Degree Course: Management and automation engineering
A.Y. 2024/2025
Autonomia di giudizio
Nell'ambito delle aree di propria competenza, i laureati saranno in grado di assumere responsabilità decisionali autonome in progetti anche di grandi dimensioni e di partecipare attivamente al processo decisionale in contesti anche interdisciplinari.
Questo obiettivo sarà perseguito attraverso alcuni corsi di insegnamento con componente progettuale e attraverso la tesi di laurea magistrale.
Esso sarà verificato attraverso i relativi esami di profitto e l'esame di laurea magistrale.Abilità comunicative
I laureati magistrali saranno in grado di comunicare efficacemente e interagire sulle tematiche di interesse con interlocutori specialisti e non specialisti, anche di alto livello.
Questo obiettivo sarà perseguito attraverso gli esami ed il tirocinio.
Esso sarà verificato attraverso gli esami scritti e orali e attraverso l'esame finale di laurea.
Esso sarà verificato attraverso i relativi esami di profitto e l'esame di laurea magistrale.Capacità di apprendimento
I laureati saranno in grado di procedere in maniera autonoma nell'aggiornamento professionale e, nel caso degli studenti migliori, nella ricerca scientifica.
Questo obiettivo sarà perseguito attraverso alcuni specifici corsi di insegnamento, che prevedono una componente seminariale e di ricerca bibliografica, e attraverso la tesi di laurea magistrale.
Esso sarà verificato attraverso i relativi esami di profitto e l'esame di laurea magistrale.Requisiti di ammissione
Per accedere proficuamente al Corso di Laurea Magistrale in Ingegneria gestionale e dell'Automazione, lo studente deve:
- conoscere adeguatamente gli aspetti metodologico-operativi della matematica e delle altre scienze di base ed essere capace di utilizzare tale conoscenza per interpretare e descrivere i problemi dell'Ingegneria;
- conoscere adeguatamente gli aspetti metodologico-operativi delle scienze dell'Ingegneria, sia in generale, sia in modo approfondito relativamente all' area specifica dell'Ingegneria Informatica nella quali deve avere capacità di identificare, formulare e risolvere i problemi utilizzando metodi, tecniche e strumenti aggiornati;
- essere capace di utilizzare tecniche e strumenti per la progettazione di componenti, sistemi, processi;
- essere capace di condurre esperimenti e di analizzarne e interpretarne i dati;
- essere capace di comprendere l'impatto delle soluzioni ingegneristiche nel contesto sociale e conoscere i contesti aziendali e la cultura d'impresa nei suoi aspetti economici, gestionali e organizzativi;
- conoscere i contesti contemporanei e le proprie responsabilità professionali ed etiche;
- essere capace di comunicare efficacemente, in forma scritta e orale, in lingua Inglese;
- possedere gli strumenti cognitivi di base per l'aggiornamento delle proprie conoscenze.
Il Regolamento Didattico del Corso di Laurea Magistrale (reperibile al link indicato) descrive le modalità di verifica puntuale di tali conoscenze.Prova finale
La prova finale è costituita dalla discussione di una tesi originale, elaborata in modo autonomo dallo studente sotto la guida di un relatore ed eventualmente di uno o più co-relatori.Orientamento in ingresso
Le azioni di orientamento in ingresso sono improntate alla realizzazione di processi di raccordo con la scuola secondaria di secondo grado.
Si concretizzano sia in attività informative e di approfondimento dei caratteri formativi dei Corsi di Studio (CdS) dell'Ateneo, sia in un impegno condiviso da scuola e università per favorire lo sviluppo di una maggiore consapevolezza da parte degli studenti e delle studentesse nel compiere scelte coerenti con le proprie conoscenze, competenze, attitudini e interessi.
Le attività promosse si articolano in:
a) incontri e iniziative rivolte alle future matricole;
b) incontri per la presentazione delle Lauree Magistrali rivolte a studenti delle triennali;
c) sviluppo di servizi online (pagine social, sito), realizzazione e pubblicazione di materiali informativi sull'offerta formativa dei CdS (guide di dipartimento, guida breve di Ateneo, newsletter dell'orientamento).
L'attività di orientamento prevede una serie attività, distribuite nel corso dell'anno accademico, alle quali partecipano tutti i Dipartimenti e i CdS:
• Orientamento Next Generation Roma Tre, il progetto comune di tutti gli Atenei della Regione Lazio, a cui partecipa attivamente anche Roma Tre, è stato avviato nell'a.a.
2022- 2023 e si concluderà nel 2026.
Finanziato dai fondi del PNRR, è pensato per sostenere le studentesse e gli studenti della nostra Regione nella scelta consapevole del proprio percorso di formazione successivo al ciclo scolastico, nonché a definire la propria traiettoria personale e professionale.
