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