NSE 6180
Security and Privacy Implications of
Data Mining
Ch. 0: Course Information
 ourse Information
n Course Homepage:
¨ Moodle
n Lecture time:
¨ Monday, Wednesday: 18:30-21:00
n Office hours:
¨ Wednesday 16:00-18:00
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Course Information
n Prerequisite: Basic database knowledge.
¨ Table
¨ Record / Tuple
¨ Attributes
¨ Joining two database tables
n Prerequisite: Basic programming knowledge will help.
n For the final exam, you are responsible to understand
the materials in:
¨ the specified chapters in textbook
¨ the lectures up the class before the final exam
n Feel free to ask questions at anytime in lectures
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Course Information
n Original slides are from Dr. Benjamin Fung, the former
instructor of the course.
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Course Objectives
1. To study the basic data mining
techniques and applications.
2. To study the security and privacy threats
caused by data mining.
3. To apply data mining techniques to
detect/prevent security and privacy
threats.
n You will gain the basic knowledge to
apply data mining techniques in future
problems.
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Instructor’s Information
n Nizar Bouguila
n Email: nizar.bouguila@concordia.ca
n Office: EV007.632
n Office Hour: Wednesday 16:00 – 18:00
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Required Textbook
n Data Mining: Concepts and
Techniques, 3rd edition, Jiawei
Han, Micheline Kamber, and
Jian Pei, 2012.
n Lecture notes specify the
chapters required for this
course.
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Workload and Grading
n Be prepared to spend adequate time and effort
on this course due to compressed schedule.
n Project progress report: 10%
n Project presentation & report: 40% (7 and 9
August)
n Final exam: 50% (2 August)
(Students are required to pass the final
exam in order to pass the course.)