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MT5757   Advanced Data Analysis

Academic year(s): 2016-2017

Key information

SCOTCAT credits : 20

ECTS credits : 10

Level : SCQF level 11

Semester: 2

Planned timetable: TBC

This module covers modern modeling methods for situations where the data fails to meet the assumptions of common statistical models and simple remedies do not suffice. The represents a lot of real world data. Methods covered include: nonlinear models; basic splines & Generalized Additive Models; Ridge Regression and Principal Components Regression; models for non-independent errors. Pragmatic data imputation is covered with associated issues. Computer intensive inference is considered throughout. Practical applications build sought-after skills in the commercial packages SAS and SPSS.

Learning and teaching methods and delivery

Weekly contact:

Scheduled learning hours: 33

Guided independent study hours: 167

Assessment pattern

As used by St Andrews:

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

Personnel

Module teaching staff: TBC