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MT4607   Generalised Linear Models and Data Analysis

Academic year(s): 2018-2019

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 10

Semester: 1

Availability restrictions: Not automatically available to General Degree students

Planned timetable: 9.00 am Mon (even weeks), Tue and Thu

This module aims to demonstrate the power and elegance of unifying a large number of simple statistical models within the general framework of the generalised linear model. It will train students in the interpretation, analysis and reporting of data, when a single response measurement is interpreted in terms of one or a number of other variables.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass MT2503 and pass MT2508

Co-requisite(s): You must also take MT3501

Anti-requisite(s): You cannot take this module if you take MT5753 or take MT5761

Learning and teaching methods and delivery

Weekly contact: 2.5 lectures (weeks 1 - 10) and 8 tutorials over the semester

Scheduled learning hours: 33

Guided independent study hours: 117

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 80%, Coursework: Project = 20%

As defined by QAA
Written examinations : 80%
Practical examinations : 0%
Coursework: 20%

Re-assessment: 2-hour Written Examination = 80%, Coursework: Project = 20%


Module teaching staff: Dr L Scott-Hayward