School of Mathematics and Statistics Home | About the school | Contact | Courses | Research | Personnel list

Courses in Mathematics and Statistics Level 1 Modules Level 2 Modules Level 3 Modules Level 4 Modules Level 5 Modules Honours timetable 2011/2012 Sem. 1 2011/2012 Sem. 2 2012/2013 Sem. 1 & Sem. 2 2013/2014 Sem. 1 & Sem. 2

MT3607 COMPUTING IN STATISTICS Aims Computational skills are a powerful and essential tool for today's statistician, both for applied and theoretical work. Computer-intensive methods for exploring data, for fitting models to data, for validating models, and for dealing with increasingly massive data sets have radically changed the way statistics is done over the last 20 years. This module provides an entry point to acquiring such skills. Students will gain hands-on experience programming in two of the dominant statistical software systems: SAS and R. Many job advertisements require applicants to have experience with one or other of these packages and this module can provide some of those credentials. It will also be of use in other statistics courses and project work where data analysis is required. Statistical computing exercises include using and writing software to: (1) extract and organize electronically stored data, (2) search for patterns and meaningful relationships, (3) fit mathematical models to characterize relationships succinctly, (4) produce useful graphical and numerical summaries. Assessment Continuous Assessment = 100% (to be confirmed; assessment will comprise a mix of class tests and programming assignments). Prerequisite or Corequisite MT2004 Availability Every year in semester 1 at 12 Lecturer Dr L Thomas, Dr E Rexstad Click here to see the University Course Catalogue entry. Revised: PMH (April 2012)