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Skills for the mathematical engineers

Skills for the mathematical engineers

Course Materials - General Numerical Methods

Skills for the mathematical engineers

Course Information

Course Skills for the mathematical engineers Code MMUK1106
Directions 70540202 – Mathematical Engineering (Master) Semester 1
Type of subject Compulsory Taught Language English
Lectures 30 Practical Lessons 46
Subject Teacher Umid Karimov Independent Work 104
Total Hours 180 Credits 6

Lectures

Code Topic Material
L1 Introduction to Mathematical Engineering and PDEs. Download
L2 Classifying PDEs Elliptic, Parabolic and Hyperbolic. Download
L3 Introduction to first-order PDEs. Method of characteristics and solutions. Download
L4 Solving second-order linear PDEs. Separation of variables method. Download
L5 Explanation of boundary conditions and initial conditions. Download
L6 Introduction to Fourier series and Fourier transforms. Download
L7 Overview of finite difference methods. Download
L8 Solving the heat equation using numerical methods. Download
L9 Finite difference and finite element approaches for elliptic PDEs. Download
L10 Numerical methods for solving hyperbolic PDEs. Download
L11 Norms and Banach Spaces. Hilbert Spaces. Download
L12 Bilinear forms and the Lax-Milgram Theorem. Download
L13 Distributions and Sobolev Spaces. Download
L14 Compactness and Embeddings. Download
L15 Green’s identities. Download

Practical Lessons

Code Topic Material
S1 Real-Life Motivation: PDEs in Engineering. Download
S2 Hands-on Classification of PDEs: Elliptic, Parabolic, Hyperbolic. Download
S3 Method of Characteristics – worked examples. Download
S4 Numerical implementation of MoC in MATLAB. Download
S5 Separation of variables for heat and wave equations. Download
S6 Numerical experiments with separation of variables. Download
S7 Dirichlet, Neumann and Robin boundary conditions. Download
S8 Applying initial/boundary conditions in FD schemes. Download
S9 Computing Fourier expansions of periodic functions. Download
S10 Fourier series approximation and PDE solving. Download
S11 Explicit and implicit schemes for 1D PDEs. Download
S12 Coding finite difference schemes. Download
S13 Stability analysis of numerical schemes. Download
S14 Programming heat equation solvers. Download
S15 Finite difference stencils on paper. Download
S16 Laplace and Poisson solvers (Jacobi, Gauss–Seidel). Download
S17 Finite difference schemes for the wave equation. Download
S18 Wave equation solvers in MATLAB/Python. Download
S19 Norms, inner products, orthogonality. Download
S20 Variational problems and Lax–Milgram theorem. Download
S21 Weak formulations and Galerkin discretization. Download
S22 Embedding theorems and compactness. Download
S23 Green’s identities and weak formulations. Download