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 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  

 

 

Lecturer
Current Lecturer
Prof. Vincenzo Mulone
✉ mulone@ing.uniroma2.it
☏ 06. 7259.7170
since a.y. 2025-26
Previous Lecturer
Prof. V. Mulone / P. Mele

 

 

 

 

Grading Criteria
Evaluation Oral examination
Problem-solving assessment

Resources
Links

Analogue Electronics (block B-opt)

Analogue Electronics (block B-opt)

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
Problem-solving assessment

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.

 

Digital Signal Processing – 9 CFU (optC1.b/optC2.b)

Digital Signal Processing – 9 CFU (optC1.b/optC2.b)
1 YEAR II semester  9 CFU
ICT and Internet Engineering
Marina RUGGIERI (cfu)

Tommaso ROSSI (cfu)

A.Y. 2025-26 

Syllabus📑

Code: 80300072
SSD: ING-INF/03

The Digital Signal Processing teaching modules offer students the opportunity to become designers, providing a solid theoretical basis, multiple design techniques and Matlab script development skills.

DSP is offered to Mechatronics students with the option of 6 credits and 9 credits format. Students who select the 6-credit option might be interested in adding 3 credits of formative activities, with a focus on pre-assigned additional topics in the DSP realm.

 

Digital Modeling of Energy Conversion – 6 CFU (block A-B) (since 2025-26)

Digital Modeling of Energy Conversion – 6 CFU (block A-B) (since 2025-26)
1 YEAR
1 semester 6 CFU
Vincenzo MULONE (3cfu)

Pietro MELE (3cfu)

A.Y. 2025-26
didatticaweb
Syllabus📑

Code:
SSD: ING-IND-08
(by Mechatronics Engineering)

Digital Modeling of Energy Conversion 9 – Block A-B

Mechanics of Systems for Simulations – 6 CFU (block A-B) (since 2025-26)

Mechanics of Systems for Simulations – 6 CFU (block A-B) (since 2025-26)
1 YEAR
1 semester 6 CFU
(ex FUNDAMENTALS OF MECHANICS OF SYSTEMS)
Marco Ceccarelli A.Y. 2025-26 program 📑
Code: 80300216 
SSD: ING-IND-13
(by Engineering Sciences)

PREREQUISITES: knowledge of basic mechanics of rigid bodies and computation skills

SYLLABUS

Structure and classification of planar mechanical systems, kinematic modelling, mobility analysis, graphical approaches of kinematics analysis, kinematic analysis with computer-oriented algorithms, dynamics and statics modelling, graphical approaches of dynamics analysis, dynamic analysis with computer-oriented algorithms, performance evaluation, elements of mechanical transmissions.

BOOKS:

Lopez-Cajùn C., Ceccarelli M., Mecanismos, Trillas, Città del Messico
Shigley J.E., Pennock G.R., Uicker J.J., “Theory of Machines and Mechanisms”, McGraw-Hill, New York
Handnotes and papers by the teachers