GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

APPLICATIONS of DATA MINING for INSTRUSION DETECTION/5151339

Course Title:	APPLICATIONS of DATA MINING for INSTRUSION DETECTION
Credits	3	ECTS	7.5
Course Semester	1	Type of The Course	Elective

COURSE INFORMATION

-- (CATALOG CONTENT)

-- (TEXTBOOK)

-- (SUPPLEMENTARY TEXTBOOK)

-- (PREREQUISITES AND CO-REQUISITES)

-- LANGUAGE OF INSTRUCTION

Turkish

-- COURSE OBJECTIVES

-- COURSE LEARNING OUTCOMES

Learning of essential components of applications of data mining for intrusion detection
Propose effective solutions to tackle the main problems and challenges when designing applications of data mining in intrusion detection for a given environment

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	Introduction to data mining and security applications
2. Week	Data mining: Overview of concepts and methods
3. Week	Intrusion detection: Introduction to intrusion detection
4. Week	Attack detection: Taxonomy (Classification)
5. Week	Intrusion detection and data mining: Major methods
6. Week	Applications and tools for data mining algorithms
7. Week	Data preparation for data mining in intrusion detection
8. Week	Midterm, Data preparation for data mining in intrusion detection, midterm
9. Week	Clustering for anomaly detection
10. Week	Classification for the detection of abnormalities
11. Week	Assessment methods and performance analysis
12. Week	Intrusion prevention systems and data mining applications
13. Week	Other data mining applications in information security
14. Week	Other data mining applications and student presentations in information security
15. Week	Final Exam
16. Week

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	0	40
Assignment	0	0
Application	0	5
Projects	0	15
Practice	0	0
Quiz	0	0

Percent of In-term Studies		60
Percentage of Final Exam to Total Score		40

-- WORKLOAD

Activity	Total Number of Weeks	Duration (weekly hour)	Total Period Work Load
Weekly Theoretical Course Hours	14	3	42
Weekly Tutorial Hours			0
Reading Tasks	14	2	28
Searching in Internet and Library	14	1	14
Material Design and Implementation			0
Report Preparing	14	1	14
Preparing a Presentation	14	2	28
Presentation	14	1	14
Midterm Exam and Preperation for Midterm Exam	14	2	28
Final Exam and Preperation for Final Exam	14	2	28
Other (should be emphasized)			0
TOTAL WORKLOAD:			196
TOTAL WORKLOAD / 25:			7.84
Course Credit (ECTS):			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1				X
2				X
3				X
4						X
5			X
6				X
7				X
8					X
9				X
10				X
11			X
12					X
13				X
14					X
15			X

-- NAME OF LECTURER(S)

(Esra Nergis YOLAÇAN)

-- WEB SITE(S) OF LECTURER(S)

()

-- EMAIL(S) OF LECTURER(S)

(eng@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR