Giovanni Petris wrote:
> Dear R-helpers,
>
> I am planning a course on Statistical Computing and Computational
> Statistics for the Fall semester, aimed at first year Masters students
> in Statistics. Among the topics that I would like to cover are linear
> algebra related to least squares calculations, optimization and
> root-finding, numerical integration, Monte Carlo methods (possibly
> including MCMC), bootstrap, smoothing and nonparametric density
> estimation. Needless to say, the software I will be using is R.
>
> 1. Does anybody have a suggestion about a book to follow that covers
>   (most of) the topics above at a reasonable revel for my audience?
>   Are there any on-line publicly-available manuals, lecture notes,
>   instructional documents that may be useful?
>  
The course notes for `Advanced Statistical Computing' by Robert Gray
covers much of
the topics you mentioned and is interspersed with R (1.4.0) code.

http://www.stat.wisc.edu/~mchung/teaching/stat471/stat_computing.pdf

HTH,
Tobias

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