Information management

A.A. 2018/2019
Insegnamento per
6
Crediti massimi
48
Ore totali
SSD
INF/01
Lingua
Inglese
Obiettivi formativi
The goal of this course is the study of the management of information in modern information systems. The course will then specifically focus on transaction management, distributed databases, data warehousing, data mining, NoSQL, and distributed computation.
tecniche di valutazione della qualita` dei dati e preprocessing;
- tecniche di riduzione della numerosita` e della dimensionalita` dei dati;
- metodi per frequent pattern analysis e regole di associazione;
- metodi per problemi di classificazione;
- cluster analysis;
- programmazione in linguaggio R.

Struttura insegnamento e programma

Linea Milano - disponibile in streaming da Crema
Edizione attiva
Responsabile
INF/01 - INFORMATICA - CFU: 6
Lezioni: 48 ore
Docente: Foresti Sara
STUDENTI FREQUENTANTI
Programma
1. Transaction management (ACID properties, failure management, concurrency control)
2. Distributed databases (fragmentation and allocation, transaction management in distributed scenarios, distributed queries)
3. Data warehousing (ETL, conceptual and logical modeling)
4. Data mining techniques (e.g., itemset mining, classification, clustering)
5. NoSQL (data models, distribution models, consistency and ACID properties, distributed computation)
Informazioni sul programma
1. Transaction management (ACID properties, failure management, concurrency control)
2. Distributed databases (fragmentation and allocation, transaction management in distributed scenarios, distributed queries)
3. Data warehousing (ETL, conceptual and logical modeling)
4. Data mining techniques (e.g., itemset mining, classification, clustering)
5. NoSQL (data models, distribution models, consistency and ACID properties, distributed computation)
Propedeuticità
Basi di dati (Databases)
Prerequisiti e modalità di esame
Prerequisites: None
Exam: The exam consists of a written test, including both questions and exercises covering the topics of the course. Questions and exercises are aimed at evaluating the knowledge and understanding of the student of the course.
Metodi didattici
Classes
Materiale didattico e bibliografia
Teaching material made available through Ariel platform (http://sforestiasd.ariel.ctu.unimi.it/v3/Home/).
Books and scientific papers indicated during classes.
STUDENTI NON FREQUENTANTI
Programma
1. Transaction management (ACID properties, failure management, concurrency control)
2. Distributed databases (fragmentation and allocation, transaction management in distributed scenarios, distributed queries)
3. Data warehousing (ETL, conceptual and logical modeling)
4. Data mining techniques (e.g., itemset mining, classification, clustering)
5. NoSQL (data models, distribution models, consistency and ACID properties, distributed computation)
Prerequisiti e modalità di esame
Prerequisites: None
Exam: The exam consists of a written test, including both questions and exercises covering the topics of the course. Questions and exercises are aimed at evaluating the knowledge and understanding of the student of the course.
Materiale didattico e bibliografia
Teaching material made available through Ariel platform (http://sforestiasd.ariel.ctu.unimi.it/v3/Home/).
Books and scientific papers indicated during classes.
Periodo
Secondo semestre
Periodo
Secondo semestre
Modalità di valutazione
Esame
Giudizio di valutazione
voto verbalizzato in trentesimi
Siti didattici
Docente/i
Ricevimento:
su appuntamento
via Celoria, 18 - Milano (MI)