Abstract
Due to the improvement of university management system based on computer and information systems, the issue of class scheduling automation has become increasingly relevant. The solution to the problems of compiling various types of schedules belongs to a special field of applied mathematics - the theory of schedules. However, the solution to this problem heavily depends on the specifics of a particular university. This means that scheduling requires the development of “flexible” methods and algorithms that should more or less take into account the specifics of each university. This article provides an overview of the available methods and algorithms used in scheduling classes and describes the development and implementation of an algorithm that would solve the task of forming the optimal university class schedule based on the genetic algorithm.