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.
LEGAL ISSUES FOR AUTOMOTIVE ENGINEERS
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
Power electronics converters for automotive applications: trends and challenges
Program:
Program: Module 1 (4h) Multi-level converters, an automotive prospective for high speed drive applications Module 2 (4h) High performance DC/DC converters for automotive applications Module 3 (4h) Potential of Active thermal control for reliability improvement of automotive drives.
Exam:
Not yet defined
CFD: 5
Data Analytics
Program:
The aim of the course is to
introduce students to two
important elements of data
engineering technology that
makes it possible to extract
valuable knowledge from “Big
Data”, namely distributed
data processing using the
MapReduce framework, and
data analytics on large
graphs. In each case, the
course will first introduce
fundamental theoretical and
architectural concepts, and
then present technology for
using MapReduce and
querying large graphs,
respectively. For MapReduce,
we present examples of
algorithms that can be
successfully parallelised and
thus are able to take
advantage of distributed data
architectures, and we will
suggest practical exercises
using the Spark and Hadoop
technology stack. Regarding
graph analytics, we focus on
community detection
algorithms as an example,
and we will use the Neo4J
graph DBMS along with the
Graph Data Science library for
practical exercises.
Exam:
Not yet defined
CFD: 5
The basic principles of project management
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
Applied spectroscopic methods and Working principles of organic optoelectronic devices
Program:
The course aims at
introducing electron and
optical spectroscopies for the
characterization of the
chemical and physical
properties of materials.
Optical and electron
spectroscopies are widely
used analytical tools, even at
industrial level. The basics of
spectroscopic characterization
tools will be given, together
with examples of applications.
During the course a section
aims at providing the
fundamental conceptual
elements at the basis of the
working of electronic and
opto-electronic organic
devices together with the
context of exploitation of this
technology from the more
consolidated applications
already in the market to the
most pioneering approaches.
Exam:
Not yet defined
CFD: 3
Semiclassical and quantum mechanical foundations of modern nanoscale FET device operation
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
Modelling, Identification and Control of Robot
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
Deep Learning Framework Implementation
Program:
The course will show how the
operations that we normally
delegate to a deep learning
framework are implemented,
starting from the three-year
experience of developing the
EDDL library, during the
DeepHealth project.
Exam:
Not yet defined
CFD: 5
The “Wide” Advantage in Power Electronics
Lecturer: Nicolò Zagni
Schedule:
Feb/Mar 2024
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