MFGEN 401
Data Analysis
Manufacturing Engineering
Ira A. Fulton College of Engineering
Course Description
Basic statistical methods, with an emphasis on manufacturing applications. Topics include sampling guidelines, design of experiments, analysis of variance, regression analysis, and model selection. Introduction to using Excel spreadsheets, Access databases, and VBA programming for data analysis.
When Taught
Fall
Grade Rule
Grade Rule 8: A, B, C, D, E, I (Standard grade rule)
Min
3
Fixed
3
Fixed
3
Fixed
0
Title
Statistics & Data Analysis Tools
Learning Outcome
Students will understand the roles of descriptive & inferential statistics in manufacturing and demonstrate the ability to collect and analyze data according to statistical best practices.
Title
Design of Experiments
Learning Outcome
Students will understand the advantages of controlled factorial experiments and demonstrate the ability to set up and draw conclusions from factorial experiments.
Title
Regression Analysis
Learning Outcome
Students will understand and be able to correctly use ANOVA, simple and multiple linear regression, and model fit assessment tools.
Title
Semester Project
Learning Outcome
Students will apply data analysis best practices to an open-ended engineering problem and professionally communicate the experiment, analysis, and recommendations.
