Course context
This page is an archive of the course Numerical Methods in Scientific Computing. The source text identifies it as the course page for the course in 2012.
General motivation
The course introduces the most important ideas and techniques of modern numerical methods in scientific computing. Topics include discretization for ordinary and partial differential equations and solution methods for the linear and non-linear systems of algebraic equations that arise. Modules focus on analysis and implementation issues for problems from practical applications, giving participants a global view of available methods to guide choices in real-life situations.
Aims
The aims are to broaden knowledge and provide understanding of various discretization and numerical solution methods used for problems in scientific computing. The course also discusses basic analysis related to stability, error estimates and computer implementation issues, and their relevance when choosing methods for a particular application problem.
Dates, places and course pages
The course was given in collaboration between UPPMAX in Uppsala and HPC2N in Umeå. Information about travel and housing was to be given upon registration. The page states that the course would next be given in January-February 2011.
| Week | Activity |
|---|---|
| Week 3 | Preparatory studies |
| Week 4 | Lectures in Uppsala |
| Week 5 | Project work at home |
| Week 6 | Lectures in Umeå |
| Week 7 | Project work at home |