Inhalt

[ 404MAMCCMMV23 ] VL Computational Modeling in Medicine and Life Science

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mathematics Luca Gerardo-Giorda 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computational Mathematics 2025W
Learning Outcomes
Competences
Students will learn how to model and simulate patient-specific biomedical problems based on differential equations.
Skills Knowledge
  • Numerical solution of the relevant Partial Differential Equations
  • Reconstruction of a computational domain from medical imaging (Slicer3d)
  • Generation of a computational mesh from the reconstructed geometry
  • Identification and tagging of boundaries and subdomains
  • Implementation of the numerical solver in High Performance Computing environment
  • Postprocessing and visualization of the results
Navier-Stokes equations for hemodynamics; Fluid-Structure Interaction models: Lagrangian, Eulerian and Arbitrary Lagrangian-Eulerian (ALE) formulation; Treatment of defective boundary conditions; Monodomain and Bidomain model for electrocardiology; Acquaintance with the necessary softwares (Slicer3d for geometry reconstruction, Salome for mesh generation, FEniCS-x for HPC simulation).
Criteria for evaluation
Language English
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Direct assignment