| Week |
Topic |
Supplementary
Reading and Notes |
| 1 |
Sample spaces, events, conditioning
|
Chapter 1,2 |
| 2 |
Random variables
|
Chapter 3 |
| 3 |
Expectation and distributions
|
Chapter 4,5 |
| 4 |
Random walks and Markov chains
|
Random walks and electric networks |
| 5/6 |
Estimation
|
Chapter 6 |
| 6/7 |
Standard error and confidence intervals
|
Chapter 7 |
| 7/8 |
Hypothesis testing
|
Chapter 8 |
| 8 |
Synthetic data and visualization
|
|
| 9 |
Simulation and Monte Carlo methods
|
Chapter 11 |
| 10 |
Linear algebraic equations
|
|
| 11 |
Optimization techniques
|
|
| 12 |
Matrix decomposition methods
|
|
