UNIVERSITA' DEGLI STUDI ROMA "TOR VERGATA"| 2 YEAR | II semester | 6 CFU |
| Luciano CANTONE | since A.Y. 2018-19 – program 📑 |
| (by Engineering Sciences) | |
| Code: 80300065 SSD:ING-IND/14 |
Machine Design – 6 CFU (block A)
6 CFU
Digital Signal Processing – 6 CFU (optC1.b/optC2.b)
| 1 YEAR | II semester | 6 CFU |
| ICT and Internet Engineering | |
| Marina RUGGIERI (5cfu)
Tommaso ROSSI (1cfu) |
A.Y. 2025-26
|
| Code: 8039514 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 a +3 credits of formative activities, with focus on pre-assigned additional topics of the DSP realm.
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 |
Analogue Electronics – 9 CFU (block B-opt)
| PROFESSOR | 1 Year – II semester | 6 CFU + 3 cfu extra |
| Rocco Giofre’ | A.Y. 2021-22 to A.Y. 2022-23 |
| Paolo Colantonio | since A.Y. 2023-24 |
|
|
Course Code: 8037954 (9CFU)
SSD2015: ING-INF/01Students 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.
Syllabus
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Classification of electrical systems and requirements.
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Analysis of transitory and frequency behavior.
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Distortion in electronic systems and Bode diagrams.
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Diode semiconductor devices and circuit applications: clipper, clamper, peak detector, etc.
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Bipolar Junction and Field Effect Transistors.
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Biasing techniques for Transistors.
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Amplifiers classification, analysis and circuit design.
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Differential amplifiers and Cascode.
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Current mirrors.
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Frequency response of single and cascaded amplifiers.
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Feedback amplifiers and stability issues.
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Power amplifiers.
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Operational amplifiers and related applications.
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Integrated circuits and voltage waveform generators.
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Oscillator circuits.
NANOTECHNOLOGY – 6 CFU
| 1 YEAR | II semester | 6 CFU |
| Antonio Agresti (3cfu) Francesca De Rossi (3cfu) |
A.Y. 2021-22 |
| Antonio Agresti (3cfu) Fabio Matteocci (3cfu) |
A.Y. 2022-23 A.Y. 2023-24 |
| Antonio Agresti (5cfu)
Sara Pescetelli (1cfu) |
A.Y. 2024-25 A.Y. 2025-26
|
| didatticaweb | |
| Syllabus
Code: 8039791 |
Feedback Control Systems (optE) 25-26 – Mathematics of Feedback Control 26-27
| 1 YEAR | II semester | 6 CFU |
| Cristiano M. VERRELLI | since 2017-18 (provided by Engineering Sciences)since 2022-23 to 2024-25 (block B) since 2025-26 (block optE) |
| Cristiano M. VERRELLI (4) Mohamed El Arayshi (2) |
2025-26 2026-27 change name: Mathematics of Feedback Control |
| Syllabus
|
SYLLABUS:
The matrix exponential; the variation of constants formula.
Computation of the matrix exponential via eigenvalues and eigenvectors and via residual matrices. Necessary and sufficient conditions for exponential stability: Routh-Hurwitz criterion. Invariant subspaces.
Impulse responses, step responses and steady state responses to sinusoidal inputs. Transient behaviours. Modal analysis: mode excitation by initial conditions and by impulsive inputs; modal observability from output measurements; modes which are both excitable and observable. Popov conditions for modal excitability and observability. Autoregressive moving average (ARMA) models and transfer functions.
Kalman reachability conditions, gramian reachability matrices and the computation of input signals to drive the system between two given states. Kalman observability conditions, gramian observability matrices and the computation of initial conditions given input and output signals. Equivalence between Kalman and Popov conditions.
Kalman decomposition for non-reachable and non-observable systems.
Eigenvalues assignment by state feedback for reachable systems. Design of asymptotic observers and Kalman filters for state estimation of observable systems. Design of dynamic compensators to stabilize any reachable and observable system. Design of regulators to reject disturbances generated by linear exosystems.
Bode plots. Static gain, system gain and high-frequency gain.
Zero-pole cancellation.
STATISTICS:
| A.Y. | Mechatronics students | Other courses Students | Mechatronics average | Other courses average |
| 2019/2020 | 10 | 62 | 24 | 23 |
| 2020/2021 | 19 | 25 | 23 | 24 |
| 2021/2022 | 13 | 44 | 21 | 22 |
Innovative Materials with Laboratory (blocks C1-E)
| PROFESSOR | 1 Year – 1 semester | 6 CFU |
| TATA MARIA ELISA (1cfu) COSTANZA GIROLAMO (1cfu) VARONE ALESSANDRA (4cfu) |
A.Y. 2020-21 to A.Y. 2024-25 (B-C1-E) |
| COSTANZA GIROLAMO (4cfu)
TATA MARIA ELISA (2cfu) |
A.Y. 2025-26 (C1-E) |
| (provided by Mechatronics Engineering) |
|
 Block: C1 – E
SSD2015: ING-IND/21 |
Syllabus
Prof. COSTANZA (4/6 CFU)
Metallurgy Fundamentals: crystal structure, defects, plastic deformation. Mechanical tests.
Ultrafine grained (UFG) materials: microstructural features and production routes.
Shape memory alloys. One way and Two way shape memory effect. Shape setting and training.
Nanoporous and mesoporous materials: structural characterization and properties.
Functional and Smart Materials. Property change as a response of external stimulus: thermochromic, photomechanical. Energy conversion: piezoelectric, thermoelectric, photoluminescent. Phase change materials . Functionally graded materials.
Powder metallurgy, Additive Manufacturing Technologies.
Advanced composite materials: properties, applications and their production routes.
Prof. TATA (2/6 CFU)
Amorphous alloys: production and applications of metallic glasses as mechatronic devices. Alloys with mixed structure (nanocrystalline and amorphous).
Porour materials: metal foams, open and closed-porosity (micro and macro). Classification according to size and shape of the pores. Properties (sound, energy and vibration absorption, crash behavior) and production methods. Functional and structural applications: lightweight construction, automotive. Metal sandwich structures.