Resources for students in Stat 111 (Spring 2023). Managed by aL Xin.
View files on GitHub awqx/stat111-2023
SectionsThis site holds the course notes for aL.
The course Canvas site is here. Section files will be duplicated under the Files section of Canvas, found here.
Additionally, R markdown files and PDFs are available on the GitHub repo of this site, found here.
Questions, comments, or suggestions? Email me at axin@college.harvard.edu. Want to leave anonymous feedback? Go here.
My section will be held on Thursdays, 3:00-4:15 PM, in SC 110. They are scheduled for people who want to jump into the material right after lecture. Sections will cover that week’s material, i.e., the material due for the pset due the week after, not the day after.
My office hours will be held right after section on Thursdays, 4:30-6:30 PM, in SC 316 (Data Science Lounge).
Yes.
No.
I eschew the queue. Most students have the same questions and it’s pretty easy to move around and gather people with similar questions.
Office hours often have guest TFs, like Jason Zhou, who sometimes gets bored in his Stat 149 OH and will help out with Stat 111.
My section covers the material for the week including the lecture that immediately precedes it. Section material will be relevant for the homework due 8 days after section, not 1 day.
First, try posting on Ed. Make the question private if it involves your personal work that would violate the Honor Code if shared for every student. Make the question public if it’s general clarification, including questions about how a problem is worded, expectations of work, content covered in lecture or the textbook, or course guidelines.
If a question is urgent, do NOT email me because I already get instant email notifications from Ed (it is categorically worse because on Ed the entire teaching staff can respond to help you). The only faster way I would respond is through instant messaging services, which I will not publicize and you will have to ask for in-person or through email.
It’s quicker to modify, especially because my section’s content will reflect the lecture that occurs before. It’s also a little easier to browse through than Canvas, which (at least for me) has annoying delays every time I open a document or navigate the file tree.
All the files are visible in the site repository on GitHub. Go here. The link is also available in the sidebar.
Individual pages will also be linked to their respective R markdown and PDF documents.