Applied Scientific Computing

5 credits

Syllabus, Master's level, 1TD248

Code
1TD248
Education cycle
Second cycle
Main field(s) of study and in-depth level
Computational Science A1F, Computer Science A1F, Technology A1N
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 3 June 2014
Responsible department
Department of Information Technology

Entry requirements

120 credits of which vector analysis, linear algebra, Computer programming II and Scientific Computing III or the equivalent is included.

Learning outcomes

After the course, the student should be able to

  • describe how 3D geometry is represented and how computational meshes are generated in a computer,
  • describe, propose and argue for suitable mathematical models in fluid mechanics,
  • describe, propose and argue for suitable numerical methods to compute the solutions to these mathematical models,
  • choose suitable software tools to solve these problems,
  • generate computational meshes and handle advanced software, pre and post processing,
  • evaluate simulation results based on the mathematical and numerical theory and identify possible shortcomings in the results,
  • interpret computed solutions.

Content

The contents are related to the area of computational fluid dynamics. The contents include mesh generation and interfaces to computer aided design (CAD), practical aspects of finite element methods (FEM) and finite volume methods (FVM) in the computational fluid dynamics area, choice of mathematical models, such as turbulence models. Solution to systems of nonlinear equations, visualisation and post-processing.

Instruction

Lectures, laboratory work and assignments.

Assessment

Written exam (2 credits) and assignments (3 credits).

No reading list found.

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