Objectives of the course

• Good knowledge of the Computational Methods and the related most important algorithms
• Comprehension of the application of major algorithms in computational methods
• Ability to apply computational methods to engineering problems
• Comprehension of linear and nonlinear computational methods
• Ability to check and to interpret computational results

Recommended preliminary requirements

• Basic knowledge of mathematics such as ordinary and partial differential equations, and basic vector analysis
• Basic knowledge of computer programming
• Linear algebra: Vectors and matrices; addition and multiplication; transformation; determinant; symmetry; systems of linear equations; linear eigenproblem; eigensolution, characteristic polynom; eigenvalue; eigenvector; symmetry of linear equations systems and linear Eigenproblems
• Basics in vector field analysis: basics in vector analysis; vector field; gradient, divergence and vorticity; nabla operator

• Lecturer: Detlev Maurer