The ranking contains 250 courses from 100 universities based on 170,000+ learner reviews.
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Indian Institute of Technology, Kharagpur
Computational Fluid Dynamics by Prof. Suman Chakraborty.Lecture 1 : Introduction to CFD.Lecture 2 : Classification of partial differential equations.Lecture 3 : Examples of partial differential equations.Lecture 4 : Examples of partial differential equations (contd.).Lecture 5 : Nature of the charateristics of partial differential equation.Lecture 6 : Euler-Lagrangian equation.Lecture 7 : Approximate Solutions of Differential Equations.Lecture 8 : Variational formulation.Lecture 9 : Example of variational formulation and introduction to weighted residual method.Lecture 10 : Weighted Residual Method.Lecture 11 : Point Collocation method, the Galerkin's method & the 'M' form.Lecture 12 : Finite element method (FEM) of discretization.Lecture 13 : Finite element method of discretization (contd.).Lecture 14 : Finite difference method (FDM) of discretization.Lecture 15 : Well posed boundary value problem.Lecture 16 : Finite volume method (FVM) of discretization.Lecture 17 : Illustrative examples of finite volume method.Lecture 18 : Illustrative examples of finite volume method (contd.).Lecture 19 : Basic rules of finite volume discretization.Lecture 20 : Implementaion of boundary conditions in FVM.Lecture 21 : Implementation of boundary conditions in FVM (contd.).Lecture 22 : 1-D Unsteady state diffusion problem.Lecture 23 : 1-D Unsteady state diffusion problem (contd.).Lecture 24 : Consequences of Discretization of Unsteady State Problems.Lecture 25 : FTCS scheme.Lecture 26 : CTCS scheme (Leap frog scheme) & Dufort-Frankel scheme.Lecture 27 : FV Discretization of 2-D Unsteady State Diffusion.Lecture 28 : Solution to linear algebraic equations (contd.).Lecture 29 : Elemination methods.Lecture 30 : Gaussian elemination and LU Decomposition methods.Lecture 31 : Illustrative example of elemination method.Lecture 32 : Tri-Diagonal Matrix Algorithm (TDMA).Lecture 33 : Elimination Methods: Error Analysis.Lecture 34 : Elimination Methods: Error Analysis (Contd.).Lecture 35 : Iteration methods.Lecture 36 : Generalized analysis of Iteration method.Lecture 37 : Further discussion on Iterative methods.Lecture 38 : Illustrative examples of Iterative methods.Lecture 39 : Gradient Search based methods.Lecture 40 : Steepest descent method (contd.).Lecture 41 : Conjugate gradient method.Lecture 42 : Convection diffiusion equation.Lecture 43 : Central difference scheme applied to convection-diffusion equation.Lecture 44 : Upwind scheme.Lecture 45 : Illustrative examples.Lecture 46 : Exact solution of 1-D steady state convection diffusion equation (contd.).Lecture 47 : Exponential scheme.Lecture 48 : Generalized convection diffusion formulation.Lecture 49 : 2-D convection diffusion problem.Lecture 50 : False (numerical) diffusion scheme and the QUICK scheme.Lecture 51 : Discretization of Navier Stokes Equation.Lecture 52 : Discretization of Navier Stokes Equation (Contd.).Lecture 53 : Concept of Staggered Grid.Lecture 54 : SIMPLE Algorithm.Lecture 55 : Salient Features of SIMPLE Algorithm.mod12lec56.mod12lec57.mod12lec58.mod12lec59.mod12lec60.
IIT Kharagpur July 2018
Start your review of Computational Fluid Dynamics
Get personalized course recommendations, track subjects and courses with reminders, and more.