Online (MANE6313.90L)

MANE 6313: Design of Experiments (online)

SYLLABUS

Fall 2021 Term

Course Information:

Meeting Times: Online courses are offered asynchronously

Meeting Location: not applicable

Course Modality: Online Asynchronous Courses (OASYNC)

Instructor Information:

Instructor Name: Dr. Douglas Timmer

Phone: (956) 665-2608

E-mail: douglas.timmer@utrgv.edu

Office Location: ENGR 3.258

Office Hours: M-R 10:00 - 11:00 am or by appointment

COURSE DESCRIPTION

Randomization and blocking, significance tests and confidence intervals, factorial design, applications of factorial designs, modeling building with least squares, and response surface methodologies

COURSE PREREQUISITE

MANE 2332 - Engineering Statistics or MANE 3332 - Engineering Statistics or equivalent

COVID-19 Resources

UTRGV Students are eligible to receive the COVID-19 Vaccine. Students may access and complete their vaccine profile via the UTRGV Vaccine Portal. For additional information on the COVID-19 Vaccine, please visit the UTRGV Vaccine web page.

Learning Objectives/Outcomes for MANE 6313

Student Learning Outcome	Program Student Learning Outcomes	Major Course Requirement/Major Assignment/Examination
Analyze simple comparitive experiments and experiments with a single factor	2. design, develop and evaluate engineering systems and models using technical methods and approaches, to improve business performance measures and 3. apply theories and tools in quality management to enhance performance of an organization	Homework
Select an appropriate experimental designs for experiments with one or more factor(s)	2. design, develop and evaluate engineering systems and models using technical methods and approaches, to improve business performance measures and 3. apply theories and tools in quality management to enhance performance of an organization	Homework, Factorial projects, RSM project
Select an appropriate model for design with one or more factor(s)	2. design, develop and evaluate engineering systems and models using technical methods and approaches, to improve business performance measures and 3. apply theories and tools in quality management to enhance performance of an organization	Homework, Factorial projects, RSM project
Evaluate statistical analyses of experimental designs	2. design, develop and evaluate engineering systems and models using technical methods and approaches, to improve business performance measures and 3. apply theories and tools in quality management to enhance performance of an organization	Homework, Factorial projects, RSM project
Assess the model adequacy of any experimental design	2. design, develop and evaluate engineering systems and models using technical methods and approaches, to improve business performance measures and 3. apply theories and tools in quality management to enhance performance of an organization	Homework, Factorial Projects, RSM project
Interpret model results	2. design, develop and evaluate engineering systems and models using technical methods and approaches, to improve business performance measures and 3. apply theories and tools in quality management to enhance performance of an organization	Homework, Factorial Projects, RSM project

Learning Objectives for Core Curriculum Requirements

This course does not satisfy any core curriculum requirements

TEXTBOOK, TECHNOLOGY, AND/OR RESOURCE MATERIAL

The following textbook is required for completion of Design of Experiments.

Required Textbook

The following textbook is required for this course.

Montgomery, Douglas C. (2017). Design and Analysis of Experiments, 9th edition. John Wiley & Sons.

Technology

This course will extensively use Minitab software for the design and analysis of experiments. Minitab is available at vLabs.

Grading Policies

Your performance in this course will be evaluated in the following manner:

Component	% of Overall Grade
Homework	25%
Fractional Factorial Projects	30%
RSM Project	30%
Participation	15%

Homework

There is only one method to learn and master engineering material - work problems. The best method to ensure that you excel in this course is to diligently complete all of your homework assignments. There will be representative homework problems assigned each week. Solutions will be posted in Blackboard one week after the due date of each homework assignment.

Fractional Factorial Projects

You will have two individual project assignments that are worth 30% of your overall course grade. The first project is to analyze the current operating condition of a manufacturing plant. The second project is to perform a fractional factorial design. The weighting of the two project grades will be announced during the semester.

RSM Project

In lieu of a final examination, a response surface methodology project will be completed by each student.

Participation

Embedded in the lesson materials will be various assignments such as discussion board postings.

Letter Grade Assignment

An overall course average will be calculated using the weighting scheme specified above. Your course average will be a value between 0 and 100. Your final letter grade will be assigned using the following definition.

Course Average	Letter Grade
90 - 100	A
80 - 89	B
70 - 79	C
<70	F

Late Work

Descriptions of each assignment, including due dates, will be provided throughout the course. All assignments should be submitted on their due date using the provided Blackboard drop box. The course policy for late work is a 10% penalty per day for work submitted after the deadline. After one week, no credit will be given for late work. No late work will be accepted after study days. There will be cetain assignments where late work will not be accepted. This fact will clearly be stated in the apporpriate assignments.

Students who miss graded assignments will receive a grade of zero. If you are ill or have a serious problem that prevents you from submitting an assignment on the day it is due, please contact me prior to the due date and we will arrange an alternative date.

BLACKBOARD SUPPORT

If you need assistance with course technology at any time, please contact the Center for Online Learning and Teaching Technology (COLTT).

