IE 4521: Statistics, Quality, and Reliability

University of Minnesota, Fall 2009

Instructor: John Gunnar Carlsson
Office: ME 3101B
Phone: (612) 625-6574 (for probability emergencies)
Email: jgc {[at]} me {[dot}} umn {[dot]} edu
Office hours: Tuesdays, 1:15 - 3:15 PM, or by appointment
Required text: A. J. Hayter. Probability and Statistics for Engineers, third edition. Thomson Brooks/Cole, Belmont, CA. 2007.
Meeting time/location: Tuesday/Thursday 10:10 AM - 12:05 PM
31 Rapson Hall
Teaching assistants: Xiaoting Jin
Email: jinxx173 {[at]} umn dot edu
Office hours: Friday 10:00 AM - 11:00 AM, ME 1124
: Shuang Chen
Email: chen1958 {[at]} umn dot edu
Office hours: Tuesday 12:10 - 1:10, Wednesday 9:00 AM - 10:00 AM, ME 1124
Course summary: This course will begin with an introduction to probability and statistics, which will provide the basis for our study of more advanced topics, including regression analysis, design of experiments, quality control, and reliability theory. Students are not assumed to have prior knowledge of probability and statistics. However, a basic knowledge of calculus is needed.
Grading

Grading will be based on problem sets, two midterm exams, and a final exam. The exams are roughly scheduled as follows:

Midterm 1: Tuesday, October 27, in class Practice midterm Solution
Midterm 2: Tuesday, November 24, in class Practice midterm 2 Solution
Final exam: 10:30 AM-12:30 PM, December 17

We will have 10 problem sets, all of which will be graded. Students may collaborate in groups of two or three on homework, but each student must write up their own assignments. In addition, students must write the names of all collaborators at the heading of each assignment. Assignments must be neatly written with all pages stapled together.

Course grades will be broken down as follows:

Midterm 1	30%
Midterm 2	30%
Final exam	30%
Problem sets	10%

Problem sets

Lecture slides

Course topics

The following is a rough outline of the course topics:

Week	Topics	Chapters
1	Intro to probability	1,2
2	Random variables	2,3,4
3	More random variables	2,3,4
4	The normal distribution	5
5	Reliability theory	17
6	Intro to statistics, estimation	7
7	Estimation, confidence intervals	7,8
8	Confidence intervals, hypothesis testing	8
9	Comparing population means, reliability theory	9,17
10	More reliability theory	17
11	ANOVA, regression	11,12
12	Regression	12,13
13	Multifactor experiments	14
14	Quality control	16
15	More quality control	16

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On 10 Sep 2009, 14:21.