Course calender.

WEEK #	TOPICS
1	Basic Concepts I Introduction Why we study probability Two definitions of probability Basic set notation Probability models
2	Basic Concepts II Axioms Total probability theorem Multiplication rule Conditional probability
3	Independence and Bayes' Rule Independence/Dependence Conditional independence Bayes' rule
4	Counting Permutations Combinations Partitions
5	Discrete Random Variables Basic concepts Probability mass functions (PMF) Bernoulli random variable Binomial random variable
6	Discrete Random Variables II Geometric random variable Poisson random variable Expectation/Mean Variance
7	Catch Up and Advanced Topic Review of Weeks 1–6 Markov chains
8	Jeopardy!™ Jeopardy! Last thoughts