066 646 Master programme Computational Science and Engineering

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

2022W-2023S (2019U)

1. Semester

TitlePrecon.HoursECTS
VU Scientific Programming with Python
2.02.0
2.02.0
VO Introduction to Computational Science and Engineering
2.03.0
2.03.0
VU Numerical Simulation and Scientific Computing I
3.06.0
3.06.0
VU Applied Mathematics Foundations
4.05.5
4.05.5

2. Semester

TitlePrecon.HoursECTS
VU Advanced Multiprocessor Programming
3.04.5
3.04.5
VU Numerical Simulation and Scientific Computing II
3.06.0
3.06.0
VO Numerical Methods for PDEs
3.04.0
101.773 VO 2023S
3.04.0
UE Numerical Methods for PDEs
2.03.0
101.775 UE 2023S
2.03.0

3. Semester

TitlePrecon.HoursECTS
VU High Performance Computing
3.04.5
184.725 VU 2022W
3.04.5
VU Computational Science on Many-Core Architectures
2.03.0
2.03.0
VU Advanced Programming with C++
2.03.0
2.03.0

Without semester recommendation

TitlePrecon.HoursECTS
VU Numerical Computation
4.05.5
101.973 VU 2022W
4.05.5
VU Foundations of Building Science
2.03.0
2.03.0
VU Advanced Numerical Methods in Building Science 1
2.03.0
2.03.0
VU Introduction to Digital Twins for Buildings and Cities
1.02.0
1.02.0
SE Research Methods and Scientific Writing in Building and City Science
1.03.5
1.03.5
VU Advanced Numerical Methods in Building Science 2
3.03.5
3.03.5
VO Multiscale Material Modelling
2.03.0
202.649 VO 2023S
2.03.0
UE Multiscale Material Modelling
2.02.0
202.650 UE 2023S
2.02.0
VU Data Management
1.01.0
207.019 VU 2022W
Data Management canceled
1.01.0
VO Engineering Biochemoporomechanics
2.03.0
2.03.0
VU Introduction to Atomistic Calculations
2.03.0
2.03.0
VU Concepts in Condensed Matter Physics
2.03.0
2.03.0
VU Computational Materials Science
2.03.0
4.03.0
VO Physical and Theoretical Solid State Chemistry
2.03.0
2.03.0
VO Theoretical Molecular Chemistry
2.03.0
2.03.0
PN Selected Topics in Materials Science
3.03.0
3.03.0
PR Selected Topics in Theoretical Chemistry
3.03.0
3.03.0
3.03.0
VU Simulation of Solids
2.03.0
165.144 VU 2022W
2.03.0
VU Introduction to Semiconductor Physics and Devices
3.04.0
3.04.0
VU Introduction to Finite Element Methods in Solid Mechanics
2.53.0
2.03.0
VU Simulation of Semiconductor Device Fabrication
3.04.0
3.04.0
PR Selected Topics - Computational Electronics
4.04.0
4.04.0
4.04.0
VU Semiconductor Sensors
3.04.0
360.248 VU 2022W
3.04.0
SE Recent Advances in Computational Electronics
1.01.0
1.01.0
1.01.0
VU Finite Element Methods for Multi-Physics I
3.04.0
3.04.0
VO Theory, Modelling and Simulation of MEMS and NEMS Devices
2.03.0
2.03.0
PR Selected Topics - MEMS and NEMS
5.05.0
5.05.0
5.05.0
VU Fundamentals in Fluid Mechanics
3.05.0
3.05.0
UE Calculating Turbulent Flows with CFD-Codes
2.03.0
2.03.0
VU Aeroacoustics
2.03.0
UE Numerical Methods in Fluid Dynamics
2.02.0
2.02.0
VO Numerical Methods for Fluid Mechanics
2.03.0
2.03.0
VU Computational Aerodynamics
3.05.0
322.079 VU 2023S
3.05.0
SE Seminar on Stability and Pattern Formation
2.02.0
PR Project Study in Fluid Mechanics
4.04.0
4.04.0
4.04.0
