How to update your residence permit

How to update your residence permit

Contact the Secretariat Student of Engineering by Video call (Didactic building)

(http://ing.uniroma2.it/area-studenti/segreteria-studenti/)only for:

  1. Validation of Enrollment
  2. Recognition of residence permit

First of all, you must UPLOAD the following documents to Delphi:

  • Residence permit (for non-EU students with a qualification obtained in Italy)
  • identification document
  • passport-size photo

After that bring with you during the video call

  • SERIAL number and the original documents uploaded to the Delphi

TIME SCHEDULE FOR VIDEO CALLS from Monday 27 September

  • Monday from 9:30 to 12:00
  • Wednesday from 9:30 to 12:00
  • Friday from 9:30 to 12:00

CONNECTION TO THE LINK (BOOKING IS NOT NECESSARY), join the meeting and wait in the “Waiting Room” (10-20 minutes) of MS Teams. Now you can proceed with point 2ENROLLMENT by DELPHI System:

REGISTRATION PROCEDURE> 2. You have already filled out an application

It is possible to proceed with the APPLICATION FOR REGISTRATION in the following cases:

  • Has passed the Admission Test (Course of Study With Limited Number of Access)
  • Has finished the Mandatory Assessment Test for admission to the Degree Course (3 Years) for Open Access;
  • Has received the Clearance for the Enrollment to the Master Degree (2 years) after the evaluation of curricular requirements

at the end of the procedure, print and pay the invoice, then contact the Student Secretariat again using TEAMS to validate it.

Electromagnetic Fields

Electromagnetic Fields
3 YEAR1 semester6 CREDITS
Prof. Cecilia Occhiuzzi2019-20
OCCHIUZZI CECILIA 2020-21
2021-22
Code: 8039513
SSD: ING-INF/02

OBJECTIVES:
This course aims to provide the basic principles and models for the representation of electromagnetic transmission and propagation phenomena up to the description of the most common classes of guiding / radiating elements and of the entire wireless communication link.

KNOWLEDGE AND UNDERSTANDING:
Students will have understood the principles and the mathematical representation of transmission, irradiation, propagation and reception of electromagnetic waves. At the end of the course the student: – will know the basic methodologies of problem analysis described by the Maxwell Equations; – will know the solution of Maxwell’s equations in terms of plane waves and the propagation, reflection and refraction modes of the latter; – will know the behavior of transmission lines and will be able to use the Smith diagram; he will know the basic guiding structures and the relative modalities he will be able to characterize the irradiated field at great distance from electromagnetic sources; – will know the descriptive quantities of the behavior of the antennas both in transmission and in reception; –

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
Students will be able to interpret the most common phenomena of electromagnetic propagation in free space and in material means. They will be able to understand qualitatively and quantitatively the phenomena and the peculiar characteristics of radiant and basic guiding structures. Thanks to the use of basic CAD and Matlab type calculation software they will be able to directly analyze the different phenomena covered by the course.

AUTONOMY OF JUDGMENT:
Students will acquire the ability to integrate the knowledge provided with those found autonomously by accessing the scientific literature / datasheet of components. The autonomous and guided development of exercises (also in Matlab / CAD electromagnetic base) will complete the training.

COMMUNICATION SKILLS:
Students will be able to illustrate in a synthetic and analytical way all the topics of the course using equations and schemes. They will communicate quantitatively the resolution of exercises and complex problems, also through basic electromagnetic Matlab / CAD.

LEARNING SKILLS:
Students will have acquired the ability to read and understand scientific texts and datasheets in English for further information on the topics covered by the course and for the resolution of the exercises.

SYLLABUS

1.Review of vector analysis and complex Algebra
2.Transmission lines: theory and techniques
3. Electrodynamics and Time varying fields.
4.Plane waves.
5.Guided waves.
6. Radiation and antennas.

DETAILS:

1.Fields , field operators and Phasors.
Review of vector analysis.
Scalar and vector fields.
Line and surface integrals.
Differential operators: Gradient, Divergence, Curl, Laplacian.
Complex Algebra and Phasor.

2.Transmission lines.
The Lumped-Circuit theory.
Sinusoidal waves on the ideal lossless line.
Characteristic impedance. Power transmitted by a single wave.
Reflection and transmission.
Transmission lines with losses.
Standing wave ratio.
Impedance.
The Smith chart.
Impedance matching techniques.
Practical transmission lines.

3. Electrodynamics and Time varying fields.
Displacement current. The continuity equation.
Faraday’s law.
Boundary conditions for the tangential electric field.
Maxwell’s equations.
Sinusoidal fields.
The skin effect.
Boundary conditions for good conductors.
Electromagnetic waves. The uniform plane wave.
The quasi-static approximation.

4. Plane waves.
Characteristics of plane waves. Polarization of plane waves.
Poynting’s theorem.
Reflection and transmission at normal incidence.
Reflection and transmission at oblique incidence.
Plane waves in lossy media.

5.Guided waves.
TEM waves in transmission lines.
Hollow metal waveguides. TE waves. The TE10 mode. Waveguide losses.
Cavity resonator
Microstrip

6. Radiation and antennas.
Sources of radiation.
Far field parameters
Near field parameters
The elementary dipole. Directivity and gain.
Array basic

Fundamentals of Telecommunication

Fundamentals of Telecommunication
3 YEAR2 semester9 CREDITS
Prof. Michele Luglio2019-20
LUGLIO MICHELE 2020-21
2021-22
Code: 8039512
SSD: ING-INF/03

OBJECTIVES

LEARNING OUTCOMES: To provide basic knowledge on deterministic analogic signals, linear time invariant systems, analogic random processes, noise and signal to noise ratio, analogic modulation concepts. To allow practical experience on Matlab.
KNOWLEDGE AND UNDERSTANDING: Obtain capability to apply the acquired knowledge in the field of elementary analogue signal processing to approach and solve problems concerning more complex processing in the field of digital signals. Obtain capabilities to understand problem to approach the job in professional manner.
APPLYING KNOWLEDGE AND UNDERSTANDING: Obtain and demonstrate to understand problems of university degree of complexity both during the class and on books of equivalent level.
MAKING JUDGEMENTS: Acquire the capability to collect and analyse data on the analogue signal processing to carry out and express opinion autonomously and independently.
COMMUNICATION SKILLS: Acquire capability to explain what learnt to both skilled and not skilled people.
LEARNING SKILLS: Acquire such a capability to learn to be able to approach the following courses with high degree of autonomy.

SYLLABUS

Deterministic continuous-time signals
Introduction, telecommunication systems and services, definition of signals, ideal transmission of signals, time domain signals, complex notation, basic operations on signals, classification, duration, Dirac impulse, energy and power. Affinity: cross correlation and autocorrelation between energy and power signals. Time domain series representation of signals: Fourier series for periodic signals, representation with series of orthogonal functions,
Fourier series for time limited signals, representation with samples interpolation. Representation in the signal domain, Gram- Schmidt orthogonalization. Linear transformation: Fourier transform. Examples of Fourier transform, affinity for frequency represented signals, energy and power spectrum, sampling theorem in time and frequency domain. Representation in the complex domain: analytic signal and complex envelope. Basics of source signals: analogue and digital signals. Multilevel source signals, binary signals, synchronous and asynchronous signals. Linear transformation between signals, linear and time invariant transformations in one port systems and in two port systems. Ideal two port system, perfect two port systems. Fundamentals of transmission, ideal transmission, perfect transmission systems, perfect linear channels, time continuous linear processing, filters, processing and reverse processing of step signals, total processing. Multiplexing, analogue digital conversion, basics on channel coding, basics on modulation.
Time continuous random variables and stochastic processes. Random variables theory, probability distribution and density functions, conditional probability distribution. Moments, characteristic and generating function of a random variable. Functions of random variables, distribution and density functions computation, sequences of random variables, transformation of random variables, independence of random variables. Expected value, variance and covariance. Conditional density functions, complex random variables. Stochastic processes, generalities, properties and moments. Classification, spectral theory, transformation of stochastic processes. The Gaussian process. Stationary processes, cross correlation, sum of processes and complex process, ciclostationary processes of first and second order, processes represented by the complex envelope, stationary process not in base band, processes represented in time series, real processes with random factors, processes sampled in base band, complex processes with random factors. Gaussian processes: noise, Gaussian stationary noise not in base band, white Gaussian noise in the signal space. Markov processes: properties, continuous and discrete time.
Imperfect transmission Imperfect connection. Undesirable additive affect at the output. Imperfect transmission over linear time variant channel. Imperfect transmission over linear time invariant channel. Imperfect transmission over non linear channel. Imperfect transmission with independent disturbs. Generalities on independent disturbs. Reduction of effects from independent disturbs. System additive Gaussian noise. Power analysis of a transmission system. Single two port system. Power analysis of noisy linear two port system chain. Noisy linear two port systems. Receiver sensitivity.
Signals utilized in transmission systems Harmonic signals modulation. Transmitter and receiver general schemes for modulated harmonic signals. Analogue harmonic modulation. Amplitude modulations (AM). Angle modulations: phase (PM) and frequency (FM). Performance analysis of harmonic modulation systems with analogue signals. Performance of AM systems. Signal to noise ratio for PM and FM systems.
Signals lab Introduction to Matlab and its use to graphically represent signals. Execution of operations among signals (also periodic). Study of signal properties (energy and power) and correlations.

Networking and Internet

Networking and Internet
3 YEAR2 semester9 CREDITS
Prof. Luca Chiaraviglio2019-20
CHIARAVIGLIO LUCA 2020-21
2021-22
Code: 8039511
SSD: ING-INF/03

OBJECTIVES

LEARNING OUTCOMES: Understand and master the architecture of the Internet.

KNOWLEDGE AND UNDERSTANDING: Understanding of the Internet architecture to: i) learn the economic, technological, historical and research pillars that stimulated the Internet growth, ii) acquire skills about the management of fixed, WiFi and cellular networks, iii) touch through a ground-truth approach about the relationship between security aspects and networking.

APPLYING KNOWLEDGE AND UNDERSTANDING: Practical aspects, such as: network dimensioning problems, performance evaluation, configuration of devices at application and networking levels.

MAKING JUDGEMENTS: The students will learn the building blocks of the current Internet. The students will also understand the current limitations and the possible future research topics.

COMMUNICATION SKILLS: The student will improve its communications skills thanks to the oral examination. Moreover, the adoption of laboratory experiences allows improving the team working skills to solve complex problems.

LEARNING SKILLS: The students will improve its learning skills, thanks to a step by step approach, in which the laboratory experiences support and strengthen the concepts detailed during the lessons. Moreover, the classroom proposes different practical research topics, which can be used as material for further investigations of Bachelor thesis.

SYLLABUS

ECxopree rTimopeinctsal Part with Netkit
– Introduction to the Internet
– Application Layer (HTTP, DHCP, DNS, email)
– Transport Layer (TCP, UDP)
– Network Layer (RIP, OSPF, BGP, SDN, IP, ICMP)
– Link Layer

Additional Topics
– Wireless and Mobile Networks (WiFi, 2G, 3G, 4G)
– Multimedia Networking (Streaming)
– Security (principles of criptography, SSL, WEP, secured email, certification autorithies)

Digital Signal Processing

Digital Signal Processing
3 YEAR2 semester6 CREDITS
Prof. Marina Ruggieri2019-20
RUGGIERI MARINA 2020-21
2021-22
Code: 8039514
SSD: ING-INF/03

OBJECTIVES

LEARNING OUTCOMES: The course aims at providing to the students the theoretical and practical tools for the development of design capabilities and implementation awareness of Digital Signal Processing (DSP) systems and applications.

KNOWLEDGE AND UNDERSTANDING: Students are envisaged to understand the DSP theoretical, design and algorithm elements and to be able to apply them in design exercises.

APPLYING KNOWLEDGE AND UNDERSTANDING: Students are envisaged to apply broadly and, if applicable, to personalize the design techniques and algorithm approaches taught during the lessons.

MAKING JUDGEMENTS: Students are envisaged to provide a reasoned description of the design and algorithm techniques and tools, with proper integrations and links.

COMMUNICATION SKILLS: Students are envisaged to describe analytically the theoretical elements and to provide a description of the design techniques and the algorithm steps, also providing eventual examples.

LEARNING SKILLS: Students are envisaged to deal with design tools and manuals. The correlation of topics is important, particularly when design trade-offs are concerned.

SYLLABUS

PART 1- Discrete-time signals and systems; representation in the time domain; sampling process; Discrete-time Fourier transform (DTFT); Z-transform; Discrete Time Fourier Series (DTFS).
PART 2 – Processing algorthms: introduction to processing; Discrete Fourier Transform (DFT); finite and long processing; DFT-based Processing; Fast Fourier Transform (FFT); processing with FFT.
PART 3 – Filter Design: introduction to digital filters: FIR and IIR classification; structures, design and implementation of IIR and FIR filters; analysis of finite word length effects; DSP system design and applications; VLAB and applications (Dr. Tommaso Rossi) with design examples and applications of IIR and FIR filters, Matlab-based lab and exercises (optional).

High Performance Electronics

High Performance Electronics
3 YEAR1 semester6 CREDITS
Prof. Giancarlo Bartolucci2019-20
BARTOLUCCI GIANCARLO 2020-21
2021-22
Code: 8037963
SSD: ING-INF/01

Educational objectives

LEARNING OUTCOMES: the main purpose is to provide methods of analysis and design for high frequency components and circuits.

KNOWLEDGE AND UNDERSTANDING: the student should be able to understand and know the methods of analysis and design studied in the course.

APPLYING KNOWLEDGE AND UNDERSTANDING: the student should be able to apply the models of the studied components to the design of high-frequency circuits.

MAKING JUDGEMENTS: in the mathematical model of a component, the student should be able to find by himself the basic assumptions and the corresponding introduced physical approximations.

COMMUNICATION SKILLS: the student should be able to discuss the topics studied in the course with mathematical rigor and using the proper terms.

LEARNING SKILLS: if necessary, the student should be able to significantly and autonomously increase his knowledge of the topics analyzed in the course.

Prerequisites

The analysis methods of the lumped element networks. The most common devices and circuits used in the low frequency analogue electronics. The theory of transmission lines.

Syllabus

  1. Introduction

2.Scattering parameters.
Definition in the general case. The lossless case. The two-port network case.

3.Two-port networks.
The ABCD matrix and its properties for the representation of two-port networks. The relationships between the ABCD parameters and the scattering parameters.

  1. Planar realization of lines.
    The microstrip line. The coplanar line. The most widely used discontinuities
    for these two structures.
  2. Realization of microwave integrated circuits.
    The hybrid integrated circuit configuration. The monolithic integrated circuit configuration.
  3. Three-port networks.
    The general theorem for the three-port networks. The Wilkinson divider.
  4. Four-port networks.
    The branch-line divider. The rat-race divider. The coupled-line structure.
  5. Microwave amplifiers.
    Some linear amplifiers: the balanced configuration and the distributed configuration. The non linear effects in power amplifiers, and their memoryless modeling.
  6. Switches.
    The p-i-n diode and the microelectromechanical switches. The single pole single throw (SPST) switch and the single pole double throw (SPDT) switch.
  7. Phase shifters.
    The switched-line configuration. The reflection phase shifter. The loaded line topology. The distributed configuration.

Bibliography

David Pozar, “Microwave Engineering”, Wiley.
S.K.Koul and B.Bhat, “Microwave and Millimetre-wave Phase Shifters vol II”, Artech House 1991.

VLSI Circuit and System Design

VLSI Circuit and System Design
3 YEAR2 semester9 CREDITS
Prof. Marco Re2019-20
RE MARCO 2020-21
2021-22
Code: 8039166
SSD: ING-INF/01

FORMATIVE OBJECTIVE: …..

KNOWLEDGE AND UNDERSTANDING:

The student will be able to analyze and design microprocessor systems and SW for microprocessors. Starting from these topics the student will be able to write a program in LC3 assembler and to interface the microprocessor with external devices.

APPLYING KNOWLEDGE AND UNDERSTANDING:

The student will apply the knowledge and understanding developed to the analysis of practical problems. This would imply a critical knowledge in terms of silicon real estate and speed for microprocessor based systems.

MAKING JUDGEMENTS:

The student will have to prove his critical awareness with respect to the simplifying assumptions useful to describe and analyze microprocessor systems as well as his critical awareness of the correct order of magnitude of performance parameters while dealing or designing microprocessor systems.

COMMUNICATION SKILLS: The student will prove, mostly during the oral test, his capacity of describing the operation and functioning of microprocessor based digital systems.

LEARNING SKILLS: The student will get familiar with the schematization of practical problems, mostly during the development of his skills for the written test. This mainly concerns microprocessor systems.

SYLLABUS

Introduction
Basics of digital electronics
Data structures for microprocessor systems
The Von Neumann Architecture
The LC3 Architecture
Machine language programming of the LC3
LC3 Assembly programming
LC3 I/O
LC3 Traps e subroutines
Basics of C language programming
Instrumentation and measurements for microprocessor systems

Experimental Electronics

Experimental Electronics
3 YEAR2 semester6 CREDITS
Prof. Lucio Scucchia2019-20
SCUCCHIA LUCIO 2020-21
2021-22
Code: 8037959
SSD: ING-INF/01

LEARNING OUTCOMES:
The fundamental purpose of this course is to provide students the necessary knowledge concerning the practical aspects of the use of measuring instruments, assembly of circuits, and the limits of the most common components and integrated circuits. It is important to observe, that the objectives of a normal course of electronics are to some extent different from those of this course. In fact, generally the goal is basically the understanding the operation of the various circuits proposed. For the experimental electronics course, on the contrary, the fundamental purpose is the synthesis or the project. In other words, choosing the right components of a circuit so that it behaves in the way you want.

KNOWLEDGE AND UNDERSTANDING:
Understanding of the practical aspects necessary for using the most commonly used measuring instruments, basic electronic configurations, and the most used integrated circuits.

APPLYING KNOWLEDGE AND UNDERSTANDING:
Ability to use the introduced measuring instruments, to design and to implement the electronic circuits examined during the course.

MAKING JUDGEMENTS:
Education for an independent evaluation, as it is necessary for verifying, through measurements, the synthesized electronic circuits implemented during the course. Furthermore, the reasoning is stimulated for the identification of all those errors in which the student may incur in phase of synthesis, implementation and measurement.

COMMUNICATION SKILLS:
The communication between the learner and the teacher is stimulated and refined during the course, as there is ample room for questions from students who need to know how to combine the theoretical and practical aspects of the proposed experiments.

LEARNING SKILLS:
The course is based on learning a series of preparatory elements. This requires the learning of a certain number of notions necessary to solve the experiments of the next lesson.

SYLLABUS

General concepts related to the use of measuring instruments present in the laboratory (multimeter, power supply, signal generator, oscilloscope).
Passive filters.
Diode circuits. Synthesis of small-signal amplifiers. Concepts related to the power amplifiers, class A, B and AB.
BJT current sources. Concepts related to sinusoidal oscillators. Structure and operation of operational amplifiers, and their applications. Structure and operation of voltage regulators, and their applications. Structure and operation of timers, and their applications.

Manufacturing Technologies

Manufacturing Technologies
3 YEAR2 semester9 CREDITS
Prof. Fabrizio Quadrini2019-20
QUADRINI FABRIZIO 2020-21
Code: 8037968
SSD: ING-IND/16

LEARNING OUTCOMES:
Basic knowledge about manufacturing processes for metals.

KNOWLEDGE AND UNDERSTANDING:
Conventional technologies for metals are studied. In order to stimulate student’s knowledge, the interaction between material and tools is always highlighted. The student is able to analyse and evaluate any manufacturing process with a proper technical language.

APPLYING KNOWLEDGE AND UNDERSTANDING:
Thanks to the interaction between frontal lessons and laboratory activities, the student is stimulated to have an own technical profile. He will be able to manage technologies with technical language and sketch capabilities.

MAKING JUDGEMENTS:
The student develops own skills and capabilities in describing transformation processes by taking example from the frontal lessons.

COMMUNICATION SKILLS:
Students are invited to describe technologies in a proper technical way and with an adequate technical speech.

LEARNING SKILLS:
Learning skills are continuously improved thanks to the applied methodology for technology description. This methodology can be translated to any other technological process. Capabilities increase because of the number of described technologies and their correlation. Examples from the industrial world and laboratory experiments crystallize the knowledge about new technologies.

SYLLABUS:

Materials structure and properties: structure of metals, crystals, thermal stresses, solid solution, material properties, mechanical behavior, testing, and manufacturing properties of materials, metal alloys: structure and strengthening by heat treatment

Manufacturing of metals: fundamental of metal-casting, metal-casting processes and equipment, bulk forming (rolling, forging, extrusion and drawing), sheet-metal forming, sintering, fundamentals of machining, cutting-tools, machining processes (turning, drilling, milling).

Joining processes and advanced machining: fusion-welding, solid-state welding, adhesive-bonding, fastening, rapid-prototyping processes and operations, additive manufacturing.

Laboratory lessons: mechanical tests, surface engineering, hardness of metals, microscopy.