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 2
Intro to Python
Homework
Python: The greatest hits
Python: The gory details
Day 02: MI and data
Recap first day
Opportunities and challenges
File types
Tabular data
Databases
The Materials Project
Reading documentation
Homework
Day 03: Data visualization
Recap data discussion
Data visualization
Best practices for visualization
Follow-along notebook
Reading papers
Homework
Advanced visualizations
Day 04: ML speedrun
Recap visualization discussion
Introduction to ML
Follow-along notebook
Quantifying performance
Follow-along notebook
Featurization
Follow-along notebook
Advanced ML methods
Follow-along notebook
Homework
Day 05: MI research
Recap ML discussion
Research discussion
Practical considerations
Homework
Installing Python locally (optional)
Week 2️⃣
Day 06: Independence Day
Day 07: Research
Welcome back!
Day 08: Research + guest speaker
Guest speaker: Alex!
Proposals
Review of matminer features
Day 09: Research
Check-in meeting instructions
Day 10: Research + guest speaker
Guest speaker: Austin!
Week 3️⃣
Day 11: Research + grad school
Grad school Q&A: Mark!
Giving presentations
Day 12: Research + guest speaker
GitHub pull requests
Guest speaker: Ventura!
Day 13: Research
Day 14: Slam presentations
Peer review
Final presentations
Day 15: Conclusions
Summary
What’s next?
Appendices 📝
1. Acknowledgements
2. Future directions 🛣
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Summary
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Day 15: Conclusions
What’s next?
