Announcements:

Probability is an incredible branch of mathematics, which allows us to model and gain understanding of the random phenomena we see in the world. In this course, we continue with the foundations of probability from MATH/STAT 394. We will cover more about random variables - their joint behaviour (independent, dependent and conditional) and more ways to talk about their limits (Law of Large Numbers, Central Limit Theorem). Time permitting, we will also look at the Poisson process.

The official prerequisite of this course is a 2.0 in MATH/STAT 394. For those of you that didn't just finish 394 - you should be familiar with the first 5 chapters of our textbook. Also, you will need to know multivariate calculus.

**Instructor:**
Hanna Jankowski

**E-mail:** hanna@stat.washington.edu

I
have a request: when e-mailing me, please send plain text files and try
to stay away from html - it's very difficult for me to read. Thanks in
advance.

**Office Hours:** In my office, Padelford B220, after each lecture
until noon (beginning July 24th). I will not have office hours after the
test. However, I will most likely have additional office
hours beforehand - these will be announced.

If you cannot make it to my office hours, please schedule an appointment.

**Lectures** will be held in BLM 309.

The text for this course is *A First Course in Probability Theory*,
by Sheldon Ross, 7th Edition.

There is a copy of both the 7th and 6th edition of this text available for short-term loan from the Mathematics Research Library in Padelford Hall C-306. I have also requested that the text by John A. Rice, Mathematical Statistics and Data Analysis be placed on reserve there. It's a more advanced text, but I like the explanations.

There will be two assignments, a term test and a final in this course. The tentative schedule and (not so tentative) weighting scheme is as follows:

Assignment 1 : due Monday, July 31st, 10%

Assignment 2 : due Monday, August 14th, 10%

Note: all assignments are due at the **beginning** of each lecture.
There are no exceptions. I do not accept late assignments.

Term test: Friday, August 4th, 35%

Final: Friday, August 18th, 45%

Note: all tests/final will be held during regular lecture times. They will be held in SMI205.

**Bonus Presentations:**

You will have the opportunity to earn bonus marks (up to a maximum of
5%) by presenting a problem, chosen by me, to the class. Interested
students should let me know asap.

- The tests are all closed book tests. You will probably need a calculator - only non-programmable calculators are allowed.

- There will be no make-up tests scheduled. In case of illness supported by medical documentation, your grade will be based on your other grades, pro-rated accordingly.

- Course work will be handed back during lectures. If you
disagree with the mark you have received on a test, you should submit a
request for regrading in writing to the instructor within
*three days*of when the work was returned.

- You are free to discuss your homework assignments with others, but you must write up your own solutions. I cannot stress this last part enough: not only is the right thing to do, but it's also how you learn the material. The assignments are due at the beginning of the class on the due dates. I do not accept late assignments.

- Attendance at all lectures is very important. I may not follow the text book at all times! Also, I may not follow the notation used in the text. You are required to learn the notations I give in class (and not that of the text).

- The best way to learn mathematics is to do mathematics. Make sure you keep up with the assigned (non-credit) excercises. Come see me if you have troubles. Notably, my assigned problems have a record of sneaking onto my tests and exams...

We have covered the following sections/topics:

** Week 0 : **

** Week 1: **

** Week 2: **

** Week 3: **

** Week 4: **

**Practice** (non-credit - do not hand these
in) **problems**: