Didactopus/examples/generated_pack/concepts.yaml

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1.1 KiB
YAML

concepts:
- id: descriptive-statistics
title: Descriptive Statistics
description: Descriptive Statistics introduces measures of center and spread.
prerequisites: []
mastery_signals:
- Explain mean, median, and variance.
mastery_profile: {}
- id: probability-basics
title: Probability Basics
description: Probability Basics introduces events, likelihood, and Bayes-style reasoning.
prerequisites:
- descriptive-statistics
mastery_signals:
- Explain conditional probability.
mastery_profile: {}
- id: prior-and-posterior
title: Prior and Posterior
description: A Prior expresses assumptions before evidence. Posterior reasoning
updates belief after evidence.
prerequisites:
- probability-basics
mastery_signals:
- Explain a prior distribution.
- Explain how evidence changes belief.
mastery_profile: {}
- id: capstone-mini-project
title: Capstone Mini Project
description: This project asks learners to critique assumptions and produce a small
capstone artifact.
prerequisites:
- prior-and-posterior
mastery_signals:
- Write a short project report comparing priors and posteriors.
mastery_profile: {}