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.

Teaching

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

Assessment

60%: Coursework (Essay, Problem Set)
40%: Examination (Computer-based examination)

Contact hours and workload

This module is 150 hours of work. This breaks down into 36 hours of contact time and 114 hours of independent study.

This module is running in the academic year 2019/20. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.