Course Description

This course provides students with an in-depth understanding of the design and implementation of data warehousing and data mining based systems. It will address the opportunities and challenges of applying data mining techniques in academics, industry, businesses, sciences and the Web. Several aspects of the data mining process are covered in this course such as: data gathering and storage, data selection and preparation, model building and testing, results interpretation and validation and models application.

Learning Outcomes

Upon completion of the course, students will be able to:

·        Understand what data mining is and how data mining can be employed and applied to solve real problems.

·        Recognize wither a data mining solution is feasible alternative for a specific problem.

·        Apply basic statistical to evaluate the results of data mining models.

·        Develop a comprehensive understanding of how several data mining techniques can be applied to solve problems.

·        Understand the common designs and structures of warehouse systems.