Course schedule old
Click on class name for slides, and if available panopto for recording
The course schedule is subject to change.
Week | Date | Lecture | Lab | ||
1 | Nov 28 | 0 | Intro | No lab | |
2 | Oct 3 | 1 | probability & statistics | No lab | |
Oct 5 | 2 | git & github | |||
3 | Oct 10 | 3 | statistical building blocks | 1 | discontinuous distributions, converting to sigma |
Oct 12 | 4 | probability basic | |||
4 | Oct 17 | 5 | Analytic distributions & their relationships | 2 | Probability, Distributions, and Statistical Questions |
Oct 19 | 6 | Guest lecture 1: particle physics | |||
5 | Oct 24 | 7 | Moving torward real world data | 3 | Asking a statistical question |
Oct 26 | Guest lecture 2: observational cosmology | ||||
6 | Oct 31 | 8 | Metadata | 4 | Working with 'real' data, Estimate bkg |
Nov 2 | 9 | Worries & Data exploration | |||
7 | Nov 7 | 10 | Working with real data: Lab data intro | 5 | lab data exploration: LHC & HERA |
Nov 9 | 11 | Guest lecture LHC | |||
8 | Nov 14 | 12 | Confidence interval I | 6 | event optimization |
Nov 16 | 13 | Confidence interval II | |||
9 | Nov 21 | 14 | Lab 4 intro | No lab | |
Nov 23 | No lecture | ||||
10 | Nov 28 | 15 | Upperlimits | 7 | signal injection |
Nov 30 | 16 | Jackknife tests | |||
11 | Dec 5 | 17 | Selection bias, blind & semi-blind analysis | 8 | final project |
Dec 7 | 18 | Introduction to quality plots |