Lectures	Sections in Text	Brief Description
3/28	1.2	Basic probability
3/30	1.2	Basic probability
4/2	3.1	Combinatorics
4/4	3.1, 3.2	Combinations and permutations
4/6	3.2	Combinations
4/9	3.2	Combinations
4/11	4.1	Conditional probability
4/13	4.1	Conditional probability
4/16	4.1, 6.1	Expected value
4/18	6.1	Expected value
4/20	6.2	Variance
4/23	6.2	Variance
4/25	5.1	Important distributions
4/27	5.1	Important distributions
4/30	5.1	Important distributions
5/2	8.1	Law of Large Numbers
5/4	9.1	Central Limit Theorem
5/7	9.1	Central Limit Theorem
5/9	9.1, 9.2	Statistics and General Central Limit Theorem
5/11	9.2	General Central Limit Theorem
5/14	11.1	Markov chains
5/16	11.2	Absorbing Markov chains
5/18	11.2	Absorbing Markov chains
5/21	11.3	Regular Markov chains
5/23	11.3	Ergodic Markov chains
5/25	TBA	Bayesian methods
5/30	TBA	Bayesian methods