主要内容：
1. What is a Markov chain?
2. Some examples for simulation, approximate counting, Monte Carlo integration, optimization
3. Basic concepts in MC design: transition matrix, positive recurrence, ergodocity.

教学部门：Statistical Computing and Inference in Vision and Image Science