| 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 |