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Foil 15 Computational Science Courses -- CPS713

From Computational Science Overview May 1195 Presentation at Illinois Computational Science Seminar -- May 5,1995. by Geoffrey C. Fox


CPS 713 Case Studies in Computational Science
This course emphasizes a few applications and gives an in-depth treatment of the more advanced computing techniques, aiming for a level of sophistication representing the best techniques currently known by researchers in the field.
  • Typically, the course is organized around three or four application topics such as:
  • Analysis of data and parameterization - statistics and optimization methods for massive data sets.
  • Molecular dynamics, as in CHARMM - particle dynamics in very large systems
  • Determining energy levels of large chemical systems, as in MOPAC - eigenvalues by matrix methods
  • Statistical physics - clustering methods
  • Collision of black holes - PDE's by adaptive finite difference meshs
  • Computational fluid dynamics as in NAS problem from NASA - PDE's by finite differences and finite elements
  • Students carry out detailed implementation projects for one or more topics, working either individually or in teams.
Instructor: Professor Geoffrey Fox, Computer Science and Physics



Northeast Parallel Architectures Center, Syracuse University, npac@npac.syr.edu

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