Scientific Computing (F3212)

15 credits, Level 5

Autumn teaching

This module covers the revision of representation of numbers and basics of Python programming. You also study the application of numerical methods to model simple physical problems, involving:

  • solution of algebraic equations
  • interpolation
  • numerical integration and differentiation
  • numerical solution of ordinary differential equations
  • numerical solution of linear systems of equations
  • visualisation of data.


25%: Lecture
75%: Seminar (Class, Seminar)


60%: Coursework (Problem set)
40%: Examination (Computer-based examination)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 44 hours of contact time and about 106 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

This module is running in the academic year 2020/21. We also plan to offer it in future academic years. However, we are constantly looking to improve and enhance our courses. There may be changes to modules in response to student demand or feedback, changes to staff expertise or updates to our curriculum. We may also need to make changes in response to COVID-19. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.


This module is offered on the following courses: