Introduction to Materials Informatics
Welcome! 👋
Preamble 📜
1. Overview
2. Setup
3. Schedule (one page) 📅
Week 1️⃣
Day 01: Introductions
Intro to MI
Intro to Module 1
Intro to Python 🚀
Homework
Python - Gory details 🚀
Day 02: MI and data
Recap first day
Opportunities and challenges
Working with files 🚀
Processing tabular data 🚀
Databases
The Materials Project 🚀
Reading documentation
Homework
Day 03: MI research
Recap data discussion
Research discussion
Reading papers
Homework
Guided practice with dielectric data
Day 04: Data visualization
Intro to data visualization 🚀
Best practices for visualization
Follow-along notebook 🚀
Homework
Advanced data viz 🚀
Day 05: Research + guest speaker
Recap visualization discussion
Guest speaker: Ventura!
Brief intro to ML
Homework
Week 2️⃣
Day 06: ML speedrun (pt. 1)
Recap week 1
Introduction to ML
Follow-along notebook 🚀
Quantifying performance
Follow-along notebook 🚀
Homework
More ML practice 🚀
Day 07: ML speedrun (pt. 2)
Featurization
Follow-along notebook 🚀
Advanced ML methods
Follow-along notebook 🚀
Homework
Day 08: Research + guest speaker
Recap ML discussion
Practical considerations
Guest speaker: Austin!
Matminer features 🚀
Day 09: Research
Check-in meeting instructions
Day 10: Research
Week 3️⃣
Day 11: Juneteenth
Day 12: Research + grad school
Welcome back!
Grad school Q&A: Mark!
Day 13: Research
Giving presentations
Day 14: Research
GitHub pull requests
Peer review
Day 15: SLAM presentations!
Final presentations
Anastasia 📈
Jesse 🐧🐰🥭
Luis 🦙
Sydney 🦥
Summary
What’s next?
Appendices 📝
Acknowledgments
repository
open issue
Index
