Data Literacy in Mechanical Design Engineering

3 credits · Graduate

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.