PROBLEMS AND PROSPECTS OF STUDYING THE DISCIPLINE “ARTIFICIAL INTELLIGENCE SYSTEMS” ON THE EXAMPLE OF BRANCH OF SAMARA STATE TRANSPORT UNIVERSITY IN NIZHNY NOVGOROD

In the modern world, the availability of high-quality software for the study of neural networks has become an integral requirement for the development of a high-tech society. After all, it is neural networks that play a key role in solving complex problems of machine learning, pattern recognition, data analysis, and other areas where information processing and interpretation are required. In recent years, artificial intelligence and neural networks have become an actively developing area of science and technology. Due to their widespread use in various fields, universities are increasingly including the study of neural networks in their curricula. However, teaching this complex material requires a special approach and methodology so that students can fully master it and apply it in their future work. The methodology of teaching neural networks at the university should be comprehensive, include both theoretical and practical aspects, as well as provide constant interaction with leading specialists. Only such methods will allow universities to form a new generation of specialists in the field of neural networks, ready for highly effective work in the modern information world. The article discusses the experience of teaching and studying the academic discipline “Artificial Intelligence Systems” at the university, identifies the methodological problems of teaching neural networks at the university, analyzes the shortcomings and difficulties that arise when students study this discipline, and develops recommendations for improving the educational process.

educational process, teaching methods, artificial intelligence, neural network, software, hardware, training program, methodological problems, neural network models, machine learning algorithms, information processing

Kasparov I. V. Problems and prospects of studying the discipline “Artificial intelligence systems” on the example of Branch of Samara State Transport University in Nizhny Novgorod. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2024;2(67):486—491. DOI: 10.25683/VOLBI.2024.67.994.