General courses

- Analytical Geometry
- Introduction to mathematical modelling (optionally)
- Differential equations
- Integral Equations and calculus of variations
- Linear algebra
- Mathematical analysis 1
- Mathematical analysis 2
- Mathematical Analysis 3
- Methods of mathematical physics
- Principles of Mathematical Modeling
- Modern problems of physics
- The theory of functions of a complex variable
- Numerical Methods (A.N. Bogolyubov) Курс численных методов для 402 группы (кафедра математики) и для всех желающих
- Numerical methods in physics Numerical methods applied in physics

Special courses

- Abstract differential equations with applications in mathematical physics
- Asymptotic methods in nonlinear problems of mathematical physics
- Supplementary chapters of mathematical physics (nonlinear functional analysis)
- Additional chapters of numerical methods Application of numerical methods for various applications
- Linear and nonlinear functional analysis
- Mathematical problems of diffraction theory Mathematical models of wave processes in non-uniform environments, their full mathematical justification. Main analytical and numerical algorithms of creation of models and their research
- Mathematical modeling of plasma – computer experiment
- Mathematical modeling of plasma – fundamentals of kinetics
- Differential inequality method in nonlinear problems
- Nonlinear elliptic and parabolic equations of mathematical physics
- Fundamentals of algebra and differential geometry
- Category Theory Basics
- Parabolic equations Parabolic equations
- Application of spectral theory in mathematical physics
- Programming of scientific applications in the language C++
- Methods of finite differences in mathematical physics
- Special functions of mathematical physics This course is a restored course, created by prof. A.F. Nikiforov. A unified approach to constructing particular solutions to generalized hypergeometric equation is proposed. The generalized hypergeometric equation is an often used equation of mathematical and theoretical physics.
- Special practical work. Differential schemes
- Stochastic differential equations
- Theoretical Basics of Big Data Analytics and Real Time Computation Algorithms The course will briefly review specific challenges of Big Data Analytics, such as problems of extracting, unifying, updating, and merging information and specific needs in processing data, which should be highly parallel and distributed. With these specific features in mind we will then study more closely a number of mathematical tools for Big Data analytics, such as regression analysis, linear estimation, calibration problems, real time processing of incoming (potentially infinite) data
- Catastrophe theory and its applications in physics
- Functional analysis
- Extremal problems
- Elliptic equations

Facultative courses

- Introduction to the tensor analysis
- Mathematical problems of diffraction theory 1. Supplementary chapters Mathematical models of wave processes in non-uniform environments, their full mathematical justification. Main analytical and numerical algorithms of creation of models and their research
- Mathematical modeling – the third way of knowledge
- Symbolical, numerical and graphic methods of computer mathematics
- Tensor analysis The course is devoted to the presentation of the basics of differential geometry and is expository. It is designed for students 2 - 5 courses
- Functional analysis. Supplementary chapters
- Elements of measure theory and Lebesgue integral

Spec. Postgraduate Courses