Didactopus/examples/generated_topic_pack/concepts.yaml

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YAML

concepts:
- id: descriptive-statistics
title: Descriptive Statistics
description: 'Objective: Explain mean, median, and variance.
Exercise: Summarize a small dataset.
Descriptive Statistics introduces center and spread.'
prerequisites: []
mastery_signals:
- Summarize a small dataset.
mastery_profile: {}
- id: probability-basics
title: Probability Basics
description: 'Objective: Explain conditional probability.
Exercise: Compute a simple conditional probability.
Probability Basics introduces events and likelihood.'
prerequisites:
- descriptive-statistics
mastery_signals:
- Compute a simple conditional probability.
mastery_profile: {}
- id: prior-and-posterior
title: Prior And Posterior
description: 'Prior and Posterior are central concepts. Prior reflects assumptions
before evidence. Exercise: Compare prior and posterior beliefs.'
prerequisites:
- probability-basics
mastery_signals:
- Compare prior and posterior beliefs.
mastery_profile: {}
- id: model-checking
title: Model Checking
description: 'A weakness is hidden assumptions. A limitation is poor fit. Uncertainty
remains. Exercise: Critique a simple inference model.'
prerequisites:
- prior-and-posterior
mastery_signals:
- Critique a simple inference model.
mastery_profile: {}