# Instructor Class Description

Time Schedule:

**Peter W Johnson**

IND E 315

Seattle Campus

### Probability and Statistics for Engineers

Application of probability theory and statistics to engineering problems, distribution theory and discussion of particular distributions of interest in engineering, statistical estimation and data analysis. Illustrative statistical applications may include quality control, linear regression, and analysis of engineering data sets. Prerequisite: either MATH 136, MATH 307, or AMATH 351. Offered: AWSpS.

**Class description**

In this course students will learn the basic fundamentals of probability and statistics. This course is designed to develop students probabilistic and statistical intuition.

**Student learning goals**

Identify various probability distributions

Calculate basic statistical measures

Conduct statistical analyses using either Excel or Minitab

Apply statistical methods to a real data set

**General method of instruction**

Lectures covering general concepts and problem examples.

**Recommended preparation**

Math 136, Math 307 or AMATH 131

**Class assignments and grading**

6 short homework assignments will be completed in addition students will complete a small project

Homework 20%
Midterm Exam 20%
Project 15%
Final 30%
Participation 5%

*The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.*

Last Update by Peter W Johnson

Date: 09/24/2012