These are the lectures notes that I took during the probablity sequence at UW
| Lectures | Topics Covered |
|---|---|
| Lecture One | Combinatorial Analysis |
| Lecture Two | Sample Space, Axioms of probablity |
| Lecture Three | Random Variables, Infinitely many trials, Condtional Probablity |
| Lecture Four | Bayes formula and indpendence |
| Lecture Five | Indpendent trails, Binomial and Geometric Distributions |
| Lecture Six | Probablity Mass Functions, Uniform Distributions, Expectation |
| Lecture Seven | Variance, Gaussian Distrubtion |
| Lecture Eight | Normal Approxmiation to Binomial, Cofidience Interverals |
| Lecture Nine | Poisson approxmation to Binomial |
| Lecture Ten | Exponetial and geometric distrbutions |
| Lecture Eleven | Distrubtuion of a function of a random variable |
| Lecture Tweleve | Tail bounds and weak law of large numbers |