Courses of Academic Year 2022/2023
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.
The “Wide” Advantage in Power Electronics
Program:
Aim of this course is to
introduce students to the
performance improvement
that power electronics circuits
can achieve by taking
advantage of the “wide-bandgap”
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
(total of 12hours/3CFU) 1)
Role of efficiency in power
conversion circuits 2)
Operating concept of
switching converters 3)
Semiconductor switches and
their figure of merits 4)
Example of applications
comparing the performances
of Silicon, Gallium-Nitride and
Silicon-Carbide based
semiconductor devices
Exam:
Not yet defined
CFD: 3
AI & Law
Program:
This course examines the interaction between law and artificial intelligence, in order to provide engineering students with an interdisciplinary perspective on nowadays legal challenges. Starting from the legal vacuum still in place on the global stage, the course will introduce the 2021 EU proposal for a legal framework for AI, discussing pro and cons of the proposal, possible solutions to mismatches and issues due to the miscommunication between engineering and legal experts.
Exam:
Not yet defined
CFD: 4
Academic English Workshop I
Program:
The workshop aims at giving an overview of the linguistic conventions adhered to by the English-speaking academic community, focussing on aspects such as the structure of research articles, the writing of abstracts and the preparation of conference presentations. More specifically, the workshop will try to raise the participants' awareness of the rhetorical and discourse patterns characteristic of academic English, introducing them to the skills required to produce texts which are accurate both from a grammatical and a stylistic point of view. Ample opportunities will be given for practice, both in the analysis and the production of texts. In particular, special attention will be given to argumentative writing techniques and to special genres such as the abstract and conference presentations.
Exam:
Not yet defined
CFD: 5
Data Profiling
Program:
Data profiling is the process
of examining the data
available in an existing data
source and collecting statistics
and information about that
data. It encompasses a vast
array of methods to examine
data sets and produce
metadata. Among the simpler
results are statistics, such as
the number of null values and
distinct values in a column, its
data type, or the most
frequent patterns of its data
values. Metadata that are
more difficult to compute
involve multiple columns,
such as inclusion
dependencies or functional
dependencies. Data profiling
is relevant as a preparatory
step to many use cases, such
as query optimization, data
mining, data integration, and
data cleansing. Topics of the
lecture include the deficient
detection of unique column
combinations, functional
dependencies, inclusion
dependencies, order
dependencies, and denial
constraints, and the semantic
interpretation of profiling
results.
Exam:
Not yet defined
CFD: 5
Large Scale Geospatial Data Management
Program:
The course will describe two
main types of geospatial
datasets:geospatial Features
(entities with geometric
properties that define their
location and shape on
geographic space) and
geospatial coverages
(collections of properties that
change over space and
possibly also over time). New
solutions in the scope of Big
Data technologies that enable
the management of geospatial
data at large scale will also be
presented.
Exam:
Not yet defined
CFD: 5