MANE 6313
Week 1, Module A
Student Learning Outcome
Succeed in MANE 6313.
Module Learning Outcome
Understand the organization of the MANE 6313 course.
Course Information
MANE 6390.01R Optional Zoom Meeting: R 8:00 - 8:30 pm, Dr.Timmer's Zoom Room
All weekly meetings will be recorded and available to all students in Blackboard.
Course Modality: Online Asynchronous Course (OASYNC)
Instructor Information
Instructor Name: Dr. Douglas Timmer UTRGV E-mail: douglas.timmer@utrgv.edu Office Phone: 956-665-2608 Office Location: ENGR 3.258 Office Hours: Monday through Thursday 8:30 - 10:45 AM, or by appointment
Welcome and Teaching Philosophy
Welcome to MANE 6313. This is one of my favorite courses to teach. I hope to bring my industrial experiences as a statistician in a chemical plant and as a technical consultant applying neural networks to manufacturing processes.
I would strongly encourage you to review the additional material on Grit and adopt these principles in your studies. Remember that effort counts twice and adopt a growth mindset.
Course Description, Prerequisites & Course Modality
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
Course Modality
This course is offered as a hybrid/Reduced Seating Course (REDUC).
Required Readings, Technology Needs, and Resource Materials
The following textbook is required for completion of Design of Experiments.
Required Textbook
Montgomery, Douglas C. (2019). Design and Analysis of Experiments, 10th edition. John Wiley & Sons. ISBN: 978-1-119-49244-3. E-book cost: $120.00, E-book rental (120 days): $42.00.
Technology
This course will extensively use R Markdown software for the design and analysis of experiments. This is the first semester that R Markdown will be used instead of Minitab. R Markdown will be implemented in the RStudio IDE which is free software. One of the advantages of R Markdown on R Studio is the software works on Windows, Mac OS and Linux systems. The UTRGV vLabs also offers R Studio that can be run online utilizing a virtual machine but is an older version. Additional information on R Markdown and R Studio will be provided during Week Two.