The following is a (tentative) schedule of the weekly content of the course. You should skim through the section to get the main idea before coming to class and then read through the section in more detail after class.
|
|
|
|
|
|
|---|---|---|---|---|
| 1 | March 25--29 | 1.2, 3.1 | Probability Basics, Permutations | |
| 2 | April 1--5 | 3.2 | Combinations, Binomial Distribution | |
| 3 | April 8--12 | 4.1, 4.3, 6.1 | Conditional Probability, Paradoxes, Expected Value | |
| 4 | April 15--19 | 6.2, 5.1 | Variance, Important Distributions: Uniform, Binomial, Geometric, Negative Binomial | |
| 5 | April 22--26 | Midterm April 25 | 5.1, 7.1 | Important Distributions: Poisson, Hypergeometric, Benford; Sums of Random Variables, Generating Functions |
| 6 | April 29--May 3 | 8.1, 9.1, 9.2 | Chebyshev's Inequality, Law of Large Numbers, Central Limit Theorem | |
| 7 | May 6--10 | 11.1, 11.2 | Markov Chains and Absorbing Chains | |
| 8 | May 13--17 | 11.3, 11.4, 11.5 | Ergodic Chains | |
| 9 | May 20--24 | 12.1, 12.2 | Random Walks | |
| 10 | May 27--31 | May 29 is the last day of class. | Extras | Further topics |