Course Details in

Module Title	LM Computational Methods and Frontiers
School	Mathematics
Department	Mathematics
Module Code	06 20445
Module Lead	R Mathias
Level	Masters Level
Credits	20
Semester	Full Term
Pre-requisites	Transform Theory and Number Methods in Linear Algebra - (06 22493)
Co-requisites
Restrictions	Optional for MSci programmes in Mathematics, MSci programmes with Major in Mathematics, MSci programmes with Joint (60 credits) in Mathematics
Contact Hours	Lecture-24 hours Practical Classes and workshops-44 hours Total: 68 hours
Exclusions
Description	In the Autumn Term, this module examines the computational solution of ordinary and partial differential equations. A mix of computational methods will be examined, including for example the use of the finite difference method and the finite element method. The implementation of these methods will also be examined in a suitable computer package or computer language such as, for example, in MATLAB. In the Spring Term, members of staff actively involved in research in computational mathematics will describe the current state of the art in their fields. There may be several topics covered, relating to the actual research interests of the staff involved.
Learning Outcomes	By the end of the module the student should be able to: Demonstrate understanding of the theory of the computational solution of ordinary and partial differential equations Implement the numerical solution of differential equations using a suitable computer package or computer language Demonstrate knowledge of recent developments in computational mathematics
Assessment	20445-01 : Assessments : Class Test (10%) 20445-03 : Exam : Exam (Centrally Timetabled) - Written Unseen (90%)
Assessment Methods & Exceptions	Coursework (30%); One 3hr written exam (70%)
Other
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