activities take place in two cycles (semesters). In general, each semester lasts for 12-14 weeks and is followed by exam sessions during 7 weeks. The beginning and the duration of teaching periods and the calendar of exam sessions are established by the Faculty and communicated through the Area Board website and the other information channels. Five sessions of exams are scheduled for each degree course: two are held soon after the end of the first semester classes, two at the end of the other semester and one in the September session. Extra-sessions are also scheduled, admission to which is subject to restrictions.

To complete the Manifesto-General Regulations definition of the courses delivered, the following indications are provided: the two curricula included in this planning are indicated as “ELT/TLC” (Electronics-Telecommunications Eng.) ed “INF/GES” (Computer-Management Eng.). The first part of the degree programme consists of educational activities the two curricula have in common. At a later stage, each student submits a study plan, indicating the key courses and the elective courses chosen. For the study plan submission procedure and the description of the assistance provided to students by the Area Board, please see the Information Engineering Area Educational Board website. It displays the whole structure of the three years beginning this academic year (i.e. also the courses delivered in the years following the first for the students registering in this degree programme in 2018/19). Semesters are numbered from 1 to 6 (for ex., semester 5 is the first semester of the third year).

Other learning activities

Indications are provided also in relation to the “student’s elective degree courses”. Suggestions are given for each curriculum: the adoption of such suggestions allows the study plan to be automatically approved; different choices are possible, nonetheless, in this case, the Educational Area Board needs to decide whether to accept them, after checking the coherence of the study plan with the degree programme (and the student’s) learning outcomes. For the detailed list, please see the GOMP.

Curricula and academic organisation

The Degree Programme in Information Engineering (Latina Campus) is organised so as to allow for a progressive specialisation towards one of the 4 scheduled curricula. In general terms, Didactics is developed according to the following scheme.

Attendance, including part-time students.

All students who, in addition to university study are also carrying out other activities at the same time, can apply for part-time status and thus extend their study activity on a longer time than the three years, and plan to acquire a lower number of annual credits (instead of the regular 60 credits). The terms and conditions related to part-time status are indicated in the University Regulations. Please refer to the general rules established by the University for part-time students’ rights and duties.

Admission to the degree programme

In order to be admitted to the Bachelors degree programme, students will hold a High School Diploma or other Upper Secondary Education Diploma obtained abroad that is deemed valid. In addition to this, students will take an admission test for the assessment of required knowledge. Such test does not operate a selection, it rather provides a score. The test will be carried out through the online “TOLC-I”, computer-administered, and managed by the “CISIA” (Inter-university Consortium for Integrated Admission Systems). On the grounds of the score obtained in the admission test, additional learning requirements can be assigned to students, to be fulfilled during the first year of the degree course (by 31 October 2018). The scores below which additional learning requirements will be assigned, and the procedure to fulfil them will be defined after the publication of the rankings. In each case, to support preparation for basic degree courses, the degree programme has arranged both pre-courses in Mathematics (taking place in September) and tutoring activities (activities dedicated to all registered students.

Students enrolled during former academic systems

Students who had enrolled during former academic systems (degrees ex M.D.509) do not need to transfer to the current one. No automatic transfer mechanisms are therefore established. Nonetheless, students who are interested in applying for transfer from previous academic systems can submit a written application to the Area Educational Board through the Student Affairs Office of the Latina Campus. The Area Educational Board will examine applications according to regular transfer rules.

Trasfer

Transfer to this Degree programme from another degree course or university can be requested through the Educational Affairs Office and the Student Affairs Office of the Latina Campus. The application needs to be complemented by the syllabi of the degree courses for which recognition of the new degree course is sought, as well as the details useful to check the information (websites where syllabi are published, reference to the offices involved in the university of origin). The Area Educational Board will deliberate on the grounds of the documents submitted together with the transfer application so as to decide if and what degree courses and how many credits will be recognised.

Evaluation procedure of the study periods abroad

Degree courses or internships attended in European or extra-European universities which have signed agreements and projects with Sapienza are recognised according to the terms and conditions provided by those agreements. Following authorisation by the Area Educational Board, students can carry out a study period abroad in the framework of the LLP Erasmus+ programme. Information on the Erasmus+ programme, procedures to apply and to have the activity performed abroad recognised are available on the University and Area Board websites. In compliance with the University Regulations, in the case of studies, exams and academic degrees obtained abroad, the Area Educational Board examines single programmes in order to recognise credits in the related scientific academic sectors.

Types of adopted educational activities, also through distance learning, and preparation assessment

Each degree course can include traditional lectures, tests, workshops, group works and all other activities that a lecturer can deem useful for educational purposes. Learning assessment is usually carried out through an exam (E) for each course, which can consist of written and/or oral tests according to the procedure defined by the lecturer and communicated together with the course syllabus (these information are available to students through the lecturers, the university websites and the Educational Affairs Office). Some activities do not require exams, in their place suitability is assessed (V), and also in this case, procedures are established by the lecturer and made available to students as indicated above.

Syllabi and didactic material

Degree courses syllabi and didactic and information material are available on the Area Board website https://corsidilaurea.uniroma1.it/it/corso/2016/ingegneria-dellinformazione-sede-di-latina as well as on single lecturers’ websites.

Information can also be found on the noticeboard in the Educational Affairs Office of the campus.

General information

- Educational Affairs Office: Mrs. Patrizia Tirocchi, premises of Via Andrea Doria 3 – 04100 – Latina. Tel. +39 0773 476504, email: patrizia.tirocchi@uniroma1.it

- Tutoring service: the following lecturers carry out tutoring and guidance activities, according to the timetables indicated on their personal websites and on the Area Board website: Proff. Umberto Nanni, Marco Temperini, Fabrizio Frezza, Giuseppe Scotti, Alessandro Falaschi e Paolo Di Giamberardino.

Tutoring services are available for this Degree course and are provided for by the Faculty also through specific teaching contracts. All lecturers in the degree programme carry out tutoring activities for students, according to the timetable available on their personal websites and on the Area Board website.

- Quality Evaluation: The Degree programme, in collaboration with the Faculty, carries out several activities to serve this purpose: opinion survey involving all the students attending the degree courses delivered; quality pathway, coordinated by the Course Evaluation Committee, lecturers, students and academic staff. The results of surveys and Course Evaluation Committee’s analyses are used to improve educational activities; a group of external experts was also appointed: it is composed of representatives of “social parties” who are in contact with the degree course graduates and are called to give their opinion and external evaluation.

Study plan description

The Degree programme aims at developing and fine-tuning theoretical and practical skills, enabling a prompt integration into particularly meaningful working contexts, or into Masters degree programmes in specialised areas of Information Engineering. The design of the pathway is the following:

- In a first phase, approximately corresponding to the first two years of the degree programme, students attend courses which are common to all study plans, designed so as to guarantee the acquisition of concepts and methodologies of Fundamental Sciences and Information Engineering topics.

This phase aims at favouring the exploration of scientific culture, covering the fundamentals in automatic, electronic, computer and telecommunications engineering.

- In a second phase, the study plan leads to related subjects and in-depth study of the key topics of Information Engineering mentioned above.

- Experimental activities and projects are carried out in laboratories or other facilities (for example through individual or group activities) and are periodically monitored by a lecturer.

- students’ testing and designing skills will be the grounds underpinning internship activities, thesis and the final exam. Internships and theses can be done in the academic context, under the guidance of a lecturer who acts as supervisor, or outside the university, under the supervision of a local/corporate tutor and a lecturer acting as coordinator.