MSES 5020, Design of Experiments Fall 2014 Syllabus

MSES 5020, Design of Experiments Fall 2014 Syllabus:

Instructor: Leticia AnayaROOM : F187

E-mail: ocation: DP

Office Hours: Before and After ClassClass Meets:

Phone (940) 565-2022Monday Session: 7:00-9:50 p.m.

Wednesday Session: 7:00-9:50 p.m.

Notice:

The Engineering Technology Department, in cooperation with the Office of Disability Accommodation, complies with the Americans with Disabilities Act in making reasonable accommodations for qualified students with disabilities. Please present your written accommodation request to the instructor prior to the fourth day.

COURSE NUMBER, TITLE, CREDIT HOURS

MSES 5020 -Design of Experiments. 3 credit hours.

DESCRIPTION

A study of industrial analytical techniques used to develop new products and new technologies, including the use of engineering software for design purposes.

PREREQUISITES

Basic knowledge of statistics.

REQUIRED TEXTBOOK AND SOFTWARE -2

An Introduction to the Design and Analysis of Experiments by George C. Canavos and Ioannis A. Koutrouvelis, ISBN 13: 978-0-13-615863-9 Prentice Hall

OPTIONAL:

PARK, S. H. AND ANTONY, J. 2008. Robust Design for Quality Engineering and Six Sigma. Number ISBN 13: 9789812778673. World Scientific Publishing Co. Pte. Ltd., Singapore.

COURSE OBJECTIVES

(TAC of ABET Criteria and Program Educational Objectives supported.)

1. To introduce the student to methods of industrial research as currently practiced. (1,2,5)

2. To enable students to work in research positions and communicate with researchers. (3,4,6,7,8)

3. To allow students to develop their own ideas into processes and products in a technological way.

(3,4,5,8)

STUDENT LEARNING OUTCOMES (Course Objectives Supported)

Upon completion of the course, students will be able to:

1. Handle statistics of experimental planning. (1)

2. Plan, model and design an experiment using a computer. (1)

3. Evaluate the need for a new product using experimentation techniques. (2,3)

4. Evaluate the product in light of market data. (2,3)

5. Set up an industrial lab aimed at new product development. (1,3)

6. Investigate how industry accomplishes leading edge research. (2)

7. Review programs of funding research (government, academic, industrial-cooperative). (2)

8. Manage and/or participate in industrial research programs. (2,3)

LEARNING

STRATEGIES

This is a lecture-based course. The instructor will give explanatory lectures and students will implement these concepts in assigned homework problems and a project.

COURSE OUTLINE (Tentative-Subject to Change)

I. FOUNDATIONS

A. Introduction to Design of Experiments

B. Single Factor Completely Randomized Experiments

C. Randomized Complete and Incomplete Block Designs

D. Latin Square Designs

E. Factorial Experiments: Completely Randomized Designs

F. Factorial Experiments: Randomized Block and Latin Square Designs

G. Nested Factorial Experiments

H. 2f and 3f Factorial Experiments

I. Fractional Factorial Experiments

J. After Experimentation Techniques-Regression Analysis

Additional topics can be chosen from the following, time permitting.

