Scope: 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.

There will also be seminars by established researchers on
application of CFD to contemporary science and technology
topics.

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.