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Optimizing with Uncertainty: Cross Disciplinary Problem Solving

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In Grand Challenge Scholars Program

Title

Optimizing with Uncertainty: Cross Disciplinary Problem Solving

Description

Engineering problems vary and can be approached through a number of different processes. Selecting the best process to fit the problem is a key part of making improvements and reaching the desired solution. This portfolio examines some of the various approaches available to an engineer and develops a framework for problem solving that draws inspiration from machine learning, design process, entrepreneurship, and many other fields. Using the best process to fit the task allows an engineer to make efficient and effective progress.

Date Published

2018-03-26 15:12:59

Files

  • Download Metz_GCSPportfolio.pdf

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In Copyright - Educational Use Permitted

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Olin College of Engineering

An undergraduate engineering institution exploring innovative approaches to engineering education since its founding in 1997.

1000 Olin Way
Needham, MA 02492
781.292.2390