Course Information

Course Name	Turkish	Güvenlikte Makine Öğrenme Yöntemleri
	English	Machine Learn.Meth.in Secur.
Course Code	BGK 601E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Kemal Bıçakcı
Course Objectives		To have information about the applications of Machine Learning methods in cyber security and to consolidate this knowledge with practical applications and projects
Course Description		Why machine learning (ML) in security?, Introduction to ML, ML in practice: A worked example, Classifying and clustering, Anomaly detection, Security applications of ML, ML for security in practice, Adversarial machine learning, lab sessions, paper discussions, project presentations.
Course Outcomes
Pre-requisite(s)		General Knowledge in Machine Learning General Knowledge in Security Programming
Required Facilities		Laptop
Other
Textbook		Chio, Clarence, and David Freeman. Machine learning and security: Protecting systems with data and algorithms. " O'Reilly Media, Inc.", 2018.
Other References		- Gareth, James, et al. An introduction to statistical learning: with applications in R. Springer, Second edition, https://hastie.su.domains/ISLR2/ISLRv2_website.pdf. - Jose Portilla, Python for Data Science and Machine Learning Bootcamp, Udemy Course. - BASIRA Lab, Machine Learning Blinks (Spring 2021). - Academic papers (TBA)