Instructor: Dr. Kurt Palmer

Office: GER 206B

Hours: M,W 1:15 - 2:45 pm

Phone: 740-5960

E-mail: kpalmer@usc.edu

Recommended Preparation: ISE 225 Engineering Statistics I (or equivalent)

Objective: In this course, you will develop the skills necessary to plan efficient data collection activities, derive empirical models of physical systems, and perform sequential optimization studies based upon the empirical models.

Text: Myers & Montgomery, "Response Surface Methodology", second edition

Course Material: Chapters 1-7 and 11 of the text, plus topics discussed in lecture by the instructor. For details, see the Reading Assignments

Grading Policies:

Points Breakdown -

Homework 90

Project 150

Exam #1 140

Exam #2 __ 120 __

Subtotal 500

Final Exam 150

Course GRADES will be determined by the distribution of point totals for the class. "Natural groupings" will be used to assign letter grades. The highest scoring group will receive A’s, the next group is the B’s, and so on. A single point will not be the difference between any two letter grades. A "gap" must exist to create a grade boundary.

HOMEWORK assignments will be due on the following Wednesdays:

Homework will be graded on an "all or nothing" basis. A reasonable attempt at each exercise will earn all 15 points. Late assignments will be accepted up to one week after the original due date.

A PROJECT will be due on the following date:

The project will involve investigation and optimization of a response surface. You will collect data from a computer simulation, in order to model the surface. For this project, you may work either individually or in pairs. The project assignment will be distributed about two or three weeks in advance of the due date.

An EXAM will be given on each of the following dates:

Each exam will cover the material presented up to and including the preceeding homework assignment. Points will be assigned to each section of the exam. Partial credit will be awarded according to work shown. No re-takes will be allowed. No make-up exam will be given. If you miss an exam, you must take the final exam.

The FINAL EXAM is scheduled for **Friday, May
7**. It will be comprehensive and will be graded similarly to the other
exams. A student may elect to omit the final exam, if both exams and the
project have been completed.