The weekly schedule for the class is below.

Week 1: 12-16 January

Topic Introduction to the Class, What is Statistics?
Lecture Notes: Lecture 1, Lecture 2
Readings Vickers ch. 31, Lady Tasting Tea ch. 1-3
Lab Setting up R and R Studio, R Basics
R Code From Lecture Root-n-rule (advanced folks only)

Week 2: 21-23 January (MLK Holiday, Monday)

Topic (Review) Measuring Variance, Box Models, Intro R
Lecture Notes Lecture 3 (Part I)
Readings Freedman Chapters 1 and 2
Lab Comparisons (short)

Week 3: 26-30 January (NO CLASS 28, 30 January)

Topic (Review) Hypothesis Testing, Intro R
Lecture Notes Lecture 3 (Part II)
Readings Freedman Chapters 6, 16, 17
Lab Box Models (short)

Week 4: 2-6 February

Topic Correlation and Regression
Lecture Notes Lecture 4
Readings Chapter 3 Gelman, R book- chapters relevant to lab
Lab Data Wrangling

Week 5: 9-13 February

Topic Multiple Regression
Lecture Notes Lecture 5
Readings Gelman Chapter 4
Lab Continue Data Wrangling

Week 6: 16-20 February

Topic Multiple Regression
Lecture Notes Lecture 5
Lab Regression (long)

Week 7: 23-27 February

Topic Generalized Linear Models
Lecture Notes Logistic Regression
Readings Gelman and Hill Chapter 5
Lab Continue Regression
Reading and Discussion Whitemarsh and Boudet

Week 8: 2-6 March

Topic Exam Review (Monday + Wednesday)
Topic Exam (Friday)
Lecture Notes Exam Review
Lab Exam Review

Week 9: 9-13 March

Topic Exam (Monday)
Topic Logistic Regression
Lecture Notes Logistic Regression
Lab Logistic Regression
Readings Gelman and Hill Chapter 5

Week 10: 16-20 March

Topic Logistic Regression
Lecture Notes Logistic Regression
Readings Gelman and Hill Chapter 5
Lab Logistic Regression

Week 11: Spring Break

Week 12: 30 March - 3 April.

Topic Spatial Data
Lecture Notes Spatial-Statistical Thinking
Readings Ward and Gelditsch Ch. 1-3
Lab Spatial Regression

Week 13: 6-10 April

Topic Spatial Regression
Lecture Notes
Readings
Lab Spatial Regression

Week 14: 13-17 April

Topic Point Pattern Analysis
Lecture Notes
Readings
Lab

Week 15: 20-24 April (AAG Meeting)

Topic
Lecture Notes
Readings
Lab

Week 16: 27 April- May 1

Topic
Lecture Notes
Readings
Lab