Schedule overview

The workshop runs July 4 though July 7. The topics list will depend on our interactions with each other as we get a feel for the background and needs of the students. I we manage to cover everything (we won’t), the times below are approximate for the lessons and exercises we will do.

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Daily schedule

• Pre-bootcamp

  • Lesson 0: Configuring your computer

• Day 1: Monday, July 4

  • 1:00 - Lesson 1: Pandas and split-apply-combine

  • 2:00 - Exercise 1. Pandas and split-apply-combine

  • 3:00 - Lesson 2: Exploratory plotting

  • 4:00 - Exercise 2. Exploratory plotting

• Day 2: Tuesday, July 5

  • 1:00 - Lesson 3: Probability distributions and the plug-in principle

  • 2:00 - Exercise 3. Working with probability distributions

  • 2:30 - Lesson 4: Nonparametric inference with hacker stats

  • 4:00 - Exercise 4. Nonparametric hacker stats

• Day 3: Wednesday, July 6

  • 1:00 - Lesson 5: Generative modeling and parametric inference

  • 2:00 - Exercise 5: Generative modeling

  • 3:00 - Lesson 6: Maximum likelihood estimation

  • 4:00 - Exercise 6: Maximum likelihood estimation

• Day 4: Thursday, July 7

  • 1:00 - Lesson 7: Variate-covariate modeling

  • 2:00 - Exercise 7: MLE with variate-covariate models

  • 3:00 - Lesson 8: Model assessment

  • 4:00 - Exercise 8: Model assessment