6 CFU Archives - Page 3 of 6 - Mechatronics Engineering

Electronic Interfaces – 6 CFU (optB, optC1.b, optC2.b, optE.a)

Simona Ranieri 1st year, 6 CFU, a.a. 2026-27, II semester, optB, optC1.b, optC2.b, optE.a, Subjects 4 September 202628 September 2026

BLOCK: opt B – ELECTRONICS AND DIGITAL TRANSITION

BLOCK opt C1.b – MECHATRONICS SYSTEMS AND ICT – LEARNING AND COMMUNICATION

BLOCK: opt C2.b – MECHATRONICS SYSTEMS AND ICT – INTERCONNECTED ELECTRIC VEHICLE ENGINEERING

BLOCK opt E.a – ELECTROMECHANICS

1^st Year

II semester

Course Information
Course Code	80300103
Credits	6 CFU
Offered by	Mechatronics Engineering
SSD2015	ING-INF/01
SSD2024	IINF-01/A
note

Lecturer
	Current Lecturer Prof. Christian Falconi ✉ falconi@eln.uniroma2.it ☏ 06. 7259.7347 Dept. Electronic Engineering since a.y. 2022-23 A.Y. 2023-24 (new block E)
	Previous Lecturer Prof. Usman Khan (2 cfu) a.y. 25-26 ✉

Grading Criteria
Evaluation	Written examination Oral examination

Resources
Links	DidatticaWeb ℹ️ Official Course Information (GOMP) Scheda d’insegnamento: MECHA – Electronic Interfaces (EI) — C. Falconi

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

Simona Ranieri 1st year, 6 CFU, a.a. 2026-27, Block A-Mechanics and Digital Transition, ES, II semester, optE.c, Subjects 4 September 202625 September 2026

block A – MECHANICS AND DIGITAL TRANSITION

block optE.c – ELECTROMECHANICS

1^st 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	DidatticaWeb ℹ️ Official Course Information (GOMP) Course Syllabus (details): ES – Mechanics of Materials and Structures (MMS) — A. Micheletti

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

Simona Ranieri 1st year, 6 CFU, a.a. 2026-27, Block A-Mechanics and Digital Transition, Block B-Electronics and Digital Transition, ES, I sem, Subjects 3 September 202628 September 2026

block A – MECHANICS AND DIGITAL TRANSITION

block B – ELECTRONICS AND DIGITAL TRANSITION

1^st 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	DidatticaWeb ℹ️ Official Course Information (GOMP) Course Syllabus (details): ES – Mechanics of Systems Simulations (MSS) — M. Ceccarelli

NANOTECHNOLOGY 6 CFU (ALL)

Simona Ranieri 1st year, 6 CFU, a.a. 2026-27, ALL blocks, Block A-Mechanics and Digital Transition, Block B-Electronics and Digital Transition, Block C-Mechatronic Systems and ICT, Block C1-ICT LC, Block C2-ICT IEVE, Block D-Computational Methods, BLOCK E–Electromechanics, e-no-opt, II semester, Subjects 3 August 202622 September 2026

ALL BLOCKS

1^st 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	didatticaweb ℹ️ Official Course Information (GOMP) Course Syllabus (details): MECHA – Nanotechnology (NAN) — A. Agresti-S.Pescetelli

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

Simona Ranieri 1st year, 6 CFU, a.a. 2026-27, Block A-Mechanics and Digital Transition, Block B-Electronics and Digital Transition, I sem, Subjects 3 August 202624 September 2026

block A – MECHANICS AND DIGITAL TRANSITION

block B – ELECTRONICS AND DIGITAL TRANSITION

1^st 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	DidatticaWeb ℹ️ Official Course Information (GOMP) Course Syllabus (details): MECHA – DIGITAL MODELING FOR ENERGY CONVERSION (DM) new — V. Mulone

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

Simona Ranieri 2nd year, 6 CFU, a.a. 2024-25, a.a. 2025-26, II semester, optC1.b, Subjects 30 July 202520 May 2026ADAPTIVE SYSTEMS, c-choice2, Identification and neural networks, Mechatronics Engineering, Tor Vergata

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

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

Simona Ranieri 1st year, 6 CFU, a.a. 2025-26, Block A-Mechanics and Digital Transition, Block B-Electronics and Digital Transition, I sem, Subjects 24 April 202511 March 2026Digital Modeling For Energy Conversion, Mechatronics Engineering, Tor Vergata

1 YEAR

1 semester

6 CFU

Vincenzo MULONE (3cfu)

Pietro MELE (3cfu)

A.Y. 2025-26

didatticaweb

✅ Syllabus📑

MECHA – DIGITAL MODELING FOR ENERGY CONVERSION (DM) new — V. Mulone

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)

Simona Ranieri 1st year, 6 CFU, a.a. 2025-26, Block A-Mechanics and Digital Transition, Block B-Electronics and Digital Transition, I sem, Subjects 23 April 20253 September 2026Mechanics Of Systems For Simulations, Tor Vergata

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

Radar and Localization – 6 CFU (optC2.a)

Simona Ranieri 2nd year, 6 CFU, a.a. 2025-26, Block C2-ICT IEVE, II semester, optC2.a, Subjects 17 April 202524 September 2025ICT, Radar and Localization, Tor Vergata

2 YEAR

II semester

6 CFU

Prof. Mauro Leonardi

A.Y. 2025-26

(By ICT)

Code: 80300159
SSD: ING-INF/03

LEARNING OUTCOMES: Knowledge of the main applications and operations of radar systems with the necessary basic elements (both theoretical and technical-operational).

KNOWLEDGE AND UNDERSTANDING: Being aware, at the system level, performance in terms of scope, discrimination, ambiguity, Doppler filtering

APPLYING KNOWLEDGE AND UNDERSTANDING: knowing how to deal with new problems with the methods learned

MAKING JUDGEMENTS: the ability to choose among the various methods learned the proper one to face new problems and radar design.

Syllabus – Radar Systems

1. Fundamentals

General information on radar.
Spectrum usage.
Radar measurements:
- Distance.
- Radial velocity.
- Angular location.

2. Radar Equation and Propagation

Fundamental radar equation.
Receiver and antenna noise.
Propagation: attenuation and reflections.
Losses.

3. Radar Cross Section and Target Models

Radar Cross Section (RCS).
Target fluctuation models:
- Slow fluctuation.
- Rapid fluctuation.

4. Target Detection

Detection of fixed targets.
Detection of moving targets.
Pulse integration.

5. Decision Theory and Radar Detection

Decision criteria.
Detection with a single pulse.
Detection with N pulses.

6. Radar Types

Pulsed radar.
Continuous Wave (CW) radar.
Frequency Modulated Continuous Wave (FMCW) radar.
Automotive radar.

MACHINE LEARNING METHODS FOR PHYSICS – 6 CFU (D-opt)

Simona Ranieri 2nd year, 6 CFU, a.a. 2025-26, Block D-Computational Methods, II semester, optD, Subjects 17 April 20251 October 2026D-opt, MATHEMATICAL METHODS FOR PHYSICS, Mechatronics Engineering, Tor Vergata

2 YEAR (Block D)

2 semester

6 CFU

	(from Physics LM-17 )
Prof. Michele BUZZICOTTI	A.Y. 2025-26 program 📑
	Code: 80300140 SSD: FIS/02SSD2024: PHYS-02/A 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.