MANE 3332.03: Engineering Statistics
Syllabus
Spring 2025
Subject to any new Texas legislative mandate changes.
Course Information (Required on all syllabi per HB 2504)
Meeting Times: TR 11:00 am - 12:15 PM Meeting Location: ECOBE 120G
Course Modality: Traditional Face-to-Face Courses (TR)
Instructor Information (Required on all syllabi per HB 2504)
Instructor Name: Dr. Douglas Timmer
UTRGV E-mail: douglas.timmer@utrgv.edu Office Phone: (956) 665-2608 Office Location: EENGR 3.258 Office Hours: M-R 9:30 - 10:45 am or by appointment
Course Description, Prerequisites & Course Modality (Required)
Special Designations
- None
Course Description
Fundamentals of probability, commonly encountered density functions, distribution functions, statistical tests and experimental designs as used in manufacturing and product design. Includes use of microcomputer-based statistical analysis software.
Prerequisites
MATH 2413 and credit for or enrollment in MATH 2414
Course Modality
This course is offered as a traditional face-to-face course.
Course Assignments & Learning Objectives (Required on all syllabi per HB 2504)
Learning Objectives
| Student Learning Outcome | Program Student Learning Outcomes | Major Course Requirement/Major Assignment/Examination |
|---|---|---|
| Apply binomial, hypergeometric, Poisson and normal distributions to solve manufacturing engineering problems | ABET SO 1, an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | Practice Problems, Online Quiz, Mid-term Exam |
| Identify correct distribution for solving common manufacturing engineering problems | ABET SO 6, an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | Mid-term Exam |
| Apply appropriate graphical and numerical tools to analyze manufacturing engineering problems | ABET SO 1, an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | Final Exam |
| Perform statistical test of hypothesis for single and two samples and construct confidence intervals for single samples and two samples | ABET SO 6, an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | Practice Problems, Online Quizzes, Final Exam |
| Identify correct test of hypothesis and confidence interval formula for manufacturing engineering problems | ABET SO 6, an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | Final Exam |
| Perform simple and multiple linear regression analysis | ABET SO 6, an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | Final Exam |
Course Assignments
I expect all students to fully participate in the course and exhibit professional behavior. There is only one method to learning and master material of a mathematical or statistical nature - work problems. Your learning will be evaluated using the following types of assignments.
Attendance
You are expected to attend all course lectures. Attendance will be taken within the first 10 minutes of the lecture. Attendance will recorded using bubble sheets provided by Dr. Timmer. Attendance will be taken after the twelfth class day.
Practice Problems
Most major topics will have a set of practice problems. Practice problems are online evaluations that evaluate your ability to perform a statistical analysis. Practice Problems are not timed and have an unlimited number of attempts. Your highest score for each Practice Problem will be used in assessment. Practice Problems will remain available until the course final exam.
Online Quizzes
Online quizzes are the equivalent of homework problems. After a set of practice problems are assigned, an online quiz generated by the same program used for the practice problems will be assigned. The Online Quizzes will be 30 minutes in duration, a single attempt will be allowed, and a deadline will be specified.
Examinations
There will be two major examinations in this course: a mid-term exam and a final exam. Students can prepare a single, handwritten 4 inch by 6 inch notecard for each exam. The exams will be closed book. Any needed reference tables will be provide by Dr. Timmer.
Technical Project/Report
There will be one technical project/report in this course during the school term. The technical project/report is design to measure the students' ability to research, analyze the results of research and to write a technical report related to topics within this course. Further information regarding the course report will be provided at a later date.
Assessment of Learning/Grading Policy (Required on all syllabi per HB 2504)
Course Average
Your course average will be calculated using the proportions specified in the table below.
| Component | % of Course Average |
|---|---|
| Attendance | 7% |
| Practice Problems | 8% |
| Online Quizzes | 15% |
| Technical Report/Project | 20% |
| Mid-term Exam | 25% |
| Final Exam | 25% |
Final Letter Grade
UTRGV's grading policy is to use straight letter grades (A, B, C, D, or F) (no + or -). Your final letter grade will be assigned using the definition provided in the table below.
| Course Average | Letter Grade |
|---|---|
| 90 - 100 | A |
| 80 - 90 | B |
| 70 - 80 | C |
| 60 - 70 | D |
| <60 | F |
Late Work
Descriptions of each assignment, including due dates, will be provided throughout the course. All assignment should be submitted on or before their due date through Blackboard. The following rules apply:
- 10% penalty per day for work submitted after the due date,
- after one week, no credit will be given for late work,
- no late work will be accepted after study day,
- certain will will not be accepted (these assignments will clearly be labelled).
Missing Assignments
Student 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 (if possible) and arrangements for an alternative due date will be made.
