Appendix

Many people have their class notes for Scientific Computing and Computation Science classes on the web. The three courses shown below have online materials such as the syllabus, assignments, class notes, etc. Although these classes cover or require as prerequisites some of the material listed under numerical analysis, their focus is more on the application of these numerical methods.

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