CORSO DI LAUREA:
DATA SCIENCE
Questo file ha lo scopo di assistere lo studente che desidera partecipare al progetto Erasmus+, durante la fase di realizzazione del Learning Agreement.Di seguito è riportato un elenco di esami del corso, a ciascuno dei quali è associata una tabella che presenta dei suggerimenti di Learning Agreement che consentono di convalidare tale esame, basati su esami convalidati negli anni precedenti.
Gli esami e i contenuti dei corsi cambiano ogni anno, pertanto non è garantito che gli esami riportati sono ancora validi. Consultate il bando, le pagine delle università ospitanti e il/la RAM del vostro corso di studi.
ESAMI:
ADVANCED MACHINE LEARNING| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| AUSTRIA | UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA - FH OO STUDIENBETRIEBS, HAGENBERG CAMPUS | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Academic Writing | 3.00 | I |
| Heuristic and Evolutionary Algorithms | 5.00 | I | ||||||
| Thesis | 25.00 | I | ||||||
| FINLANDIA | HELSINGIN YLIOPISTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Big Data Platforms | 5.00 | I |
| CLOUD COMPUTING | 6.00 | Cryptography in Networking | 5.00 | I | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | I | ||||
| EARTH OBSERVATION DATA ANALYSIS | 6.00 | Statistical tools for climate and atmospheric sciences | 5.00 | I | ||||
| GERMANIA | ALBERT- LUDWIGS UNIVERSITÄT FREIBURG | 0 | 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Bioinformatics 1 | 6.00 | I |
| BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Computer Vision | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Foundations of Deep Learning | 6.00 | I | ||||
| Machine Learning | 6.00 | I | ||||||
| GERMANIA | JOHANN WOLFGANG GOETHE UNIVERSITÄT | 0 | 1, 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Deutsch Intensiv für Austauschstudierende - A | 9.00 | I |
| MACHINE LEARNING | 6.00 | Machine Learning I | 6.00 | I | ||||
| Master Thesis | 30.00 | II | ||||||
| Seminar Pattern Analysis and Machine Intelligence | 5.00 | I | ||||||
| GERMANIA | RWTH Aachen University [RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN] | 0 | 1, 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Fundamentals of Business Process Management | 6.00 | I |
| DATA PRIVACY AND SECURITY | 6.00 | IT-Security 1 - Cryptographic Basics and Network Security | 6.00 | I | ||||
| PROCESS MANAGEMENT AND MINING | 6.00 | Machine Learning | 6.00 | I | ||||
| Optimization in Engineering | 4.00 | I | ||||||
| Seminar: Intelligent Processing and Analysis of Data | 4.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Digital Signal Processing | 5.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Machine Learning and Optimization | 5.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Machine Learning for Computer Vision | 5.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning for Graphs and Sequential Data | 5.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Master's Thesis | 30.00 | II | ||||
| Natural Language Processing | 6.00 | I | ||||||
| eminar: Opening the Black Box: Trends in explainable AI | 5.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Deep Learning for Computer Vision: Visual Computing | 8.00 | II |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Advanced Deep Learning for Physics | 6.00 | II | ||||
| COMPUTER VISION | 6.00 | Auction Theory and Market Design | 5.00 | I | ||||
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Natural Language Processing | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Seminar Course Deep Learning in Computer Graphics | 5.00 | I | ||||
| GERMANIA | UNIVERSITAT PADERBORN | 0 | 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Machine Learning 1 | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning 2 | 6.00 | II | ||||
| Statistical and Machine Learning | 6.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Concepts in Machine Learning | 6.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Algorithms for Big Data | 6.00 | II | ||||
| DATA DRIVEN ECONOMICS | 6.00 | Data Mining | 6.00 | I | ||||
| DATA MINING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model Identification and Data Fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Research Project DSDM 1 | 6.00 | I | ||||
| Signal and Image Processing | 6.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced concept in machine learning | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Mathematical optimization | 6.00 | I | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model identification and data fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Stochastic decision making | 6.00 | I | ||||
| PORTOGALLO | UNIVERSIDADE DO PORTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Data Science for Business | 6.00 | I |
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Human-Computer Interaction | 6.00 | I | ||||
| HUMAN COMPUTER INTERACTION ON THE WEB | 6.00 | New Service Development and Design | 6.00 | I | ||||
| INNOVATION AND ECONOMIC DEVELOPMENT | 6.00 | Service Management | 6.00 | I | ||||
| SVIZZERA | EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Applied Data Analysis | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Deep Learning | 4.00 | II | ||||
| LINGUA FRANCESE I | 6.00 | Financial big data | 3.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | French A2/B1 | 3.00 | II | ||||
| Introduction to natural language processing | 4.00 | I | ||||||
| Machine Learning | 7.00 | I | ||||||
| Mathematical modelling of behavior | 5.00 | I | ||||||
| knowledge distillation for on-device short text classification | 30.00 | II | ||||||
| SVIZZERA | UNIVERSITA DELLA SVIZZERA ITALIANA (USI) | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Topics in Machine Learning | 3.00 | I |
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Artificial Intelligence | 6.00 | I | ||||
| Deep Learning Lab | 3.00 | I | ||||||
| High-Performance Computing | 6.00 | I | ||||||
| Machine Learning | 6.00 | I |
ARTIFICIAL INTELLIGENCE
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| BELGIO | VRIJE UNIVERSITEIT BRUSSEL | 0 | 2 | ARTIFICIAL INTELLIGENCE | 6.00 | Data Analytcs in Health Care and Connected Care | 6.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | EUTOPIA Learning Unit - Techniques of Articial Intelligenc | 6.00 | II | ||||
| DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 6.00 | Informaton Retrieval and Data Mining | 6.00 | II | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statstcal Foundatons of Machine Learning | 6.00 | II | ||||
BASI DI DATI
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| AUSTRIA | UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA - FH OO STUDIENBETRIEBS, HAGENBERG CAMPUS | 0 | 1, 2 | BASI DI DATI | 6.00 | Academic Writing | 3.00 | I |
| Data Warehousing and OLAP | 5.00 | I |
