Didactopus/examples/sample_course_notes.md

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Introductory Bayesian Inference

Module 1: Foundations

Descriptive Statistics

Descriptive Statistics introduces measures of center and spread.

Probability Basics

Probability Basics introduces events, likelihood, and Bayes-style reasoning.

Module 2: Bayesian Updating

Prior and Posterior

A Prior expresses assumptions before evidence. Posterior reasoning updates belief after evidence.

Capstone Mini Project

  • Exercise: Write a short project report comparing priors and posteriors. This project asks learners to critique assumptions and produce a small capstone artifact.