Master degree program
Mathematical and Computer Modelling

Mathematical and Computer Modelling

QUALIFICATION

  • Scientific and pedagogical direction - Master of Engineering Sciences

MODEL OF GRADUATING STUDENT

ON1. Conduct research and obtain new fundamental and applied results, plan research in accordance with the approved direction of research in the field of specialization. Apply modern methods of mathematical modeling for scientific research.
ON2. Use the concepts of the essence, mechanisms and patterns of natural-physical, chemical-technological, natural, biological, medical and random processes in the development of conceptual and theoretical models of solvable applied problems.
ON3. Use high-performance computing systems and methods of mathematical and computer modeling in the analysis and solution of applied problems.
ON4. To draft and develop recommendations for the implementation of the research and numerical experiments in the production and financial industry using mathematical and computer simulation methods. Use probabilistic methods to solve actual problems of mechanics, physics, and economics.
ON5. To carry out an in-depth analysis of problems, to produce a substantiation of physical problems, to reveal their natural-scientific essence in the course of scientific and research activities, to apply the corresponding mathematical apparatus and a numerical algorithm to solve them.
ON6. Create mathematical models and apply numerical methods for solving problems of heat and mass transfer with a moving boundary, inverse and ill-posed problems of mathematical physics, biomedical processes, natural-physical processes, chemical processes, financial processes, atmospheric processes, dynamics of multiphase turbulent flows.
ON7. Analyze, design and conduct numerical experiments of constructed mathematical models of industrial, physico-technological, non-linear non-stationary physical, chemical, biomedical, financial processes. Reproduce numerical solutions of engineering problems of hydrodynamics on high-performance systems
ON8. Conduct scientific research in the field of mathematical modeling of heat and mass transfer phenomena, continuum dynamics, thermal and complex processes, mechanical processes, thermodynamic processes in gas dynamics, thermodynamic and electrical processes in solids, applied problems, problems of mathematical physics, and stability theory in economics and technology.
ON9. Apply mathematical and numerical apparatus to research in the field of financial mathematics, computational hydrodynamics, mechanics, turbulence modeling, physical, chemical, biomedical, nonlinear nonstationary physical processes and complex systems for solving applied problems.
ON10. To conduct educational and extracurricular work, have the skills of pedagogical activity. Conduct lectures, seminars and laboratory classes for undergraduate students on the profile of the specialty. To master and introduce new innovative technologies and approaches in the field of education in teaching practice.
ON11. Conduct research to use the results obtained in the framework of the implementation of interstate programs in the field of mathematical modeling, mathematics, biomedicine, physics, chemistry and mechanics. Participate in scientific seminars and conferences.
ON12. To work in a team, tolerantly perceiving social, ethnic, confessional and cultural differences, critically evaluate one’s activity, team one’s activities, outline ways and choose means for self-development, improvement of one’s qualifications.

Program passport

Speciality Name
Mathematical and Computer Modelling
Speciality Code
7M06106
Faculty
Mechanics and Mathematics

disciplines

Finite element method in applied problems
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the abilities of undergraduates: -describe the finite element method (FEM); -determine the order of approximation of the FEM, ways to improve it; build finite element schemes of higher approximation order; - solve 2D-3D boundary value problems using FEM; -know the algorithms for constructing finite element meshes; -use modern finite element software packages; - apply the basic methods for describing the calculation areas; -develop programs for the implementation of the FEM.

Foreign Language (professional)
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form practical skills in various types of speech activity in a foreign language. The training course builds the ability to perceive, understand and translate information in the modern global space, participate in scientific events to test their own research. The discipline is aimed at improving competencies in accordance with international standards of foreign language education.

History and Philosophy of Science
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form a holistic systemic understanding of philosophy as a special form of cognition of the world, its main sections, problems and methods of their study in the context of future professional activity. The training course forms the theoretical and methodological basis of research work.

