The Department of Mathematics fits naturally into the structure of the School of Physics, Mathematics, and Computer Science as it supports and develops the tradition of the latest in providing fundamental aspects of learning and academic research. The aim of the department is to provide teaching in mathematics for all specializations at HSE to the highest international standards and the development of fundamental and applied research in mathematics, its applications, tools and methods.
Kuznetsov N. V., Mokaev T. N., Alexeeva T. A.
Ekaterinburg: Институт математики и механики УрО РАН им. Н.Н. Красовского, 2019.
Koltsov S., Ignatenko V., Boukhers Z. et al.
Entropy. 2020. Vol. 22. No. 4. P. 1-13.
Koltsov S., Ignatenko V., Pashakhin S.
In bk.: Proceedings of the 5th International Electronic Conference on Entropy and Its Applications. Vol. 46. Iss. 1. MDPI AG, 2020. Ch. 5. P. 1-8.
Сафроненко Е. В.
math. arxive. Cornell University, 2019
The Department of Mathematics fits perfectly into the structure of the School of Physics, Mathematics, and Computer Science as it supports and develops the fundamental aspects of learning and academic research. The aim of the department is to provide teaching in mathematics for all specialisations at HSE to the highest international standards and the development of fundamental and applied research in mathematics, its applications, tools and methods.
This includes the following key tasks:
The department brings together specialists in different areas of pure and applied mathematics, contemporary informatics and information modelling of socio-economic processes, plans and applications of algorithms and research tools. We thus possess competencies in an extraordinarily wide range of areas in mathematics and its applications.
‘The basic principle and credo of the Department of Mathematics can be expressed in the words of Immanuel Kant: 'In every department of physical science there is only as much science as there is mathematics.' Our main asset is our staff, some of whom have international reputations and academics with brilliant publications, they combine intensive research with teaching. Y. Y. Nikitin is a major specialist in asymptotic problems of the theory of probability and mathematical statistics; A. D. Baranov is a specialist in complex and harmonious analysis and operators theory; S. N. Koltsov is a specialist in mathematical modelling for various sectors; S. I. Nikolenko is a specialist in theoretical informatics, bioinformatics, cryptography, machine learning and methods of probability ideas of learning; A. V. Sirotkin is a specialist in probability models, machine learning and methods of data analysis. Students and colleagues know and respect them and they represent the extremely high quality of education in our department.’