Lectures	Sections in Text	Brief Description
9/22	1.2	Basic Probability
9/27	1.2;3.1	Basic Probability; Combinatoric: Permutations
9/29	3.2	Combinations
10/4	3.2;4.1	Combinations; Conditional Probability
10/6	4.1	Conditional Probability
10/11	6.1	Expected Value
10/13	6.2	Variance
10/18		Midterm Exam 1
10/20	5.1	Important Distributions
10/25	5.1	Important Distributions cont'd
10/27	8.1	Law of Large Numbers
11/1	9.1	Central Limit Theorem: Bernoulli Trials
11/3	9.2	CLT: Independent Trials
11/8	9.2	CLT: Independent Trials cont'd
11/10		Midterm Exam 2
11/15	11.1;11.2	Introduction to Markov Chains
11/17	11.2	Absorbing Markov Chains
11/22	11.3	Regular Markov Chains
11/24		No class(Thanksgiving break)
11/29	11.3	Ergodic Markov Chains
12/1		Review
12/5		Final Exam

Marius Ionescu
Last updated May 31, 2008 12:24:09 EDT