Bayes Intro (pdf notes)
Reading: Kéry and M. Schaub (2011), Chapters 1-2 (thoroughly); review Chapters 3 and 4 especially sections on random effects models, and for tips on simulating data and coding models in R and BUGS.
Bayes basics (pdf notes; from a book on decision analysis, so ignore references to 'previous lab' and 'probabilistic networks')
R script for examples