Lecturer: Professor P Roe (Aerospace, Michigan)
Location: University of Cambridge.
Web:
http://www.csc.cam.ac.uk/academic/co...12/index.shtml
The course will provide a solid foundation on traditional and advanced
numerical discretisation techniques for the solution of the various
partial differential equations which govern fluid flow, showing how
successful numerical methods are rooted both in mathematical
properties of those equations and in notions of computational
efficiency.
Working Plan: The morning lectures on the theory will be complemented
by hands-on computational practicals during the afternoons. The
participants will work on numerical exercises as individuals and as
members of a team, and present their results to the rest of the class.
Who should attend: The course will aim to convey a "CFD literacy"
enabling newcomers to understand the literature and to select methods
that are effective for their applications. It will also provide the
foundation for existing users who would like to become more involved
with algorithm and code development. A strong background in an applied
science or/and mathematics is recommended.
At the end of the course the participants will be qualified to start
building their own code from scratch, or to further develop existing
packages.