# Unit 1 · Bayesian networks

Subject: Intelligent Systems II

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/is2/#tee/read/u1-bn

Canonical: https://deep-learning-study-room.vercel.app/read/is2/tee/read-chapter/u1-bn/

Unit 1 · Semantics of Bayesian networks and exact inference · 10-mark PYQ in both papers

1. [Bayesian networks: structure, CPTs and the chain rule](https://deep-learning-study-room.vercel.app/read/is2/tee/read/u1-bn--semantics/)
2. [Inference in Bayesian networks: enumeration, α and variable elimination](https://deep-learning-study-room.vercel.app/read/is2/tee/read/u1-bn--inference/)
3. [Solved PYQ: wet grass given no rain (Final 2025, 10 marks)](https://deep-learning-study-room.vercel.app/read/is2/tee/read/u1-bn--sprinkler/)
4. [Solved PYQ: fever given no flu (Re-exam 2026, 10 marks)](https://deep-learning-study-room.vercel.app/read/is2/tee/read/u1-bn--flu-network/)