Lecturer: Andrew Cameron and Keith Horne

Institution: St Andrews

Hours Equivalent Credit: 27

Assessment: Any 3 of 2 Homework sets and 2 Data Analysis Projects.

This is a final year undergraduate course organised by the University of St Andrews

Course Summary

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 data sets. Students develop their computer programming skills, acquire a data analysis toolkit, and gain practical experience by analysing real data sets.