BIG DATA COMPUTING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| PORTOGALLO | UNIVERSIDADE NOVA DE LISBOA | 0 | 1 | BIG DATA COMPUTING | 6.00 | Big Data Analytics | 7.50 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Intelligence I | 7.50 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Descriptive Methods of Data Mining | 7.50 | I | ||||
| DATA-DRIVEN MODELING OF COMPLEX SYSTEMS | 6.00 | Neuroevolution | 4.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Social Media Analytics | 7.50 | II | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 |
BIG DATA FOR OFFICIAL STATISTICS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FRANCIA | ASSOCIATION ISEP - EDOUARD BRANLY | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Cybersecurity | 5.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Data Analysis | 5.00 | II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | II | ||||
| LINGUA FRANCESE | 6.00 | Language : French | 5.00 | II | ||||
| Networks Security | 5.00 | II | ||||||
| FRANCIA | ECOLE NATIONALE DE LA STATISTIQUE ET DE L'ANALYSE DE L'INFORMATION | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Gestion de la relation client | 1.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Introduction au revenue management | 1.00 | I | ||||
| MARKETING AND INNOVATION MANAGEMENT | 6.00 | Introduction à la data science | 1.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Introdution au marketing | 1.00 | I | ||||
| Markstrat challenge | 0.00 | I | ||||||
| Methodes d'agregation | 1.50 | I | ||||||
| Methodes de scoring | 2.00 | I | ||||||
| Modeles approfondis en RM | 0.00 | I | ||||||
| Modeles de regression penalisee | 1.50 | I | ||||||
| Optimisation Dynamique | 1.00 | I | ||||||
| Optimisation Lineaire | 1.00 | I | ||||||
| Optimisation Stochastique | 1.00 | I | ||||||
| Projet d'entreprise | 1.00 | I | ||||||
| Projets de recherche | 1.00 | I | ||||||
| Reseaux de neurones | 1.00 | I | ||||||
| Separateur a vaste marge | 1.00 | I | ||||||
| econometrie des donnees de panel | 2.00 | I | ||||||
| marketing digital | 0.00 | I | ||||||
| marketing experientiel | 0.00 | I | ||||||
| modeles a equations structurelles | 2.00 | I | ||||||
| modeles de prevision avec series temporelles | 2.00 | I | ||||||
| modeles de regression bayesienne | 1.00 | I | ||||||
| politique tarifaire | 1.00 | I | ||||||
| principe economique du RM:theorie et tratique | 0.00 | I | ||||||
| python et Spark | 1.00 | I | ||||||
| seminaires professionnesls | 0.00 | I | ||||||
| web dataminig | 1.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Digital Signal Processing | 5.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Machine Learning and Optimization | 5.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Machine Learning for Computer Vision | 5.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning for Graphs and Sequential Data | 5.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Master's Thesis | 30.00 | II | ||||
| Natural Language Processing | 6.00 | I | ||||||
| eminar: Opening the Black Box: Trends in explainable AI | 5.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Deep Learning for Computer Vision: Visual Computing | 8.00 | II |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Advanced Deep Learning for Physics | 6.00 | II | ||||
| COMPUTER VISION | 6.00 | Auction Theory and Market Design | 5.00 | I | ||||
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Natural Language Processing | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Seminar Course Deep Learning in Computer Graphics | 5.00 | I | ||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Concepts in Machine Learning | 6.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Algorithms for Big Data | 6.00 | II | ||||
| DATA DRIVEN ECONOMICS | 6.00 | Data Mining | 6.00 | I | ||||
| DATA MINING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model Identification and Data Fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Research Project DSDM 1 | 6.00 | I | ||||
| Signal and Image Processing | 6.00 | I |
BIOINFORMATICS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | ALBERT- LUDWIGS UNIVERSITÄT FREIBURG | 0 | 2, 3 | BIOINFORMATICS | 6.00 | Bioinformatik I / Bioinformatics I | 6.00 | I |
| CRYPTOGRAPHY | 6.00 | Data Collection, - Storage, - Management | 5.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Einführung in die Kryptographie/Introduction to Cryptography | 6.00 | I | ||||
| Foundations of Deep Learning | 6.00 | I | ||||||
| Hardware Security and Trust | 6.00 | I | ||||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Complex and social networks | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Kernel based machine learning and multivariate modeling | 6.00 | I | ||||
| Randomized Algorithms | 6.00 | I | ||||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Network | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Kernel-Based Machine Learning and Multivariate Modelling | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Networks | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Information Retrieval | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
BIOINFORMATICS AND NETWORK MEDICINE
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | ALBERT- LUDWIGS UNIVERSITÄT FREIBURG | 0 | 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Bioinformatics 1 | 6.00 | I |
| BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Computer Vision | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Foundations of Deep Learning | 6.00 | I | ||||
| Machine Learning | 6.00 | I | ||||||
| GERMANIA | RWTH Aachen University [RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN] | 0 | 1, 2, 3 | BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Computer Vision 2 | 6.00 | I |
| Data Analysis and Visualization | 4.00 | I | ||||||
| Introduction to Bioinformatics | 4.00 | I | ||||||
| Machine Learning | 6.00 | I | ||||||
| Optimization in Engineering | 4.00 | I | ||||||
| SVIZZERA | UNIVERSITA DELLA SVIZZERA ITALIANA (USI) | 0 | 1, 2 | BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Advanced Topics in Machine Learning | 3.00 | I |
| DATA DRIVEN ECONOMICS | 6.00 | Analysis of Social Networks | 6.00 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Bioinformatics | 6.00 | I | ||||
| MACHINE LEARNING | 6.00 | Deep Learning Lab | 3.00 | I | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | Financial Econometrics | 6.00 | I | ||||
| Information Retrieval | 6.00 | I | ||||||
| Machine Learning | 6.00 | I |
CLOUD COMPUTING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FINLANDIA | HELSINGIN YLIOPISTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Big Data Platforms | 5.00 | I |
| CLOUD COMPUTING | 6.00 | Cryptography in Networking | 5.00 | I | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | I | ||||
| EARTH OBSERVATION DATA ANALYSIS | 6.00 | Statistical tools for climate and atmospheric sciences | 5.00 | I | ||||
| ROMANIA | UNIVERSITATEA "BABES-BOLYAI" DIN CLUJ-NAPOCA | 0 | 1, 2 | CLOUD COMPUTING | 6.00 | Data streams | 7.00 | II |
