Syllabi of elective disciplines for Master’s students.

F-Catalog of Master’s Programs 2025

F-Catalog of Master’s Programs 2024

Elective disciplines of the F-Catalog taught by the Department of Computer Engineering:

Graphics Processing Technologies

Machine Learning

Neural Networks

Fundamentals of Nature-Inspired Computing

Programming Technologies for Computer Networks

Development and Operation of Internet of Things Systems

Organization of High-Performance Computing

Cloud Systems Development

Genetic Algorithms

Distributed Computing Technologies

Data Science Technologies for E-commerce Applications

Deep Learning

Performance Enhancement Tools for Modern Computer Systems

Internet Technologies

Embedded Systems: Applications and Security

Distributed and Federated Learning

Artificial Intelligence and Machine Learning for Computer Networks and the Internet of Things

Robot Operating System (ROS)

Robot Learning

Natural Language Processing Methods

Design of Distributed Systems

Reinforcement Learning

Syllabi of elective disciplines taught by lecturers of other departments are available on the websites of the respective departments.