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 |