Master's Degree

SCIENTIFIC AND DATA-INTENSIVE COMPUTING

The course Study plan Syllabi

Study plan

Curriculum

COMPUTATIONAL MODELING AND DIGITAL TWINS

Year:

1

2

Other activities

Required:

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING [317SM]

6 cfu

48 hours

DEEP LEARNING [452SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [996MG]

12 cfu

96 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

GLOBAL AND MULTIOBJECTIVE OPTIMIZATION [381SM]

6 cfu

48 hours

MATHEMATICAL OPTIMISATION [446SM_BIS]

6 cfu

48 hours

NUMERICAL ANALYSIS [584SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED NUMERICAL ANALYSIS [579SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING [315SM]

6 cfu

48 hours

ALGORITHMS FOR SCIENTIFIC COMPUTING [316SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

INTRODUCTION TO ASTROPHYSICS AND COSMOLOGY [311SM]

6 cfu

48 hours

REMOTE SENSING [312SM]

6 cfu

48 hours

COMPUTATIONAL FLUID DYNAMICS [313SM]

6 cfu

48 hours

MODELLING AND CONTROL OF CYBER-PHYSICAL SYSTEMS I [322SM]

6 cfu

48 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

COMPUTATIONAL QUANTUM CHEMISTRY [562SM]

6 cfu

52 hours

COMPUTATIONAL PHYSICS LABORATORY [563SM]

6 cfu

72 hours

Required:

INTERNSHIP [857SM]

12 cfu

0 hours

FINAL EXAMINATION [PFINE]

24 cfu

0 hours

Optional course (6 CFU):

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

ADVANCED TOPICS IN SCIENTIFIC COMPUTING [486SM]

6 cfu

48 hours

Optional course (6 CFU):

STATISTICAL THERMODYNAMICS [020CM]

6 cfu

48 hours

COMPUTATIONAL SOLID MECHANICS [308SM]

6 cfu

48 hours

ADVANCED COSMOLOGY [309SM]

6 cfu

48 hours

REMOTE SENSING [312SM]

6 cfu

48 hours

COMPUTATIONAL FLUID DYNAMICS [313SM]

6 cfu

48 hours

IMAGE PROCESSING IN PHYSICS [390SM]

6 cfu

48 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

GALAXY ASTROPHYSICS [476SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

COMPUTATIONAL QUANTUM CHEMISTRY [562SM]

6 cfu

52 hours

COMPUTATIONAL PHYSICS LABORATORY [563SM]

6 cfu

72 hours

Elective courses (12 CFU):

STATISTICAL THERMODYNAMICS [020CM]

6 cfu

48 hours

MACHINE LEARNING OPERATIONS [305SM]

0 cfu

0 hours

HIGH PERFORMANCE COMPUTING AND DATA INFRASTRUCTURES [306SM]

6 cfu

48 hours

ADVANCED HIGH PERFORMANCE COMPUTING [307SM]

6 cfu

48 hours

COMPUTATIONAL SOLID MECHANICS [308SM]

6 cfu

48 hours

ADVANCED COSMOLOGY [309SM]

6 cfu

48 hours

REMOTE SENSING [312SM]

6 cfu

48 hours

COMPUTATIONAL FLUID DYNAMICS [313SM]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

MODELLING AND CONTROL OF CYBER-PHYSICAL SYSTEMS II [331SM]

6 cfu

48 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

0 cfu

0 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

ENVIRONMENTAL FLUID MECHANICS [368SM]

6 cfu

48 hours

IMAGE PROCESSING IN PHYSICS [390SM]

6 cfu

48 hours

MOLECULAR SIMULATION [424MI]

0 cfu

0 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

GALAXY ASTROPHYSICS [476SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

ADVANCED TOPICS IN SCIENTIFIC COMPUTING [486SM]

6 cfu

48 hours

BAYESIAN STATISTICS [553SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

COMPUTATIONAL QUANTUM CHEMISTRY [562SM]

6 cfu

52 hours

COMPUTATIONAL PHYSICS LABORATORY [563SM]

6 cfu

72 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

STATISTICAL THERMODYNAMICS [020CM]

6 cfu

48 hours

COMPUTATIONAL SOLID MECHANICS [308SM]

6 cfu

48 hours

ADVANCED COSMOLOGY [309SM]

6 cfu

48 hours

MARINE ECOSYSTEMS MODELLING AND ANALYTICS [310SM]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING IN AUTONOMOUS SYSTEMS [314SM]

6 cfu

48 hours

PHYSICS AND MODELLING OF TURBULENCE [335MI]

6 cfu

48 hours

IMAGE PROCESSING IN PHYSICS [390SM]

6 cfu

48 hours

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

GALAXY ASTROPHYSICS [476SM]

6 cfu

48 hours

ADVANCED TOPICS IN SCIENTIFIC COMPUTING [486SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours
Curriculum

HIGH PERFORMANCE COMPUTING AND DATA ENGINEERING

Year:

1

2

Other activities

Required:

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING [317SM]

6 cfu

48 hours

DEEP LEARNING [452SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [996MG]

12 cfu

96 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

NUMERICAL ANALYSIS [584SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING [315SM]

6 cfu

48 hours

ALGORITHMS FOR SCIENTIFIC COMPUTING [316SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

1 insegnamento opzionale tra (6 CFU):

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

Required:

HIGH PERFORMANCE COMPUTING AND DATA INFRASTRUCTURES [306SM]

6 cfu

48 hours

ADVANCED HIGH PERFORMANCE COMPUTING [307SM]

6 cfu

48 hours

INTERNSHIP [857SM]

12 cfu

0 hours

FINAL EXAMINATION [PFINE]

24 cfu

0 hours

A scelta libera studente (12 CFU):

MACHINE LEARNING OPERATIONS [305SM]

0 cfu

0 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

BAYESIAN STATISTICS [553SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

0 cfu

0 hours

EXPLAINABLE AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [999MG]

6 cfu

48 hours

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

HIGH PERFORMANCE COMPUTING AND DATA INFRASTRUCTURES [306SM]

6 cfu

48 hours

NUMERICAL METHODS IN QUANTUM MECHANICS [541SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

ADVANCED DATABASE SYSTEMS [995MG]

6 cfu

48 hours
Curriculum

QUANTUM COMPUTING

Year:

1

2

Other activities

Required:

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING [317SM]

6 cfu

48 hours

DEEP LEARNING [452SM]

6 cfu

48 hours

INTRODUCTION TO QUANTUM INFORMATION THEORY [474SM]

6 cfu

48 hours

INTRODUCTION TO QUANTUM MECHANICS AND QUANTUM COMPUTING [475SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [996MG]

12 cfu

96 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

INFORMATION THEORY [473SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

1 insegnamento opzionale tra (6 CFU):

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING [315SM]

6 cfu

48 hours

ALGORITHMS FOR SCIENTIFIC COMPUTING [316SM]

6 cfu

48 hours

Required:

INTERNSHIP [857SM]

12 cfu

0 hours

FINAL EXAMINATION [PFINE]

24 cfu

0 hours

2 insegnamenti opzionali (12 CFU):

QUANTUM MACHINE LEARNING [303SM]

6 cfu

48 hours

QUANTUM ALGORITHMS [304SM]

6 cfu

48 hours

A scelta libera studente (12 CFU):

QUANTUM MACHINE LEARNING [303SM]

6 cfu

48 hours

QUANTUM ALGORITHMS [304SM]

6 cfu

48 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

BAYESIAN STATISTICS [553SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

EXPLAINABLE AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [999MG]

6 cfu

48 hours

QUANTUM MACHINE LEARNING [303SM]

6 cfu

48 hours

QUANTUM ALGORITHMS [304SM]

6 cfu

48 hours

RADIATIVE PROCESSES [991MG]

6 cfu

48 hours
Curriculum

comune

Year:

Other activities

PREPARATORY COURSE [483SM]

3 cfu

24 hours

INTERNSHIP [857SM]

12 cfu

0 hours

COMPUTATIONAL CLIMATOLOGY [990MG]

6 cfu

48 hours

FINAL EXAMINATION [PFINE]

24 cfu

0 hours

[SM36] Study Plan 2024/25 | ITA only

[SM36] Study Plan 2023/24 | ITA only

[SM35] Study Plan 2022/23 | ITA only

[SM35] Study Plan 2021/22 | ITA only

Teaching Regulations

For Study Plans and Teaching Regulation of previous cohorts/years.

see teaching regulations

Study Plan description

Types of educational activities (TAF), credits and elective courses

see Study Plan description

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