UNIVERSITA' DEGLI STUDI ROMA "TOR VERGATA"| 1 YEAR | I semester | 6 CFU |
| (from ICT) | |
| Ernestina CIANCA | A.Y. 2023-24
|
|
Code: 8039522 |
Digital Communications – 6 CFU (opt C1.a)
a.a. 2024-25
Adaptive Systems (block C-opt) –> Identification and Neural Networks (24-25)
| 2 YEAR | II semester | 6 CFU |
| Patrizio Tomei (4cfu) Eugenio Martinelli (2cfu) |
A.Y. 2023-24 |
| SANTOSUOSSO Giovanni Luca | A.Y. 2024-25 not be activated |
| A.Y. 2025-26 (new name “Identification and Neural Networks” |
|
| Didatticaweb | |
| Code: 80300088 SSD: ING-INF/04 |
Pre-requirement: The basics of systems theory and control are required.
LEARNING OUTCOMES: The course aims to provide the basic techniques for the design of predictors, filters, and adaptive controllers.
KNOWLEDGE AND UNDERSTANDING: Students must obtain a detailed understanding of design techniques with the help of MATLAB-SIMULINK to solve industrial problems of adaptive filtering, adaptive prediction, and adaptive control.
APPLYING KNOWLEDGE AND UNDERSTANDING: Students must be able to apply the project techniques learned in the course even in different industrial situations than those examined in the various phases of the course.
MAKING JUDGEMENTS: Students must be able to apply the appropriate design technique to the specific cases examined, choosing the most effective algorithms.
COMMUNICATION SKILLS: Students must be able to communicate using the terminology used for filtering, prediction, and adaptive control. They must also be able to provide logical and progressive exposures starting from the basics, from structural properties, from modeling to the design of algorithms, without requiring particular prerequisites. Students are believed to be able to understand the main results of a technical publication on the course topics. Guided individual projects (which include the use of Matlab-Simulink) require assiduous participation and exchange of ideas.
LEARNING SKILLS: Students must be able to identify the appropriate techniques and algorithms in real cases that arise in industrial applications. Furthermore, it is believed that students have the ability to modify the algorithms learned during the course in order to adapt them to particular situations under consideration.
Texts
Adaptive Filtering Prediction and Control, Graham C. Goodwin, Kwai Sang Sin, Dover Publications, 2009.
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 |
|
|
Code: 8039795 |
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
| 2 YEAR |
1 semester | 9 CFU |
| Riccardo MARINO | Since 2019-20 |
Code: 8039823 |
Digital Electronics – 6 CFU (block B)
| 1 YEAR | I semester | 6 CFU |
| Marco Re |
since A.Y. 2021-25 |
| Vittorio Colombo | A.Y. 2025-26
|
| Didatticaweb
Code: 80300061 |
Fundamentals of Mechanisms of Systems (block A) (since 2022-23)
| 1 YEAR |
1 semester | 6 CFU |
| Marco Ceccarelli | A.Y. 2021-22 to 2024-25
A.Y. 2025-26 new name: 80300216 MECHANICS OF SYSTEMS FOR SIMULATIONS |
| Code: 803000062 SSD: ING-IND-13 (by Engineering Sciences) |
OBJECTIVES
LEARNING OUTCOMES: The course aims to teach students the knowledge and tools that are needed to address the issues that are related to the identification, modeling, analysis, and design of multi-body planar systems in English language and terminology
KNOWLEDGE AND UNDERSTANDING: modeling and procedures to recognize the structure and characteristics of mechanisms and machines
APPLYING KNOWLEDGE AND UNDERSTANDING: acquisition of analysis procedures for the understanding of kinematic and dynamic characteristics of mechanisms and machines
MAKING JUDGEMENTS: possibility of judging the functionality of mechanisms and machines with their own qualitative and quantitative assessments
COMMUNICATION SKILLS: learning technical terminology and procedures for presenting the performance of mechanisms
LEARNING SKILLS: learning technical terminology and procedures for the presentation of the performance of mechanisms
PREREQUISITES: knowledge of basic mechanics of rigid bodies and computation skills
SYLLABUS
Structure and classification of planar mechanical systems, kinematic modeling, mobility analysis, graphical approaches of kinematics analysis, kinematic analysis with computer-oriented algorithms; dynamics and statics modeling, 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
Machine Design – 6 CFU (block A)
| 2 YEAR | II semester | 6 CFU |
| Luciano CANTONE | since A.Y. 2018-19 – program 📑 |
| (by Engineering Sciences) | |
| Code: 80300065 SSD:ING-IND/14 |
POWERTRAIN TECHNOLOGIES FOR FUTURE MOBILITY – 9 CFU
| 2 YEAR | II semester | 9 CFU |
| Stefano CORDINER (6/9 cfu) Lorenzo BARTOLUCCI (3/9 cfu) |
A.Y. 2021-22
Internal Combustion Engines |
| Since A.Y. 2022-23
POWERTRAIN TECHNOLOGIES FOR FUTURE MOBILITY
|
|
 Syllabus
Code: 80300079 80300077 M-6264 |
Thermodynamics and Heat Transfer (block A)
| 1 YEAR | II semester | 6 CFU |
| Michela GELFUSA | A.Y. 2021-22 (by Engineering Sciences)
A.Y. 2024-25 (last year) |
| Code: 80300063 SSD: ING-IND/10 (by Engineering Sciences) |
- Prerequisites: Knowledge of basic notions from physics courses, above all physical quantities, units of measurement, fundamental laws of mechanics, optics and electromagnetism.
- Objectives:
- LEARNING OUTCOMES: The course aims to provide students with the basic principles, physical laws, and applications of thermodynamics and heat transfer, with the dual purpose of preparing them to afford more applicative courses, and use the acquired knowledge for design and sizing simple components and thermal systems.
- KNOWLEDGE AND UNDERSTANDING: Students will have to understand the laws of applied thermodynamics and heat transfer, and understand the structure and operation of simplest components and systems. They will also demonstrate that they have acquired the basic methodologies for verifying and designing the studied devices.
- APPLYING KNOWLEDGE AND UNDERSTANDING: Students should be able to size and/or verify simple components and systems, such as, for example engine systems.
- MAKING JUDGEMENTS: Students will have to acquire the autonomous ability to face subsequent studies for which this course is preparatory, and to draw up simple projects of thermal systems that use the components studied. They will also have to be able to evaluate projects drawn up by other parties, checking that the project specifications are respected. COMMUNICATION SKILLS: Students must be able to illustrate in a complete and exhaustive way the acquired information, the results of their study and of their project activity, also through the normally used means of communication (discussion of the results obtained, report on the performed activity, Power Point presentations, etc.).
- LEARNING SKILLS: Students must be able to apply the physical laws underlying the studied phenomena, and to face further studies that use the acquired knowledge. They will have to be able to expand the already owned information through the analysis of technical-scientific literature, and to modify their curricula choosing future knowledge to be acquired on the base of their knowledge and tendency.
Mechanics of Materials and Structures – 6 CFU (block A-E)
| 1 YEAR | II semester | 6 CFU |
| Andrea Micheletti | A.Y. 2021-22 (9 cfu) |
| Andrea Micheletti | A.Y. 2022-23 A.Y. 2024-25 (6 cfu)ES – Mechanics of Materials and Structures (MMS) — A. Micheletti |
| Syllabus
Code: 80300064 |