The following is a tentative syllabus for the course. This page will be updated as changes occur.

## Date | ## Section(s) | ## Topic(s) |
---|---|---|

9/24 | 1.2 | Basic Probability |

9/26 | 1.2 | Basic Probability cont'd |

9/29 | 3.1 | Combinatorics: Permutations |

10/1 | 3.1; 3.2 | Permutations and Combinations |

10/3 | 3.2 | Combinations cont'd |

10/6 | 3.2 | Combinations cont'd |

10/8 | 4.1 | Conditional Probability |

10/10 | 4.1 | Conditional Probability cont'd |

10/13 | 4.1; 6.1 | Expected Value |

10/15 | 6.1 | Expected Value cont'd |

10/17 | 6.2 | Variance |

10/20 | 6.2 | Variance cont'd |

10/22 | Midterm Exam 1 | |

10/24 | 5.1 | Important Distributions |

10/27 | 5.1 | Important Distributions cont'd |

10/29 | 5.1 | Important Distributions cont'd |

10/30 | 8.1 | Law of Large Numbers |

10/31 | No class | |

11/3 | 9.1 | Central Limit Theorem |

11/5 | 9.1 | CLT cont'd |

11/7 | 9.1; 9.2 | CLT and Statistics, General CLT |

11/10 | 9.2 | General CLT cont'd |

11/12 | Midterm Exam 2 | |

11/14 | 11.1 | Introduction to Markov Chains |

11/17 | 11.2 | Absorbing Markov Chains |

11/19 | 11.2 | Absorbing Markov Chains cont'd |

11/21 | No class | |

11/24 | 11.3 | Regular Markov Chains |

11/26 | No class (Thanksgiving break) | |

11/28 | No class (Thanksgiving break) | |

12/1 | 11.3 | Ergodic Markov Chains |

12/3 | Review |