Methodology for constructing an educational process when studying disciplines in the field of intelligent information processing technologies

The paper examines the aspects and specifics of teaching training courses in the field of organizing intelligent data processing systems based on artificial neural networks. Requirements for the knowledge and skills of students are formulated to ensure independent construction of neural network systems for analyzing and processing information. These requirements are based on knowledge and practical application of the mathematical apparatus that underlies the organization of such systems. The methodological foundations for teaching the relevant disciplines are determined, ultimately ensuring the formation of the necessary competencies among students.