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Course Description

Required Readings

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Math/Stat 394 - Summer Quarter
Probability 1

Syllabus

Instructor: Federico Marchetti
Office: Padelfort C-36J
Office Hours: MW 12:00-1:00 or by appointment
Email: fm1@u.washington.edu
Web Page: http://faculty.washington.edu/~fm1/
Phone: (206) 543-5082
Voice Mail/Fax:(206) 337-6310

Class Information

Meeting Time and Place:

Section B: Monday, Wednesday, Friday 10:50-11:50 THO 135
Section C: Monday, Wednesday, Friday 9:40-10:40 MOR 225

Class Web Page: http://faculty.washington.edu/~fm1/394/

Any relevant news will be given in class. Every effort will be made to make the information available on the class web page in a timely matter, but it is your responsibility to be informed on any information given in class.

Prerequisites:

2.0 in either MATH 126 or MATH 136. Recommended: MATH 324 or MATH 327

Exams:

There will be three Exams, tentatively scheduled for

  1. July 19
  2. August 12
  3. August 23

Effective dates for the first two will be announced in class, and posted on the web page.

The exam scheduled for August 23 is on our last day of class, and its date is fixed.

Note: Summer Quarter does not have a dedicated Finals week, so the last exam does not allow for any more time than the others. All exams address, in principle, all the material that has ben covered in class up to that time.

One letter-sized double-sided “cheat sheet” allowed in exams.

In principle, there will be no makeups. If you have a serious and documented reason why you would miss an exam, report it beforehand, for a replacement test to be organized.

Homework:

Homework will be assigned weekly. Specifically designated homework will be graded for credit. Credit homework will be collected on Mondays.If you cannot turn in because of a forced absence, turn it in in advance. Late submissions will not be graded. However, you are encouraged to turn in past due homework anyway: it is better to do the work late than not to do it at all. As "reward" you will get a bonus for "participation".

Please, turn in your work in stapled standard letter-sized sheets. Group work is acceptable, and, in fact, encouraged. Be aware that you still need to master concepts and methods personally. Your homework submissions have to be by you alone, in your own words.

Guidelines for Exam & Homework Answers:

Do not forget to write your name. Anonymous work will not be graded. Write your answers in good English, and in good “Mathspeak”. Explain all your work: answers need to be justified. Stand-alone formulas, “yes”, “no”, numbers, etc. are not acceptable answers.

Grading:

Grades will be computed according to the following guideline:

Item

Percentage

Homework

10%

Exams (3)

30% each

The instructor reserves his right to deviate from this guideline, if circumstances (such as proved improvement, or the reverse) should warrant it.

The following is an approximate grading scale

Percentage Score

Grade

at least 90%

4.0

at least 70%

3.0

at least 55%

2.0

The instructor reserves his right to deviate from this guideline, if circumstances (such as proved improvement, or the reverse) should warrant it.

Grade Publication

To ensure confidentiality, grades will not be recorded on your papers, nor on this website. We will use Catalyst for grade posting.

Course Description

A First Course in Probability

We introduce the basic concepts of Probability Theory. We will start with the axioms, and then introducing events, dependence and independence of events, and random variables. While the core of the course are chapters 1-5 of the textbook, there will be a specific effort to introduce the basics of Chapter 6, and 8.

These further topics are central to probability and statistics, but cannot be covered adequately within the short time we have available. They will be covered in Math 395, which you are strongly encouraged to take, in order to acquire a reasonably rounded out failiarity with the foundations of Probability.

The topics are (italics denote material beyond Chapter 5)

  • Introduction to Probability
  • Axioms of Probability
  • Events
  • Dependence and Independence
  • Random Variables
  • Discrete Random Variables
  • Continuous Random Variables
  • Introduction to vector Random Variables
  • Basic Limit Theorems

For a detailed class schedule, refer to the class web page http://faculty.washington.edu/~fm1/394/Intros/

Required Reading

A First Course in Probability Theoryby Sheldon Ross (8th Edition). Pearson/Prentice Hall, 2010.

Other Items

Classroom Notes(complementary and not required) may occasionally be posted in PDF format.

 

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 Last Updated:
6/23/13

Contact the instructor at: fm1@u.washington.edu