Computational Science in Engineering

Computational Science in Engineering by Indian Institute of Technology Kanpur

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Created by IIT Kanpur Staff Last updated Sat, 05-Mar-2022 English


Computational Science in Engineering free videos and free material uploaded by IIT Kanpur Staff .

Syllabus / What will i learn?

Week 1:Linear Algebra: Introduction to Vectors, Vector spaces and subspaces, Solving Linear systems

Week 2:Linear Algebra: Orthogonality, Determinants, Eigenvalues & Eigen vectors, SVD

Week 3:Ordinary Differential Equations: ODE, homogeneous and non-homogeneous ODEs, second order linear ODE, higher order ODEs

Week 4:Solution of Higher Order ODEs, Fourier Analysis, Fourier Integrals, Laplace Transforms
Week 5:Partial Differential Equations: Classification, 1D & 2D equations, BC, 2nd order PDEs

Week 6:Basis of numerical analysis, errors, stability, Interpolation and extrapolation

Week 7:System of linear algebraic equations and eigenvalue problems: Direct methods, Iterative methods, convergence analysis, Eigenvalues and Eigenvectors, bounds on eigenvalues, Methods for symmetric matrices and arbitrary matrices

Week 8:Solution of ODEs: Difference equation, Numerical methods, convergence, stability, Single step and multistep methods, Predictor-corrector methods, stability analysis of multistep methods, IVP (shooting methods), BVP (methods and solutions)



Curriculum for this course
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Description

The Computational Science in Engineering is a rapidly evolving field that exploits the power of computation as an approach to major challenges on the frontiers of natural and social science and all engineering fields. The primary focus lies on developing problem-solving methodologies and robust tools for numerical simulation. The goal is to present the fundamentals of scientific computing, with short codes to implement the key concepts. This includes a framework for applied mathematics such as Linear Algebra, ODEs and PDEs. To understand phenomena and processes from science and engineering, these simulations require advanced skills in mathematical modelling, numerical analysis, efficient algorithms, computer architecture, software design and implementation, validation, and visualization of results.

INTENDED AUDIENCE :Freshman/Sophomore undergraduate students and postgraduate students of Aerospace/Mechanical/Chemical/Civil Engineering

PREREQUISITES : Basics of Mathematics and programming

INDUSTRIES SUPPORT :Aerospace, Automobile, Chemical and Power Generation and Defense Industries

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