First week (08.04.-12.04.2019)
Monday Tuesday Wednesday Thursday Friday
09-13 Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5
14-16 Programming 1 Programming 2 Teamwork 3 Programming 4 Programming 5
16-18 Teamwork 1 Teamwork 2 Programming 3 Teamwork 4 Team presentation 1
Second week (15.04.-18.04.2019)
Monday Tuesday Wednesday Thursday
09-13 Lecture 6 Lecture 7 Lecture 8 Teamwork 9
14-16 Programming 6 Programming 7 Teamwork 8 Team presentation 2
16-18 Teamwork 6 Teamwork 7 Programming 8 Team presentation 3
Berlin Sightseeing Tour on Sunday (14.04.2019)
Lectures in room 2.417 (house 2, floor 4)
Lecture 1 Modeling, analysis and numerical simulation of Hamiltonian systems
Lecture 2 Ordinary differential equations and time integration methods
Lecture 3 Partial differential equations and Galerkin methods (FEM, spectral methods, et al.)
Lecture 4 Iterative methods for linear and nonlinear systems (Jacobi, CG, Newton, et al.)
Lecture 5 Finite volume methods and particle based methods for CFD
Lecture 6 Time series methods for data analysis
Lecture 7 Splitting methods for ordinary and partial differential equations
Lecture 8 Waveform relaxation methods for coupled systems
Programming in the rooms 2.207 and 2.212 (house 2, floor 2)
During the programming units students learn to understand, use and adapt the methods presented during the lectures for solving demonstration and benchmark problems in different applications. The programming language is Python. Python notebooks will be provided.
Teamwork and Team Presentations in the rooms 2.207 and 2.212 (house 2, floor 2)
Students work in teams of about 4 persons for solving project tasks based on the knowledge provided by the lecture and programming units. They shall present their results in 25min presentations during team presentation 1 and 45min presentations during team presentation 2 and 3. After the workshop they shall summarize their project work in a report in form of a Python notebook.