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  1. Courses

000134R6 - IN-DEPTH ANALYSIS OF BIG DATA FOR ARTIFICIAL INTELLIGENCE

courses
ID:
000134R6
Duration (hours):
1
CFU:
6
SSD:
Informatica
Located in:
PESCARA
Url:
Course Details:
ECONOMICS AND BUSINESS ANALYTICS/CORSO GENERICO Year: 1
Year:
2026
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2026?co...
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Overview

Date/time interval

Secondo Semestre (11/02/2027 - 18/05/2027)

Syllabus

Course Objectives


The learning objectives can be associated with the following expected learning outcomes:


Knowledge and understanding

The course aims to provide advanced methodological and application knowledge related to the main tools and methods for collecting, managing and analyzing potentially large datasets with applications in artificial intelligence.

Applying knowledge and understanding

Upon completion of the course, the student will be able to effectively use advanced methods and tools for the collection, management and analysis of large data sets for applications in artificial intelligence.



Course Prerequisites




The student should possess basic knowledge related to big data and artificial intelligence. Knowledge of a programming language is recommended.



Teaching Methods


Project development or in-depth study to be done individually or in small groups.



Assessment Methods

Knowledge and understanding


Verification of learning outcomes will be by discussion of the project or in-depth study. The work must be submitted at least two weeks before the examination date.



The score of the exam is assigned by a mark expressed in 30ths.




Applying knowledge and understanding


During the development of the project (or analysis), students' ability to apply their knowledge of big data techniques and tools for use in artificial intelligence is verified.


Students with disabilities, specific learning disorders (SLD), or other special educational needs (SEN) are entitled to individualized examination arrangements, in accordance with applicable regulations and the provisions set out in the University's Service Charter (https://www.unich.it/sites/default/files/2024-02/carta_dei_servizi_0.pdf), subject to prior agreement with the course instructor.
To request reasonable accommodations and support measures, students must register with the CON_TE_STO Service by following the procedure described in the University Service Charter.
Students are strongly encouraged to contact the course instructor during the teaching period, or in any case well in advance of the examination date, in order to discuss the examination format and the accommodations that can be provided.
For guidance and information on the various support services offered by the University, students may contact the Department's Academic Advisor for Inclusion and Accessibility:
Prof. Domenico Raucci Email: domenico.raucci@unich.it

Texts


Bibliographical material provided by the teacher.




Contents


Development of a project or in-depth study of an advanced topic related to big data with applications in artificial intelligence.



Course Language

Italian

More information


Email fabio.fioravanti@unich.it



Receiving students by appointment.



Degrees

Degrees

ECONOMICS AND BUSINESS ANALYTICS 
Master’s Degree
2 years
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People

People

FIORAVANTI Fabio
Gruppo 01/INFO-01 - INFORMATICA
Settore INFO-01/A - Informatica
AREA MIN. 01 - Scienze matematiche e informatiche
Docenti di ruolo di Ia fascia
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