Notes from the Spring 2018 offering of EE 126 at UC Berkeley.
| Lecture | Note |
|---|---|
| 01/16/18 | Sample Space and Probability |
| 01/18/18 | Discrete Random Variables |
| 01/23/18 | Variance, Geometric Distribution |
| 01/25/18 | Poisson Properties, Entropy |
| 01/30/18 | Continuous Probability |
| 02/01/18 | Derived Distributions, Convolution |
| 02/06/18 | Moment-Generating Functions |
| 02/08/18 | Bounds and Limits |
| 02/13/18 | Convergence |
| 02/20/18 | Binary Erasure Channel I |
| 02/22/18 | Binary Erasure Channel II |
| 02/27/18 | Discrete-Time Markov Chains I |
| 03/01/18 | Discrete-Time Markov Chains II |
| 03/06/18 | DTMCs III, Poisson Process I |
| 03/08/18 | Poisson Process II |
| 03/13/18 | Continuous-Time Markov Chains I |
| 03/15/18 | Continuous-Time Markov Chains II |
| 03/20/18 | Random Graphs |
| 03/22/18 | MAP, MLE I |
| 04/03/18 | MAP, MLE II |
| 04/05/18 | Hypothesis Testing |
| 04/10/18 | LLSE |
| 04/12/18 | MMSE |
| 04/17/18 | Joint Gaussians |
| 04/19/18 | Kalman Filter |
| 04/24/18 | Hidden Markov Models |
| 04/26/18 | EM Algorithm |