Computational Methods for Data Analysis

[0.50] credits · Undergraduate

This survey course introduces proven, stable computational methods for data analysis of large datasets in engineering. Algorithms to wrangle and analyze engineering data (time history, field variables), images, and motion will be introduced. Algorithms will be implemented in a computing environment and a case study in engineering data analysis will be carried out.