Course syllabus for data warehousing and data mining (IS427)
1. Faculty member information:
Name of faculty member responsible for the course
Arwa Ibrahim Ahmed
Office Hours
Office Number
505.11
Email
Stuent_phd@hotmail.com
2. Course overview and general information:
College / Department
This course is designed to give the students the knowledge and skills needed to
Understand the data warehouse, Apply the data warehouse in different areas,
Recognize different methods and algorithms of data mining. Also use data mining
methods in different applications.
Course Name and code
Data warehousing & data mining (IS427)
Number of credit hours
3
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‫هـ‬1435 ‫ عمادة ضمان الجودة واالعتماد األكاديمي‬1
Program or programs that offer this course
Bachelor of Information Systems
Year/course level
Fourth year - level 8.
Prerequisites for this course (if any)
IS422 – Databases Fundamentals.
Current requirements for this course (if any)
Non
Site (to be given if not inside the main building of the institution)
3. Objectives of the course:






Recognize the fundamentals of data warehousing.
Manipulate the data warehousing.
Use the knowledge discovery in data warehousing.
Discover knowledge in different applications.
Recognize the data mining.
Conduct different methods and algorithms of data mining
‫ البابطين‬.‫م‬
‫هـ‬1435 ‫ عمادة ضمان الجودة واالعتماد األكاديمي‬2
4. Course description:
Week
Date
Topic
Activity
Lecture
and
discussion
Course plan
1

2

Introduction to the course
content, textbooks,
references and course
plane.
Definition of knowledge
discovery and data mining.
Lecture
and
discussion
Fundamentals of developing and
using a data warehouse, developing
requirements, and Designing models.
Creating a dimensional model,
generating Population and
maintenance plans for a warehouse.
Manipulating the data in the
warehouse for update, maintenance
and data extraction.
Lecture
and
discussion
Lecture
and
discussion
Lecture
and
discussion
9
Business intelligence
10
Knowledge discovery in data
warehouses.
Lecture
and
discussion
Lecture
and
discussion
11, 12
,13
Data mining algorithms and methods
including association analysis,
classification, cluster analysis.
14 , 15
New emerging applications and
trends in data mining.
3,4
5. 6
7,8
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Intended learning
outcomes
Students ability to
recognize the
definition of E. bank
and the definition of
knowledge
discovery and data
mining
developing
requirements, and
Designing models.
Creating a
dimensional model.
Lecture
and
discussion
Manipulating the
data in the
warehouse for
update,
maintenance and
data extraction
Understand the
concept of Business
intelligence.
Learn the
knowledge
discovery in data
warehouses.
Understand data
mining algorithms
and methods
Lecture
and
Learn New emerging
applications in data
‫هـ‬1435 ‫ عمادة ضمان الجودة واالعتماد األكاديمي‬3
Assessm
ent
methods
discussion
mining.
5. Books and references:

-"DATAWAREHOUSING FUNDAMENTALS: A COMPREHENSIVE GUIDE
FOR IT PROFESSIONALS", by Paulraj Ponniah, Latest Edition.

-"MODERN DATAWAREHOUSING, MINING, AND VISUALIZATION:
CORE CONCEPTS", by George M. Marakas, The Latest Edition.

-"INTRODUCTION TO DATAMINING", by Pang-Ning Tan, Michael
Steinbach, and Vipin Kumar, The Latest Edition.

-"DATAMINING: CONCEPTS AND TECHNIQUES", The Morgan Kaufmann
Series in Data Management Systems, by Jiawei Han, and Micheline Kamber, The
Latest Edition.
6. Assessment methods and the division of grades:
Assessment method
(Write an essay - test
- a collective project a final test ...)
Assessment
Week
First mid-term
second mid-term
Case study
H.W
Final
7
12
8
10
15
Total
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Grade
20
20
10
10
40
Percentage
from overall
grade
Comments
20%
20%
10%
10%
40%
100%
‫هـ‬1435 ‫ عمادة ضمان الجودة واالعتماد األكاديمي‬4
7. Instructions (if any):






There is NO makeup for the missed midterm exam unless you provide a document
accepted by the supervisor of the Information System department. If so, you will be
eligible to attend a comprehensive exam some time at the end of the semester.
Unless otherwise specified, late assignment will not be accepted. Extension will be
granted only in serious situations.
All assignments are to be submitted as a hardcopy unless otherwise specified.
Work submitted for grading must be your own. Any unauthorized copying is
considered a breach of academic integrity and will not be tolerated. Any violation
will include a failure i.e. ZERO grad.
Attendance is a must, and it will be taken at the beginning of each class. You will be
considered an absent if you show up after the first 10 minutes of the class time
You will NOT be allowed to attend the final exam if you skip more than 13 hours,
and you will be considered as denied. The first denial notification will be issued
after 5 hours of absence and the second one will be after 9 hours.
This syllabus has been approved by:
Subject Coordinator Name:.
Signature: ____________________________________________ .
Date: __________________________________________________ .
‫ البابطين‬.‫م‬
‫هـ‬1435 ‫ عمادة ضمان الجودة واالعتماد األكاديمي‬5