[SM36] SCIENTIFIC AND DATA-INTENSIVE COMPUTING

Course overwiew

Duration

2 years

Campus

Trieste

Language

English

Credits (CFU/ECTS)

120

Department

DEPARTMENT OF MATHEMATICS, INFORMATICS AND GEOSCIENCES

Ministry Class

LM-44

Mathematical modelling for engineering

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

DEEP LEARNING
6 CFU - 48 hours - Second semester

HIGH PERFORMANCE AND CLOUD COMPUTING
12 CFU - 96 hours - Full year

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED PROGRAMMING
6 CFU - 48 hours - First semester

SOFTWARE DEVELOPMENT METHODS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

GLOBAL AND MULTIOBJECTIVE OPTIMIZATION
6 CFU - 48 hours - First semester

MATHEMATICAL OPTIMISATION
6 CFU - 48 hours - Second semester

NUMERICAL ANALYSIS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

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

PROBABILISTIC MACHINE LEARNING
6 CFU - 48 hours - Second semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED NUMERICAL ANALYSIS
6 CFU - 48 hours - Second semester

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

1 insegnamento opzionale tra (6 CFU)

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

ALGORITHMS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

COMPUTATIONAL FLUID DYNAMICS
6 CFU - 48 hours - Second semester

COMPUTATIONAL PHYSICS LABORATORY
6 CFU - 72 hours - First semester

COMPUTATIONAL QUANTUM CHEMISTRY
6 CFU - 52 hours - Second semester

INTRODUCTION TO ASTROPHYSICS AND COSMOLOGY
6 CFU - 48 hours - Second semester

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

PROBABILISTIC MACHINE LEARNING
6 CFU - 48 hours - Second semester

REINFORCEMENT LEARNING
6 CFU - 48 hours - Second semester

REMOTE SENSING
6 CFU - 48 hours - Second semester

Year of study: 2

Required

FINAL EXAMINATION
24 CFU - 0 hours -

INTERNSHIP
12 CFU - 0 hours -

1 insegnamento opzionale tra (6 CFU)

ADVANCED TOPICS IN SCIENTIFIC COMPUTING
6 CFU - 48 hours -

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

1 insegnamento opzionale tra (6 CFU)

ADVANCED COSMOLOGY
6 CFU - 48 hours -

COMPUTATIONAL FLUID DYNAMICS
6 CFU - 48 hours -

COMPUTATIONAL PHYSICS LABORATORY
6 CFU - 72 hours -

COMPUTATIONAL QUANTUM CHEMISTRY
6 CFU - 52 hours -

COMPUTATIONAL SOLID MECHANICS
6 CFU - 48 hours -

COMPUTER VISION AND PATTERN RECOGNITION
6 CFU - 48 hours -

GALAXY ASTROPHYSICS
6 CFU - 48 hours -

IMAGE PROCESSING IN PHYSICS
6 CFU - 48 hours -

INTRODUCTION TO ASTROPHYSICS AND COSMOLOGY
6 CFU - 48 hours -

MARINE ECOSYSTEMS MODELLING AND ANALYTICS
6 CFU - 48 hours -

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

PHYSICS AND MODELLING OF TURBULENCE
6 CFU - 48 hours -

PROBABILISTIC MACHINE LEARNING
6 CFU - 48 hours -

REINFORCEMENT LEARNING
6 CFU - 48 hours -

REMOTE SENSING
6 CFU - 48 hours -

STATISTICAL THERMODYNAMICS
6 CFU - 48 hours -

A scelta libera studente (12 CFU)

Year of study: 1

Required

DEEP LEARNING
6 CFU - 48 hours - Second semester

HIGH PERFORMANCE AND CLOUD COMPUTING
12 CFU - 96 hours - Full year

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED PROGRAMMING
6 CFU - 48 hours - First semester

SOFTWARE DEVELOPMENT METHODS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

MATHEMATICAL OPTIMISATION
6 CFU - 48 hours - Second semester

NUMERICAL ANALYSIS
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)

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

ALGORITHMS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED DATA MANAGEMENT
6 CFU - 48 hours - Second semester

DATA MANAGEMENT
6 CFU - 60 hours - Second semester

1 insegnamento opzionale tra (6 CFU)

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

PROBABILISTIC MACHINE LEARNING
6 CFU - 48 hours - Second semester

Year of study: 2

Required

ADVANCED HIGH PERFORMANCE COMPUTING
6 CFU - 48 hours -

HIGH PERFORMANCE COMPUTING AND DATA INFRASTRUCTURES
6 CFU - 48 hours -

FINAL EXAMINATION
24 CFU - 0 hours -

INTERNSHIP
12 CFU - 0 hours -

A scelta libera studente (12 CFU)

Year of study: 1

Required

DEEP LEARNING
6 CFU - 48 hours - Second semester

HIGH PERFORMANCE AND CLOUD COMPUTING
12 CFU - 96 hours - Full year

INTRODUCTION TO QUANTUM INFORMATION THEORY
6 CFU - 48 hours - Second semester

INTRODUCTION TO QUANTUM MECHANICS AND QUANTUM COMPUTING
6 CFU - 48 hours - First semester

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

ADVANCED PROGRAMMING
6 CFU - 48 hours - First semester

SOFTWARE DEVELOPMENT METHODS
6 CFU - 48 hours - First semester

1 insegnamento opzionale tra (6 CFU)

INFORMATION THEORY
6 CFU - 48 hours - First semester

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

1 insegnamento opzionale tra (6 CFU)

PROBABILISTIC MACHINE LEARNING
6 CFU - 48 hours - Second semester

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

1 insegnamento opzionale tra (6 CFU)

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

ALGORITHMS FOR SCIENTIFIC COMPUTING
6 CFU - 48 hours - First semester

Year of study: 2

Required

FINAL EXAMINATION
24 CFU - 0 hours -

INTERNSHIP
12 CFU - 0 hours -

2 insegnamenti opzionali tra (12 CFU)

INFORMATION THEORY
6 CFU - 48 hours -

QUANTUM ALGORITHMS
6 CFU - 48 hours -

QUANTUM MACHINE LEARNING
6 CFU - 48 hours -

A scelta libera studente (12 CFU)

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