- Course Introduction and Numerical Basics
- Numerical Linear Algebra and Optimization
- L2: Numerical linear algebra in Statistics
- Root-finding and optimization algorithms
- Bayesian Computing
- L6: Bayesian thinking
- L7: Introduction to Bayesian computing
- L8: Independent Monte Carlo Methods
- L9: Markov Chain Monte Carlo
- L10: Bayesian regression and prediction