On Friday in week 3, please ensure that you arrive at OUCS, in good time for the first lecture at 2.00pm.

See http://www.oucs.ox.ac.uk/about/travel.xml for information on how to find OUCS.

Each of these 6 sessions will be made up of a lecture followed by a computer practical session: all lectures and all practical sessions are an essential part of the course. If practical sheets are not finished in the practical sessions then they should be completed outside the practical. See below for details of how to install R on your own computers.

Lecture |
Slides |
Practical |
Practical Solutions |

Week 3 : Introduction |
week1.pdf |
week1prac.pdf |
week1prac.solutions.pdf |

Week 4 : Working with data |
week2.pdf |
week2prac.pdf |
week2prac+solutions.pdf |

Week 5 : Programming - Part I |
week3.pdf |
week3prac.pdf |
week3prac+solutions.pdf |

Week 6 : Programming - Part
II |
week4.pdf |
week4prac.pdf |
week4prac+solutions,pdf |

Week 7 : Solving Equations
and
Optimization |
week5.pdf |
week5prac.pdf |
week5prac+solutions.pdf |

Week 8 : Simulation |
week6.pdf |
week6prac.pdf |
week6prac+solutions.pdf |

hellung.txt

cystfibr.txt

juul.txt

AIDS.txt

speed.txt

For this reason there will be two written exercise sheets with a class for each one. The details are below.

Written
exercise
sheet |
Deadline |
Class
times |

Week 7 : Sheet1.pdf |
Tues 8 March, by 5pm, SPR1 |
Thur 10 March 2-3pm, 3-4pm |

Week 8 : Sheet2.pdf |
Tues 10 May, by 5pm, SPR1 |
Thur 12 May 2-3pm, 3-4pm |

If you have your own computer you are strongly encouraged to download and install the software (it's free) so that you can work on the problem sheets and complete any of the practicals as required.

The software can be downloaded from this website http://www.r-project.org/

`Introductory Statistics with R' by Peter Dalgaard, ISBN 0-387-95475-9

- a very good introduction to R that includes many biostatistical examples and covers most of the basic statistics covered in this course.

`Modern Applied Statistics with S' by Bill Venables and Brian Ripley, ISBN 0-387-95457-0

- a comprehensive text that details the S-PLUS and R implementation of many statistical methods using real datasets.