Syllabus | Module 4

Day 1 | Monday, March 24, 2025

Module 4 Introduction (30 min)

• Welcome Back
• Interim Check In
• Where we are in Earth Systems Data Science in the Cloud
• Course Goals and Objectives
• Module Goals and Objectives
• Course Logistics

Team Project Module Goals (30 min)

• Team Project Check-In
• Team Project Goals
• Presentation
• Report

Managing Multiple Models (120 min)

• SciKit Learn
• Gluon
• Ensembling

Lunch and Learn

• Individual and Team Progress Check In

Team Project Work

• ML preparation
• ML Training/Scaling

Day 2 | Tuesday, March 25, 2025

Ethics of Data Driven Science (60 min)

• Case Studies
• How does the work we do impact other people?
• How can our work adversely impact other people?
• Ethical considerations of tool use

Ethical Project Perspectives (60 min)

• Ethical Consideration Workflow
• XAI and IML Ethical Considerations
• Ramifications of Stupid AI
• The ethical importance of Objective Functions

Introduction to Deep Learning (60 min)

• Neural Network Architecture
• Unique considerations
• Applications and Implementations
• Training Pipelines
• Hands On Practice

Lunch and Learn

• Machine Learning Background Discussion

Team Project Work

• ML Preparation
• ML Training/Scaling

Day 3 | Wednesday, March 26, 2025

Data Visualization at Scale (90 min)

• Data Visualization Tools & Ecosystems
• Considerations for Production Figures
• MatPlotLib in Python
• HoloViz Ecosystem

Considerations for Deep Learning (90 min)

• Epochs
• Batches & Batch size
• Data Generators
• Training, Validation, and Test Sets

Lunch and Learn

Team Project Work

• ML Finalization
• Beginning Visualization

Day 4 | Thursday, March 27, 2025

Production ML (90 min)

• Principles
• Tools
• Deploying Models

Insight (90 min)

• Data Driven Science to Insight
• Connecting the Dots

Lunch and Learn

• Team Project Check In

Team Presentation Training

• Clear Communication
• Body Language
• Story Telling
• Methods Focus
• Takeaways

Day 5 | Friday, March 28, 2025

Team Presentations | PDS (120 min)

• Capstone Presentations and Feedback

Module Wrap Up (30 min)

• Closing
• Moving to Model Development
• Interim Period
• Next Steps

Bonus Session: Clouds (with an S ) (30 min)

• Other Clouds: how AWS compares with Google, Microsoft, IBM, and other clouds
• Working and negotiating with Cloud Service Providers
• Working with Solution Architects