AIMS AND CONTENT

LEARNING OUTCOMES

The course will focus on architectural aspects of transactional systems, index management, query processing, transaction management and recovery. The second part will cover data warehouse project themes and data mining and knowledge discovery techniques for recovering information in large amounts of data.

SYLLABUS/CONTENT

The course will focus on architectural aspects of transactional systems, query processing, transaction management and recovery.
The second part of the course will address the issues of data warehouse project is the conceptual point of view and from the point of view of logic, will present the models Fact and Snowflake and architecture of a Data Mart.
In the third part the course will analyze and discuss techniques of data mining and knowledge discovery for the retrieval of information in large amounts of data, with particular reference to the Frequent Pattern Analysis and techniques of classification and prediction.

RECOMMENDED READING/BIBLIOGRAPHY

Kimball and Ross "The data warehouse toolkit" - Wiley & Sons 
Jiawei Han, Micheline Kamber, “Data Mining: Concepts and Techniques” - Morgan Kaufmann

TEACHERS AND EXAM BOARD

EXAMS

EXAM DESCRIPTION

Individual project and discussion

ASSESSMENT METHODS

Design capabilities compared to the training objectives

Exam schedule