Hochschule Düsseldorf
University of Applied Sciences
Fachbereich Maschinenbau & Verfahrenstechnik
Faculty of Mechanical and Process Engineering

 

Basic Module - MSc PROgrammes

Course Convenor:     Prof. Dr.-Ing. habil. Martin Ruess

Content

Linear & non-linear systems of equations (properties, numerical solution method, complexity ,algorithmic aspects); the engineering eigenvalue problem (algebraic properties, solution strategies, numerical solution methods and algorithmic aspects); Numerical algorithms (numerical interpolation, numerical differentiation, numerical integration in 1D, 2D and 3D); Algebra of relations (Boolean algebra, transitive closure), Graph theory (types of graphs and applications); Paths in networks (path algebra, weighted graphs)


Competences / Learning Outcomes

The participants have

  • a solid understanding of and scientific insight to the mathematical foundations of computational engineering, including numerical and algorithmic aspects of modern software tools.
  • the ability to
    • derive and extend basic numerical algorithms
    • implement, test and apply algorithms and numerical solution schemes in the context of engineering problems
    • identify, characterize and assess the computational performance of algorithmic & numerical problems

The participants are familiar with

  • the basic mathematics of computational methods
  • modeling issues and error sources of the computational models
  • the basic aspects of verification, validation and error control


Prerequisites

Solid Programming Skills (Matlab|Java|C++), Foundations of Engineering Mathematics and Mechanics