Bayes' Theorem - Part 1. An introductory-level look at where Bayes' theorem might be useful.

Bayes' Theorem - Part 2. Deriving the posterior probability distribution for the example described in part 1.

Bayes' Theorem - Part 3. A derivation of Bayes' theorem for discrete random variables (looking at marginal and conditional probabilities on the way).