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
1Defines problems in information security engineering.X
2Grasps the theoretical knowledge about information security engineering.X
3Applies gained knowledge and develops new solutions in the field of information security engineering.X
4Follows the national and international literature on the scientific and technological developments in information security engineering.X
5Proposes solutions to information security engineering problems using scientific research methods in the light of quality and standards.X
6Knows and applies the methods necessary to collect and analyze data pertaining to information security engineering.X
7Grasps the interaction among various disciplines related to information security engineering.X
8Evaluates research results using scientific criteria, presents the results in the form of academic articles and reports.X
9Takes responsibility to solve new problems in information security engineering.X
10Performs all professional activities within the confines of the law and ethics.X
11Makes contributions to industry and society through scientific innovation, novel approaches or applications of known methods to new fields.X
12Improves information security awareness in society by sharing knowledge and experience.X
13Recognizes the necessity of lifelong learning and acts accordingly.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)