Entry requirements

120 credits where vector analysis, linear algebra, Computer programming II and Scientific Computing III or the equivalent must be covered.

Learning outcomes

After the course, the student should be able to

• identify suitable mathematical models that describe an engineering or scientific problem,
• identify suitable numerical methods to compute the solutions to mathematical models,
• choose suitable software tools to solve a problem, given a mathematical model and numerical method,
• handle advanced software, pre- and post-processing,
• evaluate numerical results,
• interpret computed results in the context of the application.

Content

The course contains different moments which are essential when practically working with scientific computing in engineering and research. The contents is closely coupled to different application areas such as fluid dynamics, structural mechanics, physics, chemistry and biology. The content include grid generation and interface to computer aided design (CAD), practical aspects of finite element methods (FEM) and finite volume methods (FVM), choice of the mathematical model and adjustment of the model, visualisation and post-processing. The course contains general parts, which all participants take, as well as a number of eligible modules. Thus, the course can in part be individually adjusted. Examples of modules are Computational fluid dynamics, Computational structural dynamics, Molecular dynamics.

Instruction

Lectures, laboratory work and assignments.