VO Hydrodynamic Stability and Transition to Turbulence
2.03.0
VU Advanced Database Systems
4.06.0
184.780 VU 2023S
4.06.0
VU Database Systems
4.06.0
184.686 VU 2023S
4.06.0
184.686 VU 2022W
4.06.0
VU Data-Oriented Programming Paradigms
2.03.0
2.03.0
VO Data Stewardship
2.03.0
194.044 VO 2023S
2.03.0
VU Experiment Design for Data Science
2.03.0
2.03.0
UE Data Stewardship
2.03.0
194.045 UE 2023S
2.03.0
VU Machine Learning
3.04.5
184.702 VU 2023S
3.04.5
184.702 VU 2022W
3.04.5
VU Machine Learning for Health Informatics
2.03.0
VU Data Intensive Computing
2.03.0
VU Mathematical Programming
2.03.0
186.835 VU 2023S
2.03.0
VU Advanced Methods for Regression and Classification
3.04.5
3.04.5
VU Statistical Simulation and Computer-intensive Methods
2.03.0
2.03.0
VU Algorithmics
4.06.0
186.814 VU 2022W
4.06.0
VU Approximation Algorithms
2.03.0
186.102 VU 2022W
2.03.0
VU Complexity Analysis
2.03.0
184.215 VU 2023S
2.03.0
VU Efficient Programs
2.03.0
185.190 VU 2022W
2.03.0
VU Structural Decompositions and Algorithms
2.03.0
2.03.0
VU Heuristic Optimization Techniques
3.04.5
3.04.5
VU GPU Architectures and Computing
4.06.0
4.06.0
VU Parallel Algorithms
2.03.0
184.727 VU 2022W
2.03.0
VU Nonlinear Optimization
2.03.0
SE Computational Mathematics
2.03.0
101.952 SE 2023S
2.03.0
VO Modelling with Partial Differential Equations
3.04.5
3.04.5
VO AKNUM Computational Finance
3.04.5
3.04.5
UE Modelling with Partial Differential Equations
1.01.5
1.01.5
UE AKNUM Computational Finance
2.03.0
2.03.0
VO AKNUM Iterative Solution of Large Systems of Equations
4.5
VO Numerics of Partial Differential Equations: Instationary Problems
3.04.5
3.04.5
VU Optimization with PDE Constraints
2.03.5
VU AKNUM Finite Element Methods in Technical Applications
3.04.5
3.04.5
UE AKNUM Iterative Solution of Large Systems of Equations
1.01.5
UE Numerics of Partial Differential Equations: Instationary Problems
1.01.5
1.01.5
VU Finite Element Methods for Multi-Physics I
3.04.0
3.04.0
VO Finite Element Methods for Multi-Physics II
2.03.0
2.03.0
UE Finite Element Methods for Multi-Physics II
2.02.0
2.02.0
VU Nanoelectromechanical Systems
2.03.0
2.03.0
VU Computational Methods in Structural Mechanics
3.04.0
SE Seminar Mechatronic Systems
2.03.0
325.090 SE 2023S
3.03.0
325.090 SE 2022W
3.03.0
VU Implementation of a Finite Element Program
3.04.0
3.04.0
VO Theory, Modelling and Simulation of MEMS and NEMS Devices
2.03.0
2.03.0
VU Introduction to Finite Element Methods in Solid Mechanics
2.53.0
2.03.0
VU Implementation of a Finite Element Program
3.04.0
3.04.0
VU Composites Engineering
3.04.0
UE Design of Composite Structures
2.02.0
VU Finite Element Methods for Multi-Physics I
3.04.0
3.04.0
VO Finite Element Methods for Multi-Physics II
2.03.0
2.03.0
VO Advanced Material Models for Structural Analysis
2.03.0
2.03.0
UE Finite Element Methods for Multi-Physics II
2.02.0
2.02.0
VU Isogeometric Analysis
4.05.0
317.540 VU 2023S
4.05.0
VO Nonlinear Finite Element Methods
2.03.0
2.03.0
UE Nonlinear Finite Element Methods
2.02.0
2.02.0

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