Day	Section	Topic	Homework
Sept. 8	1.1 - 1.4	Intro. to probability	1.4: 3,6
10	1.5 - 1.6	Axioms	1.5: 4,6 1.6: 2,4
13	1.7	Counting	1.7: 6,8,10
15	1.8	Counting	1.8: 4,6,10
17	1.9	Multinomial	1,9: 4,6,8
20	1.10-1.11	Union	1.10: 2,4,10
22	2.1	Conditional probability	2.1:4,8,10
24	2.2	Independent events	2.2: 4,10,12
27	2.2	Bayes' theorem	2.2: 4,8,10
29	3.1	Discrete r.v.'s	3.1: 4,8,10a
Oct. 1	3.2	Continuous r.v.'s	3.2: 2,6,8
4	3.3	c.d.f.	3.3: 2,4a,b,c,d,e,f,8
6	3.4	Bivariate distributions	3.4: 2,6,8,10
8		Midterm Exam 1
11	3.5	Marginal distributions	3.5: 2,4,10
13	3.6	Conditional distributions	3.6: 2,8,10
15	3.7	Multivariate distributions	3.7: 2,4,8
18	3.8	Function of r.v.	3.8: 2,4,10
20	3.9	Function of r.v.'s	3.9: 2,4,14
22	4.1	Expectation	4.1: 2,8,12
25	4.2	Properties	4.2: 2,8,10
27	4.3	Variance	4.3: 2,4,8
29	4.4	Moments	4.4: 6,8,10,12

Nov. 1	4.5	Mean and median	4.5: 4,6,10
3	4.6	Covariance	4.6: 6,14,16
5	4.7	Conditional expectation	4.7: 2,8,11
8	4.8	Sample mean	4.8: 2,6,10
10	4.9	Utility	4.9: 2,4,12
12		Midterm Exam 2
15	5.1-5.2	Bernoulli and binomial	5.2 :4,6,8
17	5.3	Hypergeometric	5.3: 2,6,8
19	5.4	Poisson	5.4: 6,8,12,14
22	5.5	Negative binomial	5.5: 2,6,9
24	5.6	Normal	5.6: 6,8,10,14
26		HOLIDAY
29	5.7	Central limit theorem	5.7: 2,6,14a
Dec. 1	5.8	Continuity correction	5.8: 2,6
3	5.9	Gamma	5.9: 6,10,12
6	5.10	Beta	5.10: 2,6,8
8	5.11	Multinomial	5.11: 2,4,6
10	5.12	Bivariate normal	5.12: 2,4,15
13	6.1-6.2	Inference	6.2: 6,7
15		Review
20		FINAL EXAM	10:30AM - 12:30 PM