APTS Module Resources
Each APTS module has associated to it three types of resource: preliminary material, lecture material, and assessment material. Material for each module will be made available below at an appropriate time.
Preliminary material
1. Preliminary material specific to each module
Associated with each APTS module will be some preliminary webbased material. This will be provided by module leaders to help students get up to speed with any prerequisite material. More details can be found in the APTS module specifications.
Please note the following:
 The webbased material will be made available online five weeks before the start of the relevant APTS week:
 you can keep track of this using the key dates page
 registered students will also be emailed when new material is made available
 A number of the modules will involve computer lab sessions, and a working knowledge of the use of R will be assumed for these. See the note below about preparation in R.
You are expected to spend up to one week per module working through the preliminary material
 please do this, since otherwise you are likely to be unprepared for the module lectures
2. R Programming for APTS Students
Several of the modules  in particular the modules Statistical Computing, Statistical Modelling and Computer Intensive Statistics  will make use of the R statistical computing environment. Students who are either unfamiliar with or not confident in the use of R should work through R Programming for APTS Students, a web course in R kindly provided by University of Oxford, Department of Statistics. Reaching at least this level of familiarity with R is essential preparation for these modules.
Lecture material
Each module leader will provide some material (such as slides from lectures, or a summary of the course) following the APTS week in which their module is delivered. This should provide pointers to sources and resources for future work.
Assessment material
Following each APTS week, you may be asked to undertake a form of light assessment. This will be provided by the APTS module leader, but will be marked by somebody in your department. The assessment tasks provide the opportunity for your department to fit APTS training into its own framework for monitoring student progress, as well as providing useful feedback for future development of APTS modules. Hopefully the assessment should not take too long, and will enhance both your interest in the area of the module and your ability to find out more for yourself.
Generally, assessment materials will be made available within 7 days of the conclusion of an APTS week; attendees will be notified by email if there is a longer delay for any reason as well as when the materials are made available (a single email will be sent when all of the materials for a given week are present for simplicity).
Module Resources: Download
The various materials mentioned above will appear here during the APTS year.
APTS week  Module title 
Module leader 
Preliminary material  Lecture material  Assessment material 
1 (Cambridge)  Statistical Computing  Darren Wilkinson  Assessment  
1 (Cambridge)  Statistical Inference  Simon Shaw  Preliminary notes  Notes  Assessment 
2 (Southampton)  Applied Stochastic Processes  Stephen Connor and Matt Roberts  Assessment  
2 (Southampton) 
Statistical Modelling 
Antony Overstall and Helen Ogden 
Assessment 

3 (Durham)  Computer Intensive Statistics  Paul Jenkins  Preliminary notes 
Assessment  
3 (Durham) 
Highdimensional Statistics  Rajen Shah  Preliminary notes  Assessment 

4 (Oxford)  Design of Experiments and Studies  Dave Woods  Preliminary notes 
Lecture notes (associated R code) Practical 1 (example solutions) 
Assessment 
4 (Oxford)  Flexible regression  Claire Miller and Tereza Neocleous  Preliminary notes  Assessment 
This list of software useful for Statistics PhDs might also be of interest.
Resources for the academic year 201718 have been archived here.
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