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 2529  1.2, 3.1  Probability Basics, Permutations  
2  April 15  3.2  Combinations, Binomial Distribution  
3  April 812  4.1, 4.3, 6.1  Conditional Probability, Paradoxes, Expected Value  
4  April 1519  6.2, 5.1  Variance, Important Distributions: Uniform, Binomial, Geometric, Negative Binomial  
5  April 2226  Midterm April 25  5.1, 7.1  Important Distributions: Poisson, Hypergeometric, Benford; Sums of Random Variables, Generating Functions 
6  April 29May 3  8.1, 9.1, 9.2  Chebyshev's Inequality, Law of Large Numbers, Central Limit Theorem  
7  May 610  11.1, 11.2  Markov Chains and Absorbing Chains  
8  May 1317  11.3, 11.4, 11.5  Ergodic Chains  
9  May 2024  12.1, 12.2  Random Walks  
10  May 2731  May 29 is the last day of class.  Extras  Further topics 