Course Structure
Course id: IS 531 – Document storage and Retrieval Systems
Credit hours: 3 (3H. Lecture)
Instructor: Dr. Mourad YKHLEF
Objectives: The intention of this course is to introduce the essential concepts of document storage and information retrieval. 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:
|
1. Introduction to IR models and methods |
1 week |
|
2. Boolean Model |
1 week |
|
3. Vectorial Model |
2 week |
|
4. Probabilistic Model |
1 week |
|
5. Query languages |
1 week |
| 6. Query operations |
1 week |
| 7. Classification |
1 week |
|
8. Clustering |
2 weeks |
Recommended books:
- Ricardo Baeza-Yates and Berthier Ribeiro-Neto. Modern Information Retrieval. Addison Wesley. 1st edition 1999. ISBN 0-201-39829-X (KSU 025.04 BR)
- William B. Frakes and Ricardo Baeza-Yates. Information Retrieval, Data Structures and Algorithms. Prentice Hall. ISBN 0-13-463837-9 (KSU 005 I.R Ce)
Evaluation:
20% for first mid term exam
20% for project or article presentation
10% for homework
10% for attendance
40% for the final exam