Engr207b: Linear Control Systems 2

Lecture Slides

These slides are from last year. During the quarter we may post updated versions here.

1. Introduction

2. Probability on finite sets

3. Random variables

4. Estimation and prediction

5. Random vectors

6. Classification

7. Continuous random variables

8. Continuous random vectors

9. Conditional density

10. MMSE estimation

11. The linear model

12. Recursive estimation

13. The Kalman filter

14. Gaussian stochastic processes

15. Estimating moments

16. Regression and learning

17. Bias and variance

Extra lectures

1. Detection