The PhD Course in Industrial and Information Engineering at the University of Udine offers four intensive technical courses. Each Module lasts three days and is organised in six sessions of approximately three hours each. The sessions are organised as demonstration-sessions, computer-sessions, lab-sessions and case-study-sessions.

 

Each module has a multidisciplinary layout that covers topics of interest for electric, mechanical, information technology, management and electronic engineering. Also, each module is taught by academics with backgrounds in these disciplines. The objective is to offer a broad spectrum of topics taught from different perspectives, which should widen the scientific background of the participating fellows and promote the so called “lateral thinking”.

 

All PhD fellows shall attend the courses. First year PhD Fellows shall attend Module 1 and 3 while second year PhD Fellows shall attend Module 2 and 4. Third year PhD fellows shall attend the courses that they had not attended in previous years. PhD Fellows have to gain no less than 20 CFUs in three years. The present Training Courses do provide CFUs. Please use the webpage on the PhD Notebook to register the CFUs associated to your training and teaching activities, and ask your tutor for the number of CFUs to be associated to each activity.

 

While these Scientific Skills Training Courses are tutorial lectures intended to provide a broad idea of the research topics developed in our Department and in particular by the members of the PhD board, starting from year 2021 our PhD programme also offers more specific courses, whose goal is to convey a more technical knowledge that students may employ for the development of their PhD project

Scientific Skills Training Courses

Module 1

Numerical methods for engineering research

Coordinators: prof. Franco Blanchini & prof. Francesco Driussi

Dates: from Wednesday 3rd to Friday 5th April 2024

The objective of this module is to illustrate typical numerical techniques for the solution of a wide range of problems in the fields of electrical, electronic, informatics management and mechanical disciplines.

Wednesday

S1)  Numerical methods: a critical overview -9:00 – 10:30 / 11:00 – 12:30 -Prof. F. Blanchini (University of Udine)

S2)  The Monte Carlo method  -14:00 – 15:30 -Prof. P. Palestri (University of Modena)

Thursday

S3) Ab-initio modelling of technologically relevant materials for electrical and electronic engineering -9:00 – 10:30 – Dott. D. Lizzit (University of Udine)

S4)  Generation of pseudo-random numbers -11:00 – 12:30 -Prof. R. Rinaldo (University of Udine)

S5)  Ab-initio modelling of technologically relevant materials for electrical and electronic engineering – 14:00 – 15:30 -prof. F. Driussi (University of Udine)

Friday

S6) Design of experiments and data analysis – 14:00 – 15:30 / 16.00-17.30 – prof. M. Sortino (University of Udine)

Module 2

Numerical strategies for engineering research

Coordinators: prof. Daniele Casagrande, Prof. Loghi

Dates: from Wednesday 3rd to Friday 5th April 2024

Where: Sala Verde

The objective of this module is to illustrate software packages and numerical issues in modeling, validation, and simulation of physical systems and engineering problems in the fields of electrical, electronic, informatics management and mechanical disciplines.

Wednesday

S1)  Numerical methods for optimization – 9:00-12:30 -prof. D. Casagrande

S2) Data and information fusion -13:30-17:00 -prof. L .Snidaro

Thursday

S3) Personal digital reliability and everyday cybersecurity – 9:00-12:30 -prof. P. L. Montessoro

Friday

S4) Image/video acquisition and processing – 14:00-17:30 – prof. N. Martinel and M. Dunnhofer

Module 3

Laboratories for engineering research

Coordinators: Prof. Michele Midrio and Prof. Marco Sortino

Dates: from Monday 8th to Wednesday 10th April 2024

Where: Sala Gialla

The objective of this module is to offer technical background and practical sessions for the implementation of typical experimental work in the fields of electrical, electronic, informatics management and mechanical disciplines

Monday

S1) Advanced control of IPM motors -9.00-10.30 and 11.00-12.30 – Prof. R. Petrella (University of Udine)

S2) Additive Manufacturing, metrology, and reverse engineering – 13.30-15.00 and 15.30-17.30 at LAMA FVG -Ing. E. Vaglio (University of Udine)

Tuesday

S3) Design thinking and Design for X Methods -9.00-10.30 -Prof. B. Motyl (University of Udine)

S4) Electronic equipment for laboratory measurements in power electronics -11.00-12.30 -Prof. S. Saggini (University of Udine)

S5) Experimental identification of dynamic systems and manufacturing processes -13.30-15.00 and 15.30-17.30 -Prof. G. Totis (University of Udine)

Wednesday

S6) Measurement techniques for mechatronic systems – 9.00-10.30 and 11.00-12.30 – Prof. L. Scalera (University of Udine)

S7) TBD – 13.30-15.00 and 15.30-17.30, External expert

Module 4

Management engineering: theories and case studies

Coordinators: Prof. Marco Sartor and Prof. Stefano Filippi

Dates: from Monday 8th to Wednesday 10th April 2024

Where: Sala Verde

The objective of this module is to offer theory and case studies on the management of small to large private industrial and information-technology enterprises.

Monday

S1) Business Planning -09:00-12:00 –Matteo Podrecca (University of Bozen)

S2) Managing Digital Transformation – 14:00-17:00 – Margherita Molinaro (University of Bozen)

Tuesday

S3)  Corporate Sustainability – 09:00-12:00 – Nadia Preghenella (Hidra)

S4)  European Project Management – 14:00-17:00 – Elisabetta Ocello (University of Udine)

Wednesday

S5) Business organization: team management and leadership – 09:00-12:00 – Giovanna Culot (University of Udine)

S6) Researching and Publishing in Operations Management – 14:00-17:00 –  Marcos Dieste (University of Padova), 

PhD students can attend further optional more specialised training courses.

Here is the list of courses planned in 2024:

Title: “Non-destructive Damage Detection Techniques, Structural Health Monitoring and 3D Fracture Mechanics ”
Lecturer: Prof. Andrei Kotousov
8 hours, 2 ECTS
The course consists of 8 hours of lectures scheduled as follows:
Lecture 1: Monday 10th June – 2 hrs (14:30 – 16:30)  (Sala Gialla – DPIA – UniUD)
Lecture 2: Tuesday 11th June – 2 hrs (09:30 – 11:30) (Sala Gialla – DPIA – UniUD)
Lecture 3 + Lecture 4: Tuesday 11th June – 1 hr (14:30 – 15:30) + 1 hr (16:00-17:00  (Sala Gialla – DPIA – UniUD)
Lecture 4: Wednesday 12th June – 2 hrs (09:30 – 11:30) (Sala Gialla – DPIA – UniUD)
Where:  SALA GIALLA (DPIA)
Details of the course here

Title: “Python for Science and Engineering: data analysis and machine learning
Lecturer: Prof. Luca Di Gaspero
MODULE 1 – Basic to intermediate level (12 hours, 3 ECTS)
Wednesday, 28/02, from 10 a.m. to 1 p.m.
Thursday, 29/02, from 10 a.m. to 1 p.m.
Wednesday, 06/03, 10 a.m. to 1 p.m.
Thursday, 07/03, 10 a.m. to 1 p.m.
Module description:
This module introduces Python programming with a focus on applications in science and engineering. It covers Python’s basic programming constructs, data types, containers, input/output operations, and functional programming principles. The course aims to equip students with the skills to utilize Python effectively in scientific and engineering contexts.
MODULE 2 – Intermediate to advanced level (12 hours, 3 ECTS)
Wednesday, 13/03, 10 a.m. to 1 p.m.
Thursday, 14/03, 10 a.m. to 1 p.m.
Wednesday, 20/03, 10 a.m. to 1 p.m.
Thursday, 21/03, 10 a.m. to 1 p.m.
Module description:
This module is designed for students in science and engineering who wish to harness the power of Python for data analysis and machine learning. It covers essential data analysis techniques, an introduction to machine learning concepts, and the application of Python libraries in these domains.
Where:  SALA GIALLA (DPIA)

Title: “Vibration Energy Harvesting”,
Lecturers: Paolo Gardonio e Stefano Saggini
Duration: 4 hrs, (CFU: 1)
When: 17/06/2023

Title: “Advanced probabilistic methods for engineering”,
Lecturers: Pierpaolo Palestri e Giovanni Totis
Duration: 8 hrs (CFU: 2)
When: 22, 23, 19 January 2024, 01 February 2024

Title: “A Crash Course in Geometric Computer Vision”,
Lecturer: Andrea Fusiello
Duration: 16 hrs (CFU: 4)
When: 24/6 10:00-12-00
25/6 10:00-12-00 e 14:00-16:00
26/6 10:00-12-00 e 14:00-16:00
27/6 10:00-12-00 e 14:00-16:00
28/6 10:00-12-00
Where: Room: A1-48 (sala Bianca)

Title: “Introductory Quantum Mechanics for Engineers”,
Lecturer Giancarlo Panizzo
Duration: 12 hrs (CFU: 3)
When: from 10:30 to 12:30 on 7,8,9,14,15,16 May 2024

Title: “Elements of Information Theory with Applications to Source Coding”,
Lecturer: Roberto Rinaldo
Duration: 12 hrs (CFU: 3)
When: from 9/07/2023 to 11/07/2023

Title: “Advanced Statistics”,
Lecturers: Michela Battauz, Valentina Mameli
Duration: 20 hrs (CFU: 5)
When and where: 09/01 13:30-15:30 A027; 11/01 13:30-15:30 A021; 16/01 13:30-15:30 A027; 17/01 13:30-15:30 A027; 18/01 13:30-15:30 A021;
22/01 14:00-16:00 A027; 23/01 14:00-16:00 A027;  29/01 9:00-11:00  A023; 30/01 9:00-11:00  A023; 31/01 9:00-11:00  A023

Title: “Advanced analog design”,
Lecturer: Stefano Saggini
Duration: 6 hrs (CFU: 1.5)
When: 18/06/2023

Title: “Lyapunov methods in robustness”,
Lecturer: Stefano Saggini
Duration: 12 hrs (CFU: 3)
When: Monday 15/04 (6 hrs), Monday 22/04 (6 hrs)