Probability was approached at its fundamentals, deriving from measure theory, comprising the first half of class study. Measures and sigma-algebras were studied, then more familiar notions of probability--the statistics-heavy side with the Central Limit Theorem and its proof--were added, including a treatment on Markov chains and martingales.