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

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.