Optimizing with Uncertainty: Cross Disciplinary Problem Solving
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.