The goal of the specialization in Communication Systems is to train graduates who are familiar with the diverse methods and techniques of communication engineering, machine learning, optimization and data science, and who can appropriately select and apply those most suitable for a given application.

The following areas of study are of particular importance:

Systems thinking: Knowledge of methods for describing linear and nonlinear (physical) systems, theory of signals, information processing and machine learning, analysis and simulation methods, principles of human-to-human and human-system interaction.

Problem-solving approaches, combined with application-oriented examples: theoretical and practical knowledge of components, devices, and systems; transmission methods; all types of signal processing from source to sink; methods of fault diagnosis and fault tolerance.

Tools and resources: Sound programming skills at the macro and micro levels (software engineering), statistical, machine learning, and AI methods, optimization techniques, software frameworks, and knowledge of computer architectures.

Interdisciplinarity: Applications in medical technology, acoustics and acoustic signal processing, methods of control engineering, basic knowledge of management/logistics and economics, and understanding the interactions of people, technology, and organizations.