Alexander Tolmachev

Ural Federal University | UrFU · Department of Systems Analysis and Decision Making

математических методов и средств исследования применительно к высшему образованию и рынку труда в цифровой экономике. Целью написания монографии явилось междисциплинарное исследование развития ма-тематических методов и средств исследования сложных экономических систем на примере высшего образова-ния и рынка труда в условиях цифровой экономики. Пост...

The digital transformation of industry poses new challenges for related industrial fields, in particular for education. Universities must transform accordingly and provide the digital economy with qualified personal. Online technologies, including online learning, play an important role in digital transformation, opening up new opportunities and po...

The worldwide spread of a new infection SARS-CoV-2 makes relevant the analysis of the different factors that lead to the vulnerability of modern civilization to previously unknown diseases. In this regard, the development of mathematical models describing the evolution of epidemics like COVID-19 and the identification of socio-economic factors affe...

Online education develops dynamically in Russia and in the world. However, its use is associated with a number of specific problems caused by a large number of students and the lack of personal contact with them. Among these problems are - loss of motivation and early termination of education, difficulties in mastering certain significant elements...

Relevance. The worldwide spread of a new infection SARS-CoV-2 makes relevant the analysis of the socio-economic factors that make modern civilization vulnerable to previously unknown diseases. In this regard, the development of mathematical models describing the spread of pandemics like COVID-19 and the identification of socio-economic factors affe...

This article describes a probabilistic mathematical model which can be used to analyse traffic flows in a road network. This model allows us to calculate the probability of distribution of vehicles in a regional road network or an urban street network. In the model, the movement of cars is treated as a Markov process. This makes it possible to form...

Learning analytics in MOOCs can be used to predict learner performance, which is critical as higher education is moving towards adaptive learning. Interdisciplinary methods used in the article allow for interpreting empirical qualitative data on performance in specific types of course assignments to predict learner performance and improve the quali...