Course Schedule

Note: This schedule may be updated as the semester progresses.

Week	Date	CH	Slides	Labs	HW	Recommended	Project
1	Tu: Aug 28		Course Introduction
	Th: Aug 30	1-3	Review: Confidence Intervals
2	M: Sep 3		Intro to R	Lab 1
	Tu: Sep 4	1-3	Review: Hypothesis Tests
	Th: Sep 6	5.1 - 5.5	ANOVA		HW 1 open	5.5, 6.1, 6.2
3	M: Sep 10		Comparing Means with R	Lab 2 (due 9/19)
	Tu: Sep 11	5.1 - 5.5	ANOVA: Part 2			5.5, 6.1, 6.2
	Th: Sep 13		Class Canceled		HW 2 open
4	M: Sep 17		Linear Regression	Lab 3	HW 1 due
	Tu: Sep 18	7	Simple Linear Regression
	Th: Sep 20	8.1-8.4, 8.6	Simple Linear Regression		HW 2 due HW 3 open
5	M: Sep 24		Displaying Output	Lab 4
	Tu: Sep 25	9.1 - 9.4	Multiple Linear Regression (MLR)
	Th: Sep 27	10.1-10.4.1 11.1- 11.4	MLR Basics: Part 2		HW 3 due HW 4 open	11.6.1 Matrix Notation for Linear Regression
6	M: Oct 1		Linear Regression	Lab 5
	Tu: Oct 2	10.1-10.4.1 11.1- 11.4	MLR: Model Assessment
	Th: Oct 4	11.1-11.4	MLR: Model Assessment		HW 4 due	Diamonds MLR Analysis
7	M: Oct 8	No Labs: Fall Break
	Tu: Oct 9	No Class: Fall Break
	Th: Oct 11		Exam I Review
8	M: Oct 15			Exam I Review (Optional)
	Tu: Oct 16	Exam I Exam I Resources
	Th: Oct 18		Special Topic: Missing Data Follow-up Assignment due at 11:59p
9	M: Oct 22		Reporting Statistical Results	Lab 6
	Tu: Oct 23	12	Model Selection (PDF)				Project Introduced
	Th: Oct 24	14	ANOVA via MLR (PDF)		HW 5 open
10	M: Oct 29		“Complete” Regression Analysis	Lab 7
	Tu: Oct 30	15.1-15.2	Time Series (PDF)			Time Series Analysis Code
	Th: Nov 1	15.1-15.3	Time Series (PDF)		HW 5 due HW 6 open
11	M: Nov 5		Reproducibility	Lab 8
	Tu: Nov 6	18.1-18.3	Comparing Proportions & Odds (PDF)
	Th: Nov 8	20.1-20.6	Logistic Regression (PDF)		HW 6 due HW 7 open	NHANES Analysis
12	M: Nov 12		Logistic Regression	Lab 9
	Tu: Nov 13	20-21	Logistic Regression (PDF)			Framingham Study Analysis	Project Proposal Due
	Th: Nov 15	21.7.2	Multinomial Logistic Regression (PDF)		HW 7 due HW 8 open
13	M: Nov 19	No Labs
	Tu: Nov 20		Project Office Hours
	Th: Nov 22	No Class: Thanksgiving Break
14	M: Nov 26		Multinomial Logistic Regression	Lab 10
	Tu: Nov 27	21.7.2	Ordinal Logistic Regression (PDF)
	Th: Nov 29	22.1-22.3.3	Poisson Regression (PDF)		HW 8 due	NHANES Analysis Ordinal & Poisson Regression
15	M: Dec 3		Poster Feedback	Attendance/ Followup Assisgnment
	Tu: Dec 4		Exam II Review (PDF)			Exam II Review Analysis
	Th: Dec 6	Exam II Exam II Resources
16	M: Dec 10
	Tu: Dec 11
	Th: Dec 13
	Sa: Dec 15	Poster Session, 2p - 5p

The lecture notes are adapted from materials in courses previously taught by Dr. Jerry Reiter.