Class | Cornell, CIS dept |

401, 402, 403 | |

part of Computational Science and Engineering Grad Option | |

URLs | URL: http://www.cs.cornell.edu/courses/cs401/2001fa/ |

URL: http://www.cs.cornell.edu/courses/cs402/2001fa/ | |

URL: http://www.cs.cornell.edu/courses/cs403/2002sp/ | |

URL: http://www.cs.cornell.edu/courses/cs404/2002sp/ | |

Topics | series of courses which cover pure and applied scientific computing |

Notes | - Has online lectures and problem sets |

- Uses Matlab | |

- All taught by Andrew J. Pershing |

Class | University of Utah, School of Computing, |

CS 5210 - Advanced Scientific Computation I and II | |

Part of Computational and Engineering Program | |

URL | URL: http://www.cs.utah.edu/~cs5210/ |

URL: http://www.cs.utah.edu/~cs6220/ | |

Audience | graduate students |

Main topics | I. Numerical Analysis and some parallel programming with MPI |

II. PDEs | |

Teaching | I. "Some emphasis will be put on optimality of discussed algorithms." |

Techniques | II. "learning by doing" |

Book | I. Scientific Computing, An Introductory Survey, 2nd Ed., by M. Heath, McGraw-Hill, 2002. |

II. Class Notes written by Chris Johnson [9] |

Class | Stanford, Computer Science Department |

CSD 238 - Parallel Methods in Numerical Analysis | |

URL | URL: http://www.stanford.edu/class/cs238/index.html |

Audience | advanced undergraduate/beginning graduate |

Main topics | parallel architectures, programming models, matrix computations, FFT, |

fast multipole methods, domain decomposition, graph partitioning | |

Teaching | no exams, there are 4 involved programming projects |

Techniques | |

Books | Numerical Linear Algebra for High-Performance Computers, |

by Jack Dongarra, Ian Duff, Danny Sorenson, and Henk van der Vort, SIAM. | |

Domain Decomposition: Parallel Multilevel Methods for Elliptic Partial | |

Differential Equations, by Barry Smith, Peter Bjorstad, and William Gropp, | |

Cambridge University Press. | |

also MPI and architecture books |

Class | Indiana, Computer Science Department |

P573: Scientific Computing I | |

URL | URL: http://www.cs.indiana.edu/classes/p573/ |

Audience | beginning graduate students in scientific, engineering, or math disciplines |

Main topics | high-performance computer architectures, software tools and packages, |

characteristics of commonly used numerical methods, graphical presentation | |

of results, and performance analysis and improvement | |

Teaching | final exam, small programming projects which add up to 70% of grade |

Techniques | |

Books | most materials needed on web, only reference books given |

Introduction to Matrix Computations by G.W. Stewart | |

High Performance Computing by Kevin Dowd | |

Mastering Matlab by Hanselman and Littlefield |

**Online Notes**

- URL: http://hobbes.jct.ac.il/~naiman/nm/index.html

Great, has lots of predone slides for the topics. - URL: http://www.met.rdg.ac.uk/~swslandr/Courses/MT405/HTML/MT405.html
- URL: http://www.krellinst.org/UCES/archive/classes/CNA/uces.meth.analyc.html
- URL: http://www.damtp.cam.ac.uk/user/na/PartIB_01/Handouts.html

**Problem Sets and some Solutions**

- URL: http://www.cs.cornell.edu/Courses/cs421/2000fa/
- URL: http://www.cs.cornell.edu/cv/CS421/421home.htm
- URL: http://www.cs.cornell.edu/courses/cs421/1999fa/
- URL: http://www.ma.umist.ac.uk/rwt/courses/crs-157/frontpage157.htm
- URL: http://www.amath.washington.edu/courses/352-summer-2001/
- URL: http://www.ma.hw.ac.uk/~gabriel/teaching/113YG2/

**Other References**

- Short course on parallel numerical linear algebra by Jim Demmel,

URL: http://www.cs.berkeley.edu/~demmel/cs267-1995/ - Parallel Algorithms with Applications
to Scientific Computing,

URL: http://www.hpc2n.umu.se/events/ngssc/98/parallel/contents99.html - High Performance Scientific Computing group at Colorado

URL: http://www.cs.colorado.edu/95-96/courses/materials.hpsc.html - Example problems written in FORTRAN

URL: http://www.ma.utexas.edu/CNA/NA2/sample.html - Computational Science Online Textbook

URL: http://www.aspire.cs.uah.edu/textbook/toc.html - Tutorial on ordinary differential equations

URL: http://ode.sjdccd.cc.ca.us/ODE/ODE-h.html - The Mathematica Atlas on Partial Differential Equations

URL: http://www.math.niu.edu/~rusin/known-math/index/35-XX.html - Scientific Computing FAQ

URL: http://www.mathcom.com/corpdir/techinfo.mdir/scifaq/index.html - Alternatives to Numerical Recipes, lists numerical analysis books

URL: http://math.jpl.nasa.gov/nr/nr-alt.html - Afternotes on numerical analysis, a book ad

URL: http://www.siam.org/catalog/mcc06/stewart.htm