Big Data in Historical Research
A.Y. 2023/2024
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Fabio Venuda
The series of lectures aims to introduce the techniques of retrieval, processing, validation and analysis of Big Data, in order to allow the detection, on a large scale, of existing associations between people, facts, places, dates and events and the representation of this network of relationships on a spatial level also offering the opportunity to outline new research paths.
Undefined
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)
Reception:
On appointment
room 7008
Reception:
On appointment. The meeting will be online by first contacting the professor by email.
Online. In case of a meeting in person, Department of Computer Science, via Celoria 18 Milano, Room 7012 (7 floor)
Reception:
By appointment to be arranged by email
Room 7015, Dipartimento di Informatica "Giovanni degli Antoni", Via Celoria 18 - 20133 Milano
Reception:
Every Wednesday from 3pm, at the university and on the Teams channel (e3eetcb).
Via Festa del Perdono, 7 - Cortile della legnaia - Dept. of History, sector C, second floor; Microsoft Teams classroom, code e3eetcb
Reception:
The last Office hours before the Christmas break will be held on Tuesday 17 December from 3.00 pm. Office hours for students will be held on Wednesday 03:00 p.m. in the studio, and on MS Teams if necessary
Via Festa del Perdono, 7 - Cortile della legnaia - dept. of History, sector C, second floor; Microsoft Teams classroom, code e3eetcb