Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FINLANDIA | HELSINGIN YLIOPISTO | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | Evolution and the Theory of Games | 5.00 | I |
DISEGNO E ANALISI DELLE PROVE CLINICHE | 9.00 | Generalized Linear Models | 5.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Mathematical modelling | 10.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Risk Theory | 10.00 | I | ||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | An introduction to game theory | 6.00 | I |
BIG DATA ANALYTICS | 6.00 | FLE B2 - Cours général | 3.00 | I | ||||
COMPUTATIONAL STATISTICS | 9.00 | Graphes: modélisation et algorithmes | 4.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Research project | 18.00 | I/II | ||||
MODELLI PER IL SUPPORTO ALLE DECISIONI | 9.00 | Scientific management and support for decision making | 6.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Systémes, langages et paradigmes pour les Big Data | 7.50 | II | ||||
Séries Temporelles | 6.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BAYESIAN MODELLING | 6.00 | An introduction to game theory | 6.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Enjeux de la société digitale | 3.00 | I | ||||
GESTIONE DI BIG DATA | 9.00 | Research Project on Collective Intelligence | 18.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Systèmes, Langages et Paradigmes pour le Big Data | 7.50 | I | ||||
MODELLI PREVISIVI | 6.00 |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | An introduction to game theory | 6.00 | I |
BIG DATA ANALYTICS | 6.00 | FLE B2 - Cours général | 3.00 | I | ||||
COMPUTATIONAL STATISTICS | 9.00 | Graphes: modélisation et algorithmes | 4.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Research project | 18.00 | I/II | ||||
MODELLI PER IL SUPPORTO ALLE DECISIONI | 9.00 | Scientific management and support for decision making | 6.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Systémes, langages et paradigmes pour les Big Data | 7.50 | II | ||||
Séries Temporelles | 6.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Datamining et apprentissage | 6.00 | II |
DATA MINING E CLASSIFICAZIONE | 9.00 | FLE A2: Cours général | 3.00 | II | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Game Theory | 6.00 | I | ||||
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 6.00 | I | ||||
Scientific management and support for decision making | 6.00 | I | ||||||
Statistiques en grandes dimensions | 6.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Bayesian case studies | 4.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian non parametric statistics | 4.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | FLE A2: Cours Général | 6.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Mémoire de recherche | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthodes de Monte Carlo par Chaines de Markov | 4.00 | I | ||||
Statistique en grandes dimensions | 4.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FINLANDIA | HELSINGIN YLIOPISTO | 0 | 2, 3 | COMPUTATIONAL STATISTICS | 9.00 | Computational statistics I | 5.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Computational statistics II | 5.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Evolution and the theory of games | 5.00 | I | ||||
Generalized linear models II | 5.00 | I | ||||||
High dimensional statistics | 5.00 | I | ||||||
Introduction to Machine Learning | 5.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | An introduction to game theory | 6.00 | I |
BIG DATA ANALYTICS | 6.00 | FLE B2 - Cours général | 3.00 | I | ||||
COMPUTATIONAL STATISTICS | 9.00 | Graphes: modélisation et algorithmes | 4.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Research project | 18.00 | I/II | ||||
MODELLI PER IL SUPPORTO ALLE DECISIONI | 9.00 | Scientific management and support for decision making | 6.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Systémes, langages et paradigmes pour les Big Data | 7.50 | II | ||||
Séries Temporelles | 6.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Datamining et apprentissage | 6.00 | II |
DATA MINING E CLASSIFICAZIONE | 9.00 | FLE A2: Cours général | 3.00 | II | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Game Theory | 6.00 | I | ||||
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 6.00 | I | ||||
Scientific management and support for decision making | 6.00 | I | ||||||
Statistiques en grandes dimensions | 6.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FINLANDIA | HELSINGIN YLIOPISTO | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | Evolution and the Theory of Games | 5.00 | I |
DISEGNO E ANALISI DELLE PROVE CLINICHE | 9.00 | Generalized Linear Models | 5.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Mathematical modelling | 10.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Risk Theory | 10.00 | I | ||||
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ECONOMETRIA | 9.00 | Finance of International Trade | 6.00 | I |
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Fle:general course | 6.00 | I | ||||
Quantitative Methods for Policy evaluation | 9.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ECONOMETRIA | 9.00 | Finance of international trade | 4.50 | I |
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Fle b1 : cinéma et société | 9.00 | I | ||||
Modèles linéaires et généralisations+sas | 6.00 | I | ||||||
Quantitite methods for policy evaluation | 9.00 | I | ||||||
Séries temporelles | 9.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FINLANDIA | HELSINGIN YLIOPISTO | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | Evolution and the Theory of Games | 5.00 | I |
DISEGNO E ANALISI DELLE PROVE CLINICHE | 9.00 | Generalized Linear Models | 5.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Mathematical modelling | 10.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Risk Theory | 10.00 | I | ||||
FINLANDIA | HELSINGIN YLIOPISTO | 0 | 2, 3 | COMPUTATIONAL STATISTICS | 9.00 | Computational statistics I | 5.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Computational statistics II | 5.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Evolution and the theory of games | 5.00 | I | ||||
Generalized linear models II | 5.00 | I | ||||||
High dimensional statistics | 5.00 | I | ||||||
Introduction to Machine Learning | 5.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BAYESIAN MODELLING | 6.00 | An introduction to game theory | 6.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Enjeux de la société digitale | 3.00 | I | ||||
GESTIONE DI BIG DATA | 9.00 | Research Project on Collective Intelligence | 18.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Systèmes, Langages et Paradigmes pour le Big Data | 7.50 | I | ||||
MODELLI PREVISIVI | 6.00 | |||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | An introduction to game theory | 6.00 | I |
BIG DATA ANALYTICS | 6.00 | FLE B2 - Cours général | 3.00 | I | ||||
COMPUTATIONAL STATISTICS | 9.00 | Graphes: modélisation et algorithmes | 4.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Research project | 18.00 | I/II | ||||
MODELLI PER IL SUPPORTO ALLE DECISIONI | 9.00 | Scientific management and support for decision making | 6.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Systémes, langages et paradigmes pour les Big Data | 7.50 | II | ||||
Séries Temporelles | 6.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
mèmoir | 20.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Bayesian case studies | 4.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian non parametric statistics | 4.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | FLE A2: Cours Général | 6.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Mémoire de recherche | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthodes de Monte Carlo par Chaines de Markov | 4.00 | I | ||||
Statistique en grandes dimensions | 4.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Mémoir | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | |||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Mémoir | 20.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
Statistiques en grandes dimensions | 4.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BAYESIAN MODELLING | 6.00 | An introduction to game theory | 6.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Enjeux de la société digitale | 3.00 | I | ||||
GESTIONE DI BIG DATA | 9.00 | Research Project on Collective Intelligence | 18.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Systèmes, Langages et Paradigmes pour le Big Data | 7.50 | I | ||||
MODELLI PREVISIVI | 6.00 |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BAYESIAN MODELLING | 6.00 | An introduction to game theory | 6.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Enjeux de la société digitale | 3.00 | I | ||||
GESTIONE DI BIG DATA | 9.00 | Research Project on Collective Intelligence | 18.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Systèmes, Langages et Paradigmes pour le Big Data | 7.50 | I | ||||
MODELLI PREVISIVI | 6.00 | |||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Datamining et apprentissage | 6.00 | II |
DATA MINING E CLASSIFICAZIONE | 9.00 | FLE A2: Cours général | 3.00 | II | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Game Theory | 6.00 | I | ||||
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 6.00 | I | ||||
Scientific management and support for decision making | 6.00 | I | ||||||
Statistiques en grandes dimensions | 6.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
mèmoir | 20.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Bayesian case studies | 4.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian non parametric statistics | 4.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | FLE A2: Cours Général | 6.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Mémoire de recherche | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthodes de Monte Carlo par Chaines de Markov | 4.00 | I | ||||
Statistique en grandes dimensions | 4.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Mémoir | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | |||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Mémoir | 20.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
Statistiques en grandes dimensions | 4.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FINLANDIA | HELSINGIN YLIOPISTO | 0 | 2, 3 | COMPUTATIONAL STATISTICS | 9.00 | Computational statistics I | 5.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Computational statistics II | 5.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Evolution and the theory of games | 5.00 | I | ||||
Generalized linear models II | 5.00 | I | ||||||
High dimensional statistics | 5.00 | I | ||||||
Introduction to Machine Learning | 5.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Bayesian case studies | 4.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian non parametric statistics | 4.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | FLE A2: Cours Général | 6.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Mémoire de recherche | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthodes de Monte Carlo par Chaines de Markov | 4.00 | I | ||||
Statistique en grandes dimensions | 4.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | An introduction to game theory | 6.00 | I |
BIG DATA ANALYTICS | 6.00 | FLE B2 - Cours général | 3.00 | I | ||||
COMPUTATIONAL STATISTICS | 9.00 | Graphes: modélisation et algorithmes | 4.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Research project | 18.00 | I/II | ||||
MODELLI PER IL SUPPORTO ALLE DECISIONI | 9.00 | Scientific management and support for decision making | 6.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Systémes, langages et paradigmes pour les Big Data | 7.50 | II | ||||
Séries Temporelles | 6.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FINLANDIA | HELSINGIN YLIOPISTO | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | Evolution and the Theory of Games | 5.00 | I |
DISEGNO E ANALISI DELLE PROVE CLINICHE | 9.00 | Generalized Linear Models | 5.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Mathematical modelling | 10.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Risk Theory | 10.00 | I | ||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BAYESIAN MODELLING | 6.00 | An introduction to game theory | 6.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Enjeux de la société digitale | 3.00 | I | ||||
GESTIONE DI BIG DATA | 9.00 | Research Project on Collective Intelligence | 18.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Systèmes, Langages et Paradigmes pour le Big Data | 7.50 | I | ||||
MODELLI PREVISIVI | 6.00 | |||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ANALYSIS OF COMPLEX DATA STRUCTURES | 6.00 | An introduction to game theory | 6.00 | I |
BIG DATA ANALYTICS | 6.00 | FLE B2 - Cours général | 3.00 | I | ||||
COMPUTATIONAL STATISTICS | 9.00 | Graphes: modélisation et algorithmes | 4.00 | I | ||||
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Research project | 18.00 | I/II | ||||
MODELLI PER IL SUPPORTO ALLE DECISIONI | 9.00 | Scientific management and support for decision making | 6.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Systémes, langages et paradigmes pour les Big Data | 7.50 | II | ||||
Séries Temporelles | 6.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
mèmoir | 20.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Bayesian case studies | 4.00 | I |
EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian non parametric statistics | 4.00 | I | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | FLE A2: Cours Général | 6.00 | I | ||||
MODELLI LINEARI GENERALIZZATI | 6.00 | Mémoire de recherche | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthodes de Monte Carlo par Chaines de Markov | 4.00 | I | ||||
Statistique en grandes dimensions | 4.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Mémoir | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | |||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Mémoir | 20.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
Statistiques en grandes dimensions | 4.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Mémoir | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
mèmoir | 20.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Mémoir | 20.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
OPTIMIZATION METHODS FOR MACHINE LEARNING | 6.00 | Statistiques en grandes dimensions | 4.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | |||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | EFFICIENCY AND PRODUCTIVITY ANALYSIS | 6.00 | Bayesian cases studies | 4.00 | I |
METODOLOGIA STATISTICA AVANZATA | 9.00 | Bayesian non parametric statistics | 4.00 | I | ||||
MODELLI PREVISIVI | 6.00 | Mémoir | 20.00 | I | ||||
SPATIAL STATISTICS AND STATISTICAL TOOLS FOR ENVIRONMENTAL DATA | 9.00 | Méthode de Monte Carlo par chaîne de Markov | 4.00 | I | ||||
Statistiques en grandes dimensions | 4.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ECONOMETRIA | 9.00 | Finance of International Trade | 6.00 | I |
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Fle:general course | 6.00 | I | ||||
Quantitative Methods for Policy evaluation | 9.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | ECONOMETRIA | 9.00 | Finance of international trade | 4.50 | I |
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Fle b1 : cinéma et société | 9.00 | I | ||||
Modèles linéaires et généralisations+sas | 6.00 | I | ||||||
Quantitite methods for policy evaluation | 9.00 | I | ||||||
Séries temporelles | 9.00 | I | ||||||
FRANCIA | UNIVERSITE' DE PARIS-DAUPHINE (PARIS IX) | 0 | 2, 3 | BIG DATA ANALYTICS | 6.00 | Datamining et apprentissage | 6.00 | II |
DATA MINING E CLASSIFICAZIONE | 9.00 | FLE A2: Cours général | 3.00 | II | ||||
METODOLOGIA STATISTICA AVANZATA | 9.00 | Game Theory | 6.00 | I | ||||
STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Méthode de Monte Carlo par chaîne de Markov | 6.00 | I | ||||
Scientific management and support for decision making | 6.00 | I | ||||||
Statistiques en grandes dimensions | 6.00 | I | ||||||
SPAGNA | UNIVERSIDAD DE BARCELONA | 0 | 1, 2 | STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Basis Catalan course | 3.00 | I |
STATISTICA SANITARIA ED EPIDEMIOLOGIA | 9.00 | Diseño de Encuestas | 6.00 | I | ||||
Diseño de Experimentos | 6.00 | I | ||||||
Econometria I | 6.00 | I | ||||||
Estadística Médica | 6.00 | I | ||||||
Modelos Lineales Generalizados | 6.00 | I |
Nazione | Università Estera | Civis | Livello | Esame Sapienza | CFU | Esame Estero | CFU Estero | Semestre Estero |
---|---|---|---|---|---|---|---|---|
SPAGNA | UNIVERSIDAD DE BARCELONA | 0 | 1, 2 | STATISTICA ECONOMICA CORSO AVANZATO | 6.00 | Basis Catalan course | 3.00 | I |
STATISTICA SANITARIA ED EPIDEMIOLOGIA | 9.00 | Diseño de Encuestas | 6.00 | I | ||||
Diseño de Experimentos | 6.00 | I | ||||||
Econometria I | 6.00 | I | ||||||
Estadística Médica | 6.00 | I | ||||||
Modelos Lineales Generalizados | 6.00 | I |