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Detailed information for APTS Week 1, 14th–18th December 2020

Welcome to APTS Week 1 Online!

This webpage contains important informations concerning the APTS week. Please do read it carefully.

Week's resources

Written materials for the week can be found on the resources webpage.

Video materials will be available through the Team created for the APTS week, see "Accessing the meetings and video lectures", below.

IT Preparations for the APTS Week

The APTS week will take place on the MS Teams platform. If you are not from Warwick, you will have received an email with personal details to register your personal Warwick IT account. Warwick students should use their usual ITS account.

All video meetings of the APTS week, as well as the video lecture, will be available via the MS Teams platform. While you can access the MS Teams platform via a web browser, we strongly recommend that you use the desktop version of the application, which you can download here.

You might be already familiar with MS Teams. If this is not the case, this short introductory video will be helpful, and there are more detailed video tutorials if you are interested.

Accessing the meetings and video lectures

You will be added to a Team called "APTS Week 1 2020--2021" that will be private to all week 1 participants. You should receive a notification about this, but if this is not the case, you will see the Team by clicking on the "Teams" icon at the left of the MS Teams application.

If you have difficulties accessing the MS Team of the APTS week, please look at the FAQ regarding accessing the MS Team for APTS Week 1.


Click on the image below to see the timetable of synchronous (live) events. These consist of academic sessions (problem classes, computer labs and Q&A session) and (optional) social events. You are expected to study the video and written materials during the week, outside the live events.


Module details

The two modules taught during the week are Statistical Computing (Darren Wilkinson) and Statistical Inference (Simon Shaw).

Teaching plans for Statistical Computing

The Statistical Computing module will have some computer labs. You are encouraged to make arrangements—if possible—to have access to a computer with R installed for taking part in the Statistical Computing labs. In preparation for the labs, you can look at the following introduction to R Programming for statistics. Please read through this material if you are unfamiliar with R.

There will be Q&A sessions at 16:00-16:30 on the 14th, 16th and 18th of December, and computer labs at 16:00-17:00 on the 15th and 17th of December.

All material (written materials, video lectures) should be available on Thursday 10th December.

Teaching plans for Statistical Inference

The course will cover three topics: Principles for Statistical Inference, Statistical Decision Theory, and Confidence sets and p-values. For each topic, there are a series of recorded lectures which cover the content and a live interactive problems class. You should aim to cover the recorded content for each topic before the problems class:

  • Tuesday 15th December 11:00-12:00, problems class on Principles for Statistical Inference

  • Thursday 17th December 11:00-12:00, problems class on Statistical Decision Theory

  • Friday 18th December 11:00-12:00, problems class on Confidence sets and p-values

All material (written materials, video lectures) will be available ahead of the start of the APTS week, and the first two topics should be available on Thursday 10th December.

Online codes of Conduct

APTS expects all participants to abide by the codes of conduct of the University of Warwick noting in particular the acceptable use policy. APTS reserves the unlimited right to cancel any registration without prejudice in the event of violation of said codes of conduct.

Privacy Notice

Please note that for the duration of its existence your Warwick IT account will have your full name associated with it and this will be visible to all University of Warwick staff members. Your name will be visible in any Microsoft Teams event in which you participate. A full privacy statement can be viewed here.