Module 4

Syllabus | Module 4

Upcoming Cohort

Cohort 4 of the Earth Systems Data Science in the Cloud Course will go through Module 2 the week of November 4, 2024. The information below contains the detailed course materials from the previous cohort and will be updated with the Cohort 4 schedule shortly.

Day 1 | Monday, April 15, 2024

Module 4 Introduction (30 min)

0900-0930 April 15, 2024

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  • 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)

0930-1000 April 15, 2024

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

Managing Multiple Models (120 min)

1000-1200 April 15, 2024

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  • SciKit Learn
  • Gluon
  • Ensembling

Lunch and Learn

1200-1300 April 15, 2024

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  • Individual and Team Progress Check In

Team Project Work

1300-1630 April 15, 2024

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  • ML preparation
  • ML Training/Scaling

Day 2 | Tuesday, April 16, 2024

Ethics of Data Driven Science (60 min)

0900-1000 April 16, 2024

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  • 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)

1000-1100 April 16, 2024

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

Introduction to Deep Learning (60 min)

1100-1200 April 16, 2024

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

Lunch and Learn

1200-1300 April 16, 2024

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  • Machine Learning Background Discussion

Team Project Work

1300-1630 April 16, 2024

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  • ML Preparation
  • ML Training/Scaling

Day 3 | Wednesday, April 17, 2024

Data Visualization at Scale (90 min)

0900-1030 April 17, 2024

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

Considerations for Deep Learning (90 min)

1030-1200 April 17, 2024

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

Lunch and Learn

1200-1300 April 17, 2024

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Guest Lecture | Dr. Phil Klotzbach (60 min)

1300-1400 April 17, 2024

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  • Thank you Carl!

Team Project Work

1400-1630 April 17, 2024

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  • ML Finalization
  • Beginning Visualization

Day 4 | Thursday, April 18, 2024

Production ML (90 min)

0900-1030 April 18, 2024

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  • Principles
  • Tools
  • Deploying Models

Insight (90 min)

1030-1200 April 18, 2024

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  • Data Driven Science to Insight
  • Connecting the Dots

Lunch and Learn

1200-1300 April 18, 2024

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  • Team Project Check In

Team Presentation Training

1300-1630 April 18, 2024

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

Day 5 | Friday, April 19, 2024

Team Presentations | PDS (120 min)

0900-1100 April 19, 2024

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  • Capstone Presentations and Feedback.

Module Wrap Up (30 min)

1100-1130 April 19, 2024

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

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

1130-1200 April 19, 2024

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