Schedule

Note: The timeline of topics and assignments might be updated throughout the semester.

week	date	topic	prepare	slides	notes	appex	assignment	assessment
1	23 August	Welcome to Statistical Models
1	25 August	Lab 01: R you ready?
2	30 August	Design Principles of Data Analysis
		Getting to know ggplot2
2	1 September	Exploratory Data Analysis
3	6 September	Data Manipulation
3	8 September	Review of Summarizing Continuous Variables
		Simple Linear Regression
		Lab 02: Simple Linear Regression Part 1
4	13 September	Simple Linear Regression
4	15 September	Drawing Inference
5	20 September	Drawing Inference
		Assumptions of Simple Linear Regression
		Lab 03: Simple Linear Regression Part 2
5	22 September	Unusual Observations
6	27 September	Hypothesis Testing
		Partitioning variability
6	29 September	Regression and correlation
		Prediction intervals
7	4 October	Lab 04: Interpreting Results
7	6 October	Review
8	11 October	Midterm 01
8	13 October	Fall Break [No Class]
9	18 October	Multiple linear regression
9	20 October	Types of Variables
		Variable transformations
10	25 October	Model comparison
10	27 October	Selecting Predictors
		Conditions for Multiple Linear Regression
		Lab 05: Multiple regression in practice
11	1 November	Interpeting Coefficients
		Introduction to logistic regression
11	3 November	Odds Ratios
		Assessing logistic regression conditions
12	8 November	Logistic regression inference
		Lab 06: Inference with logistic regression
12	10 November	Multiple logistic regression
13	15 November	Midterm 02
13	17 November	Discuss final project
14	22 November	Causal diagrams + final projects
14	24 November	Thanksgiving [No Class]
15	29 November	Final Presentations
15	1 December	Final Presentations