I. CONDUCTING SIMPLE EXPERIMENTAL DESIGNS AND ANALYSIS

A. Experimental Design Example (Full Factorial)

B. Factorial Designs for 2-Level Factors

C. Analysis of a 2-Level Fractional Factorial Design

D. Two-Level Designs

E. Using Software for Analysis

F. Models

i. Model I: Fixed Effects

ii. Model II: Random Effects

iii. Model III: Mixed Effects

II. DESIGN TYPES

A. Full Factorial Designs

B. Fractional Factorials

C. Foldover Designs

D. Pluckett-Burman Designs

E. Box-Behnken Designs

F. Box-Wilson Designs

G. Taguchi Designs

III. STATISTICAL TECHNIQUES

A. Analysis of Variance

B. Two-Factor ANOVA

C. Simple Linear Regression

D. Polynomial Regression

E. Multiple Regression

F. ANOVA for Factors with More than 2 Levels

G. Determining Sample Size

IV. DATA ANALYSIS

A. Analyzing 2-Level Designs

B. Modeling Interactions

C. Robust Designs

D. Three-Level Modeling

V. TAGUCHI PHILOSOPHY, DESIGN, AND ANALYSIS

A. Taguchi Philosophy and Methodology

1. Loss Function

2. Quality Engineering

3. Quality by Design

4. Controllables and Noise

B. Taguchi Strategy of Experimentation

1. Saturated Fractional Experimental Designs

2. Designs that Assess Information About Noise

3. Signal-to-Noise Ratio

LABORATORY OUTLINE

Computer based assignments will be given.

Final Exam Scheduled for Monday December 8, 2014 at regular scheduled class time for the MONDAY SESSION and Wednesday, December 10, 2014 at regular scheduled class time for the WEDNESDAY SESSION.

COMPUTER USAGE

The student will use Minitab 15 English statistical software and Microsoft Office software on their personal computers to prepare homework/project reports/presentations.

ORAL COMMUNICATION USAGE

The course will be conducted in written and spoken English.

PRESENTATION GRADING GUIDE

Presentations will be graded on both a subjective, qualitative “look-and-feel” basis as well as an objective, quantitative basis. An illustrative presentation grading guide is provided in the Appendix.

WRITTEN COMMUNICATION USAGE

Course deliverables will be in written and spoken English.

WRITTEN GRADING GUIDE

Written deliverables will be graded on both a subjective, qualitative “look-and-feel” basis as well as an

objective, quantitative basis. An illustrative written grading guide is provided in the Appendix.

LIBRARY USAGE

This course does not contain a library usage component.

GRADING ELEMENTS AND WEIGHTS

The course grade will be determined as follows:

Exam 1 22.5%

Homework/labs/projects 30%

Exam 2 22.5%

Attendance 5%

Final Exam20%

GRADING POLICIES

1. Homework

Homework assignments and the project deliverables will be collected by the instructor.

2. Tests

There will be two (2) examinations administered during the semester. There will be no make-up examinations given. Both examinations will be comprehensive over the course work through the date of the examination.

3. Attendance

Regular and punctual class attendance is expected. No late arrivals and/or early leavings. A student

might not be admitted to the class/lab/exam if late. Please notify the professor of any absences of a

week or more. A student with two (2) class absences may be dropped without notification with a grade

of WF. Each missed class session (two hours and 50 minutes) counts as one class absence.

CLASS POLICIES

1. All rules relating to academic dishonesty will be enforced in accordance with University policies.

Cheating on quizzes, examinations and laboratory assignments, if any, and plagiarism on various papers

and reports are types of disciplinary misconduct for which penalties are assessed under the UNT Code

of Student Conduct and Discipline (available online as of January 5, 2012). Major responsibility for

implementing the University’s policy on scholastic dishonesty rests with the faculty. Be advised that

the instructor of this course supports and fully implements this policy. The following actions will be

taken when evidence of such misconduct is observed. The student will be presented with the evidence

of misconduct and given an opportunity to explain this evidence. Based on the outcome of this private

conference, the matter will be either dropped or the student will be given a grade of “F” in the course

and be referred to the Dean of Students for further counseling and/or disciplinary action.

2. State common law and Federal copyright laws protect my lectures. They are my own original expression. Whereas you are authorized to take notes in class thereby creating a derivative work from my lecture, the authorization extends only to making one set of notes for your own personal use and no

other use. You are not authorized to record my lectures, to provide your notes to anyone else or to make any commercial use of them without express, prior permission from me.

3. During the course, handouts may be provided to enhance the presentation of certain concepts. These

materials are provided strictly for instructional purposes and may otherwise be restricted. There is no

authorization for further reproduction of distribution of handout materials beyond that intended to teach this course.

