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

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

Block A “Thermo Mechanics”

block A

—> Dedicated to BS: Electronic Engineering – Biomedical Engineering with a background in Electronics

SPECIFIC SUBJECTS – Block A
Year sem CFU SSD class hours
FUNDAMENTALS OF MECHANICS OF SYSTEMS 1 1 6 ING-IND/13 60
MECHANICS OF MATERIALS AND STRUCTURES 1 2 6 ICAR/08 60
THERMODYNAMICS AND HEAT TRANSFER 1 2 6 ING-IND/10 60
MACHINE DESIGN 2 2 6 ING-IND/14 60
TOTAL ECTS
    24    

1st Year – I sem – II sem


2nd Year (2023-24) – I sem – II sem

 

COMPUTER VISION – 6 CFU (since 2024-25)

COMPUTER VISION – 6 CFU (since 2024-25)
2 YEAR II semester  6 CFU
Arianna Mencattini A.Y. 2023-24 (ex MEASUREMENT SYSTEMS FOR MECHATRONICS)

A.Y. 2024-25: Computer Vision

didatticaweb
✅ Syllabus📑

Code: 8039787
SSD: ING/INF/07

MEASUREMENT SYSTEMS FOR MECHATRONICS – 6 cfu (2023-24 last year)

MEASUREMENT SYSTEMS FOR MECHATRONICS – 6 cfu (2023-24 last year)
2 YEAR II semester  6 CFU
Arianna Mencattini A.Y. 2021-22

A.Y. 2022-23

A.Y. 2023-24 Measurement Systems for Mechatronics

A.Y. 2024-25: Computer Vision – program

Code: 8039787
SSD: ING/INF/07

LEARNING OUTCOMES: Learning basic concepts in digital image processing and analysis as a novel measurement system in biomedical fields. The main algorithms will be illustrated particularly devoted to the image medical fields.

KNOWLEDGE AND UNDERSTANDING: The student acquires knowledge related to the possibility to use an image analysis platform to monitor the dynamics of a given phenomenon and to extract quantitative information from digital images such as object localization and tracking in digital videos.

APPLYING KNOWLEDGE AND UNDERSTANDING: The student acquires the capability to implement the algorithms in Matlab through dedicated lessons during the course with the aim of being able to autonomously develop new codes for the solution of specific problems in different application fields.

MAKING JUDGEMENTS: :
The student must be able to integrate the basic knowledge provided with those deriving from the other courses such as probability, signal theory, and pattern recognition. some fundamentals of measurement systems as well as basic metrological definitions will be provided in support of background knowledge.

COMMUNICATION SKILLS:
The student solves a written test and develops a project in Matlab that illustrates during the oral exam. The project can be done in a group to demonstrate working group capabilities.

LEARNING SKILLS:
Students will be able to read and understand scientific papers and books in English and also to deepen some topics. In some cases, students will develop also experimental tests with time-lapse microscopy acquisition in the department laboratory.

 

SYLLABUS:

Fundamentals of metrology. Basic definitions: resolution, accuracy, precision, reproducibility, and their impact over an image based measurement system. Image processing introduction. Image representation. Spatial and pixel resolution. Image restoration. Deconvolution. Deblurring. Image quality assessment. Image enhancement. Image filtering for smoothing and sharpening. Image segmentation: pixel based (otsu method), edge based, region based (region growing), model based (active contour, Hough transform), semantic segmentation. Morphological operators. Object recognition and image classification. Case study: defects detection, object tracking in biology, computer assisted diagnosis, facial expression in human computer interface.
Matlab exercises.

ELECTRONICS OF IOT AND EMBEDDED SYSTEMS – 12 CFU

ELECTRONICS OF IOT AND EMBEDDED SYSTEMS – 12 CFU
2 YEAR 1 semester 12 CFU
Patrick LONGHI (3cfu)
Giancarlo ORENGO (3cfu)
Gian Carlo CARDARILLI (4cfu)
Luca DI NUNZIO (2cfu)
since A.Y. 2019-20
M-5519 – ELECTRONICS OF IOT (6cfu)

MECHA – Electronics of IOT and Embedded Systems (IOT) – G. Cardarilli – G. Orengo
M-5520 – DESIGN OF EMBEDDED SYSTEMS FOR MECHATRONICS (6cfu)

✅ Syllabus📑

Code: 8039795
SSD: ING-INF/01

SYLLABUS:

(Longhi):

Introduction to radiating elements and their key parameters.
Ideal and practical link budget.
The effect of noise in electronic receivers, figures of merit and mathematical modelling. Receiver G/T.
Practical aspects of IoT RF systems
RFID
Radiating elements key parameters, gain, directivity, HPBW, nulls, radiation pattern, polarization, and input impedance. Some practical cases: the mono/di-pole family, microstrip antennas, parabolic reflector, wearables
Introduction to RF transceiver systems and key-components (switches, HPA, LNA, mixers, frequency generators).

(G.Orengo):

Summary of Digital Electronics: digital encoding of information, binary (fixed and floating point), hexadecimal and ASCII; operators and main logic circuits, registers and memories, programmable devices. Prototyping boards for IoT (Arduino, Rasberry), Systems on Chip (SoC), architecture of a microcontroller, description of the Arduino Uno board. Programming languages ​​(assembly, compiled, interpreted), structure of an Arduino sketch (libraries, setups, loops, functions, interrupts), programming elements in C (variables, math and logical operations, cycles, conditional statements). Use of digital and analog I/O ports (A/D conversion, PWM output). Synchronous and asynchronous serial communication modes, wired (USB) and wireless with Bluetooth, RF and WiFi modules. Remote control of electronic modules (sensors, dc stepper and servo motors, LED/LCD displays etc.) from portable devices (Windows, IoS), through applications developed in Processing and Python, and mobile (Android), through Apps developed with the MIT App Inventor platform. Internet protocols for device local/remote control through WiFi modules connected as access points/clients to web platforms or public/private cloud servers controlled by laptops and/or mobile devices.

(G.Cardarilli):

– Introduction to the Internet of Things (IoT) and embedded systems
– Wireless and mobile communications
– The Sensors
– Low power processing
– IoT and machine learning applications
– Future developments in the field of IoT and embedded systems

 

CONTROL OF MECHANICAL SYSTEMS – 9 CFU

CONTROL OF MECHANICAL SYSTEMS – 9 CFU
2 YEAR
1 semester 9 CFU
Riccardo MARINO Since 2019-20

✅ Syllabus📑

Code: 8039823
SSD: ING-INF/04