| DATA MANAGEMENT FOR DATA SCIENCE | 6.00 | Grid, cluster and cloud computing | 8.00 | II | ||||
| NETWORKING FOR BIG DATA AND LABORATORY | 9.00 | Scientific data visualization | 7.00 | II | ||||
| Security protocolls in communications | 8.00 | II |
COMPUTER VISION
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Deep Learning for Computer Vision: Visual Computing | 8.00 | II |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Advanced Deep Learning for Physics | 6.00 | II | ||||
| COMPUTER VISION | 6.00 | Auction Theory and Market Design | 5.00 | I | ||||
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Natural Language Processing | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Seminar Course Deep Learning in Computer Graphics | 5.00 | I | ||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | COMPUTER VISION | 6.00 | Computer Vision | 6.00 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Data Fusion | 6.00 | II | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| Explainable AI | 6.00 | II | ||||||
| SPAGNA | UNIVERSIDAD DE BARCELONA | 0 | 1, 2 | COMPUTER VISION | 6.00 | BAYESIAN STATISTICS AND PROBABILISM PROGRAMMING | 6.00 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Analytics | 3.00 | II | ||||
| COMPUTER VISION | 3.00 | II | ||||||
| Natural Language Processing | 3.00 | II | ||||||
| Time Series Analysis | 3.00 | II |
CRYPTOGRAPHY
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | ALBERT- LUDWIGS UNIVERSITÄT FREIBURG | 0 | 2, 3 | BIOINFORMATICS | 6.00 | Bioinformatik I / Bioinformatics I | 6.00 | I |
| CRYPTOGRAPHY | 6.00 | Data Collection, - Storage, - Management | 5.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Einführung in die Kryptographie/Introduction to Cryptography | 6.00 | I | ||||
| Foundations of Deep Learning | 6.00 | I | ||||||
| Hardware Security and Trust | 6.00 | I | ||||||
| SVEZIA | LINKÖPINGS UNIVERSITET | 0 | 2 | CRYPTOGRAPHY | 6.00 | Computer Security | 6.00 | I |
| DATA PRIVACY AND SECURITY | 6.00 | Cryptology | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Large Scale Optimization | 6.00 | I | ||||
| Networks: Models, Algorithms and Applications | 6.00 | I | ||||||
| Strategy and digitisation - technology, standards and network effects | 6.00 | I | ||||||
| Supply Chain Optimization | 6.00 | I |
DATA AND NETWORK SECURITY
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| REGNO UNITO | KINGSTON UNIVERSITY | 0 | 1, 2, 3 | DATA AND NETWORK SECURITY | 6.00 | Database Application Development | 7.50 | I |
| DATA MANAGEMENT FOR DATA SCIENCE | 6.00 | Internet Security | 15.00 | I/II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Networking Concepts | 7.50 | I | ||||
| NETWORKING FOR BIG DATA AND LABORATORY | 9.00 |
DATA DRIVEN ECONOMICS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Concepts in Machine Learning | 6.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Algorithms for Big Data | 6.00 | II | ||||
| DATA DRIVEN ECONOMICS | 6.00 | Data Mining | 6.00 | I | ||||
| DATA MINING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model Identification and Data Fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Research Project DSDM 1 | 6.00 | I | ||||
| Signal and Image Processing | 6.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | COMPUTER VISION | 6.00 | Computer Vision | 6.00 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Data Fusion | 6.00 | II | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| Explainable AI | 6.00 | II | ||||||
| PORTOGALLO | UNIVERSIDADE NOVA DE LISBOA | 0 | 1 | BIG DATA COMPUTING | 6.00 | Big Data Analytics | 7.50 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Intelligence I | 7.50 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Descriptive Methods of Data Mining | 7.50 | I | ||||
| DATA-DRIVEN MODELING OF COMPLEX SYSTEMS | 6.00 | Neuroevolution | 4.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Social Media Analytics | 7.50 | II | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | |||||||
| SPAGNA | UNIVERSIDAD DE BARCELONA | 0 | 1, 2 | COMPUTER VISION | 6.00 | BAYESIAN STATISTICS AND PROBABILISM PROGRAMMING | 6.00 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Analytics | 3.00 | II | ||||
| COMPUTER VISION | 3.00 | II | ||||||
| Natural Language Processing | 3.00 | II | ||||||
| Time Series Analysis | 3.00 | II | ||||||
| SVIZZERA | UNIVERSITA DELLA SVIZZERA ITALIANA (USI) | 0 | 1, 2 | BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Advanced Topics in Machine Learning | 3.00 | I |
| DATA DRIVEN ECONOMICS | 6.00 | Analysis of Social Networks | 6.00 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Bioinformatics | 6.00 | I | ||||
| MACHINE LEARNING | 6.00 | Deep Learning Lab | 3.00 | I | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | Financial Econometrics | 6.00 | I | ||||
| Information Retrieval | 6.00 | I | ||||||
| Machine Learning | 6.00 | I |
DATA MANAGEMENT FOR DATA SCIENCE
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| REGNO UNITO | KINGSTON UNIVERSITY | 0 | 1, 2, 3 | DATA AND NETWORK SECURITY | 6.00 | Database Application Development | 7.50 | I |
| DATA MANAGEMENT FOR DATA SCIENCE | 6.00 | Internet Security | 15.00 | I/II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Networking Concepts | 7.50 | I | ||||
| NETWORKING FOR BIG DATA AND LABORATORY | 9.00 | |||||||
| ROMANIA | UNIVERSITATEA "BABES-BOLYAI" DIN CLUJ-NAPOCA | 0 | 1, 2 | CLOUD COMPUTING | 6.00 | Data streams | 7.00 | II |
| DATA MANAGEMENT FOR DATA SCIENCE | 6.00 | Grid, cluster and cloud computing | 8.00 | II | ||||
| NETWORKING FOR BIG DATA AND LABORATORY | 9.00 | Scientific data visualization | 7.00 | II | ||||
| Security protocolls in communications | 8.00 | II |
DATA MINING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Concepts in Machine Learning | 6.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Algorithms for Big Data | 6.00 | II | ||||
| DATA DRIVEN ECONOMICS | 6.00 | Data Mining | 6.00 | I | ||||
| DATA MINING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model Identification and Data Fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Research Project DSDM 1 | 6.00 | I | ||||
| Signal and Image Processing | 6.00 | I |
DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| BELGIO | VRIJE UNIVERSITEIT BRUSSEL | 0 | 2 | ARTIFICIAL INTELLIGENCE | 6.00 | Data Analytcs in Health Care and Connected Care | 6.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | EUTOPIA Learning Unit - Techniques of Articial Intelligenc | 6.00 | II | ||||
| DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 6.00 | Informaton Retrieval and Data Mining | 6.00 | II | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statstcal Foundatons of Machine Learning | 6.00 | II | ||||
| FRANCIA | ASSOCIATION ISEP - EDOUARD BRANLY | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Cybersecurity | 5.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Data Analysis | 5.00 | II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | II | ||||
