Advanced principles of the system based on data. Modern tools to support data transformation into knowledge, information templates. Methods of techniques and tools for collecting data, verifying the integrity and quality of the collected data and their sharing as resources within complex systems based on data / information / knowledge. Basic concepts and concepts of data engineering. Relationship between information and knowledge. Methods, techniques and tools for data analysis. Use of R language and RStudia. Mechanisms, methods and tools for displaying (reproduction) the collected data. Elements of statistical conclusion, regression models, machine learning elements. Data, information and knowledge as products. System modeling and formalisms related to the description of the structure and behavior of complex systems based on the transformation of data into usable knowledge. Practical part: installation, setup and use of an integrated development environment to support the transformation of data into usable knowledge; Implementation of information templates. Installing, setting up and using clients for the selected system for data transformation into knowledge. Installation, configuration and use of the system for handling heterogeneous data / information / knowledge warehouse. Installation, configuration and use of the service layer for accessing formatted knowledge to the multilayer architecture.