Schedule

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

week	date	topic	prepare	slides	exercises
1	27 August	Welcome to Linear Models
		R and Reproducible Workflows
1	29 August	Matrix Refresher
2	3 September	Matrix Workshop
2	5 September	Linear Regression Fundamentals	Faraway Sections 1.3 - 1.4
3	10 September	Linear Regression Fundamentals (Workshop)
3	12 September	Deriving the Hat Matrix and QR Decomposition	Faraway Sections 2.1-2.6
4	17 September	No Class (Work on Exercise 4)
4	19 September	Properties of Random Vectors	Faraway Section 2.8
		Gauss Markov Theorem
5	24 September	Gauss Markov Theorem (Workshop)
5	26 September	Residual Sum of Squares	Faraway Sections 2.9, 3.1
		Goodness of Fit
		Hypothesis Testing
6	1 October	Practical Workshop
6	3 October	Midterm review
7	8 October	Midterm (In Class)
7	10 October	Midterm (Out of Class)
8	15 October	Midterm Recap
8	17 October	Confidence Intervals	Faraway Sections 3.4-3.6
9	22 October	Confidence Intervals (Workshop)
9	24 October	Diagnostics	Faraway Chapter 6
9	24 October	Transformations	Faraway Chapter 9
10	29 October	Diagnostics + Transformation (Workshop)
10	31 October	Prediction & Prediction Intervals	Faraway Chapter 4
11	5 November	Prediction (Workshop)
11	7 November	FWL
12	12 November	FWL (Workshop)
12	14 November	Explanation	Faraway Chapter 5
13	19 November	Causal Inference (Workshop)
	21 November	Robust Standard Errors
13	21 November	Final Project
14	26 November	Thanksgiving
14	28 November	Thanksgiving
15	3 December	Final Presentation (Out of Class)
15	5 December	Final Presentation (Out of Class)