Data Literacy in Mechanical Design Engineering

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Course Description

Fluency with data elevates your impact as a mechanical designer by driving quantitative design choices, rich analyses, and crisp communication. This course demystifies fundamentals like tolerance analyses and failure modes effects analyses. We will use interferential statistics to determine process sensitivity, and calculate if processes are capable within specification limits. Later we will wrangle large datasets in Python to produce rich visualizations and control recommendations. Finally, we will generate a discrete event simulation of an automated manufacturing line to increase production capacity.

Grading Basis

ROP - Letter or Credit/No Credit

Min

3

Max

3

Course Repeatable for Degree Credit?

No

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Programs

ME226 is a completion requirement for: