Upon successful completion of the course the student will be able to:
Understand the meaning and characteristics of an intelligent system,
Understand the concept of an intelligent training system,
Understand and recognize the differences between OLTP Databases and Data Warehouses and create Data Warehouses according to the steps of the ETL (Extract, Transform and Load) process.
Diagnose problems that have occurred as a result of the data integration and transformation.
Create well structured dimension tables and fact tables and use them to create star and snowflake schemata.
Distinguish and choose the most appropriate method for knowledge extraction through a large number of data,
Acquire the necessary skills to exploit ready-made tools for data mining , in order to develop an intelligent system,
Combine results of classification, clustering and association rules and will be able to end up with the production of new knowledge.
It is the only Greek University Department with the objective of training agroeconomists able to meet the demands of this new period in Greek agriculture which was inaugurated with the entry of Greece into the E.U.
