The faculty and the Heidelberg Graduate School HSG MathComp are jointly inviting all students of the program to participate in the
Welcome to the master's program "Scientific Computing"
Wednesday, April 12, 2017, 14 c.t.
This information event will take place at Mathematikon, INF 205, Seminar Room C (ground floor).
International Master Program "Scientific Computing"
The Faculty for Mathematics and Computer Science at Heidelberg University is offering an international master course "Scientific Computing" starting in the winter Term (October) and summer term (April). The program combines the development of methods and algorithms in Applied Mathematics, the implementation of these methods using modern Computer Science technology and the application to real-world problems.
Mathematical methods taught in this master program include
- Numerical methods for ODE and PDE
- Statistics and data analysis
- Differential geometry and computer algebra
- Linear and non-linear optimization methods
- Computational methods in fluid dynamics
Computer Science methods list for example
- Parallel computing
- Scientific visualization
- Mixed-integer programming
- Spatial databases
- Image processing techniques
Applications for Scientific Computing come from:
- Physics and Astronomy
- Weather and Climate Modelling
- Text and Data Mining
- Theoretical Chemistry
- Scientific Visualization
- Social Sciences
- Cultural Heritage
Stay tuned for information on
- the modules and practicals in this new master course
- rules and regulations
- application procedure
The program is designed in cooperation with HGS MathComp, the graduate school for mathematical and computational modeling at the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University). Top students in the first year course will get an invitation to join the graduate school for the second master year, opening the possibility to a direct integration into the HGS MathComp PhD program, a master course directly leading to a PhD project (research oriented master track).