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