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Advanced Computational Fluid and Plasma Dynamics
Theme: [unknown]
Organization logo: Eindhoven University of Technology

About this course

The course provides an introduction to advanced computational methods useful to investigate fluid and plasma flows and their dynamics from the micro- to the macro-scales, under laminar and turbulent flow regime. The course presents an overview of several key complementary computational methods.

  • Lattice Boltzmann Method (LBM);
  • (pseudo)-spectral methods;
  • Particle based methods (Molecular Dynamics, Brownian and Stokesian dynamics);
  • Finite volume methods;
  • Particle-in-cell Monte Carlo (PIC-MC).

Expected learning outcomes

After successfully completing this course, the student can:

  • Explain the different numerical methods: PBM, LBM, PS and FV.

  • Choose which numerical method is best for a given flow/plasma problem.

  • Develop and apply numerical methods to simple flow/plasma problems.

  • Reflect on and evaluate the correctness and accuracy of the methods.

Examination

Class and homework) on mandatory assignment(s) (written reports) - 60% of the final result; Individual assignment (written report) - 40% of the final result; In case of missing written reports an oral examination is foreseen. (NB: Composition of the tests may be changed) 

Course requirements

Experience with programming is highly advisable. Without such experience, the course can be followed, but will take more effort than is represented by 5 EC

Activities

lectures homework groupwork

More information

https://tueacc.osiris-student.nl/onderwijscatalogus/extern/cursus?cursusid=1640105&taal=nl
  • Local course code
    3MT120
  • Study load
    ECTS 5
  • Level
    master
  • Contact hours per week
    8
  • Instructors
    Alexey Lyulin, Federico Toschi, Herman Clercx, Jan ten Thije Boonkkamp, Jan van Dijk
  • Mode of delivery
    Online - at a specific time
  • Course coordinator
If anything remains unclear, please check FAQ page.
  • Start date

    3 February 2025

    • End date
      6 April 2025
    • Main language
      English
    • Apply between
      15 Nov and 5 Jan 2025
    • Time info
      Monday 17:30 - 19:30, Tuesday 13:30 - 17:30, Thursday 08:45 - 12:45
    Apply now