University of St Andrews

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 11

Semester: 1

Planned timetable: Monday, Tuesday, Thursday, Friday 2-3:30pm

This module covers the practical computing aspects of statistical data analysis, focussing on packages most widely used in the commercial sector (R, SAS, SPSS and Excel). We cover the accessing, manipulation, checking and presentation of data (visual and numerical). We fit various statistical models to data, with subsequent assessment, interpretation and presentation. Good practice and 'reproducible research' is covered, as is computer intensive inference and big data considerations. This module is a short intensive course and is a core, preliminary, requirement for the MSc in Applied Statistics and Datamining and the MSc in Data Intensive Analysis. It covers material essential for study of the more advanced statistical methods encountered in subsequent modules.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass MT1007 or pass MT3507 or pass MT3508 or take MT5762

Anti-requisite(s): You cannot take this module if you take MT5756

Learning and teaching methods and delivery

Weekly contact: Three 2-hour lecture/practical classes (x 5 weeks)

Scheduled learning hours: 30

Guided independent study hours: 120

Assessment pattern

As used by St Andrews: Coursework = 100%

As defined by QAA
Written examinations : 0%
Practical examinations : 0%
Coursework: 100%

Re-assessment: Coursework = 100%

Personnel

Module coordinator: Dr C R Donovan
Module teaching staff: Dr Carl Donovan
Module coordinator email crd2@st-andrews.ac.uk