Schedule

Week	Date	Les-son	Topic	Key Info	Slides HTML	Slides PDF	Slides Notes	Exit tix	Echo 360	Muddy Points
1	3/31	1	Welcome
		2	Introduction to Categorical Analysis
	4/2	3	Measurement of Association for Contingency Tables
2	4/7	4	Measurements of Association and Agreement
	4/9	5	Simple Logistic Regression
	4/11		Lab 1 due @ 11 pm
3	4/14	6	Interpretations and Visualizations of Odds Ratios
	4/16	7	Predictions and Visualizations in Simple Logistic Regression
			Required in-person attendance: Lab 1 Discussion
	4/18		HW 1 due @ 11 pm
4	4/21	8	Tests for GLMs using Likelihood function
	4/23	9	Multiple Logistic Regression
	4/23		Quiz 1 opens at 3pm
	4/25		Lab 2 due @ 11 pm
	4/27		Quiz 1 closes at 11pm
5	4/28	10	Interactions
	4/30		Interactions (continued from Monday)
			Required in-person attendance: Lab 2 Discussion
	5/2		HW 2 due @ 11 pm
6	5/5	11	Numerical Problems
	5/7	12	Assessing Model Fit
	5/9		Lab 3 due @ 11 pm
7	5/12	13	Model Diagnostics
			Required in-person attendance: Lab 3 Discussion
	5/14	14	Model Building
	5/14		Quiz 2 opens at 3pm
	5/16		HW 3 due @ 11 pm
	5/18		Quiz 2 closes at 11pm
8	5/19		Class canceled
	5/21	15	Other types of categorical regression
	5/23		Lab 4 due 11pm
9	5/26		No class, Memorial Day
	5/28	16	Log-binomial regression
			Required in-person attendance: Lab 4 Discussion
	5/28		Quiz 3 opens at 3pm
	5/30		HW 4 due 11 pm
	6/1		Quiz 3 closes at 11pm
10	6/2	17	Missing Data
	6/4	18	Poisson regression
		19	Project Poster Guidelines
11	6/9		Required in-person attendance: Project Day!!
	6/9		Project due 11pm
	6/15		All late coursework due 11pm