Schedule

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

week	date	topic	prepare	slides	exercises
1	12 January	Welcome to Linear Models
		Matrix Refresher
1	14 January	R and Reproducible Workflows
2	19 January	MLK [NO CLASS]
2	21 January	Matrix Workshop
3	26 January	[SNOW]
3	28 January	Linear Regression Fundamentals	Faraway Sections 1.3 - 1.4
4	2 February	It’s Just a Linear Model!
4	4 February	Deriving the Hat Matrix and QR Decomposition	Faraway Sections 2.1-2.6
5	9 February	Linear Regression Fundamentals (Workshop)
5	11 February	Properties of Random Vectors	Faraway Section 2.8
5	11 February	Gauss Markov Theorem
6	16 February	Gauss Markov Theorem (Workshop)
6	18 February	Residual Sum of Squares	Faraway Sections 2.9, 3.1
		Goodness of Fit
		Hypothesis Testing
7	23 February	Practical Workshop
7	25 February	Midterm Review
8	2 March	Midterm 1 (In Class)
8	4 March	Midterm 1 (Out of Class)
9	9 March	[Spring Break]
9	11 March	[Spring Break]
10	16 March	[Data Collection]
10	18 March	Confidence Intervals	Faraway Sections 3.4-3.6
11	23 March	Confidence Intervals (Workshop)
11		Diagnostics	Faraway Chapter 6
11	25 March	Transformations	Faraway Chapter 9
12	30 March	Diagnostics + Transformation (Workshop)
12	1 April	Prediction & Prediction Intervals	Faraway Chapter 4
13	6 April	[WakerSpace Project] (Out of Class)
13	8 April	[WakerSpace Project] (Out of Class)
14	13 April	Robust Standard Errors
14	15 April	Midterm 2
15	20 April	Midterm 2 (Out of Class)
15	22 April	FWL
16	27 April	FWL (Workshop)
16	29 April	Explanation	Faraway Chapter 5