AS5001
Advanced Data Analysis
2016-2017
15
7
SCQF level 11
1
Academic year(s): 2016-2017
SCOTCAT credits : 15
ECTS credits : 7
Level : SCQF level 11
Semester: 1
Planned timetable:
This module develops an understanding of basic concepts and offers practical experience with the techniques of quantitative data analysis. Beginning with fundamental concepts of probability theory and random variables, practical techniques are developed for using quantitative observational data to answer questions and test hypotheses about models of the physical world. The methods are illustrated by applications to the analysis of time series, imaging, spectroscopy, and tomography datasets. Students develop their computer programming skills, acquire a data analysis toolkit, and gain practical experience by analyzing real datasets.
Weekly contact:
Scheduled learning hours: 30
Guided independent study hours: 120
As used by St Andrews:
As defined by QAA
Written examinations : 0%
Practical examinations : 0%
Coursework: 100%