Nel primo anno di attivazione Roma Tre ha raggiunto:
- 2.597 studenti inseriti in piattaforma del terzo o quarto anno di corso del target iniziale;
- presenze effettive: 2.330 studenti, che hanno raggiunto il 70% delle presenze;
- N.
125 corsi erogati;
- N.
accordi con le scuole: 14 convenzioni firmate
- N° Formatori interni: più di 100
• Giornate di Vita Universitaria (GVU), si svolgono ogni anno nell'arco di circa 3 mesi e sono rivolte a studentesse e studenti degli ultimi due anni della scuola secondaria superiore.
Si svolgono in tutti i Dipartimenti dell'Ateneo e costituiscono un'importante occasione per le future matricole per vivere la realtà universitaria.
Gli incontri sono strutturati in modo tale che accanto alla presentazione dei Corsi di Laurea, studentesse e studenti possano anche fare un'esperienza diretta di vita universitaria con la partecipazione ad attività didattiche, laboratori, lezioni o seminari, alle quali partecipano anche studenti seniores che svolgono una significativa mediazione di tipo tutoriale.
Partecipano annualmente circa 4.000 studenti; nel 2023 hanno partecipato 3.255 studenti in presenza.
Inoltre le GVU 2023 hanno totalizzato su YouTube 4.266 visualizzazioni.
• Incontri nelle scuole: nel 2023 l'Ufficio orientamento ha ricevuto 36 inviti.
Le richieste sono state lavorate nel seguente modo:
- se la scuola ha richiesto la presentazione dell'offerta formativa dell'intero Ateneo sono stati organizzati gli incontri di “Orientamento tra pari”: l'idea nasce dalla consolidata esperienza legata all'importanza di realizzare un orientamento, basato sul peer tutoring.
Nel 2023 sono stati realizzati 5 incontri on line alla presenza del personale dell'Ufficio con i borsisti (sia dei dipartimenti che dell'ufficio) presso:
a) il Liceo Peano di Roma (52 studenti);
b) Liceo artistico Caravaggio di Roma (200 studenti);
c) Liceo Metelli di Terni (20 studenti);
d) IT Fermi di Sulmona (200 studenti);
e) Informagiovani Roma Capitale (60 studenti)
Per un totale di 530 studenti.
Presso l'Assistant College Counseling St Stephen's School di Roma l'Ufficio è stato presente solo con un banchetto per la distribuzione di guide in inglese e in italiano a circa 60 studenti.
Si evidenzia che partecipano varie scuole di altre Regioni, grazie alla possibilità dell'online.
- se la scuola richiede un incontro specifico con uno o più dipartimenti, concordemente con quanto stabilito in Gloa (Gruppo di Lavoro per l'Orientamento di Ateneo) ogni invito viene inoltrato ai referenti Gloa presso i dipartimenti e le scuole, affinché realizzino i loro incontri;
• Attività di orientamento sviluppate dai singoli Dipartimenti, mediante incontri in presenza e online;
• Orientarsi a Roma Tre nel 2023 si è svolta in presenza presso il Nuovo Palazzo degli Uffici di Via Ostiense 133.
Nelle aule del dipartimento di Giurisprudenza sono state organizzate le presentazioni dell'offerta formativa dei Dipartimenti che sono state seguite anche in diretta streaming e che poi sono state caricate su YouTube.
I servizi sono stati presentati nelle torri, dove sono state distribuite le guide e dove le segreterie didattiche hanno anche organizzato delle postazioni con attività laboratoriali.
La sera è stato offerto un concerto di musica dal vivo ai partecipanti.
Hanno partecipato all'evento circa 4.000 studenti.
• Salone dello Studente a ottobre – novembre di ogni anno l'Ufficio orientamento partecipa all'evento organizzato da Campus presso la Nuova Fiera di Roma.
Il 17-19 ottobre 2023 è stato affittato uno stand lineare lungo 8 mt e organizzato con dei monitor dove giravano i PPT elaborati dall'Ufficio.
Sono stati distribuiti 8000 zaini e 8000 guide di Ateneo e bigliettini QR code.
Sono stati incontrati nelle aule più di 1.500 studenti in presenza e on line.
• Open Day Magistrali tra aprile e maggio 2023 è stata organizzata la prima edizione del progetto che ha visto lo sviluppo di 13 eventi dipartimentali utili a presentare l'Offerta magistrale e il post lauream.
Hanno partecipato 857 studenti, soprattutto di Roma Tre.
I servizi di orientamento online messi a disposizione dei futuri studenti universitari sono nel tempo aumentati, tenendo conto dello sviluppo delle nuove opportunità di comunicazione tramite web e tramite social.
Inoltre, durante tutte le manifestazioni di presentazione dell'offerta formativa, sono illustrati quei siti web di Dipartimento, di Ateneo, Portale dello studente, etc., che possono aiutare gli studenti nella loro scelta.
