MT5757
Advanced Data Analysis
2016-2017
20
10
SCQF level 11
2
Academic year(s): 2016-2017
SCOTCAT credits : 20
ECTS credits : 10
Level : SCQF level 11
Semester: 2
Planned timetable:
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.
Weekly contact:
Scheduled learning hours: 33
Guided independent study hours: 167
As used by St Andrews:
As defined by QAA
Written examinations : 60%
Practical examinations : 0%
Coursework: 40%