Course Structure
Course id: IS 491 - Selected topics - Data mining and Data Warehousing
Credit hours: 4 (3H. Lecture + 1H. Tutorial)
Instructor: Dr. Mourad YKHLEF
Objectives: The intention of this course is to introduce the essential concepts of data mining and data warehousing. New advanced trends related to the field will be introduced to give the student a good knowledge about the current and future directions of the field.
Course’s content:
|
Preliminaries and Overview |
1 week |
|
Data warehousing and OLAP |
3 weeks |
|
Data Preprocessing |
1 week |
|
Concept description: characterization and comparison |
1 week |
|
Mining association rules |
2 weeks |
|
Classification |
2 weeks |
|
Clustering |
3 weeks |
|
Mining complex types of data |
1 week |
Recommended books:
- J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2001, ISBN 1558604898
- R. Jacobson, The Microsoft SQL Server 2000 Analysis Services Step by Step, Microsoft, 2000 ISBN 0735609047
Evaluation:
20% for first mid term exam
20% for second mid term exam
5% for homework and presence
15% for project + quiz
40% for the final exam