Course description

The course examines the basic machine learning algorithms, various approaches and technologies for data analysis, their qualities, features and impact in various fields of science and technology. As an outcome of mastering the course, students will be able to apply machine learning methods to visualize their data, build graphs, and present the results qualitatively.

Course goal(s)

The course goal is to acquire the theoretical and practical knowledge in the field of artificial intelligence in general and in particular in the creating of algorithms capable of learning

Course objectives:

Course Objectives:

• artificial intelligence;
• machine learning;
• deep learning fundamentals;
• data analysis;
• machine learning categorizes;
• machine learning workflow;
• applications of machine learning;
• supervised, unsupervised algorithms;
• computer vision.

Skills & Competences

• Possess of tools and technologies for detecting, preventing and responding to cyber-attacks.
• Demonstrate knowledge of basic forensic techniques and investigation of security incidents.
• Have to ability to analyze data and use machine learning techniques to detect anomalies and predict threats.