Schedule

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

week	date	topic	prepare	slides	appex	assignment	assessment
1	28 August	Welcome to Statistical Models
1	30 August	Lab 01: R you ready?
2	4 September	Design Principles of Data Analysis
		Getting to know ggplot2
2	6 September	Exploratory Data Analysis
3	11 September	Data Manipulation
3	13 September	Review of Summarizing Continuous Variables
		Simple Linear Regression
		Lab 02: Simple Linear Regression Part 1
4	18 September	Simple Linear Regression
4	20 September	Data Collection (Virtual)
5	25 September	Drawing Inference (Part 1)
		Drawing Inference (Part 2)
5	27 September	Assumptions of Simple Linear Regression
		Lab 03: Simple Linear Regression Part 2
6	2 October	Unusual Observations
		Hypothesis Testing
		Partitioning variability
6	4 October	Regression and correlation
		Prediction intervals
7	9 October	Lab 04: Interpreting Results
7	11 October	Review
8	16 October	Midterm 01
8	18 October	Midterm Review
9	23 October	Multiple linear regression
9	25 October	Types of Variables
		Variable transformations
10	30 October	Model comparison
10	1 November	Selecting Predictors
		Conditions for Multiple Linear Regression
		Lab 05: Multiple regression in practice
11	6 November	Interpeting Coefficients
		Introduction to logistic regression
11	8 November	Odds Ratios
		Assessing logistic regression conditions
12	13 November	Logistic regression inference
		Lab 06: Inference with logistic regression
12	15 November	Multiple logistic regression
13	20 November	Midterm 02
13	22 November	Thanksgiving [No Class]
14	27 November	Final Projects [No Class]
14	29 November	Final Projects
15	4 December	Final Projects
15	6 December	Final Presentations