Schedule

Here’s your roadmap for the semester!

• Readings should be completed before each class session
• Slides and other class materials will be added on the day of class
• Assignments are due at 11:00 P.M. on Sunday (unless otherwise stated)

Schedule is subject to change

Week	Date	Topic	Content	Class	Labs
1	9/6/23	Course Introduction and Getting Setup
2	9/11/23	Introduction to R and RStudio
2	9/13/23	Lab 1 (Computational Reproducibility w Github and R)
3	9/18/23	Introduction to Markdown/Quarto
3	9/20/23	Lab 2
4	9/25/23	Probability Distributions and Visualization
4	9/27/23	Lab 3
5	10/2/23	Basics of Modeling, Normal Distribution, and Z-scores
5	10/4/23	Statistical Inference: Sampling Distributions, Uncertainty,and CIs
6	10/9/23	Statistical Inference: NHST and p values
6	10/11/23	GLM 1: Numerical and Categorical Explanatory Models
7	10-16/10-18	Midterm Break
8	10/23/23	GLM 2: Categorical Explanatory Models
8	10/25/23	Lab 5
9	10/30/23	GLM 3: Categorical Explanatory Models
9	11/1/23	Lab 6
10	11/6/23	GLM 4: Multiple Regression (MR)
10	11/8/23	Lab 7
11	11/13/23	GLM 5: Centering, Standardization, and Transformations
11	11/15/23	Lab 8
12	11/20/23 - 11/23/23	Thanksgiving - No Class
13	11/27/23	GLM 6: Interactions
13	11/29/23	Lab 9
14	12/4/23	GLM 6: Interactions 2
14	12/6/23	Lab 10
15	12/11/23-12/13/23	Reading Week - No Class
15	Finals	Final Paper Due