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Jerash University
‫جامعة جرش‬
Information Technology College
‫كلية تكنولوجيا المعلومات‬
Course Title: Data Warehousing
Course code: 2001002
Course Level: Third
Course prerequisite(s) and/or
corequisite(s): 2001441
Credit hours: 3
Semester/Lecture Time:
Instructor Details
Instructor Name
e-mail
Office Hours
Course Description
Data
Warehouse
modeling
and
implementation:
data
extraction,
cleansing,
transformation and loading, data cube computation, materialized view selection, OLAP
query processing; Data Mining: fundamentals of data mining process and system
architecture, relationship of data mining with data warehouse and OLAP systems, data
pre-processing, mining techniques and application: association rules, mining sequence
and time-series data, text mining; implementation of selected techniques.
Objectives

The data warehousing part of module aims to give students a good
overview of the ideas and techniques which are behind recent
development in the data warehousing and online analytical processing
(OLAP) fields, in terms of data models, query language, conceptual
design methodologies, and storage techniques .

Provide a solid introduction to the topic of Data Warehousing.

Show the difference between database and data warehousing.

Basic concepts on knowledge discovery in databases.

Concepts, model development, schema design for a data warehouse.
 Data extraction, transformation, loading techniques for data warehousing
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Jerash University
‫جامعة جرش‬
Information Technology College
‫كلية تكنولوجيا المعلومات‬

Concept description: input characterization and output analysis for data
mining.
Course Contents:
Week Topics
1,2
Introduction



3,4,5
models
Topic Details
Reference
(chapter)
Introduction to the course, basic
statistics, probability.
Evolution of data management
technologies, introduction to data
warehousing concepts.
Data pre-processing, data extraction,
transformation, loading processes, data
cleansing algorithms
Chp.1


Defining subject areas, design of fact
and dimension tables, data marts.
Online analytical processing
(OLAP), roll-up, drill-down, slice,
and dice operations
Date
Chp.2
First Exam/ Projects Discussion
6, 7
Data
Warehousing
8,9
Data Warehouse
Architectures
10,11
,12
Data
Preprocessing









Data Warehouse modeling
o Star model
o Snowflake
o Galaxy
Warehouse view
Simple architecture
Data Marts
Staging
Summarization
Cleaning
Integration and Transformation
Reduction
Chp3
Chp.5
Chp7
Second Exam
13
Unlocking the
Data Asset for
End Users (The
Use of Business
Information):

Designing, Business Information
Warehouses, Populating Business
information Warehouses, User
Access to Information, Information
Data in Context.
Chp7
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14
Jerash University
‫جامعة جرش‬
Information Technology College
‫كلية تكنولوجيا المعلومات‬
Implementation
15
Review
Methods for the implementation of Data
Warehouse Systems
Chp8
Project Discussions and Presentations
Final Exam
Assessment and Grade Distribution
Assessment
Requirements
Points
Total
Assignment and Projects
20%
Project
15%
Presentation & Discussion
5%
Individual Work
80%
Attendance, Participation,
Home works and short
report
Chapter Homework’s,
Short Presentations
Quizzes
Unannounced Short quizzes
First Exam
Multiple Choice Questions worth 25%
and Essay Questions worth 75% of
exam grade.
15%
Second Exam
Multiple Choice Questions worth 25%
of and Essay Questions worth 75% of
exam grade.
15%
A Comprehensive Final
examination
Multiple Choice Questions worth 25%
and Essay Questions worth 75% of
exam grade.
40%
Discussions,
10%
TOTAL
Teaching and Learning Methods:
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100%
‫جامعة جرش‬
Information Technology College
‫كلية تكنولوجيا المعلومات‬
1.
Jerash University
Interactive lectures
Interactive lectures using PowerPoint slides and available audio/visual tools in order
to facilitate the teaching process and develop students understanding. Students will be
invited to share their views and experience their knowledge. In addition, students will
be asked to provide their feedback in regular bases.
2.
Group Projects and Presentation
A list of suggested research projects will be available at the beginning of the semester.
Each student will submit a short proposal of the selected project, starting from the
second week of classes. The proposal should identify the main idea, contents, time and
plan, tools and applications that will be employed in the project. Once the project is
approved by the instructor, the students can continue their work and will submit their
project along with a 15 minutes presentation at the end of semester.
3.
Outside-classroom activities
Experts from academic and industrial institution will be invited to provide lectures on
selected subjects covered within this course.
Text Book and References:
Paulraj Ponniah, “Data Warehousing Fundamentals”, John Wiley.
Text Book
M.H. Dunham, “Data Mining Introductory and Advanced Topics”,
Pearson Educatio.
[R1]
Lecture Notes
Ralph Kimball, “The Data Warehouse Lifecycle toolkit”, John Wiley.
[R2]
M Berry and G. Linoff, “Mastering Data Mining”, John Wiley.
W.H. Inmon, “Building the Data Warehouses”, Wiley Dreamtech.
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