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
  • 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

    • Initial project descriptions due

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