General Information | Syllabus | HW Assignments |

On the other hand, the weekly syllabus contained in the Homework Assignments page will always be accurate.

Lectures | Sections in Text | Brief Description |
---|---|---|

9/22 | 1.2 | Basic Probability |

9/27 | 1.2;3.1 | Basic Probability; Combinatoric: Permutations |

9/29 | 3.2 | Combinations |

10/4 | 3.2;4.1 | Combinations; Conditional Probability |

10/6 | 4.1 | Conditional Probability |

10/11 | 6.1 | Expected Value |

10/13 | 6.2 | Variance |

10/18 | Midterm Exam 1 | |

10/20 | 5.1 | Important Distributions |

10/25 | 5.1 | Important Distributions cont'd |

10/27 | 8.1 | Law of Large Numbers |

11/1 | 9.1 | Central Limit Theorem: Bernoulli Trials |

11/3 | 9.2 | CLT: Independent Trials |

11/8 | 9.2 | CLT: Independent Trials cont'd |

11/10 | Midterm Exam 2 | |

11/15 | 11.1;11.2 | Introduction to Markov Chains |

11/17 | 11.2 | Absorbing Markov Chains |

11/22 | 11.3 | Regular Markov Chains |

11/24 | No class(Thanksgiving break) | |

11/29 | 11.3 | Ergodic Markov Chains |

12/1 | Review | |

12/5 | Final Exam |

Marius Ionescu

Last updated May 31, 2008 12:24:09 EDT