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MT3607 COMPUTING IN STATISTICS
AimsComputational 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:
AssessmentContinuous Assessment = 100% (to be confirmed; assessment will comprise a mix of class tests and programming assignments).
Prerequisite or CorequisiteMT2004
AvailabilityEvery year in semester 1 at 12
LecturerDr L Thomas, Dr E Rexstad
Click here to see the University Course Catalogue entry.
Revised: PMH (April 2012)