Computational Engineering 1
Programkurs, 7,5 credit points, Spr-10
Description
Contents
This course focuses on one-dimensional problems and gives an introduction and the fundamental theory and skills needed for the continuation course Computational Engineering 2.The topics covered are described by the keywords below:
Numerical Solution of Ordinary Differential Equations, Initial Value Problems, The Euler Method, The Modified Euler Method, The Trapezoidal Method, The Midpoint Method, Richardson Extrapolation, Runge-Kutta Methods, Multi-step Methods, Systems of Ordinary Differential Equations, Boundary Value Problems, The Shooting Method, The Finite Difference Method, Weighted Residual Methods, The Finite Element Method, One-dimensional Element Types, Shape Functions and Weight Functions,Transient Problems, Time Marching Schemes, Explicit Integration, Implicit Integration, Nonlinear Problems, Algorithms and Programming, Errors and Convergency, Commercial Computation Software, Fluid Lubrication Theory, Lubricant Characteristics, Environmental Aspects of Lubricants, Heat Transfer Theory, Solid Mechanics Theory, Nondimensional Quantities.
