Spring 2022 (Syllabus)
A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictive models for challenges inspired by LEAP's research
- Introduction to LEAP CPC (Zheng)
- Introduction to Earth Systems and Climate Change (McKinley)
- Project 1 description Hurricanes and Clime Change starts
- Team activities
- Self introduction and a fun fact
- The LEAP crossword challenge
- Find a time to review and discuss project 1 materials as a group
- Tutorial on EDAV (Zheng)
- A deep dive into Project 1
- Project 1 starter codes (Jiaxu Li)
- Discussion and Q&A
- Presentation and submission instruction (Zheng)
- Team lightning shares
- Discussion and Q&A
- Project 1 presentations
- Project 2 starts.
- Data Science Tutorial
- Discussion and Q&A
- Climate Science Tutorial
- Discussion and Q&A
- Data Science Tutorial
- Discussion and Q&A
- Project 2 presentations
- Project 3 starts.
- Climate Science Tutorial
- Discussion and Q&A
- Data Science Tutorial
- Discussion and Q&A
- Project 3 update
- Q&A
- Tutorials
- Q&A
- Tutorials
- Q&A
- Project 3 submission and presentations