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Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2014/2015
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 089202 - TECHNOLOGIES FOR INFORMATION SYSTEMS
Docente Tanca Letizia
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (434) INGEGNERIA INFORMATICA* AZZZZ089202 - TECHNOLOGIES FOR INFORMATION SYSTEMS
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA* AZZZZ089202 - TECHNOLOGIES FOR INFORMATION SYSTEMS

Programma dettagliato e risultati di apprendimento attesi

COURSE OBJECTIVES

We are in the era of large, decentralized, distributed environments where the amount of devices and data and the heterogeneity thereof is getting out of control. Gartner reports that worldwide information volume is growing at a minimum rate of 59% annually.

Organizations capture billions of bytes of data about their customers, suppliers and operations, but their ability to collect, manage and interpret this information could be an obstacle to its use. The web is widening the range of data providers and consumers.

Nowadays, many events can be recorded within organizations generating a never-ending sea of data. Decision-making is based on information, not in just on data. More accurate information leads to better decisions and gives competitive advantages to companies. Hence, processing, manipulating, and organizing data in a way that adds new knowledge to the person or organization receiving it has become a necessary topic.

This course gives an overview of some of the most advanced methodologies adopted to solve the conceptual and technological problems encountered in modern information system design and operation, spanning from the currently consolidated methodologies to the most advanced ones.

 

LECTURES AND EXERCISES

 

Information System Architectures and  Heterogeneous Data Integration: structured and non-structured data (12 hrs lectures, 10 hrs exercises):

  • Introduction to the architectures of modern information systems
  • Data heterogeneity: model heterogeneity, semantic heterogeneity at the schema level, heterogeneity at the data level
  • dynamic data integration, wrappers and mediators
  • integration based on meta-models

 

Data Warehousing and Analysis (10 hrs lectures, 10 hrs exercises):

  • Data Warehouse Architecture and Design
  • Data Mining and its Applications, introduction to data exploration

 

Time Representation and Management in Information Systems (4  hrs lectures):

  • Time Ontology
  • Temporal Databases

 

Advanced topics (4  hrs lectures):

Big Data analysis techniques,  introduction to data exploration, intensional data representation, personalization and context-awareness

 

 

CLASS HOURS: 30 lecture hours; 20 exercise session hours

 

 FURTHER INFORMATION

The exam consists of written  exercises and questions on the theoretical topics discussed in the course lectures

 

PREREQUISITES: Data bases I and Data bases II

 

NOTE ON THE BIBLIOGRAPHY:  The  bibliography includes useful references and is by no means exhaustive of the topics covered in the course. More readings will be mentioned during the lectures. The students are advised to attend the lectures, ask the professor for explanations and read the articles. For each of the books, only the part included in the lectures is mandatory.


Note Sulla Modalità di valutazione

The exam consists of written  exercises and questions on the theoretical topics discussed in the course lectures


Bibliografia
Risorsa bibliografica facoltativaM. Lenzerini, Data Integration: A Theoretical Perspective, Proceedings of ACM PODS, pp. 233-246, Editore: ACM, Anno edizione: 2002, ISBN: 1-58113-507-6
Note:

This is a scientific paper published in a volume of Conference proceedings

Risorsa bibliografica facoltativaRoberto De Virgilio, Fausto Giunchiglia, Letizia Tanca (Eds.), Semantic Web Information Management - A Model-Based Perspective, Editore: Springer Verlag, Anno edizione: 2009, ISBN: 978-3-642-04328-4
Risorsa bibliografica facoltativaM. Golfarelli, S. Rizzi, Data Warehouse Design: Modern Principles and Methodologies, Editore: McGraw Hill, Anno edizione: 2009, ISBN: 0071610391
Risorsa bibliografica facoltativaClement T. Yu, Weiyi Meng, Principles of Database Query Processing for Advanced Applications , Editore: Morgan Kaufmann, Anno edizione: 1998, ISBN: 1558604340
Note:

(in The Morgan Kaufmann Series in Data Management Systems)

Risorsa bibliografica facoltativaSnodgrass R., Ahn I., Temporal Databases - IEEE Computer, Editore: IEEE, Anno edizione: 1986, Fascicolo: vol. 19, n. 9, pp. 35-42
Risorsa bibliografica facoltativaJensen C.S. and Dyreson C.E. (eds.)., A consensus glossary of temporal database concepts - February 1998 version. , Editore: Springer, Anno edizione: 1998 http://link.springer.com/content/pdf/10.1007%2F978-0-387-39940-9_5.pdf
Note:

In Temporal Databases: Research and Practice, O. Etzion, S. Jajodia, S. Sripada (eds.)LNCS 1399, Springer, pp. 367-405.

Risorsa bibliografica facoltativaSchreiber F.A., Is Time a Real Time? An Overview of Time Ontology in Informatics , Editore: Springer, Anno edizione: 1994
Note:

in W.A. Halang, A.D. Stoyenko (Eds.) - Real Time Computing - , Springer Verlag NATO-ASI Vol. F127, pp. 283-307

Risorsa bibliografica facoltativaPang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining , Editore: Addison-Wesley, Anno edizione: 2006, ISBN: 0321321367 http://www-users.cs.umn.edu/~kumar/dmbook/index.php
Note:

The web site contains a lot of interesting material


Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
30.0
esercitazione
20.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
08/12/2019