Mathematical and computer modeling of chemical processes
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to know the principles of constructing mathematical models and methods of chemical-technological processes, types of reactors, methods for optimizing chemical-technological processes using empirical and / or physical and chemical models; have knowledge in the field of modeling, compilation and optimization of mathematical models, the use of modern mathematical software packages in modeling; formation of professional skills in data analysis and processing using modern information technologies.

Mathematical and computer modeling of medical and biological processes
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge in solving actual scientific and applied problems related to modeling processes occurring in living organisms and systems, processing and system analysis of experimental data, to form knowledge in the field of the theory of dynamic systems and nonlinear dynamics applied to the problems of physics of living systems.

Mathematical modeling in computer graphics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the ability to develop and apply the basic mathematical and graphical tools of computer graphics for their successful application in graphic programming; determine the criteria for the classification and organization of graphic systems and models; combine and effectively use various computer graphics tools to create graphics programs and program modules; synthesize, interpret and critically evaluate various types of graphic information.

Modern methods of computational fluid dynamics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Thepurpose of the discipline: to form students' ability to apply modern methods of numerical solution of hydrodynamic equations, practical application of the main stages of mathematical modeling of hydrodynamic processes, including the physical formulation of the problem, the choice of a mathematical model and the formulation of the initial-boundary-value problem, the construction of a network model, the choice and development of grid approximations, teach the construction of various algorithms for constructing finite difference and finite element meshes.. During the study of course, master students should be competent in: – applyingthe methods for the numerical solution of the Navier-Stokes equations in the case of an incompressible fluid on a spaced grid; – applying solutions to viscous compressible fluid; – building end-to-end counting schemes, explicit and implicit methods for solving initial equations; – applying the McCormack method, the Bima-Warming method, TVD schemes; – applying the high order schemes - ENO and WENO. During the study of the disciplines, master tudents will learn following aspects: methods for the numerical solution of the Navier-Stokes equations in the case of an incompressible fluid on a spaced grid. The solution methods for a viscous compressible fluid, hyperbolic systems, conservation laws, and problems of their solution are studied; cross-counting schemes, explicit and implicit methods for solving initial equations; McCormack method, Bim-Warming method, TVD schemes (monotonous reconstruction, slope limiters). High order methods. ENO and WENO.

Modern methods of mathematical modeling
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the skills of applying theoretical and practical aspects of modern modeling methods for solving problems of applied mathematics, skills of using mathematics packages corresponding to tasks, to form skills to interconnect modules implemented in math packages with software implemented using high-level programming languages (Python, Java). Modern mathematical packages will be studied that allow solving applied problems of natural science.

Modern technologies of parallel programming
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge on the technology of parallel programming in the environments OpenMP, MPI; have skills in setting up a computing cluster in Linux, Windows operating systems. Graduates will have in-depth knowledge of parallel computing, - to understand systems with massive parallelism; - work on computing clusters; - apply OpenMP, MPI technologies in Fortran, C++ programming languages.

Organization and Planning of Scientific Research (in English)
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline to form the ability to apply practical skills in the organization and planning of scientific research. The discipline studies: forms and methods of planning, organization and design of scientific articles and dissertations; forms of summarizing the results of scientific research in presentations, speeches, projects, articles.

Pedagogy of Higher Education
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability to teach in universities and colleges based on knowledge of higher school didactics, theory of education and management of education, analysis and self-assessment of teaching activities. The training course is aimed at studying the trends in the development of education and the Bologna process. The course will help you master teaching and curatorial skills, various strategies and methods of teaching and education.

Psychology of management
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to provide scientific training of highly qualified specialists based on the study of fundamental concepts of management psychology, creating prerequisites for a theoretical understanding and practical application of the most important aspects of the field of management in the process of professional formation. The course is aimed at studying the patterns of development and functioning of mental processes, the basics of effective interaction and conflict resolution, self-development and self-presentation.

