| SES # | TOPICS | KEY DATES |
|---|---|---|
| 1 | Permutations and combinations | |
| 2 | Multinomial coefficients and more counting | |
| 3 | Sample spaces and set theory | |
| 4 | Axioms of probability | |
| 5 | Probability and equal likelihood | Problem Set 1 due |
| 6 | Conditional probabilities | |
| 7 | Bayes’ formula and independent events | |
| 8 | Discrete random variables | Problem Set 2 due |
| 9 | Expectations of discrete random variables | |
| 10 | Variance | Problem Set 3 due |
| 11 | Binomial random variables, repeated trials and the so-called modern portfolio theory | |
| 12 | Poisson random variables | |
| 13 | Poisson processes | Problem Set 4 due |
| 14 | More discrete random variables | |
| 15 | Review for midterm exam 1 | |
| 16 | Midterm exam 1 | |
| 17 | Continuous random variables | |
| 18 | Normal random variables | Problem Set 5 due |
| 19 | Exponential random variables | |
| 20 | More continuous random variables | |
| 21 | Joint distribution functions | Problem Set 6 due |
| 22 | Sums of independent random variables | |
| 23 | Expectation of sums | |
| 24 | Covariance and some conditional expectation exercises | Problem Set 7 due |
| 25 | Conditional expectation | |
| 26 | Moment generating functions | |
| 27 | Weak law of large numbers | Problem Set 8 due |
| 28 | Review for midterm exam 2 | |
| 29 | Midterm exam 2 | |
| 30 | Central limit theorem | |
| 31 | Strong law of large numbers and Jensen’s inequality | |
| 32 | Markov chains | Problem Set 9 due |
| 33 | Entropy | |
| 34 | Martingales and the optional stopping time theorem | |
| 35 | Martingales and risk neutral probability | |
| 36 | Risk neutral probability and Black-Scholes | |
| 37 | Review for final exam | Problem Set 10 due |
| 38 | Review for final exam (cont.) | |
| 39 | Review for final exam (cont.) | |
| 40 | Final exam |
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