Machine Learning Methods For Physics – 6 CFU (optD)

Machine Learning Methods For Physics  – 6 CFU (optD)

block optD – COMPUTATIONAL METHODS
2nd Year II semester
Course Information
Course Code 80300140
Credits 6 CFU
Offered by https://www.master-mass.eu/ (from Physics LM-17 )
SSD2015 FIS/01
SSD2024 PHYS-01/A
note
  • PREREQUISITES: Basic concepts of Linear Algebra, Mathematical Analysis and Python Programming

 

Lecturer
Current Lecturer
Prof.  Michele BUZZICOTTI
☏ +39-06-7259-4584
Previous Lecturer
✉

 

 

 

 

 

 

 

Grading Criteria
Evaluation Oral exam

 

Resources
Links

 

Radar and Localization – 6 CFU (optC2.a)

Radar and Localization – 6 CFU (optC2.a)

block optC2.a – MECHATRONICS SYSTEMS AND ICT – Interconnected Electric Vehicle Engineering
2nd Year II semester

Course Information
Course Code
Credits 6 CFU
Offered by ICT and Internet Engineering
SSD2015 ING-INF/03
SSD2024 IINF-03/A
note

 

Lecturer
Current Lecturer
Prof. Mauro Leonardi
✉ mauro.leonardi@uniroma2.it
☏ 06. 7259.
Previous Lecturer
Prof.
✉

 

 

 

 

Grading Criteria
Evaluation Project Examination

Oral examination

Resources
Links

Deep Learnig and Applications – 6 CFU (opt C1.b)

Deep Learning

Deep Learning

block optC1.b – MECHATRONICS SYSTEMS AND ICT – Learning and Communication
2nd Year II semester

Course Information
Course Code
Credits 6 CFU
Offered by ICT and Internet Engineering
SSD2015 ING-INF/01
SSD2024 IINF-01/A
note A.Y. 2024-25 new

 

Lecturer
Current Lecturer
Prof. Eugenio Martinelli
✉
☏ 06. 7259.7259
Dept. of Electronic Engineering
Previous Lecturer
✉

 

 

 

 

Grading Criteria
Evaluation

Resources
Links

Machine Design – 6 CFU (block A)

Machine Design – 6 CFU (block A)

block A – MECHANICS AND DIGITAL TRANSITION
2nd Year II semester

Course Information
Course Code 80300065
Credits 6 CFU
Offered by Engineering Sciences
SSD2015 ING-IND/14
SSD2024 IIND-03/A
note

 

Lecturer
Current Lecturer
Prof. Luciano Cantone
✉
☏ 06. 7259.
Dept. of Industrial Engineering
(since A.Y. 2018-19)
Previous Lecturer
Prof.
✉

 

 

 

 

Grading Criteria
Evaluation Written exam

Oral exam

Mid-term assessment

Resources
Links

POWER ELECTRONICS AND ELECTRICAL DRIVES – 9 CFU (ALL)

POWER ELECTRONICS AND ELECTRICAL DRIVES – 9 CFU (ALL)

ALL BLOCKS
2nd Year II semester
Course Information
Course Code 8039781
Credits 9 CFU
Offered by Mechanical Engineering
SSD2015 ING/INF/01
SSD2024 IINF-01/A
note A.Y. 2022-23 1st Year I semester
A.Y. 2023-24  (NOT HELD)
Lecturer
Stefano Bifaretti
Current Lecturer
Prof. Stefano Bifaretti
✉ stefano.bifaretti@uniroma2.it
☏ +39 06. 7259.
Dept. Industrial Engineering
Prof. 
since A.Y. 2021-22
Previous Lecturer
Stefano Bifaretti (7 cfu) + Cristina Terlizzi (2 cfu) A.Y.  2022-23 A.Y. 2024-25

 

 

 

 

Grading Criteria
Evaluation Oral exam

Project assessment

Resources
Links

POWERTRAIN TECHNOLOGIES FOR FUTURE MOBILITY – 9 CFU (ALL)

POWERTRAIN TECHNOLOGIES FOR FUTURE MOBILITY – 9 CFU (ALL)

ALL BLOCKS
2nd Year II semester
Course Information
Course Code 80300077  M-6264
Credits 9 CFU
Offered by Mechanical Engineering
SSD2015 ING/IND/08
SSD2024 IIND-06/A
note Since A.Y. 2022-23 POWERTRAIN TECHNOLOGIES FOR FUTURE MOBILITY

A.Y. 2021-22  ex. Internal Combustion Engines

Lecturer
Current Lecturer
Prof. Stefano CORDINER (6/9 cfu)
✉ @uniroma2.it
☏ +39 06. 7259.
Dept. Industrial Engineering
Prof. Lorenzo BARTOLUCCI (3/9 cfu)
since
Previous Lecturer

 

 

 

 

Grading Criteria
Evaluation Written exam

Ongoing assessment

Project assessment

Resources
Links

COMPUTER VISION – 6 CFU (ALL)

COMPUTER VISION – 6 CFU (ALL)

ALL BLOCKS
2nd Year II semester
Course Information
Course Code 8039787
Credits  6 CFU
Offered by Mechatronics Engineering
SSD2015 ING/INF/07
SSD2024 IMIS-01/B
note A.Y. 2023-24 (ex MEASUREMENT SYSTEMS FOR MECHATRONICS);

A.Y. 2024-25: Computer Vision

Lecturer
Arianna Mencattini
Current Lecturer
Prof. Arianna Mencattini
✉ arianna.mencattini@uniroma2.it
☏ +39 06. 7259.7368
Dept. Electronic Engineering
since 2023-24
Previous Lecturer

 

 

 

 

 

Grading Criteria
Evaluation Written exam

Ongoing assessment

Project assessment

Resources
Links

Identification and Neural Networks – 6 CFU (opt C1.b)

Identification and Neural Networks – 6 CFU (opt C1.b)

block optC1.b – MECHATRONICS SYSTEMS AND ICT – Learning and Communication
2nd Year II semester

Course Information
Course Code 80300088
Credits 6 CFU
Offered by ICT and Internet Engineering
SSD2015
SSD2024
note A.Y. 2025-26 (new name “Identification and Neural Networks”)

A.Y. 2023-24 ex Adaptive Systems (block C-opt)

 

Lecturer
Current Lecturer
Prof. Giovanni Luca Santosuosso
✉ santosuosso@ing.uniroma2.it
☏ 06. 7259.7414
Dept. of Electronic Engineering
Previous Lecturer
Patrizio Tomei (4cfu) Eugenio Martinelli (2cfu) A.Y. 2023-24 ex Adaptive Systems (block C-opt)
Giovanni Luca SANTOSUOSSO A.Y. 2024-25 has not been activated
A.Y. 2025-26 (new name “Identification and Neural Networks”
✉

 

 

 

 

Grading Criteria
Evaluation

Resources
Links

CONTROL OF ELECTRICAL MOTORS AND VEHICLES – 6 CFU (C1-C2-optE.b)

CEM

CEM

block C1 – MECHATRONICS SYSTEMS AND ICT – Learning and communication
block C2 – MECHATRONICS SYSTEMS AND ICT – Interconnected Electric Vehicle Engineering
block OptE.b – ELECTROMECHANICS
2nd Year II semester
Course Information
Course Code 8039782
Credits 6 CFU
Offered by Mechatronics Engineering
SSD2015 ING-INF/04
SSD2024 IINF-04/A
note A.Y. 2025–26: new course name – Control of Electrical Motors and Vehicles (formerly A.Y. 2025-26 ex Control of Electrical Machines)

 

Lecturer
Current Lecturer
Prof. Cristiano Maria Verrelli
☏ 06. 7259.7310
Previous Complementary Lecturer
✉

 

 

 

 

 

 

 

Grading Criteria
Evaluation Oral examination

 

Resources
Links

 

Electric Propulsion – 6 CFU (optC2.b)

Electric Propulsion – 6 CFU (optC2.b)

BLOCK: opt C2.b – MECHATRONICS SYSTEMS AND ICT – Interconnected Electric Vehicle Engineering 
1st Year II semester

Course Information
Course Code 80300151
Credits 6 CFU
Offered by
SSD2015 ING-INF/01
SSD2024 IINF-01/A
note Prerequisites: It is suggested to have the basic knowledge of Electrical Network Analysis and Power Electronics

Lecturer
Current Lecturer
Prof. Marcello Pucci
✉
☏ 06. 7259.
since 2024-25
Previous Lecturer
Prof.
✉

Grading Criteria
Evaluation Project examination
Oral examination

Resources
Links