The following schedule is tentative and subject to change.

Date |
Topic |
Readings |
Assignments & Project |

Jan 8 | Introduction & Course Overview |
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Jan 10 | Background & Basics (Probability) | PDM Chapter 4.1-4.3, Appendix | Assignment 1 is out |

Jan 15 | Background & Basics (Linear algebra, sampling) | PDM Chapter 4.7 | |

Jan 17 | Background & Basics (Statistical inference, hypothesis testing) | PDM Chapter 4.4-4.6 | Assignment 1 due (Sunday Jan 20, 11:59pm) |

Jan 22 | Elements of Data Mining Algorithm | ||

Jan 24 | Data Exploration and Visualization | PDM Chapter 3 | |

Jan 29 | Predictive Modeling Overview | PDM Chapter 6.1-6.3, 10.1-10.2 | |

Jan 31 | Predictive Modeling: Naive Bayes | PDM Chapter 10.8 | Assignment 2 is out |

Feb 5 | Predictive Modeling: Decision trees | PDM Chapter 5.2, 10.5 | |

Feb 7 | Predictive Modeling: Nearest neighbor | PDM Chapter 10.3, 10.6, 11.4 | |

Feb 12 | Predictive Modeling: Logistic regression, SVM | Assignment 2 due (Wednesday Feb 13, 11:59pm) | |

Feb 14 | Predictive Modeling: Search & Optimization 1 | PDM Chapter 8.1-8.3 | |

Feb 19 | Predictive Modeling: Search & Optimization 2 | Assignment 3 is out | |

Feb 21 | Predictive Modeling: Neural network & Evaluation | PDM Chapter 10.10 | |

Feb 26 | Predictive Modeling: Wrap-up | Final project guideline is out | |

Feb 28 | Review |
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Mar 5 | In-class Midterm |
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Mar 7 | Predictive Modeling: Ensembles (Bagging & Boosting) | Assignment 3 due (Friday Mar 8 11:59pm) | |

Mar 12 | No class (Spring break) |
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Mar 14 | No class (Spring break) |
Final project proposal due (Sunday Mar 17, 11:59pm) | |

Mar 19 | Predictive Modeling: Ensembles (Boosting & Random forest) | Assignment 4 is out | |

Mar 21 | Guest Lecture: Deep Learning (Professor Yexiang Xue) |
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Mar 26 | Final project pitch |
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Mar 28 | Descriptive Modeling Overview | Assignment 4 due (Sunday Mar 31 11:59pm) | |

Apr 2 | Descriptive Modeling: K-means & Hierarchical clustering | PDM Chapter 9.3-9.5 | |

Apr 4 | Descriptive Modeling: GMM & Expectation maximization | PDM Chapter 9.2, 9.6 | Assignment 5 is out |

Apr 9 | Descriptive Modeling: Evaluation | ||

Apr 11 | Pattern Mining | PDM Chapter 11 | |

Apr 16 | Guest Lecture: Causal Inference (Professor Elias Bareinboim) |
Assignment 5 due (Sunday Apr 19 11:59pm) | |

Apr 18 | No class (Project Day) |
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Apr 23 | Final project presentation (Session 1) |
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Apr 25 | Final project presentation (Session 2) |
Final report due (Sunday Apr 28 11:59pm) |

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