Infine, l'Ateneo valuta, di volta in volta, l'opportunità di partecipare ad ulteriori occasioni di orientamento in presenza ovvero online (Euroma2 e altre iniziative).
Il Corso di Studio in breve
Il Corso di Laurea Magistrale in Ingegneria Gestionale e dell'Automazione, afferente al Dipartimento di Ingegneria Civile, Informatica e delle Tecnologie Aeronautiche dell'Università degli Studi Roma Tre e appartenente alla classe delle Lauree Magistrali in Ingegneria Informatica LM-32, è finalizzato al conseguimento del titolo di studio universitario: Laurea Magistrale in Ingegneria Gestionale e dell'Automazione.
Il Corso di Laurea Magistrale mira a formare ingegneri informatici con elevata qualificazione professionale, specializzati nelle applicazioni gestionali e dell'automazione.
Risponde quindi a un'esigenza precisa del territorio, proveniente sia dai laureati in Ingegneria Informatica che vogliono approfondire la preparazione gestionale e dell'automazione, presente in misura embrionale nelle lauree triennali in Ingegneria Informatica, sia dalle imprese per coprire quelle posizioni di esperto informatico con competenze multidisciplinari gestionali e dell'automazione che sono richieste dal mercato del lavoro.
Il corso di studio è ad accesso libero, senza alcuna prova in ingresso, ed il requisito richiesto è il possesso di una laurea nella Classe delle Lauree in Ingegneria dell'Informazione L-08 o nella Classe delle Lauree in Ingegneria Industriale L-09.
Inoltre, è necessario che lo studente abbia competenze di: analisi matematica, geometria ed algebra, fisica, ricerca operativa, fondamenti di informatica, fondamenti di automatica, sistemi ad eventi, elettrotecnica, economia applicata all'Ingegneria, tipiche dei corsi di laurea in Ingegneria Informatica.
Pertanto, per accedere al corso di studio è necessario presentare una domanda di pre-iscrizione, documentando tutte le attività formative del proprio piano di studio relativo alla Laurea.
Il corso di studio è organizzato con (i) un primo anno dedicato al consolidamento e al rafforzamento della formazione ingegneristica di primo livello nel campo gestionale e in quello dell'automazione e (ii) un secondo anno, dedicato all'acquisizione di conoscenze avanzate e d'avanguardia nell'ambito della ingegneria informatica, gestionale e dell'automazione.
L'approfondimento delle conoscenze nelle aree Gestionale o dell'Automazione viene completato nell'ambito di appositi curricula formativi, denominati rispettivamente curriculum ‘Gestionale' e curriculum ‘Automazione dei Sistemi Complessi'.
Nel primo è previsto un maggiore approfondimento dei concetti e metodi per la risoluzione di problemi decisionali di carattere economico-gestionale tipici di organizzazioni complesse.
Nel secondo è invece previsto un maggiore approfondimento di concetti e metodi necessari alla progettazione, realizzazione e gestione di sistemi di automazione.
Il corso di studio consente l'accesso, previo superamento dell'Esame di Stato, all'Albo professionale dell'Ordine degli Ingegneri nella Sezione A, Settore dell'informazione, ed è orientato alla formazione di tecnici aventi le competenze richieste per operare in numerose realtà lavorative, incluse le industrie operanti negli ambiti della produzione di beni e servizi, le imprese informatiche, elettroniche, elettromeccaniche, in cui sono sviluppate funzioni di dimensionamento e realizzazione di architetture complesse, di sistemi automatici, di processi e impianti per l'automazione, la pubblica amministrazione, gli enti di ricerca, le imprese manifatturiere e di servizi, per l'approvvigionamento e la gestione dei materiali, per l'organizzazione delle attività, per l'organizzazione e l'automazione dei sistemi produttivi, per la logistica e il project management.
Il percorso di studi è comunque progettato per fornire tutte le competenze e conoscenze necessarie per consentire l'accesso ed una proficua fruizione di eventuali successivi corsi di dottorato di ricerca o master di secondo livello.
Le attività didattiche si svolgono in un campus organizzato e piacevole, vicino al centro di Roma, e raggiungibile facilmente con mezzi pubblici.
Le aule sono accoglienti e sono situate nello stesso edificio che ospita gli studi dei docenti, facilitando così l'interazione tra studenti e docenti.
I laboratori didattici sono ampi, moderni e bene organizzati.
Gli studenti hanno inoltre a disposizione una nuova biblioteca ed ampi spazi per lo studio.
La mensa universitaria è vicina, così come gli impianti sportivi.
Il Collegio Didattico favorisce il coinvolgimento degli studenti in attività formative presso istituzioni universitarie estere, ad esempio tramite programmi Erasmus o attraverso lo svolgimento del lavoro di tesi presso aziende, università o enti di ricerca esteri.
Lo studente espliciterà le proprie scelte al momento della presentazione,
tramite il sistema informativo di ateneo, del piano di completamento o del piano di studio individuale,
secondo quanto stabilito dal regolamento didattico del corso di studio.
