Computational Mathematical Modeling

This course will train a new generation of highly skilled graduate students. Students will acquire a solid foundation in mathematical modeling and learn the use of modern programming languages and online collaborative tools, thus ready to attack challenging application problems from architecture, computational design, computational mechanics, computational fluid dynamics, computational biomedicine, mathematical physics and other fields.

Computational Mathematical Modeling has become a key enabling technology that permeates many branches of science and
technology. Graduate students face increasingly complex problems that can only be addressed by simulation. Effective use of simulation requires a solid understanding of the underlying mathematical theory, programming skills and effective use of modern tools for programming, visualization, version control, online collaboration and publication. 

Some of these skills are taught in regular courses at many universities. However, these courses are often very theoretical and specialized to either specific mathematical methods, for example the mathematical theory of finite element methods, or specific programming languages, but there are no courses that currently offer students a broad and cohesive introduction to both the theoretical and practical aspects of Computational Mathematical Modeling. 

The proposed course seeks to fill this gap in a Nordic context. Graduate students from Denmark, Norway and Sweden will be trained in state-of-the-art mathematical methods, modern programming techniques, visualization and online collaborative tools as part of two intense course weeks. Students will also team up in pairs to put their knowledge to practical use in collaborative and exploratory projects.

Contact person
Sverker Holmgren - Programme Director for the Nordic eScience Globalisation Initiative (NeGI), Professor in Scientific Computing
Contact person Sverker Holmgren
Programme Director for the Nordic eScience Globalisation Initiative (NeGI), Professor in Scientific Computing
Work +46 70 425 07 97
Ida Persson - Adviser
Contact person Ida Persson
Adviser
Work +47 407 24 571
Facts about the project
Project manager

Anders Logg, Chalmers University of Technology

Funding scheme
Research Training Courses
Duration
01.09.2016-31.12.2019