**Week** |
**Topics** |

Week 1 (1/12--1/16) |
Introduction: statistical software; review of simple linear regression. |

Week 2 (1/19--1/23) |
Multiple linear regression I |

Week 3 (1/26--1/30) |
Multiple linear regression II
**Homework #1 due**: January 30 (Friday) |

Week 4 (2/2--2/6) |
Logistic regression |

Week 5 (2/9--2/13) |
Review of one-way ANOVA
**Homework #2 due**: February 13 (Friday) |

Week 6 (2/16--2/20) |
Two-way ANOVA; introduction to the design of experiment |

Week 7 (2/23--2/27) |
Complete randomized block design; Latin square design
**Midterm exam: February
27 (Friday)** |

Week 8 (3/1--3/5) |
Factorial design
**Homework #3 due**: March 5 (Friday) |

Week 9 (3/15--3/19) |
Computer simulation: introduction. Generating samples from a given
distribution. |

Week 10 (3/22--3/26) |
Numerical integration; Monte Carlo integration; |

Week 11 (3/29--4/2) |
Variance reduction
**Homework #4 due**: April 2 (Friday) |

Week 12 (4/5--4/9) |
Resampling method: Bootstrap |

Week 13 (4/12--4/16) |
Introduction to Markov Chain Monte Carlo
**Homework #5 due**: April 16 (Friday) |

Week 14 (4/19--4/23) |
Nonparametric smoothing |

Week 15 (4/26--4/30) |
**Project presentation**
**Project written report due: **April 30 (Friday)
**Homework #6 due**: April 28 (Wednesday) |

Week 16 (5/3--5/7) |
**Final exam due: May
3 (Monday) 1:00 PM** |