The course provides an in-depth understanding of Robotic Process Automation (RPA), focusing on the design and use of RPA systems for structured business process automation. The course covers modern programming languages and management algorithms used in the development of RPA solutions. It examines methods and algorithms necessary for data management and process optimization, using intelligent system management methods. Theoretical exploration of programming libraries and development tools in the context of RPA is offered. The interaction of external input/output devices using system management and process automation methods is also discussed. The course analyzes data flow control methods. Through practical tasks, students are introduced to data processing methods, graph search algorithms, classification, optimization, machine learning, and big data processing methods, which are crucial for effective RPA implementation.

Open to access this content

Open to access this content

Open to access this content

Open to access this content

The goal of this course is to study network management and control methods using Unix/Linux operating system environment.

Open to access this content

Take the first step toward mastering high-level digital skills!

This course is a component of the RTU study course "Vibrotechnology and Vibromachines" and is designed as a self-paced learning experience to provide an introductory insight into the subject and spark further interest. While the course is freely accessible, it does not offer a certificate of completion.

Learn how vibration problems are solved using numerical simulations, parallel programming, and high-performance computing.

This course combines theory with hands-on practice in ANSYS, Python, and JupyterLab, enabling learners to model and analyse vibrotechnical systems efficiently. Interactive content and flexible study formats support independent learning.