Please find below a selection of courses from which students, in agreement with their supervisor, may choose. These are to be considered as suggestions and are by no means exhaustive.
Courses organised by the PhD programme in Industrial Engineering are highly recommended. Students are encouraged to discuss and, if necessary, request the activation of other courses they consider valuable.
Doctoral courses in Industrial Engineering
Year 2025-26
English for Research Publication and Presentation Purposes (30 hours)
for 1st year students (41st cycle)
from late January to April 2026 (10 weeks, 3 hours per week)
English for Research Publication and Presentation Purposes C1+ (30 hours)
for 2nd year students (40th cycle)
from March to May 2026 (10 weeks, 3 hours per week)
Introduction to uncertainty quantification and stochastic sensitivity analysis (12 hours)
Prof. Alessandro Mariotti
January-February 2026
Course programme: Uncertainty_Quantification_Mariotti_2024.pdf
Essential AI Skills for PhD Students: Methods, Models, and Practice
Ing. Salvatore Cancemi
from March, 20 hours
Introduction to Python
To be decided September-October
2027
Introduction to Statistics (Dr Barsanti) 20 +20 hours: January-March 2027
Course programme:
- part 1 statistics1.JPG
- part 2 statistics2.JPG
Seminars 2026
January-February
- How to give a presentation (Prof. Massimo Guiggiani)
- Tips for a good lesson (Eng. Marco Lagnoni)
- Useful research tools: managing a bibliography in Zotero (Prof. Lorenza Mattei)
Year 2023-24
- English for Research Publication and Presentation Purposes C1+
Prof. Joanne Spataro
from 5 October to 7 December 2023, Tuesdays 9.30am-12.30pm - CLASSROOM 1 Aerospace Section (+online)
for 2nd year students (38th cycle)
- English for Research Publication and Presentation Purposes
Prof. Joanne Spataro
online: https://portal.cli.unipi.it/corsi-inglese-erp
in person: 14 March to 4 April 2023, Thursdays 9.30am-12.30pm - Guerrini Classroom
for 1st year students (39th cycle)
- Introduction to uncertainty quantification and stochastic sensitivity analysis (12 hours)
Ing. Alessandro Mariotti
16, 18, 23, 26 January, 10:00 a.m. - 1:00 p.m. DICI1 Classroom + Teams
Course programme: Uncertainty_Quantification_Mariotti_2024.pdf
- Python for Industrial Engineering: introduction and engineering applications (18 hours)
Ing. Francesco Galleni
16, 18, 23, 26 January, 10:00 a.m. - 1:00 p.m. Classroom DICI1 + Teams
Course programme: Programme_Python_Industrial_Engineering_Doctorate_Galleni.pdf
- Other courses to be confirmed:
- Public Speaking (1-2 days): 1-2 days in June 2024
- Introduction to Statistics (Dr Barsanti) 20 +20 hours: January-March 2025
- Course programme: part 1 statistics1.JPG part 2 statistics2.JPG
English courses are repeated every year, while the others are held every two years.
Other PhD programmes and cross-disciplinary programmes offered by the University of Pisa
- Doctorate in Civil and Environmental Engineering, jointly with the University of Florence
Numerous courses (Solid Mechanics, Fundamentals of Fluid Mechanics, etc.) also available online https://www.indicee.unifi.it/vp-109-training-courses.html#
Contact the Secretariat
- PhD in Computer Science
https://dottorato.di.unipi.it/ph-d-courses-a-y-2025-2026/
- PhD in Information Engineering
https://phd.dii.unipi.it/phd-course-news/item/7384-offerta-formativa-a-a-2025-2026.html
- CROSS-CURRICULAR EDUCATIONAL ACTIVITIES FOR DOCTORAL STUDENTS AT THE UNIVERSITY OF PISA
Visit https://dottorato.unipi.it/index.php/it/dottorandi/item/841.html for numerous courses on soft skills, research project writing, open science, etc.
Other courses
- SMART ENGINEERING TOOLS FOR INDUSTRY 4.0 (Prof. Frosolini LM Mechanical Engineering)
You can find the programme at the link: https://esami.unipi.it/programma.php?c=59786&aa=2023&docente=FROSOLINI&insegnamento=&sd=0
- Courses offered by CISM (INTERNATIONAL CENTRE FOR MECHANICAL SCIENCES)
https://www.cism.it/en/: Every year, it offers numerous high-level courses, condensed into a week, which can also be taken online.
- National Research Doctorate in Artificial Intelligence for Society
https://phd-ai-society.di.unipi.it/training/
- You can find many well-organised courses available online, such as those organised by MIT, Stanford, etc.: