Computational Mathematics - MATH3101

   
   
   
 
Campus: Kensington Campus
 
 
Career: Undergraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 4
 
 
Enrolment Requirements:
 
 
Prerequisite: 12 units of credit in Level 2 Math courses including MATH2011 or MATH2111 or MATH2510, and MATH2120 or MATH2130, or both MATH2019(DN) and MATH2089, or both MATH2069(CR) and MATH2099.
 
 
Excluded: MATH3301, MATH5305
 
 
Fee Band: 2 (more info)
 
 
Further Information: See Class Timetable
 
 

Description


Many mathematical models in engineering, finance and science are based on differential equations. In general these equations cannot be readily solved analytically. This course introduces computational methods for solving partial differential equations that exploit the power of modern computer architectures.

Includes: Overview of scientific computing, iterative methods for linear systems, parabolic partial differential equations (heat equation), elliptic equations (Poisson equation) including multigrid methods, and hyperbolic partial differential equations.