| LINGUA FRANCESE | 6.00 | Language : French | 5.00 | II | ||||
| Networks Security | 5.00 | II | ||||||
| GERMANIA | UNIVERSITAT PADERBORN | 0 | 2, 3 | DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Econometrics | 10.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | German course | 8.00 | II | ||||
| LINGUISTICA TEDESCA | 6.00 | Machine Learning I | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning II | 6.00 | II | ||||
| Master Thesis | 30.00 | II | ||||||
| Statistical Natural Language Processing | 6.00 | I | ||||||
| Statistical Signal Processing | 6.00 | I | ||||||
| PORTOGALLO | UNIVERSIDADE NOVA DE LISBOA | 0 | 1 | BIG DATA COMPUTING | 6.00 | Big Data Analytics | 7.50 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Intelligence I | 7.50 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Descriptive Methods of Data Mining | 7.50 | I | ||||
| DATA-DRIVEN MODELING OF COMPLEX SYSTEMS | 6.00 | Neuroevolution | 4.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Social Media Analytics | 7.50 | II | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | |||||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Network | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Kernel-Based Machine Learning and Multivariate Modelling | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Networks | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Information Retrieval | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
| SVIZZERA | EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Applied Data Analysis | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Deep Learning | 4.00 | II | ||||
| LINGUA FRANCESE I | 6.00 | Financial big data | 3.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | French A2/B1 | 3.00 | II | ||||
| Introduction to natural language processing | 4.00 | I | ||||||
| Machine Learning | 7.00 | I | ||||||
| Mathematical modelling of behavior | 5.00 | I | ||||||
| knowledge distillation for on-device short text classification | 30.00 | II | ||||||
| SVIZZERA | EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 0 | 1, 2 | DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Applied data analysis | 6.00 | I |
| LINGUA E TRADUZIONE FRANCESE | 6.00 | EPFL-301 - Projet spécifique pour étudiant d'échange/visiteur | 5.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | French Course | 3.00 | I | ||||
| Machine Learning | 7.00 | I | ||||||
| Machine learning for Digital Humanities | 4.00 | I | ||||||
| Mathematical modelling of behavior | 5.00 | I | ||||||
| SVIZZERA | UNIVERSITA DELLA SVIZZERA ITALIANA (USI) | 0 | 1, 2 | BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Advanced Topics in Machine Learning | 3.00 | I |
| DATA DRIVEN ECONOMICS | 6.00 | Analysis of Social Networks | 6.00 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Bioinformatics | 6.00 | I | ||||
| MACHINE LEARNING | 6.00 | Deep Learning Lab | 3.00 | I | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | Financial Econometrics | 6.00 | I | ||||
| Information Retrieval | 6.00 | I | ||||||
| Machine Learning | 6.00 | I |
DATA PRIVACY AND SECURITY
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FINLANDIA | HELSINGIN YLIOPISTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Big Data Platforms | 5.00 | I |
| CLOUD COMPUTING | 6.00 | Cryptography in Networking | 5.00 | I | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | I | ||||
| EARTH OBSERVATION DATA ANALYSIS | 6.00 | Statistical tools for climate and atmospheric sciences | 5.00 | I | ||||
| FRANCIA | ASSOCIATION ISEP - EDOUARD BRANLY | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Cybersecurity | 5.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Data Analysis | 5.00 | II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | II | ||||
| LINGUA FRANCESE | 6.00 | Language : French | 5.00 | II | ||||
| Networks Security | 5.00 | II | ||||||
| GERMANIA | RWTH Aachen University [RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN] | 0 | 1, 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Fundamentals of Business Process Management | 6.00 | I |
| DATA PRIVACY AND SECURITY | 6.00 | IT-Security 1 - Cryptographic Basics and Network Security | 6.00 | I | ||||
| PROCESS MANAGEMENT AND MINING | 6.00 | Machine Learning | 6.00 | I | ||||
| Optimization in Engineering | 4.00 | I | ||||||
| Seminar: Intelligent Processing and Analysis of Data | 4.00 | I | ||||||
| GERMANIA | UNIVERSITAET ZU LUEBECK | 0 | 2, 3 | DATA PRIVACY AND SECURITY | 6.00 | Final Thesis (The subject yet to be decided) | 19.00 | II |
| Kryptografische Protokolle | 6.00 | II | ||||||
| NORVEGIA | UNIVERSITETET I OSLO | 0 | 1, 2 | DATA PRIVACY AND SECURITY | 6.00 | Bioinformatics | 10.00 | I |
| MODELLI LINEARI GENERALIZZATI | 6.00 | Introduction to cryptography | 10.00 | I | ||||
| Introduction to generalized linear models | 10.00 | I | ||||||
| REGNO UNITO | KINGSTON UNIVERSITY | 0 | 1, 2, 3 | DATA AND NETWORK SECURITY | 6.00 | Database Application Development | 7.50 | I |
| DATA MANAGEMENT FOR DATA SCIENCE | 6.00 | Internet Security | 15.00 | I/II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Networking Concepts | 7.50 | I | ||||
| NETWORKING FOR BIG DATA AND LABORATORY | 9.00 | |||||||
| SVEZIA | LINKÖPINGS UNIVERSITET | 0 | 2 | CRYPTOGRAPHY | 6.00 | Computer Security | 6.00 | I |
| DATA PRIVACY AND SECURITY | 6.00 | Cryptology | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Large Scale Optimization | 6.00 | I | ||||
| Networks: Models, Algorithms and Applications | 6.00 | I | ||||||
| Strategy and digitisation - technology, standards and network effects | 6.00 | I | ||||||
| Supply Chain Optimization | 6.00 | I |
DATA-DRIVEN MODELING OF COMPLEX SYSTEMS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| PORTOGALLO | UNIVERSIDADE NOVA DE LISBOA | 0 | 1 | BIG DATA COMPUTING | 6.00 | Big Data Analytics | 7.50 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Intelligence I | 7.50 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Descriptive Methods of Data Mining | 7.50 | I | ||||
| DATA-DRIVEN MODELING OF COMPLEX SYSTEMS | 6.00 | Neuroevolution | 4.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Social Media Analytics | 7.50 | II | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 |
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| BELGIO | VRIJE UNIVERSITEIT BRUSSEL | 0 | 2 | ARTIFICIAL INTELLIGENCE | 6.00 | Data Analytcs in Health Care and Connected Care | 6.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | EUTOPIA Learning Unit - Techniques of Articial Intelligenc | 6.00 | II | ||||
| DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 6.00 | Informaton Retrieval and Data Mining | 6.00 | II | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statstcal Foundatons of Machine Learning | 6.00 | II | ||||