Required Readings, Technology Needs, and Resource Materials (Required on all syllabi per HB 2504)
Textbook - required
Students are encouraged to explore renting a digital copy to reduce textbook costs.
Applied Statistics and Probability for Engineers, 7th edition
Author(s): Douglas. C. Montgomery and Geroge C. Runger
Edition: 7th
Copyright Year: 2018
Publisher: John Wiley and Sons
International Standard Book Number (ISBN-13): 978-11194095333
International Standard Book Number (ISBN-10): 119409535
Additional Content Needed: None
Open Educational Resource (OER): No
Blackboard
This course will utilize Blackboard for its course management software. Blackboard is maintained by the Center for Online Teaching and Technology (COLTT). You can access Blackboard through any Java-enabled web browser. Suitable web browsers are installed in the Intel lab in the Engineering build and other computer laboratories throughout campus.
To access Blackboard you will need an UTRGV e-mail account. Most students should have an UTRGV email account.
R
This course will use R or more precisely R Markdown to perform some statistical analyses. R Markdown is available in the open source application RStudio IDE provided by Posit. Detailed instructions for the installation and use of R will be provided later in the course. RStudio IDE is an open-source application (free) that will run on Windows, Mac and Linux operating systems. RStudio is also available via UTRGV Labs.
Tentative Calendar of Activities (Required on all syllabi per HB 2504)
| Lecture | Date | Topic | Assignment |
|---|---|---|---|
| 1 | 1/21 | Introduction to Blackboard, Syllabus, Me Talk, Grit | |
| 2 | 1/23 | Chapter 1: Role of Statistics | |
| 3 | 1/28 | Chapter 2: Probability | |
| 4 | 1/30 | Chapter 2: Probability | PP: Single Event |
| 5 | 2/4 | Chapter 2: Probability | PP: Two Events |
| 6 | 2/6 | Chapter 3 | PP: CDF |
| 7 | 2/11 | Chapter 3 | PP: Binomial |
| 8 | 2/13 | Chapter 3 | PP: Poisson |
| 9 | 2/18 | Chapter 4 | |
| 10 | 2/20 | Chapter 4 | PP: Standard Normal |
| 11 | 2/25 | Chapter 4 | PP: Normal |
| 12 | 2/27 | Chapter 4 | PP: Exponential, PP: Weibull |
| 13 | 3/4 | Mid-term Review | |
| 14 | 3/6 | Mid-term Exam | Mid-term Exam |
| 15 | 3/11 | Chapter 5 | PP:Linear Combinations |
| 16 | 3/13 | Introduction to R | |
| 17 | 3/18 | Spring Break: no class | |
| 18 | 3/20 | Spring Break: no class | |
| 19 | 3/25 | Chapter 6: Numerical Summaries & R | |
| 20 | 3/27 | Chapter 6: Descriptive Statistics & R | |
| 21 | 4/1 | Chapter 8 | PP: Chapter 8, Case 1 |
| 22 | 4/3 | Chapter 8 | PP: Chapter 8, Case 2 |
| 23 | 4/8 | Chapter 8 | PP: Chapter 8, Case 3 & PP:Chapter 8, Case 4 |
| 24 | 4/10 | Chapter 9 | PP: Chapter 9, Case 1 |
| 25 | 4/15 | Chapter 9 | PP: Chapter 9, Case 2 |
| 26 | 4/17 | Chapter 9 | PP:Chapter 9, Case 3 & PP:Chapter 9, Case 3 |
| 27 | 4/22 | Chapter 11 | |
| 28 | 4/24 | Chapter 12 | |
| 29 | 4/29 | Review | |
| 30 | 5/1 | Review | |
| 31 | 5/6 | Review | |
| 32 | 5/13 | Final Exam 10:15 AM - 12:00 PM | Final Exam |
| 5/19 | Grades are due at 3 PM |
Course Policies and Procedures
LEARNING AND TEACHING ENVIRONMENT
Welcome to Engineering Statistics (MANE 3332)! I’m Dr. Doug Timmer, and I’m excited to guide you through this essential course. We’ll explore key statistical methods like probability distributions, hypothesis testing, and regression analysis, all crucial for solving engineering problems. With over 25 years of experience in academia and industry, I’ll help you gain practical skills using tools like R and Markdown. My goal is to make learning engaging and relevant, preparing you for success in your engineering career. Let’s make this a great semester!
ATTENDANCE
Attendance is mandatory. After the course census date, attendance will be taken using Akindi forms provided by the instructor. Please review the UTRGV attendance policy.
When setting your attendance policy, please consider extenuating circumstances. Accommodations related to long-term complications from medical conditions should go through SAS. Students should contact the instructor in advance of the excused absence and arrange to make up missed work or examinations.
