066 393 Master programme Mathematical Modelling in Engineering: Theory, Numerics, Applications

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2021W-2022S (2018U)

TitlePrecon.HoursECTS
Master programme Mathematical Modelling in Engineering: Theory, Numerics, Applications
Erasmus-Mundus Joint Masterstudium
120.0
Computer Programming and Parallel Computing
Module Computer programming and parallel computing
6.08.0
VU Scientific Programming for Interdisciplinary Mathematics
4.05.0
VU Parallel Programming for Interdisciplinary Mathematics
2.03.0
Numerical Methods for Ordinary Differential Equations
Module Numerical Methods for Ordinary Differential Equations
6.0
VO AKNUM Numerical methods for ODEs
3.04.0
UE AKNUM Numerical methods for ODEs
1.52.0
Numerical Methods for Partial Differential Equations
Module Numerical Methods for Partial Differential Equations
7.0
VO AKNUM Numerical methods for PDEs
3.04.0
UE AKNUM Numerical methods for PDEs
2.03.0
Elective Module A
Module Numerical optimisation
6.0
VO AKNUM, AKOR Numerical optimisation
3.04.5
UE AKNUM, AKOR Numerical optimisation
1.01.5
Module Iterative solution of large systems
6.0
VO Iterative solution of large systems
3.04.5
UE Iterative solution of large systems
1.01.5
Module Stationary processes and time series analysis
6.0
VO Stationary processes and time series analysis
3.04.5
UE Stationary processes and time series analysis
1.01.5
German
Module German
3.0
VU German A1
If students have already reached the A1-level in German, this module may be replaced by any courses of choice (Freie Wahlfächer) in the amount of 4 ECTS.
4.0
Continuum and Kinetic Modelling with PDEs
Module Continuum and kinetic modeling with PDEs
6.0
VO Modeling with PDEs
3.04.5
UE Modeling with PDEs
1.01.5
Computational Fluid Dynamics
Module Computational fluid dynamics
5.0
VO Numerical methods in fluid dynamics
2.03.0
UE Numerical methods in fluid dynamics
2.02.0
CFD Codes and Turbulent Flows
Module CFD-codes and turbulent flows
6.0
UE Calculating turbulent flows with CFD-codes
2.03.0
VO Hydrodynamic stability and transition to turbulence
2.03.0
Elective Module B
Module Numerical simulation and scientific computing
6.0
VU Module Numerical simulation and scientific computing I
3.06.0
360.242 VU 2021W
Numerical Simulation and Scientific Computing I   Distance Learning
Distance Learning: Course is held predominantly online
3.06.0
Module Multi-Physics
6.0
VU Finite element methods for multi-physics I
3.04.0
LU Applied Fluid Mechanics Laboratory
2.02.5
Module High Performance Computing
6.0
VO Introduction to Python for Interdisciplinary Mathematics
1.01.5
105.736 VO 2021W
Introduction to Python for Interdisciplinary Mathematics   Distance Learning
Distance Learning: Course is held predominantly online
canceled
1.01.5
VU High Performance Computing
3.04.5
Elective Module C
Module Continuum models in semiconductor theory
7.0
VU Introduction to semiconductor physics and devices
3.04.0
360.241 VU 2021W
Introduction to Semiconductor Physics and Devices   Distance Learning
Distance Learning: Course is held predominantly online
3.04.0
VO Theory, modeling and simulation of MEMS & NEMS
2.03.0
Module Stochastic analysis
7.0
VO Stochastic analysis in financial and actuarial mathematics 1
3.05.0
105.653 VO 2021W
Stochastic analysis in financial and actuarial mathematics 1   Distance Learning
Distance Learning: Course is held predominantly online
3.05.0
UE Stochastic analysis in financial and actuarial mathematics 1
1.02.0
1.02.0
Diploma thesis and final exam
30.0
Thesis Diploma thesis
27.0
Final exam Final board exam
3.0
Responsible dean of academic affairs
For questions regarding the curriculum please contact the responsible dean of academic affairs.

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Courses belong to the introductory and orientation phase ("Studieneingangs- und Orientierungsphase")
Courses belong to the introductory interview ("Studieneingangsgespräch")
Courses require the completion of the introductory and orientation phase
Courses require the completion of the introductory interview STEG
Distance Learning
Distance Learning: Course is held predominantly online