066 393 Master programme Interdisciplinary Mathematics

  • Show all courses of the academic year of which the selected semester is part of.

2022W-2023S (2021U)

4. Semester

TitlePrecon.HoursECTS
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.
2.03.0
060.020 VU 2023S
German A1/1
2.03.0

Without semester recommendation

TitlePrecon.HoursECTS
VU Scientific Programming for Interdisciplinary Mathematics
4.05.0
101.944 VU 2023S
Scientific Programming for Interdisciplinary Mathematics
4.05.0
VU Parallel Programming for Interdisciplinary Mathematics
2.03.0
057.033 VU 2023S
Parallel Programming for Interdisciplinary Mathematics
2.03.0
VO AKNUM Numerical methods for ODEs für Interdisciplinary Mathematics
3.04.0
101.961 VO 2023S
AKNUM Numerical methods for ODEs for Interdisciplinary Mathematics
3.04.0
UE AKNUM Numerical methods for ODEs für Interdisciplinary Mathematics
1.52.0
101.962 UE 2023S
AKNUM Numerical methods for ODEs for Interdisciplinary Mathematics
1.52.0
VO AKNUM Numerical methods for PDEs
3.04.0
101.773 VO 2023S
Numerical methods for PDEs
3.04.0
UE AKNUM Numerical methods for PDEs
2.03.0
101.775 UE 2023S
Numerical methods for PDEs
2.03.0
VO AKNUM AKOR Numerical optimisation
3.04.5
101.941 VO 2023S
AKNUM, AKOR Numerical optimisation
3.04.5
UE AKNUM AKOR Numerical optimisation
1.01.5
101.942 UE 2023S
AKNUM, AKOR Numerical optimisation
1.01.5
VO Iterative solution of large systems
3.04.5
101.770 VO 2023S
AKNUM Iterative solution of large systems of equations
3.04.5
UE Iterative solution of large systems
1.01.5
101.771 UE 2023S
AKNUM Iterative solution of large systems of equations
1.01.5
VO Stationary processes and time series analysis
3.04.5
105.143 VO 2023S
Stationary Processes and Time Series Analysis
3.04.5
UE Stationary processes and time series analysis
1.01.5
105.645 UE 2023S
Stationary Processes and Time Series Analysis
1.01.5
VO Modeling with PDEs
3.04.5
101.500 VO 2022W
Modelling with partial differential equations
3.04.5
UE Modeling with PDEs
1.01.5
101.502 UE 2022W
Modelling with partial differential equations
1.01.5
VO Numerical methods in fluid dynamics
2.03.0
302.042 VO 2022W
Numerical Methods for Fluid Mechanics
2.03.0
UE Numerical methods in fluid dynamics
2.02.0
302.044 UE 2022W
Numerical Methods in Fluid Dynamics
2.02.0
UE Calculating turbulent flows with CFD-codes
2.03.0
322.057 UE 2022W
Calculating Turbulent Flows with CFD-Codes
2.03.0
VO Turbulent Flows
2.03.0
322.058 VO 2022W
Turbulent flows
2.03.0
VU Numerical simulation and scientific computing I
3.06.0
360.242 VU 2022W
Numerical Simulation and Scientific Computing I
3.06.0
VU Finite element methods for multi-physics I
3.04.0
325.095 VU 2022W
Finite Element Methods for Multi-Physics I
3.04.0
LU Applied Fluid Mechanics Laboratory
2.02.5
322.047 LU 2023S
Applied Fluid Mechanics Laboratory
2.02.5
322.047 LU 2022W
Applied Fluid Mechanics Laboratory
2.02.5
VO Introduction to Python for Interdisciplinary Mathematics
1.01.5
VU High Performance Computing
3.04.5
184.725 VU 2022W
High Performance Computing
3.04.5
VU Introduction to semiconductor physics and devices
3.04.0
360.241 VU 2022W
Introduction to Semiconductor Physics and Devices
3.04.0
VO Theory, modeling and simulation of MEMS & NEMS
2.03.0
366.103 VO 2022W
Theory, modelling and simulation of MEMS and NEMS devices
2.03.0
VO Stochastic analysis in financial and actuarial mathematics 1
3.05.0
105.653 VO 2022W
Stochastic analysis in financial and actuarial mathematics 1
3.05.0
UE Stochastic analysis in financial and actuarial mathematics 1
1.02.0
105.089 UE 2022W
Stochastic analysis in financial and actuarial mathematics 1
1.02.0

Legend

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