Mechanics of Materials and Structures – 6 CFU (block A-optE.c)

Mechanics of Materials and Structures – 6 CFU (block A-optE.c)

block A – MECHANICS AND DIGITAL TRANSITION
block optE.c – ELECTROMECHANICS
1st Year II semester

Course Information
Course Code 80300064
Credits 6 CFU
Offered by Engineering Sciences
SSD2015 ICAR/08
SSD2024 CEAR-06/A
note

 

Lecturer
Current Lecturer
Prof. Andrea Micheletti
✉ micheletti@ing.uniroma2.it
☏ 06. 7259.
Dept. of Industrial Engineering
(since a.y. 2023-24)
Previous Lecturer
Prof. A.Micheletti + Edoardo Artioli (2019-20 to 2022-23)
✉

 

 

 

 

Grading Criteria
Evaluation Oral examination
Practical examination

Resources
Links

Digital Electronics (block B)

Digital Electronics (block B)

BLOCK: B – ELECTRONICS AND DIGITAL TRANSITION
1st Year I semester

Course Information
Course Code 8037956
Credits 6 CFU 
Offered by Engineering Sciences
SSD2015 ING-INF/01
SSD2024 IINF-01/A
note

Lecturer
 
Current Lecturer
Prof. Vittorio Colombo
✉ vittorio.colombo@uniroma2.it
☏ 06. 7259.
since a.y. 2026-27
Previous Lecturer
Prof. Marco Re (a.y. 2017-18 to 2025-26)
✉ @ing.uniroma2.it

Grading Criteria
Evaluation Written examination
Oral examination

Resources
Links

Mechanics of Systems for Simulations – 6 CFU (block A-B)

Mechanics of Systems for Simulations – 6 CFU (block A-B)

​

block A – MECHANICS AND DIGITAL TRANSITION
block B – ELECTRONICS AND DIGITAL TRANSITION
1st Year I semester

Course Information
Course Code 80300062
Credits 6 CFU
Offered by Engineering Sciences
SSD2015 ING-IND/13
SSD2024 IIND-02/A
note PREREQUISITES: knowledge of basic mechanics of rigid bodies and computation skills

A.Y. 2025–26: new course name – Integrated Sensors (formerly FUNDAMENTALS OF MECHANICS OF SYSTEMS)

 

Lecturer
Current Lecturer
Prof. Marco Ceccarelli
✉ marco.ceccarelli@uniroma2.it
☏ 06. 7259.7177
Dept. Industrial Engineering
since a.y. 2025-26
Previous Lecturer
Prof.
✉

 

 

 

 

Grading Criteria
Evaluation Oral examination
Practical examination

Resources
Links

VLSI CIRCUIT AND SYSTEM DESIGN – 9 CFU (ALL)

VLSI

VLSI

ALL BLOCKS
1st Year II semester

Course Information
Course Code 8039166
Credits  9 CFU (7 + 2)
Offered by Mechatronics Engineering
SSD2015 ING-INF/01
SSD2024 IINF-01/A
note

Lecturer
Current Lecturer
Dr. Alessia DI VITO
☏ 06. 7259. 7777
Dr. Gemma GILIBERTI
since a.y. 2025-26
Previous Lecturers

Prof. Luca DI NUNZIO (5 cfu) a.y. 2022-23 to 2024-25 (9 cfu) a.y. 2021-22

Dr. Vittorio MELINI (2 cfu) a.y. 2022-23 to 2024-25

Dr. Sergio SPANO’ (2 cfu) a.y. 2022-23 to 2024-25

Grading Criteria
Evaluation Written examination
Oral examination
Problem assessment

Resources
Links

INTEGRATED SENSORS – 9 CFU (ALL)

INTEGRATED SENSORS – 9 CFU (ALL)

ALL BLOCKS
1st Year I semester
Course Information
Course Code 8039927
Credits  9 CFU (8+1)
Offered by Mechatronics Engineering
SSD2015 ING-INF/01
SSD2024 IINF-01/A
note A.Y. 2019–20: new course name – Integrated Sensors (formerly Electronic Devices and Sensors)
Lecturer
Current Lecturer
Prof. Alexandro Catini
✉ catini@ing.uniroma2.it
☏ 06. 7259.7349
Prof. Corrado Di Natale
Previous Lecturer
Alexandro Catini (6 cfu) 2022-23
Corrado  Di Natale (3 cfu) 2022-23
Corrado Di Natale (9 cfu) 2019-20

 

 

 

 

Grading Criteria
Evaluation written examination

 

Resources
Links

NANOTECHNOLOGY 6 CFU (ALL)

NANOTECHNOLOGY 6 CFU (ALL)

ALL BLOCKS
1st Year I semester

Course Information
Course Code 8039791
Credits  6 CFU (5+1)
Offered by Mechatronics Engineering
SSD2015 ING-INF/01
SSD2024 IINF-01/A
note

Lecturer
Current Lecturer
Prof. Antonio Agresti
✉ antonio.agresti@uniroma2.it
☏ 06. 7259.7562
Dr Sara Pescetelli
since a.y. 2024-25
Previous Lecturer
Prof. Francesca De Rossi (3 CFU) 2021-22
Fabio Matteocci (3 CFU) 2022-23 to  2023-24

Grading Criteria
Evaluation Oral examination

Resources
Links

Digital Modeling of Energy Conversion – 6 CFU (block A-B)

Digital Modeling of Energy Conversion – 6 CFU (block A-B)

block A – MECHANICS AND DIGITAL TRANSITION
block B – ELECTRONICS AND DIGITAL TRANSITION
1st Year I semester

Course Information
Course Code 8037954
Credits 6 CFU (3+3)
Offered by Mechatronics Engineering
SSD2015 ING-IND/08
SSD2024 IIND-06/A
note

Course Start Date Postponed: 

Please be informed that, in agreement with Prof. Mulone, the Digital Modeling of Energy Conversion (DMEC) course will officially start on Monday, September 28, 2026.

 

Lecturer
Current Lecturer
Prof. Vincenzo Mulone
✉ mulone@ing.uniroma2.it
☏ 06. 7259.7170
Dept. Industrial Engineering
Dr. Edoardo Cennamo (a.y. 2026-27)
Previous Lecturer
Prof. V. Mulone (3 cfu)/ Dr. P. Mele (3 cfu) (a.y. 2025-26)
✉ mulone@ing.uniroma2.it

 

 

 

 

Grading Criteria
Evaluation Oral examination
Practical examination

Resources
Links

Analogue Electronics (block optB)

Analogue Electronics (block optB)

BLOCK: block B-opt – ELECTRONICS AND DIGITAL TRANSITION
1st Year II semester

Course Information
Course Code 8037954
Credits 6 + 3 CFU extra
Offered by Engineering Sciences
SSD2015 ING-INF/01
SSD2024 IINF-01/A
note Students who include Analogue Electronics in their study plan are strongly advised to take it in its 9-CFU version, with the last 3 CFUs (out of 9) serving as Extra Credits.

Lecturer

Current Lecturer
Prof. Paolo Colantonio
✉ paolo.colantonio@uniroma2.it
☏ 06. 7259.7323
since a.y. 2023-24
Previous Lecturer
Prof. Rocco Gioffré
✉ giofr@ing.uniroma2.it
a.y. 2021-22 to 2022-23

Grading Criteria
Evaluation Written examination
Oral examination

Resources
Links

Identification and Neural Networks – 6 CFU (since 24-25)

Identification and Neural Networks – 6 CFU (since 24-25)
2 YEAR II semester  6 CFU
Patrizio Tomei (4cfu)
Eugenio Martinelli (2cfu)
A.Y. 2023-24 ex Adaptive Systems (block C-opt) 
Giovanni Luca SANTOSUOSSO A.Y. 2024-25 not been activated
A.Y. 2025-26
(new name “Identification and Neural Networks”
Didatticaweb
✅ Syllabus📑

Code: 80300088
SSD: ING-INF/04

 

Quantum Computing (D-opt)

Mathematical-Methods
2 YEAR (Block D)
2 semester 8 CFU
(from Electronic Engineering)
Prof. SARGENI FAUSTO, AUF DER MAUR MATTHIAS, DI CARLO ALDO, SALAMON ANDREA  A.Y. 2025-26 activated
start in the a.y. 2026-27
Code: 80300140
SSD: FIS/01
https://www.master-mass.eu/

 

  • PREREQUISITES: Basic concepts of Linear Algebra, Mathematical Analysis and Python Programming
  • OBJECTIVE: The lectures are thought to give a solid knowledge of the theoretical Machine Learning (ML) background. A special focus is given to the ML application for data analysis of physical systems. The students will also learn how to implement a typical ML model using the standard libraries in a Python environment.