Objectives of the course

• Understanding concepts and results of advanced engineering mathematics and the ability to apply them to engineering problems
• Grasp of matrices, tensors, integral theorems, Fourier series, partial differential equations and basics of probability and statistics
• Understanding optimization concepts
• Ability to apply optimization methods in a given environment, e.g., FEM
• Selection of 'best' optimization tool

Recommended preliminary requirements

• Basic knowledge of linear algebra, calculus and numerical analysis, i.e., vectors and matrices; inner products; systems of linear equations; derivatives of real-valued functions; line, surface and volume integrals; permutations and combinations

• Lecturer: Klaus Schittkowski
• Lecturer: Hans von Koch