Erasmus Days 2025 – The World of Erasmus+ at Tor Vergata University

Erasmus Days 2025 – The World of Erasmus+ at Tor Vergata University

Erasmus+ testimonials, projects, music and international aperitif

This year, Tor Vergata University of Rome is once again thrilled to take part in Erasmus Days 2025!

From October 13 to 18, Europe will come alive with the colors of Erasmus+: six days dedicated to the energy, values, and opportunities of the Program, under the slogan of the ninth edition: “Live our values, inspire our future!”

This initiative, promoted by the Erasmus+ National Agencies with the patronage of the European Commission, involves students, professors, administrative and technical staff, and librarians from institutions all across Europe

Date and Time

The event at Tor Vergata is on Thursday, October 16, at 5:00 PM, in the Aula TL Lecture Hall of the School of Economics.

A moment of sharing

During the event, students, professors, and staff from the University will share their Erasmus+ experiences, turning the day into a space for connection, dialogue, and inspiration.

Meeting with the 2025/2026 Erasmus+ students 

It will also be an opportunity to:

  • welcome incoming Erasmus+ students,
    • give a warm send-off to our outgoing students as they prepare to embark on their experience abroad

All Erasmus+ participants, both incoming and outgoing, will receive a special kit, designed as a travel companion and keepsake from Tor Vergata University of Rome.

A Musical finale

The day will close with music, conversation, and an aperitif, to celebrate the Erasmus+ spirit together.

Register Now

To participate, please register here: https://forms.office.com/e/A5bjPBX4z4

https://web.uniroma2.it/en/contenuto/erasmusdays-the-world-of-erasmus-at-tor-vergata-university

 

Digital Signal Processing – 6 CFU (optC1.b/optC2.b) A.Y. 2025-26

Digital Signal Processing – 6 CFU (optC1.b/optC2.b) A.Y. 2025-26

“The Digital Signal Processing teaching modules offer students the opportunity to become designer 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 that select the 6-credit option, might be interested to add a +3 credits of formative activities, with focus on pre-assigned additional topics of the DSP realm.”

 

Prof. Marina Ruggieri

NEW STUDENTS A.Y. 2025-26 JOIN THE CHANNEL

NEW STUDENTS A.Y. 2025-26 JOIN THE CHANNEL

Mechatronics Engineering does not offer online courses.

Students who are behind on their visa application process are advised to contact the professors of their first year on the basis of their study plan.

Students are requested to join the 1st-year channel.

STUDENTS class A.Y. 2025-26 Mechatronics | MECHATRONICS | Microsoft Teams

This channel is managed by the Management Office of Mechatronics Engineering (Simona Ranieri)

Call for applications for a grant to cover housing costs incurred by out-of-town students for the year 2025

Call for applications for a grant to cover housing costs incurred by out-of-town students for the year 2025

At the University of Rome Tor Vergata, pursuant to Article 1, paragraphs 526 and 527 of Budget Law No. 178 of December 30, 2020, Article 6, paragraphs 1-bis and 1-ter of Legislative Decree No. 45 of April 7, 2025, converted into Law No. 79 of June 5, 2025, and MUR Decree No. 630 of September 10, 2025, a call for applications is being announced to identify non-resident students eligible to receive a contribution towards housing rental costs incurred during the year 2025. (…)

 

https://web.uniroma2.it/it/contenuto/bando-per-lassegnazione-di-un-contributo-per-le-spese-di-locazione-abitativa-sostenute-dagli-studenti-fuori-sede-per-lanno-2025

Digital Modeling of Energy Conversion 9 – Block A-B

Digital Modeling of Energy Conversion 9 – Block A-B

Good morning,

we have just started our course on “Digital Modeling of Energy Conversion” to be taught for 1st yr mechatronics engineering students within the tracks “electronics for digital transition” and “mechanics for digital transition”.

Please join the team on MS-teams named “MULONE-80300269-DIGITAL_MODELING_OF_ENERGY_CONVERSION”, where you can find the introductory slides to the course uploaded in the “File” section of the channel “Lezioni”.

MS TEAMS code: eqd19lf

Refer to us for any questions you should have. The next class is next Wednesday at 9:30 in room B16.

Rome, 22/09/2025

Best regards

Vincenzo Mulone and Pietro Mele

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
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.

International Webinar 2025: Discover Tor Vergata’s Bachelor’s and Master’s Degree Programs

webinar

8th & 14th of May 2025

IT: https://web.uniroma2.it/it/contenuto/webinar-internazionali-2025-luniversit-di-roma-tor-vergata-presenta-lofferta-formativa-triennale-e-magistrale-agli-studenti-internazionali

EN: https://web.uniroma2.it/en/contenuto/webinar-for-bachelors-degree-programs

Available sessions (CEST time):

  • Morning session: 9:30 AM
  • Afternoon session: 5:00 PM