Lecture 1 | Introduction to probability and statistics |

Lecture 2 | Fitting and parameter estimation |

Lecture 3 | Advanced fitting applications |

Lecture 4 | Maximum likelihood and confidence intervals |

Lecture 5 | Random number generators and Monte Carlo methods |

Lecture 6 | Unfolding |

Lecture 7 | Multivariate discriminants |

Lecture 8 | Neural networks |

Lecture 9 | Parton density functions |

Lecture 10 | Hard scattering generators |

Lecture 11 | Parton shower Monte Carlos |

Lecture 12 | Fragmentation and hadronization |

Lecture 13 | Track reconstruction |

Lecture 14 | Lepton identification and reconstruction |

Lecture 15 | B tagging |

Lecture 16 | Event shape variables |

Lecture 17 | Jet clustering algorithms |

Lecture 18 | Jet corrections and missing energy |

Lecture 18.5 | Oops - I forgot QCD |

Lecture 19 | Electroweak processes |

Lecture 20 | Forward-backward asymmetries |

Lecture 21 | Mass measurements |

Lecture 22 | Top quark production |

Lecture 23 | Top mass measurements |

Lecture 24 | Top cross section measurements |

Lecture 25 | Standard Model Higgs production |

Lecture 26 | Higgs cross section |

Lecture 27 | Higgs branching fractions |

Lecture 28 | BSM Higgs production |

Lecture 29 | Supersymmetry |

Lecture 30 | BSM searches |