MATHEMATICS 1610 PROBABILITY

Professor: Jill Pipher
Office: Chair's office: Kassar 104
Phone: (401) 863-3319
Fax: (401) 863-9013
Email: jpipher at math dot brown dot edu
Office Hours: Wed. 3-4, Thurs 1-2:30 and by appointment


The textbook for this course is Elementary Probability by David Stirzaker, and we will cover chapters 1-8. The course meets Tue/Thurs 2:30-3:50 in BH 160.

Grades in the course are based on weekly homework assignments (25%), one midterm (25%), and the final examination (50%). The syllabus and assignments will be posted on this website, and updated weekly. Homework is collected on Thursdays. Please turn in the problems assigned on the Tuesday of that same week, and the previous Thursday.

Who should take this course? This course has no advanced prerequisites, but I'll assume you've had (or are taking now) a course in linear algebra (52 or 54). The calculus requirement (equivalent of Math 180, 200 or 350) is a serious one. We will use multivariable calculus in this course. Take the Calculus review test if you have any doubts that you are properly placed. Calculus Review Problems, by S.J.Miller

Extra help in math1610: There is an undergraduate TA for this course who will be holding a weekly recitation section. The recitation section is optional, not mandatory, but I recommend that you attend if possible. Your TA is Drew Parker and you can contact him by email at William_Parker followed by the usual Brown address. The recitation section meets Wednesdays 5-6 in BH 159.

Undergraduates with an interest or major in mathematics can check out the Mathematics Department undergraduate program website at http://www.math.brown.edu/ugrad_prog.html and the links there to the Math DUG and WISE (Women in Science and Engineering) groups.

LATEST NEWS:

Check out http://site.ebrary.com/lib/brown for links to books online. For example, the Schaum's outline series is available.

THE FINAL EXAM IS ON DEC 19 at 2pm. IN FOXBORO AUDITORIUM



Do as many as you can - this hw will not be graded.
Calendar Material Covered Homework Assignments
Sept. 6 Introduction
Sample spaces, probability distributions
Read Chapter 0,
Do problems 6,9,12 p.48
Sept. 11
Sept. 13
Finish chapter 1, begin Chapter 2
Chapter 2: Conditional prob, independence
Read Chapter 1, Do #1,3,8 p. 76 (due 9/20)
Read Chapter 2, Do #14,34,35,36,43 (due 9/20)
Sept. 18
Sept. 20
Counting! permutations, combinations
More counting
Start reading chapter 3, Do #1,4,6,14 p. 108 (due9/20)
Finish chapter 3 (& all examples) Do #8,13,27 p. 108
Sept. 25
Sept. 27
Random variables, expected value,
Variance, conditional distributions
start reading chapter 4, Do #2,5 p. 151 and Ex. 4.10.1, 4.10.2
Read chapter 4, Do #20,36 and Ex. 4.18.2.
Oct. 2
Oct. 4
Finish chapter 4, conditional expectation, inequalities
Start Chap. 5, joint distribution functions
p. 151 #42, 46 (due Thurs. Oct 4)
Review Chapter 4, and sample problems
Oct. 9
Oct. 11
Chap. 5, joint probability mass functions
>NO CLASS
p.226, #2,4,21
Study for exam, in class 10/16
Oct. 16
Oct. 18
Exam
covariance, begin Chapter 7
p.206 Ex. 5.11 (3), (5)
Read 7.1, p. 334 #1,2,5
Oct. 23
Oct. 25
Sections 7.2 and 7.4
Continue 7.4
Ex. 7.18.3, 7.18.6, p.334 #7,8,17,33
Oct. 30
Nov. 1
7.5
Moment generating functions and Random selection
p. 334 #23, 24 (due Thursday Nov.8)
p. 325 Ex. 7.13.2, 7.13.3, 7.13.4
Nov. 6
Nov. 8
Joint density functions, vectors of random variables
Change of variable, section 8.2
Read 8.1, Do #1,3,10 p.391
Read 8.2
Nov. 13
Nov. 15
Introduction to sums of rv's, conditional densities
Independence and sums of rv's
p. 327 Ex. 7.15.6, 7.15.7, p. 392 #5, 6
Ex. 8.11.3, 8.11.4, p. 392 #18,
Nov. 20. Special topics (Markov chains, random walk)
Nov. 27
Nov. 29
Conditional expectation
Chebychev, Weak Law of Large Numbers
on handout
on handout
Dec.4
Dec. 6
Central Limit Theorem
Strong Law of Large Numbers/Chernoff bounds
See homework handout on Thursday
Dec. 11
Last class - miscellaneous topics and review