[SM38] DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

Course overwiew

Duration

2 years

Campus

Trieste

Language

English

Credits (CFU/ECTS)

120

Department

DEPARTMENT OF MATHEMATICS, INFORMATICS AND GEOSCIENCES

Ministry Class

LM Data

Admission

scheduled access

Intake

65

Description

For information on the application and the required documents, please visit the dedicated section.

For more information on requirements and admission procedures, please visit the course website.

Download Study Plans (ITA only)

STUDY PROGRAMME

Year of study: 1

Required

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours - Second semester

HIGH PERFORMANCE AND CLOUD COMPUTING
9 CFU - 72 hours - Full year

PROBABILISTIC AND DEEP MACHINE LEARNING
12 CFU - 96 hours - Second semester

REINFORCEMENT LEARNING
6 CFU - 48 hours - Second semester

STATISTICAL METHODS
9 CFU - 72 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED PROGRAMMING
6 CFU - 48 hours - First semester

MACHINE LEARNING OPERATIONS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

INTRODUCTION TO MACHINE LEARNING
6 CFU - 48 hours - First semester

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ALGORITHMIC DATA MINING
6 CFU - 48 hours - First semester

ALGORITHMIC DESIGN
6 CFU - 48 hours - First semester

Year of study: 2

Required

FINAL EXAMINATION
18 CFU - 0 hours -

INTERNSHIP
12 CFU - 120 hours -

1 insegnamento opzionale tra (6 CFU)

ADVANCED DATA MANAGEMENT
6 CFU - 48 hours -

ADVANCED DEEP LEARNING AND KERNEL METHODS
6 CFU - 48 hours -

ADVANCED STATISTICAL METHODS
6 CFU - 48 hours -

COMPUTER VISION AND PATTERN RECOGNITION
6 CFU - 48 hours -

INFORMATION RETRIEVAL AND DATA VISUALIZATION
6 CFU - 48 hours -

NATURAL LANGUAGE PROCESSING
6 CFU - 48 hours -

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

UNSUPERVISED LEARNING
6 CFU - 48 hours -

1 insegnamento opzionale tra (between 6 and 9 CFU)

EXPLAINABLE AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

INTRODUCTION TO ARTIFICIAL INTELLIGENCE
9 CFU - 72 hours -

MULTI-AGENT SYSTEMS
6 CFU - 48 hours -

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS
6 CFU - 48 hours -

SYMBOLIC AND RELIABLE ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

1 insegnamento opzionale tra (6 CFU)

ADVANCED DATA MANAGEMENT
6 CFU - 48 hours -

ADVANCED DEEP LEARNING AND KERNEL METHODS
6 CFU - 48 hours -

ADVANCED STATISTICAL METHODS
6 CFU - 48 hours -

COMPUTER VISION AND PATTERN RECOGNITION
6 CFU - 48 hours -

DATA MANAGEMENT
6 CFU - 60 hours -

INFORMATION RETRIEVAL AND DATA VISUALIZATION
6 CFU - 48 hours -

NATURAL LANGUAGE PROCESSING
6 CFU - 48 hours -

UNSUPERVISED LEARNING
6 CFU - 48 hours -

A scelta libera studente (12 CFU)

ADVANCED DATA MANAGEMENT
6 CFU - 48 hours -

ADVANCED DEEP LEARNING AND KERNEL METHODS
6 CFU - 48 hours -

ADVANCED STATISTICAL METHODS
6 CFU - 48 hours -

COMPUTER VISION AND PATTERN RECOGNITION
6 CFU - 48 hours -

DATA MANAGEMENT
6 CFU - 60 hours -

EXPLAINABLE AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

INFORMATION RETRIEVAL AND DATA VISUALIZATION
6 CFU - 48 hours -

INTRODUCTION TO ARTIFICIAL INTELLIGENCE
9 CFU - 72 hours -

MULTI-AGENT SYSTEMS
6 CFU - 48 hours -

NATURAL LANGUAGE PROCESSING
6 CFU - 48 hours -

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS
6 CFU - 48 hours -

SYMBOLIC AND RELIABLE ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

UNSUPERVISED LEARNING
6 CFU - 48 hours -

Year of study: 1

Required

HIGH PERFORMANCE AND CLOUD COMPUTING
9 CFU - 72 hours - Full year

MODELLING AND CONTROL OF CYBER-PHYSICAL SYSTEMS I
6 CFU - 48 hours - Second semester

PROBABILISTIC AND DEEP MACHINE LEARNING
12 CFU - 96 hours - Second semester

REINFORCEMENT LEARNING
6 CFU - 48 hours - Second semester

STATISTICAL METHODS
9 CFU - 72 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED PROGRAMMING
6 CFU - 48 hours - First semester

MACHINE LEARNING OPERATIONS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

INTRODUCTION TO MACHINE LEARNING
6 CFU - 48 hours - First semester

MATHEMATICAL OPTIMISATION
6 CFU - 48 hours - Second semester

1 insegnamento opzionale tra (6 CFU)

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours - Second semester

NUMERICAL ANALYSIS
6 CFU - 48 hours - First semester

Year of study: 2

Required

MODELLING AND CONTROL OF CYBER-PHYSICAL SYSTEMS II
6 CFU - 48 hours -

FINAL EXAMINATION
18 CFU - 0 hours -

INTERNSHIP
12 CFU - 120 hours -

1 insegnamento opzionale tra (6 CFU)

MATHEMATICAL OPTIMISATION
6 CFU - 48 hours -

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS
6 CFU - 48 hours -

1 insegnamento opzionale tra (6 CFU)

DATA MANAGEMENT
6 CFU - 60 hours -

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS
6 CFU - 48 hours -

1 insegnamento opzionale tra (6 CFU)

DATA MANAGEMENT
6 CFU - 60 hours -

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

MATHEMATICAL OPTIMISATION
6 CFU - 48 hours -

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS
6 CFU - 48 hours -

A scelta libera studente (6 CFU)

DATA MANAGEMENT
6 CFU - 60 hours -

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

MATHEMATICAL OPTIMISATION
6 CFU - 48 hours -

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS
6 CFU - 48 hours -

Year of study: 1

Required

HIGH PERFORMANCE AND CLOUD COMPUTING
9 CFU - 72 hours - Full year

PROBABILISTIC AND DEEP MACHINE LEARNING
12 CFU - 96 hours - Second semester

STATISTICAL LEARNING IN EPIDEMIOLOGY
6 CFU - 48 hours - Second semester

STATISTICAL METHODS
9 CFU - 72 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED PROGRAMMING
6 CFU - 48 hours - First semester

MACHINE LEARNING OPERATIONS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

INTRODUCTION TO MACHINE LEARNING
6 CFU - 48 hours - First semester

UNSUPERVISED LEARNING
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ALGORITHMIC DATA MINING
6 CFU - 48 hours - First semester

ALGORITHMIC DESIGN
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED STATISTICAL METHODS
6 CFU - 48 hours - Second semester

DATA MANAGEMENT
6 CFU - 60 hours - Second semester

STOCHASTIC MODELLING AND SIMULATION
6 CFU - 48 hours - Second semester

Year of study: 2

Required

COMPUTATIONAL GENOMICS
6 CFU - 48 hours -

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours -

FINAL EXAMINATION
18 CFU - 0 hours -

INTERNSHIP
12 CFU - 120 hours -

1 insegnamento opzionale tra (6 CFU)

ADVANCED STATISTICAL METHODS
6 CFU - 48 hours -

COMPUTATIONAL NEUROSCIENCE
6 CFU - 48 hours -

STOCHASTIC MODELLING AND SIMULATION
6 CFU - 48 hours -

UNSUPERVISED LEARNING
6 CFU - 48 hours -

A scelta libera studente (12 CFU)

ADVANCED STATISTICAL METHODS
6 CFU - 48 hours -

COMPUTATIONAL NEUROSCIENCE
6 CFU - 48 hours -

STOCHASTIC MODELLING AND SIMULATION
6 CFU - 48 hours -

UNSUPERVISED LEARNING
6 CFU - 48 hours -

Year of study: 1

Required

ADVANCED STATISTICAL METHODS
6 CFU - 48 hours - Second semester

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours - Second semester

HIGH PERFORMANCE AND CLOUD COMPUTING
9 CFU - 72 hours - Full year

PROBABILISTIC AND DEEP MACHINE LEARNING
12 CFU - 96 hours - Second semester

STATISTICAL METHODS
9 CFU - 72 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED PROGRAMMING
6 CFU - 48 hours - First semester

MACHINE LEARNING OPERATIONS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

INTRODUCTION TO MACHINE LEARNING
6 CFU - 48 hours - First semester

UNSUPERVISED LEARNING
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

DATA MANAGEMENT
6 CFU - 60 hours - Second semester

INFORMATION RETRIEVAL AND DATA VISUALIZATION
6 CFU - 48 hours - Second semester

Year of study: 2

Required

FINAL EXAMINATION
18 CFU - 0 hours -

INTERNSHIP
12 CFU - 120 hours -

3 insegnamenti opzionali tra (18 CFU)

BAYESIAN STATISTICS
6 CFU - 48 hours -

DATA SCIENCE FOR INSURANCE
6 CFU - 48 hours -

ENTREPRENEURSHIP AND BUSINESS MODELLING
6 CFU - 48 hours -

INFORMATION RETRIEVAL AND DATA VISUALIZATION
6 CFU - 48 hours -

MULTI-AGENT SYSTEMS
6 CFU - 48 hours -

NATURAL LANGUAGE PROCESSING
6 CFU - 48 hours -

STATISTICAL ANALYSIS OF SOCIAL NETWORKS
6 CFU - 48 hours -

TIME-SERIES ANALYSIS
6 CFU - 48 hours -

UNSUPERVISED LEARNING
6 CFU - 48 hours -

A scelta libera (12 CFU)

BAYESIAN STATISTICS
6 CFU - 48 hours -

DATA SCIENCE FOR INSURANCE
6 CFU - 48 hours -

ENTREPRENEURSHIP AND BUSINESS MODELLING
6 CFU - 48 hours -

INFORMATION RETRIEVAL AND DATA VISUALIZATION
6 CFU - 48 hours -

MULTI-AGENT SYSTEMS
6 CFU - 48 hours -

NATURAL LANGUAGE PROCESSING
6 CFU - 48 hours -

STATISTICAL ANALYSIS OF SOCIAL NETWORKS
6 CFU - 48 hours -

TIME-SERIES ANALYSIS
6 CFU - 48 hours -

UNSUPERVISED LEARNING
6 CFU - 48 hours -

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