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Corso di Laurea Magistrale in Ingegneria Informatica
Siti web:
corsidilaurea.uniroma1.it/it/corso/2017/ingegneria-informatica/
e
cclii.dis.uniroma1.it
Ingegneria Informatica
• L'ingegneria informatica è la branca dell'ingegneria che si
occupa dell'analisi, del progetto, dello sviluppo e della
manutenzione dei sistemi per l'elaborazione dell'informazione
• L’ingegnere informatico è un professionista che svolge attività di
pianificazione, progettazione, realizzazione, gestione e esercizio
di sistemi e infrastrutture per la rappresentazione, la
trasmissione e l'elaborazione delle informazioni
MSc in Engineering in Computer Science
Laurea Magistrale MINR
• L’obiettivo della laurea Magistrale in Ingegneria informatica
Master of Science in Engineering in Computer Science (MINR) è
duplice:
– Completare la formazione dell’ingegnere informatico attraverso lo studio
di metodologie ed aspetti teorici.
– Introdurre lo studente ad argomenti specializzati anche attraverso lo
studio dell’attuale stato dell’arte nei rispettivi ambiti di ricerca
• Il corso di laurea forma persone per:
– Inserimento diretto nel mondo del lavoro
– Specializzazione in corsi di formazione avanzata
• Dottorato di ricerca
• Master di 2° livello
MSc in Engineering in Computer Science
Laurea Magistrale
MSc in Engineering in Computer Science
Scuola
superiore
Laurea
triennale
Laurea
magistrale Dottorato
Master 1°
livello
Master 2°
livello
Mondo del lavoro
MINR in Inglese!
• Il corso di laurea MINR è erogato completamente in Inglese
• Perché?
– L’ingegneria informatica è un settore ad altissimo livello di
internazionalizzazione
– Capacità degli studenti spendibili in un contesto internazionale
– Contribuire alla competitività delle aziende Italiane
– Attrarre giovani talenti da altri paesi
• Ma funziona?
– 5 anni di esperienza con un doppio canale + 5 anni solo inglese
– Alto grado di internazionalizzazione dei docenti
– Lezioni erogate anche da docenti stranieri
MSc in Engineering in Computer Science
MINR: Struttura del CurriculumInsegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/04
• Laboratory of Network Design and Configuration
• MARR
• …
Idoneità obbligatorie (6cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Tesi e prova finale (30cfu)
Insegnamenti a scelta dello studente (12cfu)
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Performance Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Esempio Percorso: Data and Information Management
Insegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/04
• Laboratory of Network Design and Configuration
• MARR
• …
Idoneità obbligatorie (9cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Tesi e prova finale (30cfu)
Insegnamenti a scelta dello studente (12cfu)
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Performance Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Esempio Percorso: Big Data Analytics Technologies
Insegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/04
• Laboratory of Network Design and Configuration
• MARR
• …
Idoneità obbligatorie (9cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Tesi e prova finale (30cfu)
Insegnamenti a scelta dello studente (12cfu)• Optimization Methods in Machine Learning• Stochastic Processes in Data Science (MSc. Data
Science)
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Performance Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Esempio Percorso: Software and Application Development
Insegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/04
• Laboratory of Network Design and Configuration
• MARR
• …
Idoneità obbligatorie (9cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Tesi e prova finale (30cfu)
Insegnamenti a scelta dello studente (12cfu)
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Performance Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Esempio Percorso: Cloud Computing
Insegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/04
• Laboratory of Network Design and Configuration
• MARR
• …
Idoneità obbligatorie (9cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Tesi e prova finale (30cfu)
Insegnamenti a scelta dello studente (12cfu)
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Perfor. Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Esempio Percorso: Cyber Security Technologies
Insegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/03
• Laboratory of Network Design and Configuration
• MARR
• …
Idoneità obbligatore (9cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Tesi e prova finale (30cfu)
Insegnamenti a scelta dello studente (12cfu)
• Corsi da MSc in Cyber Security
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Performance Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Esempio perc.: Smart Environments and Internet of Things
Insegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/03
• Laboratory of Network Design and Configuration
• MARR
• …
Idoneità obbligatore (9cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Insegnamenti a scelta dello studente (12cfu):
• Product Design Studio 3 (12cfu) da MSc. Product Design (Architettura)
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Performance Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Tesi e prova finale (30cfu)
Esempio Percorso: Artificial Intelligence Technologies
Insegnamenti obbligatori (30cfu):• Advanced Programming (6cfu)• Algorithm Design (6cfu)• Data Management (6cfu)• Distributed Systems and
Computer and Network Security (12cfu)• Artificial Intelligence I oppure
Machine Learning (6cfu)
Insegnamenti ingegneristici (almeno 6 cfu):
• Network Infrastructure ING-INF/03
• Embedded Systems ING-INF/03
• Neural Networks ING-IND/31
• Natural Language Processing INF/01
• Network Traffic Engineering ING-INF/03
• Control of Communication and Energy Networks ING-INF/04
• Laboratory of Network Design and Configuration
• MARR
• …
Insegnamenti obbligatori – idoneita (9cfu):
• Seminars in Advanced Topics in Computer Science Engineering (6cfu)
Tesi e prova finale (30cfu)
Insegnamenti a scelta dello studente (12cfu)
Algorithms
• Big Data Computing
• Data Mining
• Probabilistic Methods for the Analysis of Experimental Data
• Social Networks and On-line Markets
Data Management
• Knowledge Representation and Semantic Technologies
• Large-Scale Data Management
• Visual Analytics
Software Engineering
• Formal Methods
• Software Engineering
• Human Computer Interaction
• Process and Service Modeling and Analysis
Software Applications
• Mobile Applications and Cloud Computing
• Web Information Retrieval
• Web Security and Privacy
Systems
• Advanced Operating Systems and Virtualization
• Capacity Planning
• Data Centers and High Perfor. Computing
• Microcontroller System Design
• Pervasive Systems
• System Enterprise Security
Insegnamenti opzionali (36cfu)
Insegnamenti presi da MARR:
• Artificial Intelligence I+II (12cfu)
• Planning and Reasoning
• Vision and Perception
Erasmus
MSc in Engineering in Computer Science
Programma
Erasmus
Programma
Erasmus
Percorso di eccellenza
• Ha lo scopo di valorizzare la formazione degli studenti meritevoli
ed interessati ad attività di approfondimento scientifico.
• Consiste in
– Attività formative aggiuntive
• Seminari
• Corsi per studenti di dottorato
– Integrazione con i gruppi di ricerca nell’ambito di attività scientifiche
• Possono richiedere l'accesso al percorso di eccellenza gli
studenti che al termine del primo anno di corso
– abbiano acquisito almeno 40 crediti formativi universitari (CFU)
– con media non inferiore a 27/30.
• Il numero massimo di studenti ammessi al percorso di
eccellenza è 10.
MSc in Engineering in Computer Science
Ambiente stimolante
• Sede prevalente dei corsi è il
palazzo del DIAG
• Strutture disponibili:
– Aule attrezzate
– Biblioteca
– Aule per tesisti
– Laboratori di ricerca
• Coinvolgimento degli studenti in attività collaterali
– Seminari
– Conferenze organizzate nella struttura
– Eventi
MSc in Engineering in Computer Science
MSc in Engineering in Computer Science
Questions?