Gestionale
FIRST YEAR
First semester
|
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
|
20810208 -
Decision Support Systems and Analytics
(objectives)
The aim of the course is to present the main theoretical and methodological tools for modeling decisions and for identifying the best decision support strategies. The course also aims at providing the skills on how to use the available data in analytical prescriptive models, how to read the results provided by the adopted models and how to interpret them to propose appropriate solutions to complex management problems.
|
6
|
MAT/09
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20802112 -
SIMULATION OF INDUSTRIAL AND LOGISTIC PROCESSES
(objectives)
It gives a formal instruments to model information flows and to optimize the operation management of production systems, in particular of flexible manufacturing systems.
|
9
|
ING-INF/04
|
81
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
Optional Group:
Curriculum Gestionale: I ANNO uno a scelta tra due insegnamenti - (show)
|
9
|
|
|
|
|
|
|
|
|
20810399 -
Company Economics and Strategy
(objectives)
Basic knowledge of the financial economic language by which the internal and external company relations and strategies are expressed. Developing of economic and financial evaluation of company operations. Analysis of interactions among internal organizational structures and analysis of financial and economic results drivers and measures.
|
9
|
ING-IND/35
|
81
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810532 -
BUSINESS AND OPERATION MANAGEMENT
|
Also available in another semester or year
|
|
|
Optional Group:
Curriculum Gestionale I anno: uno a scelta tra tre insegnamenti - (show)
|
6
|
|
|
|
|
|
|
|
|
20810322 -
Artificial intelligence e machine learning
(objectives)
The goal is to present the fundamental models, methods and techniques of some relevant areas of Artificial Intelligence, with particular reference to heuristic search and Machine Learning, and to use them as tools for the development of innovative technologies. As for Machine Learning, the course will allow students to learn the main methods and algorithms typical of the discipline (supervised, unsupervised and with reinforcement). The lessons and practical exercises carried out during the course will allow the student to acquire analytical and problem solving skills on various domains of interest for the discipline.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20810205 -
Digital entrepreneurship
|
Also available in another semester or year
|
|
20801686 -
DATABASES
(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.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
|
Optional Group:
Curriculum Gestionale I anno: due a scelta tra cinque insegnamenti - (show)
|
12
|
|
|
|
|
|
|
|
|
20810158 -
Model Identification and Data Analysis
|
Also available in another semester or year
|
|
20801966 -
INDUSTRIAL PRODUCTION MANAGEMENT
|
Also available in another semester or year
|
|
20801761 -
ELEMENTS OF ORGANISATION
(objectives)
Provide the notions and develop the logics necessary to understand the formal description and the actual functioning of firms and institutions, and their evolutionary tendencies related to the evolution of their operating environment. Introducing to organizational analysis, bringing the student to be able to think about the relationships between market, strategy, structure and processes from a total quality perspective and taking into account people's organizational behaviors and motivations.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20810529 -
Cybersecurity for Industrial IoT and Critical Infrastructures
|
Also available in another semester or year
|
|
20810531 -
ADVANCED PROJECT MANAGEMENT
(objectives)
Provide students with advanced knowledge for the management and direction of complex projects, also with reference to the relevant standards and legislation. At the end of the course the student will be able to manage the technical documentation and product configuration related to a complex project, as well as to manage procurement, tenders and contracts necessary for its completion.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
|
20810528 -
SYSTEM AND CONTROL THEORY
(objectives)
Provide to the students methodologies and techniques for the analysis and modeling of linear time-invariant systems by focusing on the state-space representation. Provide the knowledge for the design of feedback control systems. Derive the state-space model of Multi-Input Multi-Output systems. Provide the knowledge of the structural properties of MIMO dynamical models and the asymptotic observer for the eigenvalue assignment problem and the regulation problem. Provide the students with basic concepts for the analysis of nonlinear system.
|
9
|
ING-INF/04
|
81
|
-
|
-
|
-
|
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
|
|
20802073 -
Optimization of Public Services
(objectives)
This course gives a compendium of techniques, methods and solution
approaches to support the decision making process in the public sector. The
course is based on case studies concerning the design and the management of
public services and it is focused on the development of optimization models
and solution algorithms. Ethical and political issues, typical of the public
sector, are also addressed
|
6
|
MAT/09
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
Optional Group:
Curriculum Gestionale: I ANNO uno a scelta tra due insegnamenti - (show)
|
9
|
|
|
|
|
|
|
|
|
20810399 -
Company Economics and Strategy
|
Also available in another semester or year
|
|
20810532 -
BUSINESS AND OPERATION MANAGEMENT
(objectives)
Enable students to understand the fundamental elements of business management and provide a complete picture of the main management models and principles useful for running businesses. Provide students with principles, methodologies and tools to design, analyse and improve the operations of manufacturing and service companies, in order to significantly increase their competitiveness.
|
9
|
ING-IND/35
|
81
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
|
Optional Group:
Curriculum Gestionale I anno: uno a scelta tra tre insegnamenti - (show)
|
6
|
|
|
|
|
|
|
|
|
20810322 -
Artificial intelligence e machine learning
|
Also available in another semester or year
|
|
20810205 -
Digital entrepreneurship
(objectives)
Provide students with technical and methodological skills
necessary to conceive, develop and implement a digital business project.
The course will be divided into three parts. The first part aims to explain the reasons behind the success of digital companies (especially, but not only, startups) and digital innovation dynamics. The second part offers students the technical and methodological tools for the realization of a digital business project. The third part consists in the realization of a project and is characterized by a strongly experimental approach.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801686 -
DATABASES
|
Also available in another semester or year
|
|
|
Optional Group:
Curriculum Gestionale I anno: due a scelta tra cinque insegnamenti - (show)
|
12
|
|
|
|
|
|
|
|
|
20810158 -
Model Identification and Data Analysis
(objectives)
Introduce the student to the fundamentals of system identification applied to sampled systems (ARX and ARMAX model, ordinary least squares, recursive least squares, bayesian filtering). Introduce the student to sensor fusion. To familiarize the student with the use of the MatLab identification toolbox
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801966 -
INDUSTRIAL PRODUCTION MANAGEMENT
(objectives)
This course is aimed at providing the basic methodological tools required for production planning and control in manufacturing systems. Specific methods used in make to stock, assemble to order, make to order, and engineering to order are analyzed, also discussing the differences between push and pull production systems. The course follows the traditional hierarchical approach including aggregate production and capacity planning, master production scheduling, materials and manufacturing resources requirements planning (MRP and CRP techniques), order release planning and job scheduling. furthermore, techniques for demand forecasting and implementation of just in time lean manufacturing systems are presented. The course also provides tools to estimate the performances of manufacturing systems, i.e. the links between work in process, throughput and cycle time, including variability effects and lot sizing decisions. finally, production planning decisions are put in perspective with strategic decisions, with capacity planning issues and with inventory management problems.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801761 -
ELEMENTS OF ORGANISATION
|
Also available in another semester or year
|
|
20810529 -
Cybersecurity for Industrial IoT and Critical Infrastructures
(objectives)
The objectives will be the study and comprehension of systems of system theory and the modeling of large infrastructures (distribution networks, telecommunication networks, transportation networks). Interdependencies among different infrastructures will be analyzed with the aim of evaluating the distributed risk and designing resilient systems. Service oriented architectures will be studied as well as distributed awareness systems.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20810531 -
ADVANCED PROJECT MANAGEMENT
|
Also available in another semester or year
|
|
|
20810530 -
Macroeconomics
(objectives)
Students will gain knowledge on the behaviour and the mechanisms of economic systems, and on the drivers that influence businesses, consumers and regulatory bodies. Furthermore, advanced topics will be analysed regarding the structure of the Italian economy in the European Union and global markets.
|
6
|
ING-IND/35
|
54
|
-
|
-
|
-
|
Related or supplementary learning 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
|
|
20801784 -
LOGISTICS OPTIMISATION
(objectives)
The objective of the course is to endow the students with advanced knowledge for operations planning and scheduling in manufacturing and logistics systems. Topics include deterministic operations research methodology for the design of decision support systems, modeling, algorithms and applications.
|
9
|
MAT/09
|
81
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20801762 -
SUPPORT METHODS FOR MANAGERIAL DECISIONS
(objectives)
Give operative knowledge and methods to organize and manage the managerial activities in systematic mode in all phases that characterize the corporate decision-making. definition of the problem, its formalization. definition of constraints, objectives and alternative, development of algorithms and methods for solution, evaluation, implementation and how to certify solutions and procedures found.
|
9
|
ING-INF/04
|
81
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
Optional Group:
Curriculum Gestionale: altre attività offerte (secondo anno ) e cfu a scelta libera dello studente - (show)
|
12
|
|
|
|
|
|
|
|
|
20810210 -
Laboratory di metodi decisionali
(objectives)
Provide students with skills necessary to conceive, develop and complete a complex Operations Research project. The teaching is characterized by a highly experimental approach and will take place at the “Automation and operations research in industry” Laboratory of the Department of Engineering
|
3
|
|
27
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
20810209 -
Complex robotic systems laboratory
(objectives)
Provide students with skills necessary to conceive, develop and complete a complex robotics project. The teaching is characterized by a highly experimental approach and will take place at the Robotics Laboratory of the Department of Engineering.
|
3
|
|
27
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
|
20801785 -
SKILLS FOR THE WORLD OF WORK
|
Also available in another semester or year
|
Second semester
|
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
|
20801786 -
FINAL EXAM
(objectives)
https://ingegneria.uniroma3.it/didattica/tesi-ed-esame-di-laurea/norme-comuni/
https://ingegneria.uniroma3.it/didattica/collegio-informatica/lauree-e-tirocini/laurea-magistrale/
|
26
|
|
-
|
-
|
-
|
-
|
Final examination and foreign language test
|
ITA |
|
20801785 -
SKILLS FOR THE WORLD OF WORK
(objectives)
Frequency seminars mandatory
The course aims to present the main soft skills for employment access through seminars held by speakers from the production reality. The seminaris illustrate the job and career dynamics in different types of companies (startups, SMEs, multinationals) in different sectors (software integrators, service companies, product companies, insurance and banking groups, utilities). Soft skills include how to write an effective CV, how to address the job interview. The course also introduces basic notions of labor laws.
|
1
|
|
25
|
-
|
-
|
-
|
Other activities
|
ITA |
Automazione dei sistemi complessi
FIRST YEAR
First semester
|
Course
|
Credits
|
Scientific Disciplinary Sector Code
|
Contact Hours
|
Exercise Hours
|
Laboratory Hours
|
Personal Study Hours
|
Type of Activity
|
Language
|
|
20810528 -
SYSTEM AND CONTROL THEORY
(objectives)
Provide to the students methodologies and techniques for the analysis and modeling of linear time-invariant systems by focusing on the state-space representation. Provide the knowledge for the design of feedback control systems. Derive the state-space model of Multi-Input Multi-Output systems. Provide the knowledge of the structural properties of MIMO dynamical models and the asymptotic observer for the eigenvalue assignment problem and the regulation problem. Provide the students with basic concepts for the analysis of nonlinear system.
|
9
|
ING-INF/04
|
81
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20802112 -
SIMULATION OF INDUSTRIAL AND LOGISTIC PROCESSES
(objectives)
It gives a formal instruments to model information flows and to optimize the operation management of production systems, in particular of flexible manufacturing systems.
|
9
|
ING-INF/04
|
81
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi: I ANNO uno a scelta tra tre insegnamenti - (show)
|
6
|
|
|
|
|
|
|
|
|
20802073 -
Optimization of Public Services
|
Also available in another semester or year
|
|
20810530 -
Macroeconomics
|
Also available in another semester or year
|
|
20810534 -
CONTROL MEASURES AND TECHNOLOGIES
(objectives)
Present the main aspects of the measures and technologies to build modern control systems based on transductors, data extraction and data processing.
To present, in particular, processing of sensory data, estimation techniques for auto and cross-correlation, test signal generation, FFT based harmonic response estimation, as well as the techniques and components at the basis of the actuators of electric engines.
|
6
|
ING-IND/32
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi I anno : uno a scelta tra quattro insegnamenti - (show)
|
6
|
|
|
|
|
|
|
|
|
20810205 -
Digital entrepreneurship
|
Also available in another semester or year
|
|
20810322 -
Artificial intelligence e machine learning
(objectives)
The goal is to present the fundamental models, methods and techniques of some relevant areas of Artificial Intelligence, with particular reference to heuristic search and Machine Learning, and to use them as tools for the development of innovative technologies. As for Machine Learning, the course will allow students to learn the main methods and algorithms typical of the discipline (supervised, unsupervised and with reinforcement). The lessons and practical exercises carried out during the course will allow the student to acquire analytical and problem solving skills on various domains of interest for the discipline.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801961 -
OPERATING SYSTEMS
(objectives)
The course intend to provide: (1) competencies about a generic modern operating system, (2) competencies about the structure of a unix operating system, and specifically about linux, (3) knowledge about methodologies adopted for solving problems within the management of a modern operating system, (4) ability in the use a unix platform as a user, (5) ability in programming a unix system (scripting), (6) basic ability in system programming
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801686 -
DATABASES
(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.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi: I ANNO due a scelta tra quattro insegnamenti - (show)
|
12
|
|
|
|
|
|
|
|
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi: I ANNO uno a scelta tra due insegnamenti - (show)
|
9
|
|
|
|
|
|
|
|
|
20810399 -
Company Economics and Strategy
(objectives)
Basic knowledge of the financial economic language by which the internal and external company relations and strategies are expressed. Developing of economic and financial evaluation of company operations. Analysis of interactions among internal organizational structures and analysis of financial and economic results drivers and measures.
|
9
|
ING-IND/35
|
81
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20801715 -
MACHINES AND ELECTRIC OPERATIONS
(objectives)
The course has the purpose to describe the manufacturing features and the functional characteristics of the main rotating electrical machines, including dynamic models used for the study of the electrical machine behavior in electromechanical systems. It is expected that the student will acquire the ability to select the various electromechanical equipment used in industrial applications or in power systems for the electric energy generation. The course gives basic knowledge concerning the main configurations of the power electronic converters that are used for the control of power supply of electrical machines as well as it gives basic knowledge of the main algorithms being used in electric drives for control and monitoring of the machine performance. As a result, the course is targeted to give the know-how concerning how to select main design characteristics of an electric drive in connection with the functional specification of a given application.
|
9
|
ING-IND/32
|
81
|
-
|
-
|
-
|
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
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi: I ANNO uno a scelta tra tre insegnamenti - (show)
|
6
|
|
|
|
|
|
|
|
|
20802073 -
Optimization of Public Services
(objectives)
This course gives a compendium of techniques, methods and solution
approaches to support the decision making process in the public sector. The
course is based on case studies concerning the design and the management of
public services and it is focused on the development of optimization models
and solution algorithms. Ethical and political issues, typical of the public
sector, are also addressed
|
6
|
MAT/09
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810530 -
Macroeconomics
(objectives)
Students will gain knowledge on the behaviour and the mechanisms of economic systems, and on the drivers that influence businesses, consumers and regulatory bodies. Furthermore, advanced topics will be analysed regarding the structure of the Italian economy in the European Union and global markets.
|
6
|
ING-IND/35
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810534 -
CONTROL MEASURES AND TECHNOLOGIES
|
Also available in another semester or year
|
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi: I ANNO due a scelta tra quattro insegnamenti - (show)
|
12
|
|
|
|
|
|
|
|
|
20810529 -
Cybersecurity for Industrial IoT and Critical Infrastructures
(objectives)
The objectives will be the study and comprehension of systems of system theory and the modeling of large infrastructures (distribution networks, telecommunication networks, transportation networks). Interdependencies among different infrastructures will be analyzed with the aim of evaluating the distributed risk and designing resilient systems. Service oriented architectures will be studied as well as distributed awareness systems.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801966 -
INDUSTRIAL PRODUCTION MANAGEMENT
(objectives)
This course is aimed at providing the basic methodological tools required for production planning and control in manufacturing systems. Specific methods used in make to stock, assemble to order, make to order, and engineering to order are analyzed, also discussing the differences between push and pull production systems. The course follows the traditional hierarchical approach including aggregate production and capacity planning, master production scheduling, materials and manufacturing resources requirements planning (MRP and CRP techniques), order release planning and job scheduling. furthermore, techniques for demand forecasting and implementation of just in time lean manufacturing systems are presented. The course also provides tools to estimate the performances of manufacturing systems, i.e. the links between work in process, throughput and cycle time, including variability effects and lot sizing decisions. finally, production planning decisions are put in perspective with strategic decisions, with capacity planning issues and with inventory management problems.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801761 -
ELEMENTS OF ORGANISATION
|
Also available in another semester or year
|
|
20810400 -
ADVANCED CONTROL SYSTEMS
(objectives)
The course aims to provide solid mathematical principles for understanding interconnected dynamical systems, also known as multi-agent distributed systems, with particular attention to the Perron-Frobenius theory.
The learning objectives of the course include an understanding of dynamic phenomena related to multi-agent systems, including consensus, as well as the ability to design and analyze distributed algorithms for such systems.
During the course knowledge will be acquired in the analysis of multi-agent dynamical systems using matrix and graph theory. In particular, mathematical methods will be proposed to analyze matrices with non-negative components, representing the interconnection between heterogeneous actors, in order to identify the structural properties of the underlying network.
During the course students will deepen the analysis of interconnected dynamical systems through matrix and graph theory, working on examples to better understand the concepts presented.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi I anno : uno a scelta tra quattro insegnamenti - (show)
|
6
|
|
|
|
|
|
|
|
|
20810205 -
Digital entrepreneurship
(objectives)
Provide students with technical and methodological skills
necessary to conceive, develop and implement a digital business project.
The course will be divided into three parts. The first part aims to explain the reasons behind the success of digital companies (especially, but not only, startups) and digital innovation dynamics. The second part offers students the technical and methodological tools for the realization of a digital business project. The third part consists in the realization of a project and is characterized by a strongly experimental approach.
|
6
|
ING-INF/05
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20810322 -
Artificial intelligence e machine learning
|
Also available in another semester or year
|
|
20801961 -
OPERATING SYSTEMS
|
Also available in another semester or year
|
|
20801686 -
DATABASES
|
Also available in another semester or year
|
|
|
20810158 -
Model Identification and Data Analysis
(objectives)
Introduce the student to the fundamentals of system identification applied to sampled systems (ARX and ARMAX model, ordinary least squares, recursive least squares, bayesian filtering). Introduce the student to sensor fusion. To familiarize the student with the use of the MatLab identification toolbox
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20410163 -
ELECTIVE CFU (SELECTED BY THE STUDENT)
(objectives)
The 12 credits of the student's free choice can be used to take exams by freely choosing from the exams offered by the University.
Some rules and some indications:
eligibility cannot be chosen
it is strongly recommended to include only exams offered by the Department of Engineering or check with the teacher of another department the availability of the activity
|
6
|
|
54
|
-
|
-
|
-
|
Elective 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
|
|
20802143 -
Robotics
(objectives)
The course focuses on the kinematic and dynamic modelling, the control and the motion planning of industrial manipulators and mobile platforms (autonomous vehicles). At the end of the course the student will be able to partecipate to projects involving the design and the use of robots.
|
9
|
ING-INF/04
|
81
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20802136 -
CYBER PHYSICAL SYSTEMS
(objectives)
The design of Cyber-Physical Systems (CPS) requires multi-disciplinary skills. In particular, the combined knowledge of various disciplines such as, control theory, signal processing, fault detection, and real-time computing, is crucial for the effective developments of CPS. Consequently, the course aims at providing to the students basics on such thematic areas considering a system-oriented approach. Moreover, also innovative methodologies for fault diagnosis and protection of CPS will be discussed considering the direct study of advanced research papers.
|
6
|
ING-INF/04
|
54
|
-
|
-
|
-
|
Core compulsory activities
|
ITA |
|
20801785 -
SKILLS FOR THE WORLD OF WORK
|
Also available in another semester or year
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi: altre attività offerte (secondo anno) e cfu a scelta libera dello studente - (show)
|
6
|
|
|
|
|
|
|
|
|
20810209 -
Complex robotic systems laboratory
(objectives)
Provide students with skills necessary to conceive, develop and complete a complex robotics project. The teaching is characterized by a highly experimental approach and will take place at the Robotics Laboratory of the Department of Engineering.
|
3
|
ING-INF/04
|
27
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
20810210 -
Laboratory di metodi decisionali
(objectives)
Provide students with skills necessary to conceive, develop and complete a complex Operations Research project. The teaching is characterized by a highly experimental approach and will take place at the “Automation and operations research in industry” Laboratory of the Department of Engineering
|
3
|
MAT/09
|
27
|
-
|
-
|
-
|
Elective activities
|
ITA |
|
|
Optional Group:
Curriculum Automazione dei Sistemi Complessi: II ANNO uno a scelta tra due insegnamenti - (show)
|
9
|
|
|
|
|
|
|
|
|
20801784 -
LOGISTICS OPTIMISATION
(objectives)
The objective of the course is to endow the students with advanced knowledge for operations planning and scheduling in manufacturing and logistics systems. Topics include deterministic operations research methodology for the design of decision support systems, modeling, algorithms and applications.
|
9
|
MAT/09
|
81
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810533 -
DECISION SUPPORT SYSTEMS AND APPLICATIONS
(objectives)
The aim of the course is to present the main theoretical and methodological tools for modeling decisions and for identifying the best decision support strategies. The course also aims at providing the skills on how to use the available data in analytical prescriptive models, how to read the results provided by the adopted models and how to interpret them to propose appropriate solutions to complex management problems.
Provide students with skills necessary to conceive, develop and complete a complex Operations Research project. The teaching is characterized by a highly experimental approach and will take place at the “Automation and operations research in industry” Laboratory of the Department of Engineering.
|
|
|
20810533-1 -
DECISION SUPPORT SYSTEMS AND ANALYTICS
(objectives)
The aim of the course is to present the main theoretical and methodological tools for modeling decisions and for identifying the best decision support strategies. The course also aims at providing the skills on how to use the available data in analytical prescriptive models, how to read the results provided by the adopted models and how to interpret them to propose appropriate solutions to complex management problems.
|
6
|
MAT/09
|
54
|
-
|
-
|
-
|
Related or supplementary learning activities
|
ITA |
|
20810533-2 -
Decision-making methods laboratory
(objectives)
Provide students with skills necessary to conceive, develop and complete a complex Operations Research project. The teaching is characterized by a highly experimental approach and will take place at the “Automation and operations research in industry” Laboratory of the Department of Engineering.
|
3
|
MAT/09
|
27
|
-
|
-
|
-
|
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
|
|
20801786 -
FINAL EXAM
(objectives)
https://ingegneria.uniroma3.it/didattica/tesi-ed-esame-di-laurea/norme-comuni/
https://ingegneria.uniroma3.it/didattica/collegio-informatica/lauree-e-tirocini/laurea-magistrale/
|
26
|
|
-
|
-
|
-
|
-
|
Final examination and foreign language test
|
ITA |
|
20801785 -
SKILLS FOR THE WORLD OF WORK
(objectives)
Frequency seminars mandatory
The course aims to present the main soft skills for employment access through seminars held by speakers from the production reality. The seminaris illustrate the job and career dynamics in different types of companies (startups, SMEs, multinationals) in different sectors (software integrators, service companies, product companies, insurance and banking groups, utilities). Soft skills include how to write an effective CV, how to address the job interview. The course also introduces basic notions of labor laws.
|
1
|
|
25
|
-
|
-
|
-
|
Other activities
|
ITA |
Università Roma Tre