Schedule: words in a haystack

This schedule is subject to change.

Assignments are due at the end of their due date (midnight).

Readings can be done either before or after class; they are chosen to support the material covered in class.

Week 1

Week 2

    • Sep 1: Getting started with R

    • Worksheet

      • Please install the R statistics package on your laptop before this lecture. I recommend RStudio. Please use the free version, not the commercial license.

      • Readings: ALD ch. 1

      • Data: inaugural addresses (.csv)

    • Sep 3: Inspecting and visualizing data

Week 3

Week 4

    • Sep 15: Invited talk: Statistics in practice

    • Sep 17: Invited talk: Statistics in practice

    • Homework 1 due

Week 5

Week 6

    • Sep 29: Probability distributions.

      • Readings: SE ch. 3, ALD ch. 3 pp. 44-63

    • We talk in class about your project ideas

    • Oct 1: Probability distributions continued. Samples and populations.

Week 7

Week 8

Week 9

Week 10

Week 11

    • Nov 3: Practising linear and logistic regression

    • Nov 5: Statistical testing: chi-squared

      • Readings: SE ch. 19

    • Intermediate project reports due

Week 12

Week 13

Week 14

    • Nov 24: Statistical pitfalls to avoid

    • Nov 26: Thanksgiving

Week 15

    • Dec 1: Project presentations

      • 14:00 Weisz

      • 14:09 Cavasso/Ebmeier

      • 14:18 Reinhard/Idonor

      • 14:27 Donohoe

      • 14:36 Bortner

      • 14:45 Chew/Nelson

      • 14:54 Dang/Zuniga

      • 15:03 Barajas/Kuhn

  • Dec 3: Project presentations

    • 14:00 Moran

    • 14:09 Radpour

    • 14:18 Charles

    • 14:27 Fofliger

    • 14:36 Broomfield/Gavino

    • 14:45 Adams/Walker

    • 14:54 Paulter

Final report due: Monday December 14, 2015, end of day