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

Associated with each module will be some preliminary web-based 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 web-based material will be made available on-line four 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.

 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

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.

---

Module Resources: Download

APTS week	Module title	Module leader	Preliminary material	Lecture material	Assessment material
1 (Warwick)	Statistical Computing	S N Wood	Notes: Solutions (R):	Notes: Lab exercises: Solutions - Q1&2 (R) Optimization code:
1 (Warwick)	Statistical Inference	D R Cox & D Firth
2 (Oxford)	Statistical Modelling	A C Davison & J J Forster		Notes: Bibliography: Exercises (Tues): R code (Tues): Exercises (Weds): hip.txt:   Exercises (Thu): R code (Thu):
2 (Oxford)	Statistical Asymptotics	G A Young		Notes: Exercises: Lecture slides: 1 ; 2 ; 3
3 (Bristol)	Applied Stochastic Processes	W S Kendall		Notes:
3 (Bristol)	Computationally Intensive Statistical Methods	B D Ripley	Notes: Hints: Solutions:	Notes: R code (Tues): R code (Weds): R code (Thu):
4 (Glasgow)	Spatial and Longitudinal Data Analysis	P J Diggle		Notes:
4 (Glasgow)	Nonparametric Smoothing*	A Delaigle		Notes:	Data:

* The material for the module Nonparametric Smoothing for the APTS year 2007-2008 is no longer available.

 

• Contact APTS •

---

Search for: