August 20: R, RStudio, Rmarkdown
August 27: R basics, programming, random numbers, ggplot2
September 3: Basics, Monopoly
September 10: Probability, Introduction, Conditional Probability and Independence, Random Variables and Random Vectors
September 17: Expectation, Inequalities and Limit Theorems, Transformations
September 24: Discrete and Continuous Distributions
October 1: Generating Random Variates, General Methods
October 8: Fundamental Theorem, Special Cases
October 15: Basic Statistics, Verifying a Simulation, A Realistic Example
October 22: Discrete Time Markov Chains
October 29: MCMC, Gibbs Sampler
November 5: Slice Sampler, Bayesian Inference, On/Off problem
November 12: Variance Reduction Methods
November 19: Additional Topics
Homework 13 (Bonus) due November 25
December 3: Student Exercises