Lectures	Sections in Text	Brief Description
3/29	1.1	Simulation of Discrete Probabilities
9/31	1.2	Discrete Probability Distributions
4/3	1.2 (cont'd);2.1	Discrete Probability Distributions; Simulation of Continuous Probabilities
4/5	2.1 (cont'd);2.2	Continuous Density Functions
4/7	2.2 (cont'd)	Continuous Density Functions
4/10	3.1	Permutations
4/12	3.2	Combinations
4/14	4.1	Conditional Probability: Discrete Conditional Probabilities
4/17		Midterm Review
4/19		Midterm Exam 1
4/21	4.2	Continuous Conditional Probabilities
4/24	5.1	Important Distributions
4/25	5.2	Important Densities
4/28	6.1	Expected Value
5/1	6.2	Variance of Discrete Random Variables
5/3	6.3	Continuous Random Variables
5/5	6.3 (cont'd)	Continuous Random Variables
5/8	8.1	Law of Large Numbers: Discrete Random Variables
5/10		Midterm Exam 2
5/12	8.2	Law of Large Numbers: Continuous Random Variables
5/15	8.2(cont'd), 9.1	Law of Large Numbers, Central Limit Theorem: Bernoulli Trials
5/16 (x-hour)	9.1 (cont'd)	Discrete Independent Trials
5/17	9.2	Continuous Independent Trials
5/19	12.1	Random Walks in Euclidian Space
5/21	12.1 (cont'd)	Random Walks in Euclidian Space
5/24		No class today; we used the x-hour on 5/16 to make up for this hour
5/24		No class today; we will use the x-hour on 5/30 to make up for this hour
5/30	12.2	Gambler's Ruin
5/31		Review
6/3		Final Exam

Marius Ionescu
Last updated May 31, 2008 12:24:35 EDT