Course Title: Numerical Methods

Part A: Course Overview

Program: C6016 Advanced Diploma of Engineering Technology (Principal Technical Officer)

Course Title: Numerical Methods

Portfolio: SEH Portfolio Office

Nominal Hours: 60

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Course Code




Learning Mode

Teaching Period(s)


City Campus


155T Vocational Health and Sciences


Term2 2008,
Term2 2009,
Term2 2010,
Term2 2011,
Term2 2012,
Term2 2013,
Term1 2014

Course Contact: Tatjana Grozdanovski

Course Contact Phone: +61 3 9925 4689

Course Contact Email:

Course Description

The purpose of this module is to provide participants with the skills, knowledge and attitudes required to determine approximate numerical solutions to mathematical problems which cannot always be solved by conventional analytical techniques, and to demonstrate the importance of selecting the right numerical technique for a particular application, and carefully analysing and interpreting the results obtained.

Pre-requisite Courses and Assumed Knowledge and Capabilities

The following modules (or equivalents) should be preferably completed prior to, or in conjunction with, this module:
• VBH 624 Advanced Engineering Mathematics 1
• VBH 625 Advanced Engineering Mathematics 2
• VBG 871 Differential Equations

National Competency Codes and Titles

National Element Code & Title:

VBG872 numerical methods

Learning Outcomes

On completion of this module the learner should be able to:
1. Apply appropriate algorithms to solve selected problems, both manually and by writing computer programs.
2. Compare different algorithms with respect to accuracy and efficiency of solution.
3. Analyse the errors obtained in the numerical solution of problems.
4. Using appropriate numerical methods, determine the solutions to given non-linear equations.
5. Using appropriate numerical methods, determine approximate solutions to systems of linear equations.
6. Using appropriate numerical methods, determine approximate solutions to ordinary differential equations.
7. Demonstrate the use of interpolation methods to find intermediate values in given graphical and/or tabulated data.

Overview of Assessment

Assessment for this module will consist of the following:

A Mid-Semester test worth 40%

Three tutorials worth a total of 20%

A Final examination worth 40%