Level of expertise and familiarity the material in this course assumes you have. The greater the amount of introductory material taught in the course, the less you will need to be familiar with when learner attend.
The course is beneficially to anyone working in materials or an industry that builds on a material interaction platform. Those are like Pharmaceuticals, Regenerative Medicine, Energy, or Materials Engineering, who is interested in understanding how to optimize a material’s structure and performance. In addition also to profession like lead scientists, software engineers, technology outreach directors, sustainability directors, technical leaders, entrepreneurs, founders, investors, creatives and science communicators, and policymakers/influences who wants/needs of new opportunities in material design.
Also, participants will get expected to review a carefully curated collection of readings and vides in preparation for the course. Those materials will help maximize your experience. In support, participants will have the chance to complete a pre-course survey to help the instructors/guidance identify common interests and challenges participants want to solve in the machine learning clinic.