STA 323 & 523

A practical introduction to statistical programming focusing on the R programming language. Students will engage with the programming challenges inherent in the various stages of modern statistical analyses including everything from data collection/aggregation/cleaning to visualization and exploratory analysis to statistical model building and evaluation. This course places an emphasis on modern approaches/best practices for programming including: source control, collaborative coding, literate and reproducible programming, and distributed and multicore computing.


Welcome to STA 323 - statistical computing and STA 523 - statistical programming. This is the course website for summer 2020. Much of the information you will need throughout the semester can be found here. Please read the Syllabus thoroughly, and take a look at the Course Schedule for topics covered and when graded items are assigned and due. Some essential information is given below.


Lecture

There is no live lecture. This is an asynchronous online course.

Labs

Lab 01      Zoom link in Sakai       Tue 8:00am - 9:15am

Lab 02      Zoom link in Sakai       Tue 5:00pm - 6:15pm


Teaching team and office hours
Instructor Shawn Santo   Wed 1:00pm - 2:00pm, Fri 8:30am - 9:30am Zoom link in Sakai
TAs Pierre Gardan   Mon 10:00am - 11:00am, Thu 3:30pm - 4:30pm Zoom link in Sakai
Abbey List   Tue 1:00pm - 2:00pm, Thu 1:00pm - 2:00pm Zoom link in Sakai
Bo Liu   Mon 4:30pm - 5:30pm, Fri 3:00pm - 4:00pm Zoom link in Sakai

All times listed are in Eastern Time.