This course gathers students from diverse fields and varying experiences, offering a comprehensive understanding
of artificial intelligence principles and applications, enabling them to adeptly navigate AI tools essential to their work.

Course makes introduction to artificial neural network methods, to methods of learning, to implementation for object recognition with NeuroSolutions software. Based on neural networks sumulation software it helps to support virtual learning methods.
Learning Outcomes 1: Application of modern modeling approaches and methods and optimization for research and creation of effective automation systems for reducing waste generation, promoting circular economy practices, and supporting sustainable procurement policies on base of Neurotechnology.
Learning Outcomes 2: Analyses of production and technical systems in a certain industry activities as objects of automation and determine their strategy automation and digital transformation, in their transition to a circular economy involing designing of products for longevity, repairability, and recyclability with analyses, monitoring and prediction on base of Neurotechnology.

Course purpose: formation of theoretical knowledge of possible dangers and the degree of risk of information loss; formation of competencies and practical skills to ensure the protection of software products; formation of future specialists' skills and competencies to determine the place and role of cybersecurity in the overall national security system, the state and principles of information security of the individual, organization and state necessary for further work; study of the application of methods and tools of effective and safe handling of information, regardless of its origin and type in the context of widespread the use of modern information technologies.