Preliminaries and Prerequisites

This course is intended primarily for PhD students in Statistics and Biostatistics to provide an introduction to a range of computationally intensive methodology and to the use of computation in statistical research and practice. The primary computing framework we will use is R; if you are not already familiar with R from your other courses it would be a good idea to take some time over break to become familiar with it. The R web site has links to a number of free introductions and to introductory books that are available.

You will also need to write a few simple C programs. If you are not yet familiar with C again it would be a good idea to get up to speed over the break.

You will be working on the Division of Mathematical Sciences Linux computers. If you have not used these before you can find some introductory materials here:

Some other useful resources:

Some Details

Office hours will be held via Zoom MWF 10:30-11:20 or by appointment.

Homework/projects will be submitted via ICON and/or GitLab.

Please use the Q&A Discussion, available under Discussions on the navigation bar at the left of the class ICON page, to ask questions. Public questions are best when possible, as then other students can benefit from seeing the answers. I will monitor the board and try to respond to any question within 24 hours. You can also email me, but I will redirect you to the Q&A Discussion unless confidentiality is needed.

If you want help with a particular coding issue please commit and push what you have to GitLab, open an Issue in GitLab, and assign the issue to me and I will respond.

Please log into with your HawkID so I can set up your class GitLab repository.

Please let me know if you have any issues accessing the course materials.


Announcements will be posted here from time to time.

Check this space regularly!