University of St Andrews

Key information

SCOTCAT credits : 20

ECTS credits : 10

Level : SCQF level 11

Semester: 2

Planned timetable: 12.00 noon Mon (even weeks), Tue and Thu

This module covers modern modelling methods for situations where the data fails to meet the assumptions of common statistical models and simple remedies do not suffice. This represents a lot of real world data. Methods covered include: nonlinear models; basic splines and Generalised Additive Models; LASSO and the Elastic Net; models for non-independent errors and random effects. Pragmatic data imputation is covered with associated issues. Computer intensive inference is considered throughout. Practical applications build sought-after skills in R and the commercial packages SAS.

Relationship to other modules

Pre-requisite(s): Pre-Requisites are compulsory unless you are on a taught postgraduate programme.. Undergraduate - Before taking this module you must pass MT4607 or pass MT5753

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: 167

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 60%, Coursework = 40%

As defined by QAA
Written examinations : 60%
Practical examinations : 0%
Coursework: 40%

Re-assessment: 2-hour Written Examination = 100%

Personnel