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Course Information

Course Name
Turkish Güvenlikte Makine Öğrenme Yöntemleri
English Machine Learn.Meth.in Secur.
Course Code
BGK 601E Credit Lecture
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
Required Facilities Laptop
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)
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