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Module Detailed Information for [MA4255]
Academic Year : 2017/2018 Semester : 2
Correct as at 18 Jan 2018 05:00

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Module Information
Module Code :
Module Title : Numerical Methods in Differential Equations
Module Description : Ordinary and partial differential equations are routinely used to model a variety of natural and social phenomena. This course is concerned with the basic theory of numerical methods for solving these equations. Through the study of this module, students will gain an understanding of (1) various numerical integration schemes for solving ordinary differential equations, and (2) finite difference methods for solving various linear partial differential equations. Major topics: (ODE) One-step and linear multistep methods, Runge-Kutta methods, A-stability, convergence; (PDE) Difference calculus, finite difference methods for initial value problems, boundary value problems, and initial-boundary value problems, consistency, stability analysis via von Neumann method and matrix method, convergence, Lax Equivalence Theorem.
Module Examinable : -
Exam Date : 30-04-2018 EVENING
Modular Credits : 4
Pre-requisite : {MA2213 or DSA2102} and MA3220
Preclusion : ME4233
Module Workload (A-B-C-D-E)* : 3-1-0-3-3
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
Class TypeWeek TypeWeek DayStartEndRoom Iteration
Available in Tutorial Balloting [Iteration 2].
Available in Tutorial Balloting [Iteration 2].
Available in Tutorial Balloting [Iteration 2].

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