*This schedule is subject to change, so please check it regularly. We will notify the class of changes that affect the upcoming week or any other major changes…*

Week | Topic(s) | Reading |
---|---|---|

1 | Introduction | R4DS Ch. 1, 4, 6, 8, 17-21 DALS Ch. “Getting Started” |

2 | Data Wrangling | R4DS Ch. 5, 9-16 |

3 | Exploratory Data Analysis | R4DS Ch. 2, 3, 7 DALS Ch. “Exploratory Data Analysis” |

4 | Random Variables and Likelihood | AOS Ch. 2-3, 9.3, 9.13.2, 9.13.3 Optional: AOS Ch. 1 |

5 | Frequentist Inference | AOS Ch. 9, 10.1-10.4, 10.6, 10.8-10.10 |

6 | Bayesian Inference | AOS Ch. 11 |

7 | Numerical Methods for Likelihood | AOS 9.13.4 ESL Ch. 8.5 van Ravenzwaaij et al. (2016) |

8 | Nonparametric Inference | AOS Ch. 9.2, 10.5 NPS Ch. 2-3 |

9 | Statistical Modeling | AOS Ch. 13 DALS Ch. “Linear Models” |

10 | Statistical Modeling | ESL Ch. 5.1-5.6, 7, 9.1 NPS Ch. 4.1-4.3, 5.1-5.5 |

11 | Simultaneous Inference | AOS Ch. 10.7, 12.7 DALS Ch. “Inference for HD Data” Stigler (1990) Storey and Tibshirani (2003) |

12 | Dimension Reduction and Latent Variable Models | DALS Ch. “Distance and Dimension Reduction” DALS Ch. “Basic ML: Clustering” Leek and Storey (2007) |

Abbreviation | Full Title |
---|---|

AOS | All of Statistics |

NPS | All of Nonparametric Statistics |

DALS | Data Analysis for the Life Sciences |

ESL | The Elements of Statistical Learning, 2nd Ed. |

R4DS | R for Data Science |

- AOS and NPS chapter numbers refer to those in the PDF files available through Princeton University Library.
- DALS chapter titles refer to those from the Leanpub edition.
- Please obtain the most recent version of ESL from the authors’ web site.
- R4DS chapter numbers refer to those at http://r4ds.had.co.nz,
*NOT*the printed book chapter numbers.

Assignment | Due |
---|---|

Homework 1 | 11:59PM on Feb. 23 |

Homework 2 | 11:59PM on Mar. 9 |

Homework 3 | 11:59PM on Mar. 30 |

Homework 4 | 11:59PM on Apr. 13 |

Homework 5 | 11:59PM on Apr. 27 |

Final Project | 5:00PM on May 16 |