Learning outcomes

Upon completion of the course, the student should:

- have a deeper understanding of database systems and their underlying theory

to be able to improve the decision-making process.

- understand the technology of data warehousing.

- understand data mining concepts and techniques.

- be able to develop applications of higher order database systems.

Content

Data Warehousing concepts

Comparing operational database to data warehouse

Data Warehousing system and components

Data transformation process functions

Online analytical processing (OLAP) and OLAP tools.

Data Warehousing applications

Data Mining concepts and techniques

Classification

Association Analysis

Cluster Analysis

Anomaly Detection

Web Mining

Data Mining applications

Instruction

Lectures, lessons, assignments, labs

Assessment

Examination, assignments and labs