The PhD program in Industrial and Information Engineering of University of Perugia offers a number of training modules for the students. These PhD modules are offered locally or can be provided by other Universities (see table below). Each PhD student has to select 3 modules (5 CF) to be carried out during the first and second year of the PhD course. The PhD modules that are active during Academic Year 2022/2023 are reported in the table below.
In addition to these third-level modules specific for the PhD degree, the PhD students must choose 2 courses among those offered at Master level, within the University of Perugia. For additional details, please see the Doctoral Regulation [pdf].
PhD Modules for Academic Year 2022/2023 offered by the Department of Engineering of University of Perugia
| N. | Title | Teachers | Contact | Period | Hours | CFU |
|---|---|---|---|---|---|---|
| 1 | Human body modelling for ergonomics and design: theory and handS-on practice | Giulia Pascoletti | This email address is being protected from spambots. You need JavaScript enabled to view it. | May-Jun 2023 | 20 | 5 |
| 2 | Patient-specific bone implants design: theory and hands-on practice | Elisabetta Zanetti | This email address is being protected from spambots. You need JavaScript enabled to view it. | Jan-Mar 2023 | 20 | 5 |
| 3 | Hydrogen: a sector-coupling enabler | Arianna Baldinelli | This email address is being protected from spambots. You need JavaScript enabled to view it. | Mar-May 2023 | 20 | 5 |
| 4 | Turbulent multiphase flows | Michele Battistoni, Daniel J. Duke | This email address is being protected from spambots. You need JavaScript enabled to view it. | Apr-May 2023 | 20 | 5 |
| 5 | Discrete Event Simulation to Model Industrial Systems | Lorenzo Tiacci | This email address is being protected from spambots. You need JavaScript enabled to view it. | Dec 2022-Feb 2023 | 20 | 5 |
| 6 | Electronic noise: theory and practice | Federico Alimenti | This email address is being protected from spambots. You need JavaScript enabled to view it. | Jun-Sep 2023 | 20 | 5 |
| 7 | Analysis of mechanisms and mechanical systems | Cristina Valigi | This email address is being protected from spambots. You need JavaScript enabled to view it. | Nov 2022-Mar 2023 | 20 | 5 |
| 8 | Visual Analytics – Hands on | Alessandra Tappini | This email address is being protected from spambots. You need JavaScript enabled to view it. | Jan-Feb 2023 | 20 | 5 |
| 9 | Data mining techniques for machines performance monitoring and early fault diagnosis | Francesco Castellani | This email address is being protected from spambots. You need JavaScript enabled to view it. | Jan-Mar 2023 | 20 | 5 |
| 10 | Deep learning and deep reinforcement learning | Gabriele Costante | This email address is being protected from spambots. You need JavaScript enabled to view it. | Jan-Mar 2023 | 20 | 5 |
| 11 | Measurement systems for localization | Alessio De Angelis, Francesco Santoni | This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it. | Dec 2022-Feb 2023 | 20 | 5 |
| 12 | Finite element analysis for structural verification. From macro to micro structures | Giulia Morettini, Massimiliano Palmieri | This email address is being protected from spambots. You need JavaScript enabled to view it. | Apr-May 2023 | 20 | 5 |
| 13 | CFD Analysis of Electric Motors and Batteries for e-mobility | Jacopo Zembi | This email address is being protected from spambots. You need JavaScript enabled to view it. | May-Jul 2023 | 20 | 5 |
| 14 | Energy Harvesting for IoT | Valentina Palazzi | This email address is being protected from spambots. You need JavaScript enabled to view it. | Feb-Apr 2023 | 20 | 5 |
| 15 | Techniques for 3D printing and measurement | Roberto Marsili | This email address is being protected from spambots. You need JavaScript enabled to view it. | Mar-Apr 2023 | 20 | 5 |
PhD modules offered by other Universities
The students of PhD Course in Industrial and Information Engineering of University of Perugia can also select PhD modules offered by other Universities. The students can attend the modules and take the exam in other Universities, according to the rules set in each module. Our PhD Course has set up a partnership with a number of other universities, whose PhD modules are published and updated at these following links:
- Polytechnic University of Marche: https://www.ingegneria.univpm.it/content/offerta-didattica-della-scuola-di-dottorato-aa-2122
- University of Siena: https://phdies.diism.unisi.it/corsi/corsi.php?ciclo=36
- Virtual School of Italian Association of Management Engineering (AiIG): https://www.ingegneriagestionale.it/didattica/dottorati-di-ricerca/
- University of Trento: https://www.unitn.it/drmmse/23/teaching-activities
- Doctoral Virtual School of the “Italian Association of Fluid Machines and System for Energy and Environment (AIMSEA)”: http://www.aimsea.it/index.php/alta-formazione/scuola-virtuale-di-dottorato.html
- Doctoral Virtual School “Industrial Systems Engineering”: http://www.docenti-impianti-industriali.it/section.php?id=66
List of modules from previous PhD cycles
- a.a. 2021-2022
- a.a. 2020-2021 active for XXXVI cycle and selectable also for XXXV and XXXIV ones (updated on 06.05.2021)
- a.a. 2019-2020 active for XXXV cycle and selectable also for XXXIV and XXXIII ones
- a.a. 2018-2019
- a.a. 2017-2018
- a.a. 2016-2017
- a.a. 2015-2016
- a.a. 2014-2015
- a.a. 2013-2014