Programme/Approved Electives for 2025/26
None
Available as a Free Standing Elective
No
Physics and Astrophysics are data-intensive sciences. Using hands-on exercises, you will gain proficiency in using "industry-standard" statistical and modelling techniques for analysing scientific data. Along with an appreciation of the theory underpinning these techniques, you will develop the highly transferable skills required to apply them to real data sets and gain the expertise required to judge which techniques are applicable in any given scenario, and to interpret and present the results.
Aims
To acquire a systematic understanding of statistical analysis methods and apply these techniques to critically evaluate physical/astrophysical data sets from primary sources.
Talis Aspire Reading ListAny reading lists will be provided by the start of the course.http://lists.lib.keele.ac.uk/modules/phy-30027/lists
Intended Learning Outcomes
Demonstrate a systematic understanding of statistical techniques used to analyse and interpret scientific data: Have conceptual understanding that enables the student to solve data analysis problems and to interpret scientific data, using statistical ideas and modern analysis techniques: 1Critically evaluate data from primary sources to make and communicate judgements by applying established numerical analysis techniques to scientific data: 1
Active Learning Hours9 hours lectures/tutorials18 hours practical classes9 hours project workIndependent Study Hours2 class test24 hours project report writing88 hours private study and preparation for class test
Description of Module Assessment
1: Project weighted 50%Data analysis project reportApplication of statistical and numerical methods to a data analysis or interpretation problem informed by developments at the forefront of physics/astrophysics. The methods used and an interpretation of the results to be submitted as a written report, including appropriate tables, graphs, and captions (approximately 2500 words).
2: Class Test weighted 50%Unseen open book practical testTwo hour, in-person, unseen "open book" practical computer-based test. The test will comprise between 3 and 5 compulsory short questions. The questions will test whether students can correctly identify and apply correct statistical techniques to analyse and critically evaluate the significance of results from experimental data.