Data for 2021-2024 years

disciplines

Computer modeling and vizualization in graphic packages
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge about various graphic packages for modeling and visualization; practical drawing techniques and types of drawings (construction, engineering, etc.). During the study, knowledge will be given on: tools and innovations of three-dimensional modeling in 3ds max; inverse kinematics and the Character Studio module; work with atmospheric effects; visualization in Mental Ray; work with global illumination; scripting language MAXScript.

Development and research of methods of modeling the behavior of complex processes
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline:: the formation of knowledge and skills in the creation and study of mathematical simulation models of complex processes and systems. Build Ability: -use theoretical and experimental research to model complex processes; - develop algorithms and software for managing complex processes based on research; - to generate the received scientific knowledge in own scientific research.

Development of mathematical models of control of multidimensional phase systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: the formation of knowledge about phase diagrams and their construction; theoretical and methodological basis for understanding multidimensional phase systems; studying the control of multidimensional phase systems and their characteristics, the development of mathematical models of control, to know the principles of constructing mathematical models; integration of acquired knowledge into research practice.

Direct methods for modeling turbulence problems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the ability to develop high-order accuracy methods for the numerical solution of a three-dimensional turbulent flow system; direct numerical simulation of three-dimensional transitional and developed turbulent flows; a detailed study of the mechanisms and evolution of transition and turbulent flows. During the study of course, master students should be competent in: - developing a class of stable difference schemes of high order of accuracy for the direct numerical solution of three-dimensional turbulent flow. - simulating various physical processes with different schemes of calculation of the coefficient of turbulence; - making a comparison of calculations using the proposed model with observational data$ - studying the structure and parameters of currents in the transition region and the region of developed turbulence, to obtain statistical characteristics of turbulence. - conducting detailed numerical studies of the structure and parameters of three-dimensional transient and turbulent flows, as well as the stages of the turbulent flow evolution: vortex formation and associated oscillations of gas-dynamic parameters, interaction of vortices in the flow, their dissipation and transition to the developed turbulent flow. During the study of the discipline, master students will learn following aspects: construction of a mathematical model for various physical processes; the correct choice of the algorithm of parametrization of turbulent exchange; construction of difference schemes and algorithms for solving problems; construction of flowcharts for numerical algorithm and program code; analysis of the results of numerical simulation of various turbulent flows.

Elements of the theory of sustainability in economics and technology
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge in the theory of sustainability of the problems of ensuring the sustainable development of economic systems. During the study, develop the ability to: - describe basic concepts and methods of stability theory - to study solutions for stability in the sense of Lyapunov and for asymptotic stability in terms of linear approximation of solutions of differential and difference equations, - be able to depict phase portraits of a linearized system of the second order.

Finite element method in applied problems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the knowledge of the finite element method (FEM) and the development of skills for its practical application. During the study of course, master students should be competent in: - describing modern grid methods, - describing the finite element method (FEM); - describing the procedure for the approximation of the FEM, methods for its improvement; - solving two-dimensional and three-dimensional boundary-value problems using FEM; - describing the FEM data structures; - describing methods and algorithms for constructing finite element meshes; - using the basic principles of constructing modern finite element packages; - applying the basic methods of describing the design areas; - developing programs for the implementation of the FEM; - building finite element schemes of a higher approximation order. During the study of the discipline, master students will learn following aspects: various theoretical and practical aspects of FEM that will contribute to the development of skills for solving applied problems in various fields of the national economy: from the study of hydro and aerodynamics, soil seismic, physics problems, etc. to strength calculations of various structures and structures. The FEM is based on the discretization of an object, and its efficiency is especially obvious for problems with a complex configuration of the object under study and boundary conditions.

Formal methods of software development
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the student a set of knowledge and skills related to the design and development of industrial software; the study of existing design methods and the current regulatory framework; the development of modern technologies for the development and implementation of software projects, as well as the fundamentals of project management.

High performance computing technologies
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge about the basic architectural concepts for building high-performance information processing tools; macrostructures of large-scale distributed computing systems (VS); methodology for developing parallel programs, methods for evaluating the effectiveness of parallel algorithms and the maximum achievable parallelism on the target computing architecture of functional structures and industrial implementations of high-performance computing systems.

Mathematical and computer modeling of chemical processes
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline:is to improve the professional training of the student in the field of modeling of chemical and technological processes, includes master degree students knowledge in the field of modeling, compiling and optimizing mathematical models, using modern mathematical software packages in modeling; formation of professional skills in modeling chemical and technological processes, in the analysis and processing of data using modern information technologies. During the study of course, master students should be competent in: - building mathematical models of the systems under study; - carrying out analytical research and optimization of the developed mathematical model; - realizing the developed mathematical models in computer form; - applying the methods of computational mathematics to solve specific problems of the processes of chemical technology; - knowing methods of constructing a mathematical model of typical professional problems and a meaningful interpretation of the results obtained; - using packages of applied programs for modeling of chemical and technological processes. During the study of the discipline master students will learn following aspects: The course is designed to expand the knowledge of basic concepts, techniques and methods of mathematical and computer modeling, consideration of modern technologies for constructing and researching mathematical models for chemical-technological processes. The course discusses the principles of the formation of mathematical models, methods for constructing physico-chemical models of chemical-technological processes, types of reactors and chemical-technological processes, methods for optimizing chemical-technological processes using empirical and / or physico-chemical models.

Mathematical and computer modeling of medical and biological processes
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge in solving actual scientific and applied problems related to modeling processes occurring in living organisms and systems, processing and system analysis of experimental data, in the field of the theory of dynamical systems and nonlinear dynamics in application to the problems of physics of living systems.

Mathematical and computer modeling of meteorological problems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The goal is to develop skills in solving problems of atmospheric processes based on the integration of a system of hydrothermodynamic equations for the purpose of short-term and medium-term weather prediction, developing the ability to independently solve theoretical and applied problems in the field of hydrodynamic modeling of natural processes using modern computational methods and devices.

Mathematical and Computer Modeling of Unsteady Nonlinear Physical Processes
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to develop skills for solving problems of studying non-stationary nonlinear physical processes by mathematical methods. In the course of studying the course, to form the abilities of undergraduates: – to make mathematical models of complex non-stationary nonlinear physical processes; – use numerical methods for the implementation of mathematical models of non-stationary nonlinear physical processes; - write a program code for the constructed mathematical model; – build a graph and analyze the results.

Mathematical modeling of thermophysical processes in multilayer environments
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: is the development and research of a complex of mathematical models for solving heat and mass transfer problems in automatic process control facilities, developing control systems for thermophysical processes in such conditions for obtaining high-quality, reliable products from composite materials and developing recommendations for improving technology.

Mathematical models of the theory of elasticity
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: formation the ability to correctly build mathematical models and algorithms for the study of dynamic processes in deformable solids and media. Acquaintance with physico-mathematical models of deformable solids, methods for solving model boundary-value problems, with the basics of conducting various numerical experiments to study the dynamics of mechanical properties, and features of computer technology. During the study of course, master students should be competent in: - studying the concepts of deformations of the continuum, measures and stress tensors, their properties, concepts of geometrically linear and non-linear approaches; - deriving stress tensors, moment voltages, - knowing the basics of nonequilibrium thermodynamics of the continuum, the concepts of material stability and design; - applying the basic concepts of nonlinear mechanics of continuous media for the formulation of mathematical formulation of problems in research and development activities. - analyzing the mathematical statement made, to linearize the task, to record the initial and boundary conditions; During the study of the discipline, master students will learn following aspects: Models for the study of dynamic processes in deformable solids and media. Physical and mathematical models of deformable solids, methods for solving model boundary value problems. The concepts of deformations of the continuum, measures and strain tensors, their properties, the basics of the thermodynamics of the continuum, the concepts of material stability and design.

Methods for solving inverse and ill-posed problems of mathematical physics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline: formation of undergraduates core competencies based on in-depth study of research methods and inverse ill-posed problems. During the study of the discipline, master students will learn following aspects: familiarity with the concept of students and research methods of inverse and ill-posed problems, the development of complex mathematical apparatus of ownership and the formation of skills and abilities to self-intensive research and scientific and exploration activities.

Methods of generalized functions and boundary integral equations in theproblems of thedynamics of elastic structure
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: is the formation of students: to formation of the knowledge from the theory of generalized functions necessary to solve problems of the dynamics of elastic media. The statements of nonstationary boundary value problems for second-order differential equations are considered. Acquaintance with the construction of dynamic analogs of the Green and Gauss formulas in the space of generalized functions, obtaining their integral representations. During the study of course, master students should be competent in: – using the main types of special functions, their integral representations, asymptotics for solving problems of mathematical physics, –applying the theory of generalized functions to the solution of applied problems of mathematics and programming. – applying into practice the methods and techniques for solving the problems of the theory of elasticity, the theory of plasticity using different criteria of plastic flow; – using the laws of nonequilibrium thermodynamics of a continuous medium for the formulation and study of the problem statements of continuum mechanics; – knowing the practical techniques and methods of solving problems of mechanics of continuous media. During the study of the discipline students will learn following aspects: Boundary value problems for differential equations of the 2nd order. Construction of dynamic analogs of the Green and Gauss formulas in the space of generalized functions, obtaining their integral representations. Fundamentals of the integral Fourier and Laplace transforms in the space of generalized functions and methods for constructing solutions of partial differential equations. Generalized functions of one variable, operations with them. Generalized functions of many variables, operations with them.

Modeling of heat and mass transfer processes in electrical contacts
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge in the field of the theory of boundary value problems for parabolic equations describing the processes of heat and mass transfer in bodies with variable cross sections. On the basis of the solution of the spatial problem of the Stefanov type, a mathematical model describing the processes of melting and welding of electrical contacts with through currents is presented. During the study of course, master students should be competent in: – understanding the processes describing heat and mass transfer in bodies with variable cross-section, – knowing the basics of the processes of melting and welding of electrical contacts with through currents – substantiating and choosing suitable methods for solving problems of heat and mass transfer in electrical contacts, – analyzing the mathematical statement made, to linearize the task, to record the initial and boundary conditions; – mastering practical techniques and methods for solving problems of continuum mechanics. During the study of the discipline, master students will learn following aspects: the theory of boundary value problems for parabolic equations describing the processes of heat and mass transfer in bodies with variable cross sections. A mathematical model based on the solution of a spatial problem of the Stefanov type, describing the processes of melting and welding of electrical contacts with through currents.

Modeling of the Gas Dynamics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: the formation of students' knowledge in the areas of theoretical and applied gas dynamics. The course examines the elements of thermodynamics, the equations of state of perfect and real gases, the laws of conservation and the ratio on strong discontinuities, the ratio of parameters on an oblique jump, the change in entropy. The method of characteristics for the equations of gas dynamics, one-dimensional unsteady gas flow.

Modeling of the physical processes in the heterogeneous environments
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge with the current state of the theory of single-phase and multi-phase flows. The basics of classification of two-phase flows are presented. The strategy of building a generalized mathematical model of multiphase flows using the Eulerian and Lagrangian approaches is described. Models of specific problems of the dynamics of multiphase media with phase transitions are shown. Derivation of the equations of motion and energy of a heterogeneous medium with phase transitions.

Modeling of the Turbulent Flows
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: the formation of undergraduates' knowledge about the methods of modeling turbulent flows. Problems of closure of the Reynolds-averaged Navier–Stokes equations. Concepts of Reynolds stresses and turbulent viscosity. The main turbulence models will be shown, in particular, models with one turbulence energy balance equation, two-parameter models, models with equations for the transfer of the Reynolds stress tensor components.

