Courses of Academic Year 2023/2024
A preliminar list of the didactic offer of the ICT doctorate follows. The list will be completed and updated during the year.Seminars on Bibliometrics and research Evaluation will be offered by UNIMORE for all the doctorate courses.
Explainable AI in the Neural Network Domain
Program:
Exam:
Not yet defined
CFD: 4
Privacy-preserving computation methods
Program:
Exam:
Not yet defined
CFD: 3
Digital Twin in Smart Cities
Lecturer: Laura Po
Program:
Exam:
Not yet defined
CFD: 3
Modelling, Identification and Control of Robots
Lecturer: Luigi Biagiotti, Roberto Zanasi, Laura Giarrè
Program:
The course introduces the
theory of optimal predictive
control (Model Predictive
Control), starting from the
formulation of the optimal
control problem with
quadratic cost for linear
systems (LQ control). The
main stability and persistent
feasibility results will be
illustrated using numerical
examples and applications in
the automotive and Matlab
toolboxes such as MPT and
MPC toolbox.
Exam:
Not yet defined
CFD: 3
The “Wide” Advantage in Power Electronics
Lecturer: Nicolò Zagni
Schedule:
February 13-15-20-22 2024
09.00 AM -12.00 PM
Meeting Room MO27 Building - 1st Floor
Program:
The course introduces students to the performance improvement that power electronic circuits can achieve by taking advantage of the “wide-band-gap” semiconductor technologies.
Gallium-Nitride and Silicon-Carbide based devices recently entered the market but they are expected to replace in a near future the conventional Silicon-based devices that represent nowadays the mainstream technology.
The course will cover the following topics:
- Power electronics and its applications/markets, wide-band gap semiconductors, figures of merit, basic power switching converters
- SiC and GaN devices: operating principles, power transistors structures
- Stability and Reliability of GaN HEMTs, trapping effects, trapping mechanisms, measurement techniques
- Advanced research topics: hole redistribution model, breakdown mechanisms, partial Ron recovery, vertical GaN devices, ultra wide-band gap devices
Exam:
Written Test
CFD: 3
Graph Based Knowledge Representation
Lecturer: Federica Rollo
Schedule:
21/05/2024 - 24/05/2024
Program:
Exam:
Not yet defined
CFD: 3
IP4Engineers
Lecturer: Isabella Ferrari
Schedule:
May 2024
Program:
This course examines the interaction between law and engineering, in order to provide students with an interdisciplinary perspective on nowadays global challenges. The course will deeply touch on the so-called 'Law by design' approach, comparing efficient solutions set by governments, parliaments and technical players on the domestic and the international stage.
Exam:
Not yet defined
CFD: 3
The basic principles of project management
Lecturer: Prof. Massimo Bertolini
Schedule:
7/05 - dalle 16 alle 18
9/05 - dalle 16 alle 18
14/05 - dalle 16 alle 18
16/05 - dalle 16 alle 18
21/05 - dalle 16 alle 18
23/05 - dalle 16 alle 18
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Per "l'iscrizione" al corso, ho creato il Team The basic principles of project management - Ph.D. Class | Generale | Microsoft Teams
Basta che gli studenti si iscrivano / chiedano l'iscrizione
Program:
The course aims at providing
the theoretical and practical
fundamental knowledge of
project management as a
required tool for the design
and the development of a
project. The topics will be
covered within the framework
of PMBOK (Project
Management Body of
Knowledge) of PMI (Project
Management Institute).
Exam:
Not yet defined
CFD: 3
AI and ML for financial data analysis
Lecturer: Petter Kolm (New York University)
Schedule:
June 2024
Program:
Exam:
Not yet defined
CFD: 0
Introduction to the Monte Carlo Methods for Engineering Applications
Lecturer: Pierpaolo Palestri
Schedule:
June 2024
Program:
Exam:
Not yet defined
CFD: 3
Semiclassical and quantum mechanical foundations of modern nanoscale FET device operation
Lecturer: Luca Selmi
Schedule:
June/July 2024
mec./gio./ven ore 9.30-11.30 a partire dal 19/06/2024 e fino al 05/07/2024 incluso
Sala riunioni MO26 primo piano
Program:
Based on a succinct and
highly focused review of a few
key concepts of quantum
mechanics the course will
introduce the foundations of
the semi-classical approach to
nanoscale electron device
modeling. Selected elements
of quantum mechanics are
merged with classical
electrostatics and transport
theory to yield a state of the
art description of advanced
nanoscale FET. Conventional,
strained and alternative
channel materials, quasiballistic
transport in a 2D or
1D electron gas, FinFET,
double gate FDSOI, nanowire,
nanosheet and nanofork gate
all around device
architectures will be
addressed.
Exam:
Not yet defined
CFD: 3
Enhance your Soft Skills: ICT Summer School for Personal and Professional Development
Schedule:
26-30 Agosto 2024
Program:
The partecipation to the school is mandatory for the students of the first year
Exam:
Not yet defined
CFD: 0
Spatial Data Visualization
Lecturer: Ana Cristina da Costa Oliveira Alves (Polytechnic Institute of Coimbra)
Schedule:
7-11 October 2024
Program:
Exam:
Not yet defined
CFD: 3