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 9th to Friday 11th April 2025

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.

Tentative program (to be confirmed):

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 9th to Friday 11th April 2025

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.

Tentative program (to be confirmed):

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 14th to Wednesday 16th April 2025

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

 

Tentative program (to be confirmed):

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 14th to Wednesday 16th April 2025

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.

 

Tentative program (to be confirmed):

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 2025:


Title: “Advanced analog design”,
Lecturer: Stefano Saggini
Duration: 6 hrs (CFU: 1.5)
Dates: 14/07/2025 and 18/07/2025
Module description: The course will cover the advanced design of analog systems such as operational amplifiers, current mirrors, sample and hold circuits, and fully differential amplifiers. In the context of amplifiers, circuit configurations of output stages with wide dynamic range and low impedance will be studied, as well as systems with offset cancellation. Finally, the design of MOS amplifiers using the gm/ID methodology will be introduced.
Background: Fundamentals of analog design in CMOS circuits.

Title: “Python: basic programming 
Lecturer: Prof. Luca Di Gaspero
12 hours, 3 ECTS
Dates: 04/03/2025 (4h), 11/03/2025 (4h), 18/03/2025 (4h)
Module description: This module introduces Python programming, focusing on its 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.
Background: This course is designed for PhD students with a fundamental understanding of problem-solving and basic programming concepts. While prior experience in Python is not mandatory, familiarity with any programming language (e.g., C, Java, or MATLAB) will be helpful. Students are expected to know basic concepts such as variables, loops, conditionals, and functions. Although knowledge of numerical-oriented languages like MATLAB or R could be beneficial, it is not a prerequisite. The course will build from these foundations and introduce Python-specific tools and libraries for scientific computing.
Where:  SALA GIALLA (DPIA)

Title: “Machine Learning with Python
Lecturer: Prof. Luca Di Gaspero
12 hours, 3 ECTS
Dates: 25/03/2025 (4h), 01/04/2025 (4h), 08/04/2025 (4h)
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.
Background: This advanced module builds on the knowledge gained in the first module or assumes a solid understanding of Python programming. Students should already be comfortable with Python’s syntax, and a working knowledge of data structures, functions, and object-oriented programming in Python is essential. Prior exposure to data analysis techniques and libraries like Matplotlib and Scikit-learn would be beneficial, though critical concepts will be reviewed.
Where:  SALA GIALLA (DPIA)

Title: “Random vibrations and spectral analysis: theory and experiments,
Lecturers: Paolo Gardonio e Roberto Rinaldo
Duration: 12, CFU: 3,
When: 24-25/09/2025
Course Description
• Part 1: theory of vibration of mechanical systems and structures
– Dynamic response of SISO and MIMO lumped parameter mechanical systems
– Dynamic response of distributed structures
– Generalised coordinates: natural frequencies and natural modes
– Transfer Function and Frequency Response Function
• Part 2: elements of signal processing for stochastic vibrations
– Summary of Fourier theory and random processes
– Spectral analysis and Spectral Density Estimation
– FRF estimation numerical methods
– Discrete time algorithms with MatLab/Octave
• Part 3: laboratory for vibration measurements
– Setup of a rig for mechanical FRF measurements
– Signal acquisition and digital processing
– Estimate of Power Spectral Density functions
– Estimate of FRF from measured data
Background: Fundamentals of dynamics of mechanical systems, basic knowledge of probability theory and Fourier analysis, basic knowledge of MatLab/Octave programming

Title: “Metal Plasticity and Large Deformations: Theory and Numerical Approaches”,
Lecturers: Manish Kumar
Duration: 10 hrs (CFU: 2.5)
When: 03/03/2025 – 07/03/2025
Course description:
• Theory of post elastic limit analysis for metals: introduction of the yielding criterion, hardening behaviours, hardening laws (linear, multi-linear and non-linear), and calculation for the plastic behaviour.
• Introduction of large deformations in the finite element simulations with the inclusion of metal plasticity.
• Hands-on MATLAB code and commercial software to perform finite element simulations for large deformation and plasticity.
Background: Basic knowledge of finite element theory and MATLAB programming.

Title: “Introductory Quantum Mechanics for Engineers”,
Lecturer Giancarlo Panizzo
Duration: 12 hrs (CFU: 3)
Dates:
Monday 3/02 and 10/02 time: 11:00-13:00
Tuesday 4/02 and 11/02 time: 11:00-13:00
Thursday 6/02 and 13/02 time: 11:00-13:00
Course description: Quantum mechanics drove a technological revolution in the past century, its applications being now widespread in real life devices. This lecture introduces to the quantum principles which govern physics behaviors at nanoscales, specifically targeting master degree Engineering students. How does a quantum particle behave in a pipe? What is the quantum analogue of a classical spring? How does this relate to energy being quantized? The answers to these questions will help deepening the understanding of theprinciples which hide under the operation of diodes, transistors, LEDs, photovoltaic cells and modern physics detectors.
Background: Basic physics and python programming knowledge.

Title: “Lyapunov methods in robustness”,
Lecturer:Franco Blanchini
Duration: 12 hrs (CFU: 3)
When: 03/03/2025 e 10/03/2025
Course description: Any model of a real system presents inaccuracies. This is the reason why robustness with respect to system variations is perhaps one of the most important aspects in the analysis and control of dynamical systems. In simple words, a system which has to guarantee certain properties, is said robust if satisfies the requirements not only for its nominal values but also in the presence of perturbations.
In this course we present an overview of a specific approach to system robustness and precisely that based on the Lyapunov theory. Although this approach is a classical one, it is still of great interest in view of the powerful tools it considers. We first introduce some generic concepts related to the theory of Lyapunov Functions and Control Lyapunov Functions. Then we investigate more specific topics such that the stability and stabilization via quadratic Lyapunov functions. We subsequently discuss some classes of non–quadratic functions such as the polyhedral ones. We finally briefly present some successful applications of the theory.
Background: System Theory and Control theory,

Title: “Beyond the Drift-Diffusion model: Boltzmann Transport Equation (BTE) for Electron Devices Modelling”,
Lecturer: David Esseni
Duration: 12 hrs (CFU: 3)
When: from 02/09/2025 to 05/09/2025
Course descripton: This course opens by recalling the physical picture behind the widely used Drift Diffusion (DD) model for electronic transport in electron devices, and then introduces the Boltzmann Transport Equation (BTE). The larger and deeper information conveyed by the BTE compared to the DD framework is discussed and several applications of the BTE are introduced. Then the Fermi’s rule for the calculation of scattering rates is explained and applied to a few relevant scattering mechanisms. The course will also address mobility calculations, provide hints to numerical methods to solve the BTE, as well as to the derivation of the Drift Diffusion model from the BTE.
Background: Drift diffusion model and basic knowledge of the physics of electron devices.