EARTH OBSERVATION DATA ANALYSIS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FINLANDIA | HELSINGIN YLIOPISTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Big Data Platforms | 5.00 | I |
| CLOUD COMPUTING | 6.00 | Cryptography in Networking | 5.00 | I | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | I | ||||
| EARTH OBSERVATION DATA ANALYSIS | 6.00 | Statistical tools for climate and atmospheric sciences | 5.00 | I | ||||
ECONOMICS OF NETWORK INDUSTRIES
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Deep Learning for Computer Vision: Visual Computing | 8.00 | II |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Advanced Deep Learning for Physics | 6.00 | II | ||||
| COMPUTER VISION | 6.00 | Auction Theory and Market Design | 5.00 | I | ||||
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Natural Language Processing | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Seminar Course Deep Learning in Computer Graphics | 5.00 | I | ||||
| PORTOGALLO | UNIVERSIDADE DO PORTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Data Science for Business | 6.00 | I |
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Human-Computer Interaction | 6.00 | I | ||||
| HUMAN COMPUTER INTERACTION ON THE WEB | 6.00 | New Service Development and Design | 6.00 | I | ||||
| INNOVATION AND ECONOMIC DEVELOPMENT | 6.00 | Service Management | 6.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FRANCIA | ECOLE NATIONALE DE LA STATISTIQUE ET DE L'ANALYSE DE L'INFORMATION | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Gestion de la relation client | 1.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Introduction au revenue management | 1.00 | I | ||||
| MARKETING AND INNOVATION MANAGEMENT | 6.00 | Introduction à la data science | 1.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Introdution au marketing | 1.00 | I | ||||
| Markstrat challenge | 0.00 | I | ||||||
| Methodes d'agregation | 1.50 | I | ||||||
| Methodes de scoring | 2.00 | I | ||||||
| Modeles approfondis en RM | 0.00 | I | ||||||
| Modeles de regression penalisee | 1.50 | I | ||||||
| Optimisation Dynamique | 1.00 | I | ||||||
| Optimisation Lineaire | 1.00 | I | ||||||
| Optimisation Stochastique | 1.00 | I | ||||||
| Projet d'entreprise | 1.00 | I | ||||||
| Projets de recherche | 1.00 | I | ||||||
| Reseaux de neurones | 1.00 | I | ||||||
| Separateur a vaste marge | 1.00 | I | ||||||
| econometrie des donnees de panel | 2.00 | I | ||||||
| marketing digital | 0.00 | I | ||||||
| marketing experientiel | 0.00 | I | ||||||
| modeles a equations structurelles | 2.00 | I | ||||||
| modeles de prevision avec series temporelles | 2.00 | I | ||||||
| modeles de regression bayesienne | 1.00 | I | ||||||
| politique tarifaire | 1.00 | I | ||||||
| principe economique du RM:theorie et tratique | 0.00 | I | ||||||
| python et Spark | 1.00 | I | ||||||
| seminaires professionnesls | 0.00 | I | ||||||
| web dataminig | 1.00 | I | ||||||
| GERMANIA | UNIVERSITAT PADERBORN | 0 | 2, 3 | DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Econometrics | 10.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | German course | 8.00 | II | ||||
| LINGUISTICA TEDESCA | 6.00 | Machine Learning I | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning II | 6.00 | II | ||||
| Master Thesis | 30.00 | II | ||||||
| Statistical Natural Language Processing | 6.00 | I | ||||||
| Statistical Signal Processing | 6.00 | I |
HUMAN COMPUTER INTERACTION ON THE WEB
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| PORTOGALLO | UNIVERSIDADE DO PORTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Data Science for Business | 6.00 | I |
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Human-Computer Interaction | 6.00 | I | ||||
| HUMAN COMPUTER INTERACTION ON THE WEB | 6.00 | New Service Development and Design | 6.00 | I | ||||
| INNOVATION AND ECONOMIC DEVELOPMENT | 6.00 | Service Management | 6.00 | I | ||||
INNOVATION AND ECONOMIC DEVELOPMENT
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| PORTOGALLO | UNIVERSIDADE DO PORTO | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Data Science for Business | 6.00 | I |
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Human-Computer Interaction | 6.00 | I | ||||
| HUMAN COMPUTER INTERACTION ON THE WEB | 6.00 | New Service Development and Design | 6.00 | I | ||||
| INNOVATION AND ECONOMIC DEVELOPMENT | 6.00 | Service Management | 6.00 | I | ||||
LINGUA E TRADUZIONE FRANCESE
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| SVIZZERA | EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 0 | 1, 2 | DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Applied data analysis | 6.00 | I |
| LINGUA E TRADUZIONE FRANCESE | 6.00 | EPFL-301 - Projet spécifique pour étudiant d'échange/visiteur | 5.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | French Course | 3.00 | I | ||||
| Machine Learning | 7.00 | I | ||||||
| Machine learning for Digital Humanities | 4.00 | I | ||||||
| Mathematical modelling of behavior | 5.00 | I |
LINGUA FRANCESE
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FRANCIA | ASSOCIATION ISEP - EDOUARD BRANLY | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Cybersecurity | 5.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Data Analysis | 5.00 | II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Introduction to Artificial Intelligence | 5.00 | II | ||||
| LINGUA FRANCESE | 6.00 | Language : French | 5.00 | II | ||||
| Networks Security | 5.00 | II |
LINGUA FRANCESE CORSO AVANZATO
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FRANCIA | THE UNIVERSITY OF STRASBOURG (UDS) | 0 | 1, 2 | LINGUA FRANCESE CORSO AVANZATO | 6.00 | Architectures, modeles et langages de donnees | 6.00 | I |
| Big Data & Management | 6.00 | I | ||||||
| Economie numerique | 6.00 | I | ||||||
| Français langue étrangère | 3.00 | I | ||||||
| Machine learning | 9.00 | I |
LINGUA FRANCESE I
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| SVIZZERA | EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Applied Data Analysis | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Deep Learning | 4.00 | II | ||||
| LINGUA FRANCESE I | 6.00 | Financial big data | 3.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | French A2/B1 | 3.00 | II | ||||
| Introduction to natural language processing | 4.00 | I | ||||||
| Machine Learning | 7.00 | I | ||||||
| Mathematical modelling of behavior | 5.00 | I | ||||||
| knowledge distillation for on-device short text classification | 30.00 | II |
LINGUISTICA TEDESCA
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | UNIVERSITAT PADERBORN | 0 | 2, 3 | DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Econometrics | 10.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | German course | 8.00 | II | ||||
| LINGUISTICA TEDESCA | 6.00 | Machine Learning I | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning II | 6.00 | II | ||||
| Master Thesis | 30.00 | II | ||||||
| Statistical Natural Language Processing | 6.00 | I | ||||||
| Statistical Signal Processing | 6.00 | I |
MACHINE LEARNING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | JOHANN WOLFGANG GOETHE UNIVERSITÄT | 0 | 1, 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Deutsch Intensiv für Austauschstudierende - A | 9.00 | I |
| MACHINE LEARNING | 6.00 | Machine Learning I | 6.00 | I | ||||
| Master Thesis | 30.00 | II | ||||||
| Seminar Pattern Analysis and Machine Intelligence | 5.00 | I | ||||||
| SVIZZERA | UNIVERSITA DELLA SVIZZERA ITALIANA (USI) | 0 | 1, 2 | BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Advanced Topics in Machine Learning | 3.00 | I |
| DATA DRIVEN ECONOMICS | 6.00 | Analysis of Social Networks | 6.00 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Bioinformatics | 6.00 | I | ||||
| MACHINE LEARNING | 6.00 | Deep Learning Lab | 3.00 | I | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | Financial Econometrics | 6.00 | I | ||||
| Information Retrieval | 6.00 | I | ||||||
| Machine Learning | 6.00 | I |
MARKETING AND INNOVATION MANAGEMENT
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| FRANCIA | ECOLE NATIONALE DE LA STATISTIQUE ET DE L'ANALYSE DE L'INFORMATION | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Gestion de la relation client | 1.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Introduction au revenue management | 1.00 | I | ||||
| MARKETING AND INNOVATION MANAGEMENT | 6.00 | Introduction à la data science | 1.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Introdution au marketing | 1.00 | I | ||||
| Markstrat challenge | 0.00 | I | ||||||
| Methodes d'agregation | 1.50 | I | ||||||
| Methodes de scoring | 2.00 | I | ||||||
| Modeles approfondis en RM | 0.00 | I | ||||||
| Modeles de regression penalisee | 1.50 | I | ||||||
| Optimisation Dynamique | 1.00 | I | ||||||
| Optimisation Lineaire | 1.00 | I | ||||||
| Optimisation Stochastique | 1.00 | I | ||||||
| Projet d'entreprise | 1.00 | I | ||||||
| Projets de recherche | 1.00 | I | ||||||
| Reseaux de neurones | 1.00 | I | ||||||
| Separateur a vaste marge | 1.00 | I | ||||||
| econometrie des donnees de panel | 2.00 | I | ||||||
| marketing digital | 0.00 | I | ||||||
| marketing experientiel | 0.00 | I | ||||||
| modeles a equations structurelles | 2.00 | I | ||||||
| modeles de prevision avec series temporelles | 2.00 | I | ||||||
| modeles de regression bayesienne | 1.00 | I | ||||||
| politique tarifaire | 1.00 | I | ||||||
| principe economique du RM:theorie et tratique | 0.00 | I | ||||||
| python et Spark | 1.00 | I | ||||||
| seminaires professionnesls | 0.00 | I | ||||||
| web dataminig | 1.00 | I |
MODELLI LINEARI GENERALIZZATI
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| NORVEGIA | UNIVERSITETET I OSLO | 0 | 1, 2 | DATA PRIVACY AND SECURITY | 6.00 | Bioinformatics | 10.00 | I |
| MODELLI LINEARI GENERALIZZATI | 6.00 | Introduction to cryptography | 10.00 | I | ||||
| Introduction to generalized linear models | 10.00 | I |
NATURAL LANGUAGE PROCESSING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Digital Signal Processing | 5.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Machine Learning and Optimization | 5.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Machine Learning for Computer Vision | 5.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning for Graphs and Sequential Data | 5.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Master's Thesis | 30.00 | II | ||||
| Natural Language Processing | 6.00 | I | ||||||
| eminar: Opening the Black Box: Trends in explainable AI | 5.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Deep Learning for Computer Vision: Visual Computing | 8.00 | II |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Advanced Deep Learning for Physics | 6.00 | II | ||||
| COMPUTER VISION | 6.00 | Auction Theory and Market Design | 5.00 | I | ||||
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Natural Language Processing | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Seminar Course Deep Learning in Computer Graphics | 5.00 | I | ||||
| SVIZZERA | EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Applied Data Analysis | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Deep Learning | 4.00 | II | ||||
| LINGUA FRANCESE I | 6.00 | Financial big data | 3.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | French A2/B1 | 3.00 | II | ||||
| Introduction to natural language processing | 4.00 | I | ||||||
| Machine Learning | 7.00 | I | ||||||
| Mathematical modelling of behavior | 5.00 | I | ||||||
| knowledge distillation for on-device short text classification | 30.00 | II |
NETWORKING FOR BIG DATA AND LABORATORY
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| REGNO UNITO | KINGSTON UNIVERSITY | 0 | 1, 2, 3 | DATA AND NETWORK SECURITY | 6.00 | Database Application Development | 7.50 | I |
| DATA MANAGEMENT FOR DATA SCIENCE | 6.00 | Internet Security | 15.00 | I/II | ||||
| DATA PRIVACY AND SECURITY | 6.00 | Networking Concepts | 7.50 | I | ||||
| NETWORKING FOR BIG DATA AND LABORATORY | 9.00 | |||||||
| ROMANIA | UNIVERSITATEA "BABES-BOLYAI" DIN CLUJ-NAPOCA | 0 | 1, 2 | CLOUD COMPUTING | 6.00 | Data streams | 7.00 | II |
| DATA MANAGEMENT FOR DATA SCIENCE | 6.00 | Grid, cluster and cloud computing | 8.00 | II | ||||
| NETWORKING FOR BIG DATA AND LABORATORY | 9.00 | Scientific data visualization | 7.00 | II | ||||
| Security protocolls in communications | 8.00 | II |
NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| AUSTRIA | UPPER AUSTRIA UNIVERSITY OF APPLIED SCIENCES, HAGENBERG CAMPUS | 0 | 1, 2 | NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Big Data Analytics and Interactive Visualization | 5.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Cloud Computing | 5.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Computational Intelligence I | 5.00 | I | ||||
| Machine Learning | 5.00 | I | ||||||
| Multivariate Statistics (MUL) | 5.00 | I | ||||||
| GERMANIA | ALBERT- LUDWIGS UNIVERSITÄT FREIBURG | 0 | 2, 3 | BIOINFORMATICS | 6.00 | Bioinformatik I / Bioinformatics I | 6.00 | I |
| CRYPTOGRAPHY | 6.00 | Data Collection, - Storage, - Management | 5.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Einführung in die Kryptographie/Introduction to Cryptography | 6.00 | I | ||||
| Foundations of Deep Learning | 6.00 | I | ||||||
| Hardware Security and Trust | 6.00 | I | ||||||
| GERMANIA | ALBERT- LUDWIGS UNIVERSITÄT FREIBURG | 0 | 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Bioinformatics 1 | 6.00 | I |
| BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Computer Vision | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Foundations of Deep Learning | 6.00 | I | ||||
| Machine Learning | 6.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Digital Signal Processing | 5.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Machine Learning and Optimization | 5.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Machine Learning for Computer Vision | 5.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning for Graphs and Sequential Data | 5.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Master's Thesis | 30.00 | II | ||||
| Natural Language Processing | 6.00 | I | ||||||
| eminar: Opening the Black Box: Trends in explainable AI | 5.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Deep Learning for Computer Vision: Visual Computing | 8.00 | II |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Advanced Deep Learning for Physics | 6.00 | II | ||||
| COMPUTER VISION | 6.00 | Auction Theory and Market Design | 5.00 | I | ||||
| ECONOMICS OF NETWORK INDUSTRIES | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Natural Language Processing | 6.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Seminar Course Deep Learning in Computer Graphics | 5.00 | I | ||||
| PORTOGALLO | UNIVERSIDADE NOVA DE LISBOA | 0 | 1 | BIG DATA COMPUTING | 6.00 | Big Data Analytics | 7.50 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Intelligence I | 7.50 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Descriptive Methods of Data Mining | 7.50 | I | ||||
| DATA-DRIVEN MODELING OF COMPLEX SYSTEMS | 6.00 | Neuroevolution | 4.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Social Media Analytics | 7.50 | II | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | |||||||
| SVIZZERA | EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | 0 | 1, 2 | DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Applied data analysis | 6.00 | I |
| LINGUA E TRADUZIONE FRANCESE | 6.00 | EPFL-301 - Projet spécifique pour étudiant d'échange/visiteur | 5.00 | I | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | French Course | 3.00 | I | ||||
| Machine Learning | 7.00 | I | ||||||
| Machine learning for Digital Humanities | 4.00 | I | ||||||
| Mathematical modelling of behavior | 5.00 | I | ||||||
| SVIZZERA | UNIVERSITA DELLA SVIZZERA ITALIANA (USI) | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Topics in Machine Learning | 3.00 | I |
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Artificial Intelligence | 6.00 | I | ||||
| Deep Learning Lab | 3.00 | I | ||||||
| High-Performance Computing | 6.00 | I | ||||||
| Machine Learning | 6.00 | I |
OPTIMIZATION METHODS FOR MACHINE LEARNING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| AUSTRIA | UPPER AUSTRIA UNIVERSITY OF APPLIED SCIENCES, HAGENBERG CAMPUS | 0 | 1, 2 | NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Big Data Analytics and Interactive Visualization | 5.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Cloud Computing | 5.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Computational Intelligence I | 5.00 | I | ||||
| Machine Learning | 5.00 | I | ||||||
| Multivariate Statistics (MUL) | 5.00 | I | ||||||
| BELGIO | VRIJE UNIVERSITEIT BRUSSEL | 0 | 2 | ARTIFICIAL INTELLIGENCE | 6.00 | Data Analytcs in Health Care and Connected Care | 6.00 | II |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | EUTOPIA Learning Unit - Techniques of Articial Intelligenc | 6.00 | II | ||||
| DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 6.00 | Informaton Retrieval and Data Mining | 6.00 | II | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statstcal Foundatons of Machine Learning | 6.00 | II | ||||
| FRANCIA | ECOLE NATIONALE DE LA STATISTIQUE ET DE L'ANALYSE DE L'INFORMATION | 0 | 2 | BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Gestion de la relation client | 1.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Introduction au revenue management | 1.00 | I | ||||
| MARKETING AND INNOVATION MANAGEMENT | 6.00 | Introduction à la data science | 1.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Introdution au marketing | 1.00 | I | ||||
| Markstrat challenge | 0.00 | I | ||||||
| Methodes d'agregation | 1.50 | I | ||||||
| Methodes de scoring | 2.00 | I | ||||||
| Modeles approfondis en RM | 0.00 | I | ||||||
| Modeles de regression penalisee | 1.50 | I | ||||||
| Optimisation Dynamique | 1.00 | I | ||||||
| Optimisation Lineaire | 1.00 | I | ||||||
| Optimisation Stochastique | 1.00 | I | ||||||
| Projet d'entreprise | 1.00 | I | ||||||
| Projets de recherche | 1.00 | I | ||||||
| Reseaux de neurones | 1.00 | I | ||||||
| Separateur a vaste marge | 1.00 | I | ||||||
| econometrie des donnees de panel | 2.00 | I | ||||||
| marketing digital | 0.00 | I | ||||||
| marketing experientiel | 0.00 | I | ||||||
| modeles a equations structurelles | 2.00 | I | ||||||
| modeles de prevision avec series temporelles | 2.00 | I | ||||||
| modeles de regression bayesienne | 1.00 | I | ||||||
| politique tarifaire | 1.00 | I | ||||||
| principe economique du RM:theorie et tratique | 0.00 | I | ||||||
| python et Spark | 1.00 | I | ||||||
| seminaires professionnesls | 0.00 | I | ||||||
| web dataminig | 1.00 | I | ||||||
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Digital Signal Processing | 5.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Machine Learning and Optimization | 5.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Machine Learning for Computer Vision | 5.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning for Graphs and Sequential Data | 5.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Master's Thesis | 30.00 | II | ||||
| Natural Language Processing | 6.00 | I | ||||||
| eminar: Opening the Black Box: Trends in explainable AI | 5.00 | I | ||||||
| GERMANIA | UNIVERSITAT PADERBORN | 0 | 2, 3 | DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Econometrics | 10.00 | I |
| EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | German course | 8.00 | II | ||||
| LINGUISTICA TEDESCA | 6.00 | Machine Learning I | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning II | 6.00 | II | ||||
| Master Thesis | 30.00 | II | ||||||
| Statistical Natural Language Processing | 6.00 | I | ||||||
| Statistical Signal Processing | 6.00 | I | ||||||
| GERMANIA | UNIVERSITAT PADERBORN | 0 | 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Machine Learning 1 | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning 2 | 6.00 | II | ||||
| Statistical and Machine Learning | 6.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced concept in machine learning | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Mathematical optimization | 6.00 | I | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model identification and data fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Stochastic decision making | 6.00 | I | ||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | COMPUTER VISION | 6.00 | Computer Vision | 6.00 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Data Fusion | 6.00 | II | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| Explainable AI | 6.00 | II | ||||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Complex and social networks | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Kernel based machine learning and multivariate modeling | 6.00 | I | ||||
| Randomized Algorithms | 6.00 | I | ||||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Network | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Kernel-Based Machine Learning and Multivariate Modelling | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Networks | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Information Retrieval | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
PROCESS MANAGEMENT AND MINING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | RWTH Aachen University [RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN] | 0 | 1, 2, 3 | ADVANCED MACHINE LEARNING | 6.00 | Fundamentals of Business Process Management | 6.00 | I |
| DATA PRIVACY AND SECURITY | 6.00 | IT-Security 1 - Cryptographic Basics and Network Security | 6.00 | I | ||||
| PROCESS MANAGEMENT AND MINING | 6.00 | Machine Learning | 6.00 | I | ||||
| Optimization in Engineering | 4.00 | I | ||||||
| Seminar: Intelligent Processing and Analysis of Data | 4.00 | I |
SIGNAL PROCESSING FOR BIG DATA
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| GERMANIA | TECHNISCHE UNIVERSITÄT MÜNCHEN | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Digital Signal Processing | 5.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Introduction to Deep Learning | 6.00 | I | ||||
| NATURAL LANGUAGE PROCESSING | 6.00 | Machine Learning and Optimization | 5.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Machine Learning for Computer Vision | 5.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Machine Learning for Graphs and Sequential Data | 5.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Master's Thesis | 30.00 | II | ||||
| Natural Language Processing | 6.00 | I | ||||||
| eminar: Opening the Black Box: Trends in explainable AI | 5.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Concepts in Machine Learning | 6.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Algorithms for Big Data | 6.00 | II | ||||
| DATA DRIVEN ECONOMICS | 6.00 | Data Mining | 6.00 | I | ||||
| DATA MINING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model Identification and Data Fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Research Project DSDM 1 | 6.00 | I | ||||
| Signal and Image Processing | 6.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced concept in machine learning | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Mathematical optimization | 6.00 | I | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model identification and data fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Stochastic decision making | 6.00 | I | ||||
SOCIAL AND BEHAVIORAL NETWORKS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Complex and social networks | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Kernel based machine learning and multivariate modeling | 6.00 | I | ||||
| Randomized Algorithms | 6.00 | I | ||||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Network | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Kernel-Based Machine Learning and Multivariate Modelling | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
| SPAGNA | UNIVERSIDAD POLITÉCNICA DE CATALUÑA | 0 | 1, 2 | BIOINFORMATICS | 6.00 | Bioinformatics and Statistical Genetics | 6.00 | I |
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Complex and Social Networks | 6.00 | I | ||||
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Information Retrieval | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Optimization Techniques for Data Mining | 6.00 | I | ||||
| SVEZIA | LINKÖPINGS UNIVERSITET | 0 | 2 | CRYPTOGRAPHY | 6.00 | Computer Security | 6.00 | I |
| DATA PRIVACY AND SECURITY | 6.00 | Cryptology | 6.00 | I | ||||
| SOCIAL AND BEHAVIORAL NETWORKS | 6.00 | Large Scale Optimization | 6.00 | I | ||||
| Networks: Models, Algorithms and Applications | 6.00 | I | ||||||
| Strategy and digitisation - technology, standards and network effects | 6.00 | I | ||||||
| Supply Chain Optimization | 6.00 | I |
SOCIAL NETWORKS AND ON-LINE MARKETS
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| PORTOGALLO | UNIVERSIDADE NOVA DE LISBOA | 0 | 1 | BIG DATA COMPUTING | 6.00 | Big Data Analytics | 7.50 | II |
| DATA DRIVEN ECONOMICS | 6.00 | Business Intelligence I | 7.50 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Descriptive Methods of Data Mining | 7.50 | I | ||||
| DATA-DRIVEN MODELING OF COMPLEX SYSTEMS | 6.00 | Neuroevolution | 4.00 | II | ||||
| NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Social Media Analytics | 7.50 | II | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | |||||||
| SVIZZERA | UNIVERSITA DELLA SVIZZERA ITALIANA (USI) | 0 | 1, 2 | BIOINFORMATICS AND NETWORK MEDICINE | 6.00 | Advanced Topics in Machine Learning | 3.00 | I |
| DATA DRIVEN ECONOMICS | 6.00 | Analysis of Social Networks | 6.00 | I | ||||
| DATA MINING TECHNOLOGY FOR BUSINESS AND SOCIETY | 6.00 | Bioinformatics | 6.00 | I | ||||
| MACHINE LEARNING | 6.00 | Deep Learning Lab | 3.00 | I | ||||
| SOCIAL NETWORKS AND ON-LINE MARKETS | 6.00 | Financial Econometrics | 6.00 | I | ||||
| Information Retrieval | 6.00 | I | ||||||
| Machine Learning | 6.00 | I |
STATISTICAL LEARNING
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| AUSTRIA | UPPER AUSTRIA UNIVERSITY OF APPLIED SCIENCES, HAGENBERG CAMPUS | 0 | 1, 2 | NEURAL NETWORKS FOR DATA SCIENCE APPLICATIONS | 6.00 | Big Data Analytics and Interactive Visualization | 5.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Cloud Computing | 5.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Computational Intelligence I | 5.00 | I | ||||
| Machine Learning | 5.00 | I | ||||||
| Multivariate Statistics (MUL) | 5.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced Concepts in Machine Learning | 6.00 | I |
| BIG DATA FOR OFFICIAL STATISTICS | 6.00 | Algorithms for Big Data | 6.00 | II | ||||
| DATA DRIVEN ECONOMICS | 6.00 | Data Mining | 6.00 | I | ||||
| DATA MINING | 6.00 | Dynamic Game Theory | 6.00 | II | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model Identification and Data Fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Research Project DSDM 1 | 6.00 | I | ||||
| Signal and Image Processing | 6.00 | I | ||||||
| OLANDA | MAASTRICHT UNIVERSITY | 0 | 1, 2 | ADVANCED MACHINE LEARNING | 6.00 | Advanced concept in machine learning | 6.00 | I |
| OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Mathematical optimization | 6.00 | I | ||||
| SIGNAL PROCESSING FOR BIG DATA | 6.00 | Model identification and data fitting | 6.00 | I | ||||
| STATISTICAL LEARNING | 6.00 | Stochastic decision making | 6.00 | I | ||||
STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY
| Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
|---|---|---|---|---|---|---|---|---|
| SLOVACCHIA | COMENIUS UNIVERSITY IN BRATISLAVA | 0 | 1, 2, 3 | STATISTICAL METHODS IN DATA SCIENCE AND LABORATORY | 12.00 | Markov models (1) | 5.00 | I |
| Probability Measure and Mathematical Statistics (1) | 5.00 | I | ||||||
| Probability distributions | 2.00 | I |