Foundations of Data Analysis (F3229)

15 credits, Level 4

Autumn teaching

On this module, you’ll cover topics including:

  • dimensions and units
  • estimation of uncertainties
  • introduction to computer-based data analysis
  • mean, standard deviation and standard error
  • error propagation
  • histograms and manipulation of distributions
  • the Gaussian distribution
  • chi squared and (straight) line fitting
  • identifying and dealing with systematics
  • assessing data quality
  • introduction to electrical circuits and circuit simulation.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We’ll make sure to let you know of any material changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: