The Department of mathematical modeling was formed in 1987 and renamed as the Department of mathematical and computer modeling in 2019.

Summary

 

The department prepares highly qualified specialists in the field of applied mathematics and informatics, who have fundamental mathematical training and advanced qualifications in the field of programming and modern information technologies. Graduates of the department are able to participate in mathematical and computer modeling of physical, technological, economic, biological and other processes and the development of system and application software. Particular attention in the preparation of graduates is given to the methods of mathematical and computer modeling and their application in research, design and production activities. Considerable attention is paid to modern methods of storage, transmission and processing of information (including mathematical methods of cryptography), network technologies, and the use of parallel computing systems.

Areas of research: differential equations in partial derivatives and integro-differential equations, computational mathematics and mathematical modeling, including development of the theory of correct solvability of boundary and initial-boundary value problems, qualitative and asymptotic properties of solutions, construction and computer implementation of approximate methods for solving applied problems. Other areas of research: discrete and probabilistic mathematical models, their computer implementations, discrete mathematic, estimates of the bounds for complexity of algebraic transformations and operations in cryptographic protocols, coding systems, and pattern recognition systems; implementation of algorithms of modern computer algebra; random processes; high-speed implementations of graph models.​​ 

Research areas

  • non-classical boundary value problems of mathematical physics and methods for their solving 
  • mathematical modeling of discrete systems: implementation of large algebraic structures in computer algebra, coding, cryptography, decision making and diagnostics 
  • statistical methods of digital information processing 
  • intelligent recognition systems, databases

Recent projects

Project of the Russian Science Foundation 19-11-00033 (2019-2023) “Systems of differential and integro-differential equations with non-standard boundary conditions and junction conditions arising in applications. Solvability, qualitative and asymptotic properties of solutions”.

Project FSWF-2020-2022 (2020-2022) in the framework of the state assignments of the Russian Ministry of Science and Education “Development of methods for receiving and processing signals and the study of non-standard models that arise in natural science and technical applications”​

Features

Work with students is a priority concern of the department. The main task of the department is to form the high professional skills of graduates, allowing them to find work in the direction of their interest in accordance with their qualifications. Therefore, studies in the first two years include basic training in various subjects, and starting from the 3rd year, students spend a lot of time individually with a supervisor, improving their knowledge in the chosen subject area. Some of them participate in scientific projects of the department. Many students, having a good mathematical background, take part in all-Russian and international olympiads in mathematics and programming, winning prizes. Curators work at the department to adapt freshmen to new realities.

Unique equipment

The educational laboratory of the department has two computer classes, equipped with modern computers

Educational programs

Bachelor

- Code, direction name, profile

01.03.02 Applied mathematics and informatics, Mathematical modeling

Master

- Code, name of the direction, master's program

01.04.02 Applied Mathematics and Informatics, Mathematical and Computer  modeling

PhD

01.06.01 Mathematics and mechanics

- Code, name of scientific specialty

1.1.2. Differential Equations and Mathematical Physics

1.1.6. Computational Mathematics​​​

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