Lectures	Sections in Text	Brief Description
Day 1:  9/22	1.2	Basic probability
Day 2:  9/24	1.2	Basic probability
Day 3:  9/27	3.1	Combinatorics
Day 4:  9/29	3.1, 3.2	Combinations and permutations
Day 5:  10/1	3.2	Combinations
Day 6:  10/4	3.2	Combinations
10/5		Last day to add/drop
Day 7:  10/6	4.1	Conditional probability
Day 8:  10/8	4.1	Conditional probability
Day 9:  10/11	4.1, 6.1	Expected value
Day 10:  10/13	6.1	Expected value
Day 11:  10/15	6.2	Variance
Day 12:  10/18	6.2	Variance
Day 13:  10/20	First Midterm
Day 14:  10/22	5.1	Important distributions
Day 15:  10/25	5.1	Important distributions
Day 16:  10/27	5.1	Important distributions
Day 17:  10/29	8.1	Law of Large Numbers
Day 18:  11/1	9.1	Central Limit Theorem
Day 19:  11/3	9.1	Central Limit Theorem
Day 20:  11/5	9.1, 9.2	Statistics and General Central Limit Theorem
Day 21:  11/8	9.2	General Central Limit Theorem
Day 22:  11/10	Second Midterm
Day 23:  11/12	11.1	Markov chains
11/12		Last day to drop
Day 24:  11/15	11.2	Absorbing Markov chains
Day 25:  11/17	11.2	Absorbing Markov chains
Day 26:  11/19	11.3	Regular Markov chains
Day 27:  11/22	11.3	Ergodic Markov chains
11/24 - 11/28		Thanksgiving break
Day 28:  11/29	TBA	Bayesian methods
Day 29:  12/1	TBA	Bayesian methods