Campus:	Brownsville	Edinburg
Location	Casa Bella (BCASA) 613	Education Complex (EEDUC) 2.202
Phone	956-882-6792	956-665-5327

Toll Free: 1-866-654-4555

Office Hours: Monday - Friday, 7:30 a.m. - 6:00 p.m. Support Tickets Submit a Support Case via our Ask COLTT Portal

24/7 Blackboard Support

Need Blackboard assistance after hours? You can call our main office numbers, 956-882-6792 or 956-665-5327, to speak with a support representative.

ATTENDANCE:

Students are expected to attend all scheduled classes and may be dropped from the course for excessive absences. For a course offered remotely, students are expected to actively engage in all course activites and complete all assignments by posted deadlines. UTRGV's attendance policy excuses students from attending class if they are participating in officially sponsored university activities, such as athletics; for observance of religious holy days; or for military service. Students should contact the instructor in advance of the excused absence and ?arrange to make up missed work or examinations. Absences due to health issues, including COVID-19, will be excused with medical documentation and appropriate accomodations arranged.

Makeup Work:

Students with valid and documented excused absences will be offered makeup work. All lectures, assignments, and tests are provided within the Blackboard course webpage.

Please note the UTRGV recommendations regarding the use of recordings in courses.

The use of recordings will enable you to have access to class lectures, group discussions, etc. in the event you have to miss a synchronous or face to face class meeting due to illness or other extenuating circumstance. Our use of such technology is governed by the Federal Educational Rights and Privacy Act (FERPA), UTRGV’s acceptable-use policy, and UTRGV HOP Policy STU 02-100 Student Conduct and Discipline. A recording of class sessions will be kept and stored by UTRGV, in accordance with FERPA and UTRGV policies. Your instructor will not share the recordings of your class activities outside of course participants, which include your fellow students, teaching assistants, or graduate assistants, and any guest faculty or community-based learning partners with whom we may engage during a class session. You may not share recordings outside of this course. Doing so may result in disciplinary action under UTRGV HOP Policy STU 02-100 Student Conduct and Discipline.

ACADEMIC INTEGRITY:

Members of the UTRGV community uphold the Vaquero Honor Code’s shared values of honesty, integrity and mutual respect in our interactions and relationships. In this regard, academic integrity is fundamental in our actions, as any act of dishonesty conflicts as much with academic achievement as with the values of honesty and integrity. Violations of academic integrity include, but are not limited to: cheating, plagiarism (including self-plagiarism), and collusion; submission for credit of any work or materials that are attributable in whole or in part to another person; taking an examination for another person; any act designed to give unfair advantage to a student; or the attempt to commit such acts (Board of Regents Rules and Regulations, STU 02-100, and UTRGV Academic Integrity Guidelines). All violations of Academic Integrity will be reported to Student Rights and Responsibilities through Vaqueros Report It.

STUDENTS WITH DISABILITIES:

Students with a documented disability (physical, psychological, learning, or other disability which affects academic performance) who would like to receive reasonable academic accommodations should contact Student Accessibility Services (SAS) for additional information. In order for accommodation requests to be considered for approval, the student must apply using the mySAS portal located at www.utrgv.edu/mySAS and is responsible for providing sufficient documentation of the disability to SAS. Students are required to participate in an interactive discussion, or an intake appointment, with SAS staff. Accommodations may be requested at any time but are not retroactive, meaning they are valid once approved by SAS. Please contact SAS early in the semester/module for guidance. Students who experience a broken bone, severe injury, or undergo surgery may also be eligible for temporary accommodations.

Title IX of the Education Amendments of 1972 prohibits sex discrimination, which includes discrimination based on pregnancy, marital status, or parental status. Students seeking accommodations related to pregnancy, pregnancy-related condition, or parenting (reasonably immediate postpartum period) are encouraged to apply to Student Accessibility Services using the following link: Pregnancy Accommodations Request Form https://www.utrgv.edu/pregnancy

Student Accessibility Services:

Brownsville Campus: Student Accessibility Services is located in 1.107 in the Music and Learning Center building (BMSLC) and can be contacted by phone at (956) 882-7374 or via email at ability@utrgv.edu.

Edinburg Campus: Student Accessibility Services is located in 108 University Center (EUCTR) and can be contacted by phone at (956) 665-7005 or via email at ability@utrgv.edu.

MANDATORY COURSE EVALUATION PERIOD:

Students are required to complete an ONLINE evaluation of this course, accessed through your UTRGV account (http://my.utrgv.edu); you will be contacted through email with further instructions. Students who complete their evaluations will have priority access to their grades. Online evaluations will be available on or about:

Course Term	Evaluation Dates
Module 1 (7 weeks)	October 6-12, 2021
Module 2 (7 weeks)	December 1-7, 2021
Fall Regular Term 2021	November 12 – December 1, 2021

SEXUAL MISCONDUCT and MANDATORY REPORTING:

In accordance with UT System regulations, your instructor is a “Responsible Employee” for reporting purposes under Title IX regulations and so must report to the Office of Institutional Equity & Diversity (OIED@utrgv.edu) any instance, occurring during a student’s time in college, of sexual misconduct, which includes sexual assault, stalking, dating violence, domestic violence, and sexual harassment, about which she/he becomes aware during this course through writing, discussion, or personal disclosure. More information can be found at www.utrgv.edu/equity, including confidential resources available on campus. The faculty and staff of UTRGV actively strive to provide a learning, working, and living environment that promotes personal integrity, civility, and mutual respect that is free from sexual misconduct, discrimination, and all forms of violence. If students, faculty, or staff would like confidential assistance, or have questions, they can contact OVAVP (Office for Victim Advocacy & Violence Prevention) at (956) 665-8287, (956) 882-8282, or OVAVP@utrgv.edu.

COURSE DROPS:

According to UTRGV policy, students may drop any class without penalty earning a grade of DR (drop) until the official drop date. Following that date, students must be assigned a letter grade and can no longer drop the class. Students considering dropping the class should be aware of the “3-peat rule” and the “6-drop” rule so they can recognize how dropped classes may affect their academic success. The 6-drop rule refers to Texas law that dictates that undergraduate students may not drop more than six courses during their undergraduate career. Courses dropped at other Texas public higher education institutions will count toward the six-course drop limit. The 3-peat rule refers to additional fees charged to students who take the same class for the third time.

STUDENT SERVICES:

Students who demonstrate financial need have a variety of options when it comes to paying for college costs, such as scholarships, grants, loans and work-study. Students should visit the Student Services Center (U Central) for additional information. U Central is located in BMAIN 1.100 (Brownsville) or ESSBL 1.145 (Edinburg) or can be reached by email (ucentral@utrgv.edu) or telephone: (888) 882-4026. In addition to financial aid, U Central can assist students with registration and admissions.

Students seeking academic help in their studies can use university resources in addition to an instructor’s office hours. University Resources include the Advising Center, Career Center, Counseling Center, Learning Center, and Writing Center. The centers provide services such as tutoring, writing help, counseling services, critical thinking, study skills, degree planning, and student employment. In addition, services such as the Food Pantry are also provided. Locations are listed below.

Center Name	Brownsville Campus	Edinburg Campus
Advising Center AcademicAdvising@utrgv.edu	BMAIN 1.400 (956) 665-7120	ESWKH 101A (956) 665-7120
Career Center CareerCenter@utrgv.edu	BINAB 1.105 (956) 882-5627	ESSBL 2.101 (956) 665-2243
Counseling Center Counseling@utrgv.edu Counseling and Related Services List	BSTUN 2.10 (956) 882-3897	EUCTR 109 (956) 665-2574
Food Pantry FoodPantry@utrgv.edu	BCAVL 101 & 102 (956) 882-7126	EUCTR 114 (956) 665-3663
Learning Center LearningCenter@utrgv.edu	BMSLC 2.118 (956) 882-8208	ELCTR 100 (956) 665-2585
Writing Center WC@utrgv.edu	BUBLB 3.206 (956) 882-7065	ESTAC 3.119 (956) 665-2538

Calendar

A Typical Week

Day of Week	Activity
Monday	Weekly Material Posted
Tuesday	Optional Zoom Meeting 6:00 pm
Wednesday	Previous Weekly Assigment(s) due

Calendar of Lecture Activities

Week	Topic
1 - August 24	Syllabus, Blackboard, Minitab and Chapter 1
2 - August 31	Chapter 2 - Simple Comparitive Experiments
3 - September 7	Chapter 3 - One-way ANOVA
4 - September 14	Chapter 4 - Randomized Block Design, ...
5 - September 21	Chapter 5 - Introduction to Factorial Designs
6 - September 28	Chapter 6 - 2^k Factorial Designs
7 - October 5	Chapter 7 - Blocking and Confounding...
8 - October 12	Chapter 8 - Fractional Factorial Designs
9 - October 19	Chapter 10 - Fitting Regression Models
10 - October 26	Chapter 11 - Response Surface Methodology
11 - November 2	Chapter 11 - Mixture Designs
12 - November 9	Chapter 14 - Split Plot Designs
13 - November 16	Chapter 9 - 3-level Designs
14 - November 23	Design Optimality and space filling designs
15 - November 30	Machine Learning, Data Science and DOE
16 - December 7	RSM Project due

Tentative Project Assignment Dates

Project	Assignment Date
Fractional Factorial Project 1	September 7
Fractional Factorial Project 2	October 19
RSM Project	November 2

Calendar of 3-2-1 Assignments

Week	Topic(s)
4	Chapters 1-3
8	Chapters 4-7
9	Chapter 8
11	Chapters 10-11
16	Remainder of course materials

Important University Dates

Date	Event
August 24	First day of classes
August 26	Last day to add a class or register
September 6	Labor Day Holiday -- No Classes
November 10	Last day to drop a class or withdraw
November 25 - 26	Thanksgiving Holiday - NO classes
December 2	Study Day - No classes
December 3 - 9	Final Exams
December 7	MANE 6313 Final Exam
December 13	Grades due at 3 pm