Date

Topic/Section

Due Dates / Exams

Monday  08/25

Lecture 1

Introduction, Overview

Wednesday  08/27

Lecture 2

Probability: Sample space, events, axioms

2.1, 2.2

Monday  09/01

Labor Day

No classes

Wednesday  09/03

Counting Techniques

2.3

HW 1 due

Last day to drop

Monday  09/08

Counting Techniques

2.3

Wednesday  09/10

Lecture 3

Conditional Probability,

Independence

2.4, 2.5

HW 2 due

Monday  09/15

Bayes’ Theorem

2.4

Last day to add

Wednesday  09/17

Lecture 4

Random Variables,

PMF, CDF

Expected value, variance

3.1, 3.2, 3.3

HW 3 due

Monday  09/22

Binomial, 3.4

Wednesday  09/24

Hypergeometric, 3.5

HW 4 due

Monday  09/29

Geometric,

Negative Binomial

3.5

Wednesday  10/01

Poisson 3.6

HW 5 due

Monday  10/06

Poisson Process

Wednesday  10/08

Categorizing Discrete Random Variables, Review

HW 6 due

Monday  10/13

Exam I

Wednesday  10/15

Lecture 5

Continuous PDF, CDF

4.1, 4.2

Monday 10/20

Expected value, variance

Uniform distribution

4.2

Wednesday  10/22

Exponential and Gamma distribution, 4.4

HW 7 due

Monday  10/27

Normal Distribution

4.3

Wednesday  10/29

Lecture 6

Joint Distributions

5.1

HW 8 due

Monday  11/03

Conditional distr.

Correlation

5.2, 5.3

Wednesday  11/05

Sampling Distributions

1.3, 1.4

HW 9 due

Monday  11/10

Exam II

Wednesday  11/12

Lecture 7

Central Limit Theorem

5.4

Monday  11/17

Central Limit Theorem

5.5

Wednesday  11/19

Unbiased estimates,

Standard error

6.1

HW 10 due

Monday  11/24

Lecture 8

Confidence Intervals

7.1, 7.2

Wednesday  11/26

Large Sample and Normal  CI’s

7.3, 7.4

HW 11 due

Monday  12/01

Lecture 9

Hypothesis Testing

8.1

Wednesday  12/03

P-values, 8.4

HW 12 due

Monday  12/08

Test for means and proportions

8.2, 8.3

Wednesday  12/10

Final Exam Review