ENGR 315: Probability and Statistics

 

Recent Changes
Syllabus
Homework
Projects
Resources
Grading

Welcome

Welcome to ENGR 315 - Introduction to Probability and Statistics for Engineers.  I am hoping the we will have a productive course this term.  To facilitate the class, this web site has been created.  On this first page, I provide a brief statement concerning the scope of the course, the people involved, and the text.  Other pages provide information about lectures, homework assignments, projects, grading, and the syllabus.

Verify your Grades: Check up on us by checking out your grades.
Recent Changes List:  To see a list of recent changes, click here.
Course/Lecture Notes:  For course notes click here.

Scope and Learning Objectives

At the end of this course, you should be able to do the following:

Describe data, particularly large data sets
Model data using mathetical formulations and concepts of uncertainty
Ask and answer questions (state and test hypotheses) about uncertainty in data.
Identify and recognize domains in which these questions are important.

To achieve these learning objectives, we will cover the first 10 chapters of the textbook   The main content areas of the course include (a) Descriptive statistics, (b) Probability, (c) Random Variables, (d) Models of random data via distributions, (e) Inferences on population parameters and pairs of population parameters, and (f) Introductory concepts for multi-variate statistics.

People

Dr. Jennifer Turns. - Primary Instructor;
Contact Info  221 Engineering Annex, jturns@engr.washington.edu, 221-3650
Office Hours  Tuesday and Thursday, 3:00-4:30, Engineering Annex 221 (or by appt)
Smith Sukapanpotharam - Teaching Assistant
Contact Info  smithy@u.washington.edu
Office Hours  Wednesday and Friday, 10:00-11:00, MEB-B14 (or by appt)
Eric Tsai - Teaching Assistant
Contact Info  ytsai@u.washington.edu
Office Hours  Monday and Wednesday, 1:30-2:30 (after class), MEB-153 (or by appt)

Main Resources

Textbook: Montgomery and Runger (1999), Applied Statistics and Probability for Engineers, John Wiley and Sons: New York.
Website: The course web page (located at http://courses.washington.edu/~stats315) will contain a variety of useful resources including (a) slides from the lectures, (b) the homework assignments and solutions, (c) the project assignments and sample project reports, and (d) links to simulations, data-sets, texts, and other resources available on the Web and in printed form.