Recorded Lectures
The use of classroom recordings 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. As referenced in UTRGV HOP Policy STU 02-100 Student Conduct and Discipline, doing so may result in disciplinary action.
Artificial Intelligence (AI) Technologies
Generative AI technologies are growing and evolving rapidly. We will have an opportunity to explore the benefits, challenges, and ethical decisions engineers encounter in the use of AI in this course. Generative AI will be incorporated into this course in a limited and specified manner.
Students are discouraged from using Generative AI technologies such as Chat GPT or Microsoft Copilot for Practice Problems. The goal of Practice Problems is to gain confidence and proficiency in your engineering analysis and Generative AI technologies will not be available for in-class tests. Use of Generative AI for Online Quizzes is prohibited and will result in a grade of zero and be reported as academic dishonesty. AI tools for Research will be incorporated in the preparation of the Technical Report.
ACADEMIC INTEGRITY
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.
Student Support Resources
Technical Support (optional)
If you need assistance with course technology (Blackboard) at any time, please contact the Center for Online Learning and Teaching Technology (COLTT).
University Policy Statements
We are committed to your personal, academic, and professional success; please know you can reach out to me for questions and/or I can help you identify the resources you need. UTRGV offers student support resources designed to contribute to your well-being and academic excellence.
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. These centers provide services such as tutoring, writing help, counseling services, critical thinking, study skills, degree planning, and connections student employment (through Handshake and HR 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 | EITTB 1.000 (956) 665-7120 |
| Career Center CareerCenter@utrgv.edu | BINAB 1.105 (956) 882-5627 | ESTAC 2.101 (956) 665-2243 |
| Counseling Center Counseling@utrgv.edu Mental Health 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 |
| University Library www.utrgv.edu/library circulation@utrgv.edu | BLIBR (956) 882-8211 | ELIBR (956) 665-2585 |
| Learning CenterLearningCenter@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 |
STUDENT ACCESSIBILITY SERVICES
Student Accessibility Services staff can be contacted at either campus to learn about and explore accessibility services.
| Campus: | Brownsville | Edinburg |
|---|---|---|
| Location: | Music and Learning Center (BMSLC, 1.107 | University Center (EUCTR, 108) |
| Phone: | phone (956) 882-7374 | phone (956) 665-7005 |
| ability@utrgv.edu | ||
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. The student must apply for accommodations using the mySAS portal and is responsible for providing sufficient documentation of the disability to SAS. Upon submission of the request, students should expect 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 moving forward after approval by SAS. Students should 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. Please contact Student Accessibility Services (SAS) for more information.
PREGNANCY, PREGNANCY-RELATED, AND PARENTING ACCOMODATIONS
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 should submit the request using the form found at Pregnancy and Parenting | UTRGV.
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 any instance of sexual misconduct, which includes sexual assault, stalking, dating violence, domestic violence, and sexual harassment to the Office of Title IX and Equal Opportunity (otixeo@utrgv.edu). More information can be found on the OTIXEO website. If students, faculty, or staff would like confidential assistance, or have questions, they can contact OAVP (Office for Advocacy & Violence Prevention).
MANDATORY COURSE EVALUATION PERIOD
Students have the opportunity to complete an ONLINE evaluation of this course, accessed through your my.UTRGV account. Course evaluations are used by the instructor to inform revisions of the course to ensure student success. Course evaluations are also used by the instructor for annual performance review and promotion applications, teaching award applications, among others.
Online evaluations will be available on or about:
| Term | Dates |
|---|---|
| Spring Module 1 (7 weeks) | February 19 - 25, 2025 |
| Spring Regular Term 2025 | April 16 - May 7, 2025 |
| Spring Module 2 (7 weeks) | April 16 - 22, 2025 |
Important University Dates
A subset of the Spring 2025 Academic calendar containing important dates is provided below. The entire academic calendar is available at https://www.utrgv.edu/_files/documents/admissions/utrgv-academic-calendar.pdf and the final exam schedule is available at https://www.utrgv.edu/ucentral/_files/spring-2025-final-exam-schedule_12-17-24.pdf.
| Date | Event |
|---|---|
| January 20 | Martin Luther King Day (no classes) |
| January 21 | First day of classes |
| January 26 | Last day to add a class or register |
| February 5 | Census Day |
| March 17 - 22 | Spring Break (no classes) |
| April 10 | Last day to drop a class or withdraw |
| April 18-19 | Easter Holiday (no classes) |
| May 8 | Study Day (no classes) |
| May 9-15 | Final Exams |
| May 13 | MANE 3332.03 Final Exam 10:15 AM - 12:00 PM |
| May 19 | Grades due at 3 pm |