Below is a tentative outline of course lectures, subject to change.

Date |
Topic |

January 25 | Introduction: Case Studies in Computational Social Science |

February 1 | Counting: An Introduction |

February 8 | Counting at Scale: MapReduce, Part I |

February 15 | Counting at Scale: MapReduce, Part II |

February 22 | Networks and Diffusion: Theory |

March 1 | Networks and Diffusion: Case studies |

March 8 | Complexity of Counting, Part I |

March 15 | Complexity of Counting, Part II |

March 22 | Spring Break |

March 29 | Data Wrangling |

April 5 | Online Experiments |

April 12 | Regression: Case Studies |

April 19 | Regression: Theory and Practice |

April 26 | Classification: Theory and Practice |

May 3 | Student Presentations |