Thomas Courtade, Spring 2020

Notes taken by Vanshaj Singhania

Date | Lecture Topic |
---|---|

January 19 | Introduction, Probability Basics |

January 21 | Bayes Rule, Independence, Random Variables |

January 26 | Random Variables, Expectation |

January 28 | Binomials, Variance, Correlation |

February 2 | Entropy, Continuous Distributions |

February 4 | Gaussian Distributions, Continuous Bayes |

February 9 | Conditional Variance, Order Statistics, Convolution |

February 11 | MGFs, Bounds/Concentration Inequalities |

February 16 | Convergence, Law of Large Numbers, Central Limit Theorem |

February 23 | Information Theory, Binary Erasure |

February 25 | Achievability, Information Transmission |

March 2 | Discrete Markov Chains |

March 4 | Classification of States, Big Theorem of Markov Chains |

All notes belong to me. All course content belongs to course staff.