Academic year(s): 2018-2019
SCOTCAT credits : 15
ECTS credits : 7
Level : SCQF Level 11
Availability restrictions: This module is intended for students in the final year of an MPhys or MSci programme involving the School, and for those taking the MSc in Astrophysics.
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.
Pre-requisite(s): Familiarity with scientific programming language essential, for example through AS3013 or PH3080. Entry to an mphys programme in the school or the msc in astrophysics.
Weekly contact: 3 lectures or tutorials and some supervised computer lab sessions
Scheduled learning hours: 42
Guided independent study hours: 108
As used by St Andrews: Coursework = 100%
As defined by QAA
Written examinations : 0%
Practical examinations : 0%
Re-assessment: No Re-assessment available - laboratory based
Please see also the information in the School's Handbook for Honours modules available via
st-andrews.ac.uk/physics/staff_students/timetables.php. This link also gives access to timetables for the modules