GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

MACHINE LEARNING AND APPLICATIONS IN INFORMATION SECURITY ENGINEERING/5011339

Course Title:	MACHINE LEARNING AND APPLICATIONS IN INFORMATION SECURITY ENGINEERING
Credits	3	ECTS	7.5
Course Semester	2	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 application and integration of artificial intelligence to hardware and software in security engineering perspective under theory and practice
Learning and distinguishing differences among machine learning algorithms, applying them to the different security problems and data.
Able to do a literature survey easily and effectively. Aware of literature and lecture resources.

-- MODE OF DELIVERY

This course is delivered face to face

--WEEKLY SCHEDULE
1. Week	Basic termimologies : Information Security Engineering and Machine Learning Approaches
2. Week	Problems and Solutions for Security Engineering using Machine Learning Approaches
3. Week	Problems and Solutions for Security Engineering using Machine Learning Approaches
4. Week	Machine Learning Approaches
5. Week	Machine Learning Approaches
6. Week	Machine Learning Approaches
7. Week	Machine Learning Approaches
8. Week	Exam
9. Week	Fuzzy logics and their security applications
10. Week	Artificial neural networks and their security applications
11. Week	Genetic Algorithms and their security applications
12. Week	Support vector machines and their security applications
13. Week	Research and Application Term Project
14. Week	Research and Application Term Project
15. Week	Research and Application Term Project
16. Week	Research and Application Term Project

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	30
Assignment	1	10
Application	0	0
Projects	1	20
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	0	0
Reading Tasks	14	2	28
Searching in Internet and Library	14	2	28
Material Design and Implementation	8	3	24
Report Preparing	8	2	16
Preparing a Presentation	5	3	15
Presentation	2	2	4
Midterm Exam and Preperation for Midterm Exam	7	2	14
Final Exam and Preperation for Final Exam	14	2	28
Other (should be emphasized)			0
TOTAL WORKLOAD:			199
TOTAL WORKLOAD / 25:			7.96
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)

(PROF. DR. SEREF SAGIROGLU)

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

(http://www.ceng.gazi.edu.tr/~ss/)

-- EMAIL(S) OF LECTURER(S)

(ss@gazi.edu.tr)

Gazi University

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GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR