- Fundamentals of Data Science for Materials Scientists (FALL CS 671D/ ECE 687D/ STA 671D Theory and Algorithms for Machine Learning, Cynthia Rudin)
- Fundamentals of Materials Science for Data Scientists (FALL ME 555 Materials Synthesis and Processing, David Mitzi)
- Applications in Data and Materials Science (ME 555)
Spring 2021: 13 weeks Jan 20-April 21. Tu/Th 10:15-11:30 am
Special topics course. AI principles will be applied to a series of materials science example problems, each taught in a module by an expert in materials science or data science. Each module spans 2-3 weeks, demonstrating an array of data science/AI methods in unique materials case studies in advancing discovery or design principles. Each module will have a homework assignment which will include application of AI methods to the module topic. No final exam. Pre-requisites: prior materials science course and prior AI/ML course; instructor permission.
- Joint AI in Materials Capstone Project Course (year long)