Core Courses

  1. Fundamentals of Data Science for Materials Scientists (FALL CS 671D/ ECE 687D/ STA 671D Theory and Algorithms for Machine Learning, Cynthia Rudin)
  2. Fundamentals of Materials Science for Data Scientists (FALL ME 555 Materials Synthesis and Processing, David Mitzi)
  3. 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.

  4. Joint AI in Materials Capstone Project Course (year-long)