Cooper Union

Data-Driven Problem Solving in Mechanical Engineering

This course focuses on the implementation of data analysis in mechanical engineering, providing insights, identifying possible problems in engineering systems, and providing solutions to identified problems. The course will discuss how to: 1) visualize and classify information; 2) identify problems in engineering systems using data analysis and machine learning tools; 3) predict characteristics of engineering systems; provide data-driven solutions for engineering problems using data mining; and design products and structures informed by data trends. A broad range of applications within mechanical engineering will be discussed.

Prerequisite or co-requisite: ME200

Credits: 3.00

Course Code: ME 371

Founded by inventor, industrialist and philanthropist Peter Cooper in 1859, The Cooper Union for the Advancement of Science and Art offers education in art, architecture and engineering, as well as courses in the humanities and social sciences.
“My feelings, my desires, my hopes, embrace humanity throughout the world,” Peter Cooper proclaimed in a speech in 1853. He looked forward to a time when, “knowledge shall cover the earth as waters cover the great deep.”
From its beginnings, Cooper Union was a unique institution, dedicated to founder Peter Cooper's proposition that education is the key not only to personal prosperity but to civic virtue and harmony.
Peter Cooper wanted his graduates to acquire the technical mastery and entrepreneurial skills, enrich their intellects and spark their creativity, and develop a sense of social justice that would translate into action.