CODE | 90532 |
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ACADEMIC YEAR | 2021/2022 |
CREDITS |
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SCIENTIFIC DISCIPLINARY SECTOR | INF/01 |
LANGUAGE | English |
TEACHING LOCATION |
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SEMESTER | 2° Semester |
TEACHING MATERIALS | AULAWEB |
The course intends to provide methodological tools for building software systems based on data analytics
Learning the fundamentals of architecting, designing, and validating massively scalable, highly available, large-scale software systems, with special emphasis on challenges posed by data intensive applications and Internet of Things.
After the completion of the course, the students will:
Basic knowledge of
The main concepts will be presented by lessons. Hands-on activities will help the students to gain an insight on the applicative concerns.
It will be possible to participate in both lessons and interactive activities from remote, on the educational platform of our University.
Specific features and issues of the development of the software systems based on data analytics
Visual modelling using UML for supporting the development of software systems based on analytics
Visual modelling of the business processes using UML
Requirement elicitation and specification of the requirements of software systems based on analytics
Agile and Model-driven approaches for the development of software systems based on data analytics
Office hours: Appointment by email
GIANNA REGGIO (President)
MAURIZIO LEOTTA
MAURA CERIOLI (President Substitute)
FILIPPO RICCA (President Substitute)
All class schedules are posted on the EasyAcademy portal.
Application of the visual modelling to the development of a software system based on data analytics (project)
Oral presentation on a method for the development of a software system based on data analytics
Date | Time | Location | Type | Notes |
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20/06/2022 | 09:00 | GENOVA | Esame su appuntamento | |
22/07/2022 | 09:00 | GENOVA | Esame su appuntamento | |
12/09/2022 | 09:00 | GENOVA | Esame su appuntamento | |
16/09/2022 | 09:00 | GENOVA | Esame su appuntamento | |
23/01/2023 | 09:00 | GENOVA | Esame su appuntamento | |
10/02/2023 | 09:00 | GENOVA | Esame su appuntamento |