Study plan

Check the latest Study Plan available. For previous cohorts, visit the Teaching Regulations page.

Curriculum

COMPUTATIONAL MODELING AND DIGITAL TWINS

Year:

1

2

Required:

DEEP LEARNING [452SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [996MG]

12 cfu

96 hours

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING [317SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

1 optional course between (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 optional course between (6 CFU):

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED NUMERICAL ANALYSIS [579SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING [315SM]

6 cfu

48 hours

ALGORITHMS FOR SCIENTIFIC COMPUTING [316SM]

6 cfu

48 hours

1 optional course between (6 CFU):

COMPUTATIONAL FLUID DYNAMICS [313SM]

6 cfu

48 hours

COMPUTATIONAL PHYSICS LABORATORY [563SM]

6 cfu

72 hours

COMPUTATIONAL QUANTUM CHEMISTRY [562SM]

6 cfu

52 hours

INTRODUCTION TO ASTROPHYSICS AND COSMOLOGY [311SM]

6 cfu

48 hours

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

6 cfu

48 hours

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

REMOTE SENSING [312SM]

6 cfu

48 hours

Required:

FINAL EXAMINATION [PFINE]

24 cfu

0 hours

INTERNSHIP [857SM]

12 cfu

0 hours

1 optional course between (6 CFU):

ADVANCED TOPICS IN SCIENTIFIC COMPUTING [486SM]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED COSMOLOGY [309SM]

6 cfu

48 hours

COMPUTATIONAL FLUID DYNAMICS [313SM]

6 cfu

48 hours

COMPUTATIONAL PHYSICS LABORATORY [563SM]

6 cfu

72 hours

COMPUTATIONAL QUANTUM CHEMISTRY [562SM]

6 cfu

52 hours

COMPUTATIONAL SOLID MECHANICS [308SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

GALAXY ASTROPHYSICS [476SM]

6 cfu

48 hours

IMAGE PROCESSING IN PHYSICS [390SM]

6 cfu

48 hours

INTRODUCTION TO ASTROPHYSICS AND COSMOLOGY [311SM]

6 cfu

48 hours

MARINE ECOSYSTEMS MODELLING AND ANALYTICS [310SM]

6 cfu

48 hours

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

6 cfu

48 hours

PHYSICS AND MODELLING OF TURBULENCE [335MI]

6 cfu

48 hours

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

REMOTE SENSING [312SM]

6 cfu

48 hours

STATISTICAL THERMODYNAMICS [020CM]

6 cfu

48 hours

Elective courses (12 CFU):
Curriculum

HIGH PERFORMANCE COMPUTING AND DATA ENGINEERING

Year:

1

2

Required:

DEEP LEARNING [452SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [996MG]

12 cfu

96 hours

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING [317SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

1 optional course between (6 CFU):

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

NUMERICAL ANALYSIS [584SM]

6 cfu

48 hours

1 optional course between (6 CFU):

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING [315SM]

6 cfu

48 hours

ALGORITHMS FOR SCIENTIFIC COMPUTING [316SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

1 optional course between (6 CFU):

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

Required:

ADVANCED HIGH PERFORMANCE COMPUTING [307SM]

6 cfu

48 hours

HIGH PERFORMANCE COMPUTING AND DATA INFRASTRUCTURES [306SM]

6 cfu

48 hours

FINAL EXAMINATION [PFINE]

24 cfu

0 hours

INTERNSHIP [857SM]

12 cfu

0 hours

Elective courses (12 CFU):
Curriculum

QUANTUM COMPUTING

Year:

1

2

Required:

DEEP LEARNING [452SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [996MG]

12 cfu

96 hours

INTRODUCTION TO QUANTUM INFORMATION THEORY [474SM]

6 cfu

48 hours

INTRODUCTION TO QUANTUM MECHANICS AND QUANTUM COMPUTING [475SM]

6 cfu

48 hours

PROBABILITY AND STATISTICS FOR SCIENTIFIC COMPUTING [317SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

SOFTWARE DEVELOPMENT METHODS [567SM]

6 cfu

48 hours

1 optional course between (6 CFU):

INFORMATION THEORY [473SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

1 optional course between (6 CFU):

PROBABILISTIC MACHINE LEARNING [454SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED ALGORITHMS FOR SCIENTIFIC COMPUTING [315SM]

6 cfu

48 hours

ALGORITHMS FOR SCIENTIFIC COMPUTING [316SM]

6 cfu

48 hours

Required:

FINAL EXAMINATION [PFINE]

24 cfu

0 hours

INTERNSHIP [857SM]

12 cfu

0 hours

2 optional courses between (12 CFU):

INFORMATION THEORY [473SM]

6 cfu

48 hours

QUANTUM ALGORITHMS [304SM]

6 cfu

48 hours

QUANTUM MACHINE LEARNING [303SM]

6 cfu

48 hours

Elective courses (12 CFU):

[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

SCIENTIFIC AND DATA-INTENSIVE COMPUTING

COMPUTATIONAL MODELING AND DIGITAL TWINS

HIGH PERFORMANCE COMPUTING AND DATA ENGINEERING

QUANTUM COMPUTING

Department

Location

Ministerial degree class

Double degree

Inter-university

Admission

Teaching modality

PA 110 cum laude

Visa applicants

SCIENTIFIC AND DATA-INTENSIVE COMPUTING

Main content

Study plan

COMPUTATIONAL MODELING AND DIGITAL TWINS

HIGH PERFORMANCE COMPUTING AND DATA ENGINEERING

QUANTUM COMPUTING

Department

Location

Ministerial degree class

Double degree

Inter-university

Admission

Teaching modality

PA 110 cum laude

Visa applicants