COURSE SYLLABUS IS3520 (Data Mining)

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COURSE SYLLABUS
IS3520 (Data Mining)
Department of Information Systems
Sattam Ben Abdulaziz University
Course
Data Mining (IS3520)
description:
In this course, preliminary data mining concepts and techniques are introduced.
Topics covered are: Data mining algorithms and methods including association
analysis, classification, cluster analysis, as well as emerging applications and
trends in data mining (such as Web data mining, biomedical data mining and
security).
Prerequisites
Co-requisite:
IS2510
Course
Learning
Objectives
Student completing this course successfully will be able to :
Topics
covered
Introduction
Data Mining & Knowledge Discovery
Discovering Data
Classification& Regression
Association analysis
Cluster analysis
Emerging applications and trends in data mining (Optional)
Textbook :
CLO1. Understand basic data mining & knowledge discovery concepts.
CLO2. Comprehend different data properties including data types, data preprocessing ...etc.
CLO3. Understand concepts behind data warehousing.
CLO4. Explore data from mathematics point of view.
CLO5. Understand data mining algorithms and methods including association
analysis, classification, and cluster analysis.
CLO6. Apply different data mining techniques to solve problems.
CLO7. Work in groups to research a related topic to data mining.
CLO8. Present the work in seminar sessions.
CLO9. Use specific software tools for data pre-processing, general purpose data
mining, classification, association analysis, cluster analysis.
3
6
6
9
9
9
3
P. Tan, M. Steinbach and V. Kumar, “Introduction to Data
Mining”,Addison-Wesley, 2006. ISBN-10: 0321321367 ISBN-13:9780321321367
Course evaluation : There are two midterm exams during the semester, a final exam and
graded homework:
Week due
Proportion
First exam (1 Hour)
Week #06
20
Second exam (1 Hour)
Quizzes and assignments
Week #12
During the term
20
10
Tutorial Project
During the term
10
Final exam
This will be a 2-hour examination
and the date and time will be
announced by the College.
40
Office hours:
on Monday from 11-3 and on Tuesday from 10-11
location
1hfloor – Room 1
Time
Monday from 8-11
Outside office hours, please make an appointment by
sending an email to: inf_mm@yahoo.com
Prepared by :
Signature :
Nahed abu zaid
Nahed abu zaid
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