Numerical Analysis (G5147)

15 credits, Level 5

Spring teaching

  • Numerical differentiation with order of approximation
  • Finite Difference approximations of very basic initial value problems
  • Direct solvers for linear systems: LU, Cholesky, QR
  • Basic iterative solvers: Jacobi/Gauss-Seidel/SOR
  • Nonlinear equations: Banach fixed point theorem, Newton’s method

Teaching

62%: Lecture
25%: Practical (Practical, Workshop)
13%: Seminar (Class)

Assessment

30%: Coursework (Essay, Presentation, Problem set)
70%: Examination (Computer-based examination)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 46 hours of contact time and about 104 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

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 2022/23. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: