Degree Course: Communication and information technology engineering Syllabus for A.Y. 2021/2022

Italian version

FIRST YEAR

First semester

Course

Credits

Scientific Disciplinary Sector Code

Contact Hours

Exercise Hours

Laboratory Hours

Personal Study Hours

Type of Activity

Language

20801694 - DIGITAL SIGNAL PROCESSING FOR TELECOMMUNICATIONS (objectives)

- GIUNTA GAETANO (syllabus) (reference books)

ING-INF/03

Core compulsory activities

ITA

20802045 - INFORMATION THEORY AND CODING (objectives)

- NERI ALESSANDRO (syllabus)

Elements of Information Theory: Entropy, Relative Entropy, and Mutual Information. Joint Entropy and Conditional Entropy. Sufficient Statistics. Fano's Inequality. Lossless source coding. Optimal Codes. Bounds on the Optimal Code Length. Kraft Inequality for Uniquely Decodable Codes. Huffman Codes. Optimality of Huffman Codes. Shannon-Fano-Elias Coding. Universal Source Coding. Universal Coding for Binary Sequences. Arithmetic Coding. Lempel-Ziv Coding.
Mutual Information and equivocation. Channel Capacity. Properties of Channel Capacity. Examples of Channel Capacity: Binary Symmetric and Gaussian Channels. Channel Coding Theorem. Fano's Inequality and the Converse to the Coding Theorem. Source-Channel Separation Theorem.
Rate Distortion Theory. Scalar Quantization. Max-Lloyd quantizer. Vector Quantization. Linde, Buzo, and Gray algorithm.
Audio signals coding. Characteristics of the human auditory sytem, perception of complex audio signals, absolute threshold of hearing, critical bandwith, Anatomy and physiology of the basilar membrane. Masking mechanisms.
Speech coding in the time domain: G.711, G.726 e G.727. Model based coding: G729. Audio coding in the transform domain: MPEG 1 layer I, II e III, MPEG-2 and MPEG-4.
Image coding elements: the Discrete Cosine Transform. JPEG encoding.
Channel Coding. Linear Block Codes. Generator Matrix. Block Codes in Systematic Form
Parity Check Matrix. Syndrome Error Detection. Minimum Distance of a Block Code. Error-Correction Capability of a Block Code. Syndrome Detection and the Standard Array. Hamming Codes. Reed-Solomon Codes.
Convolutional Codes. Convolutional Encoder Representations. Distance Properties of Convolutional Codes. Maximum Likelihood Detection. Markov chains. Decoding of Convolutional Codes: The Viterbi Algorithm. Error Probability Analysis for Convolutional Codes. Hard and Soft Decisions. Punctured Convolutional Codes and Rate-Compatible Schemes.
Concatenated encoders, Recursive Systematic Convolutional Encoders. Turbo Encoders. Construction Methods for Turbo Codes: Interleavers, Code Concatenation Methods. Turbo Code Performance as a Function of Size and Type of Interleaver . Decoding of Turbo Codes: The Turbo Decoder, Probabilities and Estimate, Symbol Detection, The Log Likelihood Ratio. The BCJR MAP Algorithm and the LLR Calculation. Turbo Decoding
Forward Error Correction and Automatic Repeat ReQuest. Forward Error Correction. Automatic Repeat ReQuest. ARQ Schemes. ARQ Scheme Efficiencies. Hybrid-ARQ Schemes.
Low-Density Parity Check Codes. Description of LDPC Codes. Construction of LDPC Codes. Decoding of LDPC Codes: The Tanner Graph. Decoding Algorithm for LDPC Codes
Packet oriented channel coding: Fountain and Raptor Codes.
Estimation Theory. Minimum Mean Square Error estimator: general solution an Gaussian in Gaussian estimate. Minimum Mean Magnitude error estimator. Maximum Posterior Probability and Maximum Likelihood estimates. Cramèr Rao lower bound for monodimensional and multidimensional estimates. Efficient estimators. Fisher’s Information Matrix. Time of arrival estimation. Joint time and Doppler shift estimation. Wavelet transform and multiresolution analysis. Signal restoration based on wavelet transform shrinking.

(reference books)

- PIRODDI ANDREA

ING-INF/03

Core compulsory activities

ITA

Optional group: Ulteriori insegnamenti caratterizzanti e affini - (show)

20801758 - DATABASES I (objectives) Presentation of models, methods and tools for the definition, design and development of software systems that manage large sets of data. A student who has passed the course will be able to: (i) develop software applications that make use of databases of even high complexity, (i) design and built autonomously databases of medium complexity, and (iii) be involved in the project and development of large databases of high complexity. - Derived from 20801758 BASI DI DATI I in Ingegneria informatica L-8 N0 ATZENI PAOLO (syllabus) Database systems: general properties. Relational model. Relational algebra. SQL. Conceptual database design. Logical database design. Normalization. (reference books) P. Atzeni et al. Basi di dati 5/Ed. McGraw-Hill, 2018 (in alternative, any major database textbook, contact the instructor for advice) Additional material available on the course site: http://www.dia.uniroma3.it/~atzeni/didattica/BDN/BDNindex.html	6	ING-INF/05	54	-	-	-	Related or supplementary learning activities	ITA
20810259 - Internet and Data Centers (objectives) The purpose is to provide advanced knowledge on computer networks and data centers, with methodological and technical contents. Special attention is devoted to scalability issues. At the end of the course the student is supposed to get the following concepts: inter-domain and intra-domain routing, congestion control, architectures for scalable systems. The student is also supposed to get advanced technicalities on widely adopted protocols. Finally, the student is supposed to understand the main economic and technical drivers of the internet and data centers evolution. - Derived from 20810259 Internet and Data Centers in Ingegneria informatica LM-32 PATRIGNANI MAURIZIO (syllabus) PART 1: The application level. The point of view of the applications. Network service QoS. Design of scalable architectures for Web services. Internet data center arn account chitectures. Content delivery networks. PART 2: The relationship between transport and application layers. The socket library and its use. PART 3: Congestion control and the transport layer. Transport techniques. TCP and congestion control. Focus: TCP exercises and examples. PART 4: Routing metodologies and technologies. Routing algorithm for the network infrastructure. Link-State-Packet algorithms. Routing protocols and the Internet network. Software Defined Networks. Spanning tree computation for switched networks. PART 5: Interdomain routing. Border Gateway Protocol. Scalability of BGP. Internet architecture. Internet data analysis. Design of a transit AS. Stability of BGP protocol. PART 6: Virtual networks. Virtual local networks (VLAN). Evolution of the Spanning Tree Protocol. MPLS-based Virtual Private Networks. PART 7: IPv6. NAT and IPv4 exhaustion. Basics of IPv6 protocol and address space. ICMPv6. Source address selection and multihoming. IPv4-IPv6 transition mechanisms. (reference books) Slides provided by the teacher and downloadable day by day from the course website: http://www.dia.uniroma3.it/~impianti/ In order to download the slides a userid-password pair is necessary (ask the teacher at maurizio.patrignani@uniroma3.it)	9	ING-INF/05	81	-	-	-	Related or supplementary learning activities	ITA
20801664 - OPERATIONAL RESEARCH (objectives) The objective of the course is to endow the students with the key aspects of deterministic optimization, including linear and nonlinear programming. Topics include basic theory, modeling, algorithms, and applications. - Derived from 20801664 RICERCA OPERATIVA in Ingegneria delle infrastrutture viarie e trasporti LM-23 N0 PACCIARELLI DARIO (syllabus) 1. Introduction to Mathematical Programming Convex Programming Linear Programming 2. Linear Programming Formulation Resource allocation Inventory Management Project planning 3. Solving Linear Programming Problems Geometry of Linear Programming The Simplex Algorithm 4. Duality Theory The weak and strong duality theorems Orthogonality conditions Sensitivity analysis 5. Non-linear programming Gradient, Hessian Local minimum, Necessary conditions (first and second order) Local minimum, Sufficient conditions (secondo order and convex case) Gradient method, Line search Newton method, 6. Constrained non-linear programming KKT conditions Barrier method and Penalty functions	6	MAT/09	54	-	-	-	Related or supplementary learning activities	ITA
20801702 - INFORMATION SECURITY (objectives) • For introduction to cryptography: give an introduction to cryptography useful for understanding present-day innovations; explain the mathematical notions instrumental in the design of cryptographic algorithms and interest the students in the applications. The course aims to provide the tools for analyzing the security in telecommunication systems. The theoretical foundations, real implementation, systems for measuring the effectiveness of existing networks, security models are introduced during the course. • The problem of security in networked systems is introduced in, with reference to the cryptographic algorithms, protocols and standards. The course aims to provide a capacity for rational and systematic framework for ict security issues and tools available, including a preliminary capacity assessment of costs / benefits. Cloud systems security is also analyzed. The course will also touch on the the mathematical concepts needed in undertanding and possibly contructing cryptosystems and protocols, particularly in the realm of public-key cryptography.
20810070 - SUSTAINABILITY AND ENVIRONMENTAL IMPACT (objectives) To provide students with knowledge on environmental impacts of human activities, to classify the impacts, to illustrate the concept of sustainability, to describe the evaluation procedures of environmental impact and environmental certification protocols . Illustrate , through significant case studies, examples of environmental impact assessment and of impacts mitigation. - Derived from 20810070 SOSTENIBILITA' E IMPATTO AMBIENTALE in Ingegneria elettronica per l'industria e l'innovazione LM-29 ASDRUBALI FRANCESCO (syllabus) Interdisciplinary characters of energy problems. Definition of the quantities and energy indices. Consumption, reserves and forecasts: the world's energy market, the Italian energy situation. Sustainable Development The international conference on climate and the environment: the Kyoto Protocol, the post-Kyoto, COP 21. The EU directives on energy, environment and climate. Sustainable development: definition, tools and methods. The Aalborg Chart, the Agenda 21 processes, the Covenant of Mayors. Environmental pollution environmental impact of energy systems, production and transport infrastructure. Air pollution: sources, pollutants, legislation, techniques for emissions control. The global pollution: acid rains, ozone depletion, greenhouse effect. Other forms of pollution: thermal pollution, noise, electromagnetic pollution environmental impact assessments The environmental impact assessment: legislation, procedures, methodologies, content and stages., Strategic Environmental Assessment. environmental footprint environmental footprint assessment procedures: Life Cycle Assessment; Social Life Cycle Assessment. Carbon Footprint and Water Footprint. environmental certification protocols environmental certification of productions: ISO 14000, EMAS, ecolabel. environmental sustainability protocols of buildings: LEED; BREEAM; ITHACA. Protocols of sustainability of University certification: Green Metric The Green Economy Definitions, areas of intervention, the Green Economy Manifesto. Outlines of incentive mechanisms in the Green Economy. Costs / benefits analysis. Applications and case studies Examples of environmental impact assessments and good sustainability practices. (reference books) Power point presentations will be made available in the Rome Tre Moodle system, as well as a list of suggested books	6	ING-IND/11	48	-	-	-	Related or supplementary learning activities	ITA

Second semester

Course

Credits

Scientific Disciplinary Sector Code

Contact Hours

Exercise Hours

Laboratory Hours

Personal Study Hours

Type of Activity

Language

20810110 - ADVANCED ELECTROMAGNETICS (objectives)

- BILOTTI FILIBERTO (syllabus)

Part I – Interaction between the electromagnetic field and natural materials
Foundations of electromagnetic field theory. Macroscopic response of natural materials. Constitutive relations and material classification. Linearity. Dispersion. Locality. Stationary and homogeneous materials. Causality and Kramers- Kronig relations. Electric response of natural materials. Material polarization. Electronic, atomic/ionic, orientation, interface polarization mechanisms. Lorentz model: derivation and discussion. Drude model: derivation and discussion. Magnetic response of natural materials. Electrodynamic response of a magnetized ferrite.

Part II – Interaction between the electromagnetic field and artificial materials
Artificial electromagnetic materials. Historical perspective. Chiral materials. Microscopic response of matter. Polarizability concept. Electric polarizability of a dielectric sphere. Magnetic polarizability of a metallic loop. Electric polarizability of a metallic strip. Electric polarizability of a metallic loop. Polarizabilities of the metallic omega particle. Magneto-electric effect. Local field and interaction field. From microscopic to macroscopic response. Homogenization techniques. Maxwell-Garnett formula. Clausius-Mossotti formula. Bruggeman formula. Energy density for dispersive materials. Causality and energy conservation: frequency behavior of the constitutive parameters. Anomalous dispersion. Introduction to metamaterials. Historical overview. Metamaterials and their definitions. Original studies by Victor Veselago. Negative index of refraction. Negative-index materials and their first implementation. Metamaterial terminology. Artificial electric materials with negative permittivity. The wire medium. The parallel-plate medium. Noble metals at optical frequencies. Artificial electric materials in the visible. Epsilon-near-zero metamaterials. Natural and artificial magnetism. The split-ring resonator: concept, analysis, and design. Miniaturization of magnetic particles. The Multiple Split-Ring Resonator: concept, analysis, and design. The Spiral Resonator: concept, analysis, and design. The Labyrinth Resonator: concept, analysis, and design. Modelling of metallic particles in the visible. The kinetic inductance of electrons. The fishnet structure. Route towards negative index material in optics. Optical magnetism.

Part III – Interaction between the electromagnetic field and living matter
Introduction to bio-electromagnetism. Historical overview and impact. Electric modeling of living tissues. Interaction mechanism, biological/health effects. Physical quantities to determine the risk. Dosimetry and exposure limits. European and national regulation.

Part IV – Electromagnetic invisibility, imaging and sensing
Conceptually new electromagnetic devices based on the use of metamaterials: invisibility cloaks, superlenses, hyperlenses.
Cloaking. Reduction of object observability. Stealth and RAM technologies. Electromagnetic invisibility concept. Total scattering cross section. Absorption cross section. Optical theorem. Definition of an ideal invisibility cloak. Figure of merit of non-ideal cloaks. Transformation electromagnetics as a route to invisibility. Alternative approaches to cloaking. Main limitations and assessment. Scattering cancellation approach to cloaking. Volumetric cloaks for cylindrical and spherical objects: analysis and design. Cloaking objects with other shapes. Cloaking a cone. Implementation of scattering cancellation based volumetric cloaks at microwave and optical frequencies. Mantle cloaking: concept, modelling, design, and implementation. Cloaking applications: reduction and manipulation of optical forces. Reduction of the Casimir effect.
Imaging and sensing. The optical lens and the diffraction limit. Superlenses: concept, physical aspects, and design. Hyperlenses: concept, physical aspects, and design. Near-field-scanning optical microscope (NSOM). Aperture and apertureless NSOM tips. Advanced imaging with partially cloaked tips. Electromagnetic sensors. Biological sensors.

(reference books)

ING-INF/02

Core compulsory activities

ENG

Optional group: Ulteriori insegnamenti caratterizzanti e affini - (show)

20801690 - MULTIMEDIA COMMUNICATIONS (objectives) The course aims to provide systematic and modeling aspects related to the support of multimedia services in telecommunications networks. We will define the characteristics of the media and the different sources (human visual system, auditory system, etc..). Will cover aspects related to architectural and protocol models and in particular will be considered source coding, secure information channel coding, and integration of different information media (video, audio, data, reality 'virtual). Part of the course is devoted to innovative coding and transmission. - CARLI MARCO (syllabus) Introduction to Multimedia: Historical overview, multimedia representations, software tools, authoring tools. Basics of Image Formation: Camera and lenses, digitization, image formation, basic camera models and geometry. Standard image formats. Colors in images and videos. Multimedia compression basics: Lossless Compression: Variable length coding, Dictionary based coding. Basics for Lossy Compression: Fourier Transform, Discrete Cosine Transform. Application to image compression (JPEG compression) Video Processing: Fundamental concepts of video, image and video compression, MPEG video coding, MPEG4, 7, and beyond. Audio Processing: Basics of digital audio, quantization and transmission of Audio. Audio compression, Audio MPEG. Multimedia vs. communication Quality of Service Human factors in Multimedia communication • Multimedia applications: content-based retrieval in digital libraries: case studies (reference books) P. Havaldar and G. Medioni “Multimedia Systems – Algorithms, Standards and Industry Practices”, Cengage Learning – 978-1-4188-3594-1 Ohm, Multimedia Communication Technology, Springer, ISBN: 978-3-642-62277-9 (Print) 978-3-642-18750-6 (Online)	6	ING-INF/03	42	-	-	-	Core compulsory activities	ITA
20802093 - PROGRAMMABLE ELECTRONIC SYSTEMS (objectives) The course allows the students to acquire the knowledge and the ability to apply design techniques for digital systems in general and in particular with programmable platforms. The course analyzes the typical structure and the technology of modern programmable electronic components, develops the ability to design a digital electronic system from specifications to implementation and experimental verification of the behavior, the ability to draft a technical report on the design and characterization of a component or digital electronic system. - Derived from 20802093 ELETTRONICA DEI SISTEMI PROGRAMMABILI in Ingegneria elettronica per l'industria e l'innovazione LM-29 N0 DE IACOVO ANDREA (syllabus) Introduction to programmable systems: Programmable system classification Fields of application Digital electronics: Logical networks Combinational circuits Sequential circuits Programmable logics Numeral systems and data types: Binary and hexadecimal numbers Operations and conversions with binary and hexadecimal numbers Binary representation of integers Binary representation of real numbers Microcomputer topology: Base structure Microcontrollers vs. microprocessors CPU Bus Memory arrangement I/O arrangement Instruction set Interrupts Embededd programming with Assembler: Low level programming Assembler Assembler instruction characteristics Multiplications and divisions Data and variable allocation Subroutines and Interrupt Service Routines Embedded programming with C: High level programming Builders Structure of a C program Exampled C and Assembler code integration Interfacing basics: Power supply Clock Power-on reset Bootstrap Embedded peripherals: Interrupt types Interrupt management Timers and counters Embedded memories Bus arbitrations Direct Memory Access (DMA) Physical interfaces: General Purpose Input Output (GPIO) Device interfacing with GPIO Switch and push button interfaces LED interface Display interface Continous current loads Alternate current loads Motor loads Serial communication: Data communication Serial channels UART USB SPI I2C 1-Wire Analog signal processing: Sensors, interfacing and signal conditioning Operational amplifiers Comparators Sampling ADC and DAC converters (reference books) Textbooks: Manuel Jiménez, Rogelio Palomera, Isidoro Couvertier, “Introduction to Embedded Systems: Using Microcontrollers and the MSP430“, Springer Science & Business Media, 11 set 2013. Paolo Spirito, “Elettronica digitale”, McGraw-Hill Companies, 2002. Additional references: Texas Instruments MSP-EXP430FR5739 http://www.ti.com/tool/msp-exp430fr5739 MSP-EXP430FR5739 Experimenter Board User's Guide (Rev. B) http://www.ti.com/lit/ug/slau343b/slau343b.pdf MSP430FR57xx Family User's Guide (Rev. C) http://www.ti.com.cn/cn/lit/ug/slau272c/slau272c.pdf MSP430FR573x Mixed-Signal Microcontrollers (Rev. J) http://www.ti.com/lit/ds/slas639j/slas639j.pdf Texas Instruments Code Composer Studio (IDE) v5 Windows/Linux http://www.ti.com/tool/ccstudio	9	ING-INF/01	72	-	-	-	Related or supplementary learning activities	ITA
20810155 - METAMATERIALS (objectives) The course aims at learning the tools for the analysis and design of innovative high-tech devices based on the use of artificial electromagnetic materials and metamaterials. - MONTI ALESSIO (syllabus) Unit 1: Introduction to metamaterials. Negative-index metamaterials. Classification and terminology. Engheta’s resonator. Pendry’s lens. Transmission-line metamaterials. Miniaturization of electromagnetic components. Miniaturized antennas. Two-dimensional metamaterials: metasurfaces. Design of inclusions for microwave metamaterials. Design of transmission-line metamaterials and design of miniaturized microwave components (elementary cells, phase shifters, rat-race, etc.). Computed-based exercises. Unit 2: Electromagnetic invisibility and metasurfaces. Reduction of radar observability. Basic concepts on electromagnetic invisibility. Radar and scattering cross section. Figure of merit for EM cloaks. Basic principles of the transformation of transformation-electromagnetism. Invisibility cloaks based on transformation-electromagnetism. Other approaches to achieve electromagnetic invisibility. Basiuc principles on scattering cancellation. Scattering cancellation by volumetric metamaterials. Scattering cancellation by metasurfaces (mantle cloaking). Mie theory for spherical and cylindrical objects covered by volumetric layers and surface impedances. Implementation of invisibility devices based on the scattering cancellation at microwaves: volumetric materials and metasurfaces. Applications of electromagnetic invisibility to microwaves: invisibility of passive objects, invisibility of receiving antennas and sensors, mutual invisibility of transmitting antennas. Non-linear and waveform-selective electromagnetic invisibility devices and related applications. Computed-based exercises. Unit 3: Optical metasurfaces. Optical metasurfaces based on array of nanoparticles. Electromagnetic characterization of metals at optical frequencies. Drude model. Effect of shape and size on the optical response of materials. Surface dispersion effect. Volumetric homogenization techniques of nanoparticle arrays: Maxwell Garnett and Clausius-Mosotti formulas. Two-dimensional homogenization techniques. Applications of optical metasurfaces: electromagnetic invisibility, optical absorbers, anti-reflection coatings and transparent screens. Extension of the two-dimensional model to dielectric metasurfaces. Applications of dielectric metasurfaces. Computed-based exercises. Module 4: Space-time modulated metamaterials and metasurfaces. Introduction to EM non-reciprocity based on natural and artificial materials. Introduction to space-time modulated metamaterials. Analysis of a resonator loaded with a space-time modulated metamaterial: coupled mode theory, resonant modes and frequency response. Applications. Free-space and slab propagation in space-time modulated materials. Time-domain propagation in a dielectric slab. Space-time modulated metasurfaces. Unit 5: Metamaterials for structured fields. Topological properties of structured fields. Introduction to the concept of orbital angular momentum, phase singularity and topological charge. Generation of EM fields with phase singularities at optical and microwave frequencies. Generation of composite vortices and related topological properties (robustness with respect to the interaction with opaque objects and vortex-less fields). Application examples: patch antenna with Moebius polarization, shaping of the direction pattern, sectorial and saddle radiation patterns. Full-wave and analytical simulations. Module 6: Measurements of electromagnetic properties of materials. Techniques for measuring the electromagnetic parameters of materials. Capacitive and inductive method, resonant and non-resonant techniques. Guidelines to choose the appropriate measurement technique. Measuring instruments. Algorithms for parameters retrieval. Nicholson-Ross algorithm. (reference books) Learning materials provided by the teacher.	9	ING-INF/02	63	-	-	-	Core compulsory activities	ENG
20801697 - OPTICS (objectives) The course provides the students with tools for dealing with diffraction and propagation of optical fields, which are at the basis of opto-electronic and photonic applications. In such a context, it introduces and develops the concept of optical coherence and presents suitable techniques for solving propagation problems in vacuo and in materials. - SANTARSIERO MASSIMO (syllabus) - Preliminaries: Dirac delta function, Fourier transform, convolution, linear systems, Bessel functions - Wave equation, harmonic waves, Helmholtz equation, plane waves - From Maxwell equations to e.m. waves, plane e.m. waves, Poynting vector, power and momentum, intensity, polarization - Propagation and interference of plane waves, superpositions of plane waves - Diffraction, plane-wave expansion of a light field - Diffraction-free beams - Rayleigh-Sommerfeld formula, Huygens-Fresnel principle, Fresnel integral, paraxial wave equation - Far-field approximation - Fresnel and Fraunhofer diffraction from rectangular slit, circular hole, opaque disc - Effects on propagation of thin lenses and spherical mirrors - Diffraction by gratings - Diffractive Optical Elements: beam multipliers, Damman gratings, phase discretization, circular gratings - Electromagnetic theory of gratings - Gaussian beams of zero and higher order - Focusing, collimating and expanding Gaussian beams - Uncertainty principle and M2 factor - Principles of holography, computer-generated holograms - Introduction to coherence theory, coherence function, degrees of coherence, van Citter-Zernike and Wiener-Kintchine theorems (reference books) - P. Mazzoldi, M. Nigro, C. Voci, “Elementi di Fisica, vol. 2”, II edizione, EdiSES (2008) - F. Gori, “Elementi di Ottica”, ed. Accademica (1995) Notes on selected arguments are also available on the course website, under the section "Complementi"	6	FIS/03	48	-	-	-	Related or supplementary learning activities	ITA
20810075 - OBJECT ORIENTED- PROGRAMMING (objectives) Providing methods and tools for developing oo applications, with emphasis on the quality of code. At the end of the course, students should be able to develop autonomously oo applications of medium complexity, and to participate in the development of large oo applications. - Derived from 20810075 PROGRAMMAZIONE ORIENTATA AGLI OGGETTI in Ingegneria informatica L-8 CRESCENZI VALTER (syllabus) Object Oriented Programming Paradigm Classes and Objects Code Quality Polymorphism Collections Generics Inheritance Code reuse Stream Java Thread (reference books) Ken Arnold, James Gosling, David Holmes "Il linguaggio Java: Manuale Ufficiale" - Addison Wesley Cay Horstmann "Concetti di informatica e fondamenti di Java" - APOGEO Cay Horstmann, Gary Cornell "Core Java2 Vol I: Fondamenti" - Prentice Hall Cay Horstmann, Gary Cornell "Core Java2 Vol II: Tecniche avanzate" - Prentice Hall	9	ING-INF/05	81	-	-	-	Related or supplementary learning activities	ITA
20801702 - INFORMATION SECURITY (objectives) • For introduction to cryptography: give an introduction to cryptography useful for understanding present-day innovations; explain the mathematical notions instrumental in the design of cryptographic algorithms and interest the students in the applications. The course aims to provide the tools for analyzing the security in telecommunication systems. The theoretical foundations, real implementation, systems for measuring the effectiveness of existing networks, security models are introduced during the course. • The problem of security in networked systems is introduced in, with reference to the cryptographic algorithms, protocols and standards. The course aims to provide a capacity for rational and systematic framework for ict security issues and tools available, including a preliminary capacity assessment of costs / benefits. Cloud systems security is also analyzed. The course will also touch on the the mathematical concepts needed in undertanding and possibly contructing cryptosystems and protocols, particularly in the realm of public-key cryptography.
20801702-1 - ELEMENTI DI CRITTOGRAFIA (objectives) The aim of the course is the understanding of the basics and possible application scenarios of modern cryptography. By exploiting theoretical as well as practical tools, the student will be able to deal with the modern techniques for protecting data and communication confidentiality. Topics include encryption, pseudo-random generation, digital signatures, and hash functions. At the end of the course, the students will be able to select and apply the most appropriate crypto-system or cryptographic protocol for protecting data during transmission and/or storage. - NERI ALESSANDRO (syllabus) The program outline is: - Introduction to cryptography - Crypto-system definition- Classical Ciphers: additive, substitution, and shift cipher- Symmetric encryption: DES, 3DES, and AES- Asymmetric encryption: RSA, Diffie-Hellman- Hash functions and Message Digest- Digital signature, certification authority, X.509/PKI (Public Key Infrastructure) (reference books) - Handbook of Applied Cryptography, A. J. Menezes, P. C. van Oorschot e S. A. Vanstone- Practical Cryptography, N. Ferguson and B. Schneier- Cryptography and Network Security Principles and Practices, William Stallings- Material provided during the lectures - Baldoni Sara	6	MAT/03	42	-	-	-	Related or supplementary learning activities	ITA
20801702-2 - SICUREZZA DELLE TELECOMUNICAZIONI (objectives) The problem of security in networked systems is introduced in, with reference to the cryptographic algorithms, protocols and standards. The course aims to provide a capacity for rational and systematic framework for ict security issues and tools available, including a preliminary capacity assessment of costs / benefits. Cloud systems security is also analyzed. The course will also touch on the the mathematical concepts needed in undertanding and possibly contructing cryptosystems and protocols, particularly in the realm of public-key cryptography. - CARLI MARCO (syllabus) Kerberos e DiameterSicurezza IPWeb securityAuthenticationIntrusion detectionHoney potAndroid securityCloud securityBig data securityForensicsDigital watermarking (reference books) Stallings’ Cryptography and Network Security, Seventh Edition	6	ING-INF/03	42	-	-	-	Core compulsory activities	ITA
20810201 - SIGNAL PROCESSING FOR HUMAN–MACHINE INTERACTION (objectives) The course introduces the study of innovative human-machine interfaces. Techniques of perceptual, cognitive and emotional information processing are analyzed with particular emphasis on speech processing techniques, the interpretation of gestures and behaviors, affective computing, and brain computer interface. Design principles and evaluation methodologies for human machine interfaces are provided. The considered applicative scenarios include mobile devices, home automation and wearable devices. - MAIORANA EMANUELE (syllabus) The aim of the course is to introduce the main concepts regarding innovative modalities for human-machine interaction, focusing on the employed signal processing techniques. The human characteristics of perceptual, cognitive, and emotional information processing are treated, discussing their consequences on the design and usability evaluation of interactive interfaces. The considered scenarios include mobile applications, home automation, and wearable devices, comprising speech processing techniques, interpretation of gestures and behaviors, affective computing, and brain-computer interfaces (reference books) Course slide Slide del corso A. Dix, J. Finlay, G. D. Abowd, R. Beale, Human-Computer Interaction, Pearson, 2004 G. J. Kim, Human-Computer Interaction - Fundamentals and Practice, CRC, 2015 L. R. Rabiner, R. W. Schafer, Theory and Applications of Digital Speech Processing, Pearson, 2011 V. G. Motti, Wearable Interaction, Springer, 2020 D. Bansal, R. Mahajan, EEG-Based Brain-Computer Interfaces - Cognitive Analysis and Control Applications, Elsevier, 2019 S. Poria, A. Hussain, E. Cambria, Multimodal Sentiment Analysis, Springer, 2018	6	ING-INF/03	42	-	-	-	Core compulsory activities	ITA

SECOND YEAR

First semester

Course

Credits

Scientific Disciplinary Sector Code

Contact Hours

Exercise Hours

Laboratory Hours

Personal Study Hours

Type of Activity

Language

20810153 - ANTENNAS AND PROPAGATION (objectives)

- SCHETTINI GIUSEPPE (syllabus) (reference books)

- BACCARELLI PAOLO (syllabus) (reference books)

ING-INF/02

Core compulsory activities

ENG

20802044 - BIOMETRIC SYSTEMS (objectives)

- CAMPISI PATRIZIO (syllabus) (reference books)

ING-INF/03

Core compulsory activities

ITA

20810072 - TELECOMMUNICATION SYSTEMS (objectives)

20810072-2 - WIRELESS TELECOMMUNICATIONS (objectives)

- Derived from 20810258 New Generation Mobile Networks in Ingegneria informatica LM-32 GIUNTA GAETANO (syllabus) (reference books)

ING-INF/03

Core compulsory activities

ITA

Optional group: Ulteriori insegnamenti caratterizzanti e affini - (show)

20801729 - INFRASTRUCTURES OF CALCULATOR NETWORKS (objectives) The purpose is to provide advanced knowledge on computer networks, with methodological and technical contents. Special attention is devoted to scalability issues. At the end of the course the student is supposed to get the following concepts: interdomain and intradomain routing, congestion control, architectures for scalable systems. The student is also supposed to get advanced technicalities on widely adopted protocols. Finally, the student is supposed to understand the main economic and technical drivers of the internet evoulution. - Derived from 20810259 Internet and Data Centers in Ingegneria informatica LM-32 PATRIGNANI MAURIZIO (syllabus) PART 1: The application level. The point of view of the applications. Network service QoS. Design of scalable architectures for Web services. Internet data center arn account chitectures. Content delivery networks. Peer-to-peer networks and distributed hash tables. PART 2: The relationship between transport and application layers. The socket library and its use. PART 3: Congestion control and the transport layer. Transport techniques. TCP and congestion control. Focus: TCP exercises and examples. PART 4: Routing metodologies and technologies. Routing algorithm for the network infrastructure. Link-State-Packet algorithms. Routing protocols and the Internet network. Software Defined Networks. Spanning tree computation for switched networks. PART 5: Interdomain routing. Border Gateway Protocol. Scalability of BGP. Internet architecture. Internet data analysis. Design of a transit AS. Stability of BGP protocol. PART 6: Virtual networks. Virtual local networks (VLAN). Evolution of the Spanning Tree Protocol. MPLS-based Virtual Private Networks. PART 7: IPv6. NAT and IPv4 exhaustion. Basics of IPv6 protocol and address space. ICMPv6. Source address selection and multihoming. IPv4-IPv6 transition mechanisms. (reference books) Slides provided by the teacher and downloadable day by day from the course website: http://www.dia.uniroma3.it/~impianti/ In order to download the slides a userid-password pair is necessary (ask the teacher at maurizio.patrignani@uniroma3.it)	9	ING-INF/05	81	-	-	-	Related or supplementary learning activities	ITA
20810152 - SIGNAL PROCESSING FOR BIG DATA ANALYTICS (objectives) The course will provide tools for the analysis of big data (audio, video, text) generated by modern information and communication systems and related services. Skills stemming from computer science, statistics and optimization will be introduced to provide the means for understanding, designing and implementing methods capable of managing complex amounts of data, and transforming them into useful and semantically relevant information. Topics to be discussed will include advanced principles of information theory (sparse coding, compressive sensing, random matrix), principles of statistical inference, methodologies for clustering the observed data, predictive analytics, and principles of constrained optimization based on elements of game theory. - MAIORANA EMANUELE (syllabus) Statistics inference and statistical hypothesis testing regression Machine Learning classification (supervised learning) decision trees, random forests, naïve Bayes, linear discriminant analysis, k-nearest neighbor, support vector machines clustering (unsupervised learning) k-means clustering hierarchical clustering data modeling principal component analysis, indipendent component analysis, outlier detection and data cleansing, hidden Markov models deep learning & CNN Processing parallel processing examples in Matlab Data analytics in business applications Graph-based signal processing (TBD) Students' presentations (reference books) S. Nolan and T. Heinzen, "Statistics for the Behavioral Sciences" G. James, D. Witten, T. Hastie, R. Tibshirani, "An Introduction to Statistical Learning" K. P. Murphy, "Machine Learning - A Probabilistic Perspective" S. Theodoridis and K. Koutroumbas, "Pattern Recognition" T. A. Runkler, "Data Analytics - Models and Algorithms for Intelligent Data Analysis" I. Goodfellow, Y. Bengio, A. Courville, "Deep Learning" Slides from teacher	6	ING-INF/03	42	-	-	-	Core compulsory activities	ITA

Second semester

Course

Credits

Scientific Disciplinary Sector Code

Contact Hours

Exercise Hours

Laboratory Hours

Personal Study Hours

Type of Activity

Language

20810138 - ADVANCED ELECTROMAGNETIC COMPONENTS AND CIRCUITS (objectives)

- Derived from 20810138 ADVANCED ELECTROMAGNETIC COMPONENTS AND CIRCUITS in Ingegneria elettronica per l'industria e l'innovazione LM-29 TOSCANO ALESSANDRO (syllabus) (reference books)

ING-INF/02

Core compulsory activities

ENG

20810072 - TELECOMMUNICATION SYSTEMS (objectives)

20810072-1 - LOCALIZATION AND NAVIGATION SYSTEMS (objectives)

- NERI ALESSANDRO (syllabus) (reference books)

- Brizzi Michele

ING-INF/03

Core compulsory activities

ITA

Optional group: Ulteriori insegnamenti caratterizzanti e affini - (show)

20802140 - SOFTWARE COGNITIVE RADIO (objectives) The course aims to provide students with specific knowledge about advanced signal processing methodologies, both in telecommunication and radar, including software radio techniques. In particular, during the course the student will learn how to connect the different functional blocks within a complex system of analysis and processing in a single framework of integrated and interdependent processes. Moreover, students will have the opportunity to learn how to use some Software Defined Radio (SDR) devices for the reception and transmission of signals and software tools for their management. The course will provide an overview of some typical systems for processing and transmission of telecommunications signals, also with reference to radar technologies, briefly describing both basic operational concepts and typical application examples. - PALLOTTA LUCA (syllabus) 1. Introduction to SDR technology: Basic concepts, software requirements and reconfigurability. Benefits, ideal architecture and definitions. 2. RF implementation issues: Receiver front-end, characteristics and topologies, transmitter architecture. Noise and distorsions in the RF chain. Link-budget analysis and high-level requirements. 3. Analog to digital conversion and related issues: Quantization noise, jitter and aperture uncertainty. Performance requirements of the hardware devices, DSP and FPGA. 4. Spectral analysis: Continuous-time signal sampling, DFT and FFT. Pass-band sampling, Hilbert transform, envelope and analytic signal. Spectral analysis and non-parametric estimation of the power spectrum (periodogram, Bartlett method, Welch method, ...). Use of FFT in spectrum estimation. Time-frequency signals analysis. Introduction to Matlab. Excercises in Matlab (spectral estimation). Excercises in Matlab (time-frequency signals analysis). 5. Signals modulation: Overview on analog and digital modulations. Excercises in Matlab (modulations). 6. SDR devices: Architecture and operating scheme of the devices RTL-SDR and Analog-Device Adalm-Pluto. Introduction to the use of Matlab, Simulink and GNURadio for SDR applications. SDR laboratory (use of the devices RTL-SDR and Analog-Device Adalm-Pluto for signals acquisition). 7. Cognitive Radios and cognitive radio networks: Basic definitions and concepts, cognitive cycle, spectrum sensing, spectrum mobility, spectrum management, spectrum decision. Excercises in Matlab (application of spectrum sensing techniques). 8. Cognitive radar: Radar working principles and basic concepts; introduction to the cognitive radar. (reference books) [1] Paul Burns, Software Defined Radio for 3G, Artech House, 2003. [2] Tuttlebee, Walter HW, ed. Software Defined Radio: Enabling Technologies, John Wiley & Sons, 2003. [3] John Bard, Vincent J. Kovarik Jr., Software Defined Radio: the Software Communications Architecture, Vol. 6. John Wiley & Sons, 2007. [4] Stewart, Robert W., et al. Software Defined Radio using MATLAB & Simulink and the RTL-SDR, Strathclyde Academic Media, 2015. [5] Fabio Rocca, Elaborazione Numerica dei Segnali, Cusl, 2009. [6] Petre Stoica and Randolph L. Moses, Spectral Analysis of Signals, 2005. [7] Francois Auger, Patrick Flandrin, Paulo Goncalves, and Olivier Lemoine, Time-Frequency Toolbox for use with MATLAB, 1995-1996. It will also provided the slides of the lectures and the codes of the exercises carried out during the course.	6	ING-INF/03	42	-	-	-	Core compulsory activities	ITA
20801965 - INFORMATION SYSTEMS ON THE WEB (objectives) Providing technological and methodological paradigms to design and develop web based information systems - Derived from 20801965 SISTEMI INFORMATIVI SU WEB in Ingegneria informatica L-8 N0 MERIALDO PAOLO (syllabus) PERSITENCE MANAGEMENT: JPA, REPORITORIES. SERVER-SIDE ARCHITECTURES, METHODOLOGIES AND TECHNOLOGIES: MVC, JAVA SPRING BOOT. CLIENT-SIDE METHODOLOGIES AND TECHNOLOGIES: CSS, HTML, JAVASCRIPT (reference books) Slides provided by the teacher.	6	ING-INF/05	54	-	-	-	Related or supplementary learning activities	ITA
20802125 - BIG DATA (objectives) The goal of the course is to illustrate the modern solutions to the management of big data, very large repositories of de-structured data. Starting from the requirements of modern database applications, the course will illustrate the hardware and software architectures that have been recently proposed for the management and analysis of big data. The topics addressed in the course will include: cluster architectures, map-reduce paradigm, cloud computing, NoSQL systems, tools and languages for data analysis. Both theoretical and practical aspects will be addressed and the discussed technologies will be experimented during practical classes and through the assignment of projects. - Derived from 20802125 BIG DATA in Ingegneria informatica LM-32 N0 TORLONE RICCARDO, Rossi Andrea (syllabus) - Infrastructures and programming paradigms for big data - The Hadoop Ecosystem - Cloud computing - Big data processing (MapReduce, Hive, Spark) - NoSQL systems - Big data analytics - Data lakes - Systems and applications - Business seminars (reference books) Martin J. Fowler, PramodkumarJ. Sadalage. "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence". Teacher slides (available on the Web side of the course)	6	ING-INF/05	54	-	-	-	Related or supplementary learning activities	ITA
20810152 - SIGNAL PROCESSING FOR BIG DATA ANALYTICS (objectives) The course will provide tools for the analysis of big data (audio, video, text) generated by modern information and communication systems and related services. Skills stemming from computer science, statistics and optimization will be introduced to provide the means for understanding, designing and implementing methods capable of managing complex amounts of data, and transforming them into useful and semantically relevant information. Topics to be discussed will include advanced principles of information theory (sparse coding, compressive sensing, random matrix), principles of statistical inference, methodologies for clustering the observed data, predictive analytics, and principles of constrained optimization based on elements of game theory. - MAIORANA EMANUELE (syllabus) Statistics inference and statistical hypothesis testing regression Machine Learning classification (supervised learning) decision trees, random forests, naïve Bayes, linear discriminant analysis, k-nearest neighbor, support vector machines clustering (unsupervised learning) k-means clustering hierarchical clustering data modeling principal component analysis, indipendent component analysis, outlier detection and data cleansing, hidden Markov models deep learning & CNN Processing parallel processing examples in Matlab Data analytics in business applications Graph-based signal processing (TBD) Students' presentations (reference books) S. Nolan and T. Heinzen, "Statistics for the Behavioral Sciences" G. James, D. Witten, T. Hastie, R. Tibshirani, "An Introduction to Statistical Learning" K. P. Murphy, "Machine Learning - A Probabilistic Perspective" S. Theodoridis and K. Koutroumbas, "Pattern Recognition" T. A. Runkler, "Data Analytics - Models and Algorithms for Intelligent Data Analysis" I. Goodfellow, Y. Bengio, A. Courville, "Deep Learning" Slides from teacher	6	ING-INF/03	42	-	-	-	Core compulsory activities	ITA
20810154 - ADVANCED ANTENNA ENGINEERING (objectives) Antennas are fundamental components of modern wireless communication systems for smart environments such as pervasive systems for distributed information and computing, advanced space systems, intelligent transportation systems. This course aims at providing a selection of advanced topics in antenna engineering, including analytical and numerical techniques: theory and applications of periodic structures; resonant and traveling-wave antennas for terrestrial and space communication systems; smart and MIMO antenna arrays; numerical techniques based on differential formulations (finite differences in time and frequency) and on boundary integral formulations (method of moments); the main commercial CAD tools for antennas based on the above numerical techniques will also be illustrated. - Derived from 20810154 ADVANCED ANTENNA ENGINEERING in Ingegneria elettronica per l'industria e l'innovazione LM-29 BACCARELLI PAOLO (syllabus) I PART Introductory concepts: Linear algebraic systems and their numerical solution Singular-value decomposition (SVD) of general complex matrices. Fundamentals of radiation. Antenna parameters. Elementary array theory. Beyond elementary array theory. Microstrip and Printed antennas: Overview, basic principles of operation, feeding methods, and radiation characteristics. Design procedures and CAD formulas. Circular polarization, broadband and multi-band antennas, and miniaturization. II PART Periodic structures: Introduction, basic theory (space harmonics, Floquet theorem). Brillouin diagrams. Bloch analysis. Leaky-wave antennas (LWAs): General features and classification. Design procedures for 1D LWAs. Fabry-Perot cavity antennas; general features of 2D LWAs Arrays for wireless communications: Characterization of the wireless channel. Arrays and diversity. Introduction to Multiple-Input/Multiple-Output (MIMO) systems. Boundary integral equations and the Method of Moments (MoM): MoM for 1D integral equations; basis and test functions. MoM for thin wires. Boundary integral representations of the electromagnetic field and boundary integral equations. Mixed-Potential Integral Equation (MPIE) in free space. MoM for MPIE: basis and test functions. MPIE in layered media. Sommerfeld integrals, asymptotic extractions, and spatial singularities. Acceleration techniques for integral and series in electromagnetic problems. MoM for MPIE: periodic structures (free space and layered media). III (Numerical simulations with commercial electromagnetic software) Electromagnetic CAD: Ansys Designer and FEKO: introduction and general features. Analysis of microstrip antennas: simple patch antenna, mutual coupling, and array configurations. Analysis of Frequency Selective Surfaces. (FSSs) (reference books) Teaching material: • Slides of the lessons	9	ING-INF/02	72	-	-	-	Core compulsory activities	ENG

20802015 - TRAINING (objectives)

Per stages e tirocini presso imprese, enti pubblici o privati, ordini professionali (art.10, comma 5, lettera e)

ITA

20802113 - ART. 10, COMMA 5, LETTERA D

Other activities

ITA

20802091 - FINAL EXAM (objectives)

Final examination and foreign language test

ITA

20810000 - A SCELTA STUDENTE

Elective activities

ITA