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Computational Mathematics - MATH5305
 Science students

   
   
   
 
Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 3
 
 
Excluded: MATH3101, MATH3301
 
 
Fee Band: 2 (more info)
 
 
Further Information: See Class Timetable
 
  

Description

Partial differential equations provide the natural mathematical description of many phenomena of interest in science, engineering and finance. Such equations are often difficult or impossible to solve using purely analytical (pencil and paper) methods, especially for realistic industial problems. This course introduces finite difference methods for three key classes of partial differential equations: elliptic (Poisson equation), parabolic (heat equation) and hyperbolic (transport equation). The course also covers direct and iterative methods used for solving linear systems that arise in finite difference methods, and provides an overview of some relevant topics in scientific computing.

Note: Students must have some prior experience with simple computer programming. Familiarity with Matlab is an advantage.

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.