CODE  90530 

ACADEMIC YEAR  2022/2023 
CREDITS 

SCIENTIFIC DISCIPLINARY SECTOR  INF/01 
LANGUAGE  English 
TEACHING LOCATION 

SEMESTER  2° Semester 
TEACHING MATERIALS  AULAWEB 
Learning algorithms and techniques for large scale graph analytics, including centrality measures, connected components, graph clustering, graph properties for random, smallworld, and scale free graphs, graph metrics for robustness and resiliency, and graph algorithms for reference problems.
At the end of the course, diligent students who have worked as instructed will have:
To be successful in this course, students should have basic knowledge concerning:
Lectures, practicals, and individual study.
Office hours: By appointement at the DIBRIS Department, room 231, 2nd floor, Via Dodecaneso 25, Genova. Online on Teams in case of distance learning. Email: marina.ribaudo@unige.it
MARINA RIBAUDO (President)
MATTEO DELL'AMICO
GIOVANNA GUERRINI (Substitute)
All class schedules are posted on the EasyAcademy portal.
Oral examination with discussion of the practicals assigned during the course.
Individual interview.