Modeling the stability of a deformable systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the ability of undergraduates: - demonstrate a systematic understanding of the process of modeling the stability of deformable systems; - critically evaluate the choice of criteria for static and dynamic stability of systems in relation to deformable media; - choose the methodology for analyzing the stability of deformable systems and methods for solving; - correct the process of solving and visualizing the stability of the systems under study using modern application packages

Monte-Carlo methods and their applications
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: formation of understanding of Monte Carlo methods and their applications. During the study of course, master students should be competent in: - describe the mathematical formulation of the main problems solved by Monte Carlo methods. - explain the correctness of the mathematical formulation of the main problems of physics, chemistry, technology, biology. - to justify the algorithms of Monte Carlo methods for solving the main tasks of physics, chemistry, engineering, biology. - develop and analyze algorithms of Monte Carlo methods for solving basic problems. - solve on PC, analyze, explain the results. During the study of the discipline, master students will learn following aspects: Mathematical statements of the main problems solved by Monte Carlo methods. Correctness of mathematical formulation of the basic problems of physics, chemistry, engineering, biology. Algorithms of Monte Carlo methods for solving the main tasks of physics, chemistry, engineering, biology. Development and analysis of algorithms of Monte Carlo methods for solving basic problems. The decision on a PC, to analyze, to explain the results.

Numerical methods for solution of the Navier-Stokes Equations
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form knowledge about the problems of the numerical solution of the Navier-Stokes equations. Methods for the numerical solution of the Navier-Stokes equations in the case of an incompressible fluid on a spaced grid will be shown. The methods for solution the variables in the function - vorticity parameters are shown. The solution methods for a viscous compressible fluid are studied, in particular, the McCormack method, the Bima-Warming method, the Godunov method, the TVD scheme During the study of course, master students should be competent in: – deriving the Navier-Stokes equations of a viscous compressible flow, to made dimensionless the parameters characterizing the motion of a viscous fluid. – creating a mathematical model of hydrodynamic processes, including the physical formulation of the problem, –formulating initial-boundary problems. – demonstrating knowledge of the basic finite difference, finite element and finite volume approaches to solving boundary value problems for the Navier-Stokes equations. – mading the program of the constructed numerical schemes for solving problems of hydrodynamics, to obtain results and to be able to interpret the mechanisms of the physical process. During the study of the discipline master students will learn following aspects: derivation of the Navier-Stokes equations, conservation laws, and basic hypotheses. Problems of numerical solution of equations. Numerical methods for solution of the Navier-Stokes equations in the case of incompressible fluid. The methods for solution the variables in the function - vorticity parameters are shown. Solutions for viscous compressible fluid, Mac-Cormac method, Bima-Warming method, Godunov method, TVD schemes, explicit implicit integration methods.

The turbulent flows, principles and applications
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form students' basic knowledge of the theory of turbulence and its principles. The concepts of turbulence are given, methods for describing the structures of turbulent flows are described. The basic principles of the Kolmogorov theory of developed homogeneous isotropic turbulence are given, in particular, concepts of the scale of turbulence, the spectrum of turbulent pulsations are given, the essence of the energy-containing and dissipative region of wave numbers.

Theory of Generalized and Special Functions
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline:to introduce students to the mathematical apparatus of the theory of generalized functions and various operations on them. Outlines the basics of the theory of generalized functions and operations on them. It also presents the basics of integral Fourier and Laplace transforms in the space of generalized functions and methods for constructing solutions of partial differential equations.

Data for 2021-2024 years

INTERNSHIPS

Pedagogical
  • Type of control - Защита практики
  • Description - Formation of practical, educational-methodical skills of conducting lectures, seminars, creatively apply scientific, theoretical knowledge, practical skills in teaching activities, conduct training sessions in the disciplines of the specialty; own modern professional techniques, methods of training, use in practice the latest theoretical, methodological advances, make educational, methodological documentation.

Research
  • Type of control - Защита практики
  • Description - The purpose of the practice: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.

Data for 2021-2024 years