4. This syllabus is subject to change at any time during the semester with changes to be announced in

class.

5. Students should schedule at least one hour per lecture hour for study outside class. Students should

schedule at least one hour per laboratory hour, if any, for outside work to prepare for the laboratory,

use of open laboratory hours, and to complete the required laboratory documentation.

6. Grades are based, in part, on the student’s ability to communicate. Well-written English is expected

in all course work and is a factor in laboratory report grades, if any. The student’s ability to orally

communicate the results of laboratory exercises, if any, and class assignments is also monitored.

7. Each student should retain graded quizzes, homework, exams, software-generated files, the course

project, and laboratory reports, if any, to document errors in recorded grades.

8. Requests for review of graded work must be submitted during the lecture in which such work is returned to the students. The request should be accompanied by a written justification of the request including any supporting data.

9. The procedures in the UNT Code of Student Conduct and Discipline on academic integrity (cheating

and plagiarism) will be vigorously enforced. It is the duty of all students to protect their work so it is

not available to others for submission as their efforts. This is especially true of files that are generated

on the computer. Students who knowingly allow others to use their work are partners in this unethical

behavior.

10. There is no limit to the use of calculators for lecture, labs, pop quizzes, formal tests, or final examination. All deliverables are open-text and open-notes.

11. Challenges to the course grade must be presented within 60 days of receipt of grade notices mailed

by the university. This will insure that the instructor’s records are still available to allow a review of

the assigned grade. You should first discuss your complaint with the instructor. If you wish to carry it

further, contact the Program Coordinator by calling (940) 565-2022. To further pursue your complaint,

contact the Department Chair at (940) 565-2022, but only after first discussing your concern with the

previous two individuals.

12. If appropriate, Material Safety Data Sheets (MSDS) are maintained on file in the department for your

review. Access to these documents may be provided by the: Instructor of this course, Program Coordinator, or Department Secretary.

Seek initial access through the instructor or Coordinator rather than the secretary.

13. An I (Incomplete) grade is given only for extenuating circumstances and in accordance with University and Departmental Policies.

APPENDIX

Presentation Grading Guide Written Grading Guide

PRESENTATION GRADING GUIDE

PRESENTOR NAME ______COURSE NAME ______

SEMESTER ______PROJECT TITLE ______

EVALUATION TOPIC POSSIBLE POINTS COMMENTS

1. Subject Introduction 0 1 2 ______

2. Organization of Topics 0 1 2 3 ______

3. Clear Descriptions 0 1 2 3 ______

4. Emphasized Pertinent 0 1 2 ______

Information

5. Quality and Effective Use of 0 1 2 3 ______

Visual Aids

6. Effective Conclusion 0 1 2 3 ______

7. Composure and Speaking 0 1 2 3 4 5 6 7 8 9 10 ______

8. Effective Demonstration 0 1 2 3 4 5 6 7 8 9 10 ______

with a working model

9. Project Technical Content 0 1 2 3 4 5 6 7 8 9 10 ______

10. Subjective Evaluation 0 1 2 3 4 ______

Composite Score ______

EVALUATOR COMMENTS ______

______

______

______

______

WRITTEN GRADING GUIDE

NAME ______COURSE NAME ______

REPORT DATE ______DUE DATE ______LABORATORY NUMBER_____

LABORATORY TITLE ______

EVALUATION TOPIC POSSIBLE POINTS COMMENTS

1. Objective 10 ______

2. Diagrams 10 ______

3. Expected Results 10 ______

4. Original Data Sheets 20 ______

5. Analysis of Results 10 ______

6. Conclusions 10 ______

7. Supportive Data 10 ______

8. Comments 10 ______

9. Professionalism signature 10 ______

Composite Score ______

Professionalism Signature (TA verifies the student preformed the experiment, that the position

computer is logged of and position is clean.):

______Date Completed:______

EVALUATOR COMMENTS ______

______

______

______

______