DATA VISUALIZATION

DATA VISUALIZATION

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iten
Codice
90529
ANNO ACCADEMICO
2019/2020
CFU
6 cfu al 2° anno di 10852 COMPUTER SCIENCE (LM-18) GENOVA

6 CFU al 1° anno di 8733 INGEGNERIA INFORMATICA (LM-32) GENOVA

SETTORE SCIENTIFICO DISCIPLINARE
INF/01
SEDE
GENOVA (COMPUTER SCIENCE )
periodo
1° Semestre
materiale didattico

PRESENTAZIONE

This course is given in English. Please refer to the corresponding English section.

OBIETTIVI E CONTENUTI

OBIETTIVI FORMATIVI

Students will be provided with a sound grounding on the principles, methods, and techniques for effective visual analysis of data. Students will explore many aspects of visualization, including techniques for both spatial (e.g., gridded data from simulations and scanning devices) and non-spatial data (e.g., graphs, text, high-dimensional tabular data).Students will get acquainted with the principles from computer graphics and human perception, and will learn visualization techniques and methods for a broad range of data types, specifically scientific visualization techniques for spatial data, and information visualization techniques for abstract data. Students will be involved in project activities.

Modalità didattiche

This course is given in English. Please refer to the corresponding English section.

PROGRAMMA/CONTENUTO

This course is given in English. Please refer to the corresponding English section.

TESTI/BIBLIOGRAFIA

This course is given in English. Please refer to the corresponding English section.

DOCENTI E COMMISSIONI

Ricevimento: Su appuntamento via email a enrico.puppo@unige.it Durante il periodo di lezione si possono fissare appuntamenti per gruppi di persone postando sul forum AulaWeb del corso

Commissione d'esame

ENRICO PUPPO (Presidente)

PAOLA MAGILLO

LEZIONI

Modalità didattiche

This course is given in English. Please refer to the corresponding English section.

INIZIO LEZIONI

Secondo semestre

ESAMI

Modalità d'esame

This course is given in English. Please refer to the corresponding English section.

Calendario appelli

Data Ora Luogo Tipologia Note
13/02/2020 09:00 GENOVA Esame su appuntamento
31/07/2020 09:00 GENOVA Esame su appuntamento
17/09/2020 09:00 GENOVA Esame su appuntamento