STAT 3301: Regression and Statistical Computing

Instructor. Aaron J. Molstad (amolstad@umn.edu)
Lecture. Monday, Wednesday, Friday at 9:05 - 9:55AM in Tate Hall 110
Office hours. Monday at 10:10 - 11:10AM in Ford Hall 384 and [Zoom]
Wednesday 1:30 - 2:30PM in Ford Hall 384 and [Zoom]

Teaching assistant. Chen-Wei Hua (hua00076@umn.edu)
TA Office hours. Tuesday at 10:30 - 11:30AM in Ford Hall 495 and [Zoom]
Thursday at 10:30 - 11:30AM in Ford Hall 495 and [Zoom]

Syllabus. [pdf][docx]
Discussion. Tuesday or Thursday at 9:05 - 9:55AM in Ford Hall 115

Download R. [CRAN]
Download RStudio. [Rstudio]
Code formatting guidelines. [Google style sheet]
R basics. [pdf]

Note that you must be logged into your UMN Canvas account to access course materials.

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	Lecture		Topics
	1 (1/21)		Syllabus and models [docx][pdf][R]
	2 (1/25)		Random variables and their distributions [docx][slides][R]
	3 (1/27)		Expected value and variance [docx][slides][R]
	4 (1/30)		Named distributions [docx][slides]
	5 (2/2)		Estimators [slides]
	6 (2/4)		Simulation studies [slides][docx]

Complete note set 1 [pdf][docx][rmd]

Homework 1 (Due Monday, February 9th at 4:59PM) [submission][pdf][docx][example rmd file]