IEOR 165, Engineering Statistics, Quality Control and Forecasting, Summer 2009


Class times & Location: TuWTh 2.00-4.30pm, 3113 Etcheverry Hall

Instructor:
George Shanthikumar
Room: 4135 Etcheverry 
Email:  shanthikumar[AT]ieor[dot]berkeley[dot]edu
Office hours: TuTh 11.00-12.00pm

GSI:
Lian Yu
Room: 1116 Etcheverry
Email: liany[AT]ieor[dot]berkeley[dot]edu

Office hours: Tu 4.30-5.30pm


Announcements

. Porject due date has been changed to June 30 (Tuesday).

. Additional office hour for project 4-5pm @ 1116 Etch on June 29 (Monday).

. Additional office hour for final 12-1pm @ 1116 Etch on July 1 (Wednesday) and July 2 (Thursday).


Course Topics (tentative)
The course will introduce basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, design of experiments, analysis of variance and non-parametric statistics. Application of these statistical techniques in manufacturing and other Engineering systems will be one of the main focus of this course. Specific applications in
statistical process control, quality control and forecasting will be considered in detail. Process and quality control using x-bar, moving average, cumulative sum and range charts and forecasting based on moving averages, exponential smoothing and regression analysis will be studied.

Outline

 


Required Text:
Sheldon Ross, Introduction to Probability and Statistics for Engineers and Scientists,
3rd Edition, Academic Press.


Homeworks

homework1      solution

homework2      solution

homework3      solution

homework4      solution

homework5      solution


Project

Project

Distributions

Data