Course Title: Numerical Methods

Part B: Course Detail

Teaching Period: Term1 2009

Course Code: BUSM6022L

Course Title: Numerical Methods

School: 155T Life & Physical Sciences

Campus: City Campus

Program: C6050 - Advanced Diploma of Electrical Engineering

Course Contact : Selva Venkatesan

Course Contact Phone: +61 3 9925 4964

Course Contact

Name and Contact Details of All Other Relevant Staff

Aleksandra Labovic        office 8.9.68

ph 9925  3763

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.

Pre-requisites and Co-requisites

Satisfactory completion of Calculus, Vectors and Mathematical Transforms

Course Description

Learners should able to understand the concept of obtaining an approximate numerical solution to mathematical problems which are not amenable to solution by analytical techniques. Also they need to see the pitfalls in relying on results obtained without proper selection of numerical techniques and careful analysis of results.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

UTENES008A Provide technical leadership in the workplace



Performance Criteria:


Learning Outcomes

1. Implement selected algorithms, both by hand and writing a computer program
2. Compare different algorithms with regard to efficiency and accuracy.
3. Analyse the errors in a numerical solution.
4. Report work undertaken on problems in a clear and comprehensive manner
5 Application of appropriate methods for solving non-linear equations, comparing efficiency and convergence of each method.
6. Use and compare various methods for obtaining approximate solutions to systems of linear equations.
7. Compare various algorithms for obtaining numerical solutions of ordinary differential equations.
8. Apply the concept of and use interpolation methods

Details of Learning Activities

Students will be provided with classroom tutorial instruction in each of the units in order to complete the learning outcomes, tasks and assessment outcomes using the software- Maple, provided and recommended materials, references and the textbook.

Teaching Schedule

Note: Dates and activities may alter. Students will be advised in advance

Week Starting Week NumberContent

  9 Feb

 1 A short introduction to the Maple language
 16 Feb 2 The bisection method for root finding
 23 Feb 3 Newton’s method for root finding
 2 Mar 4 An Introduction to polynomial interpolation
 9 Mar 5 Examples of Interpolation of polynomial
 16 Mar 6The trapezoidal rule
 23 Mar 7The Simpson’s rule
30 Mar 8 Revision
 6 Apr 9Test 1 worth 40%
13 Apr  Easter Break
 20 Apr 10

 Newton-Cotes Integration

27 Apr 11Taylor polynomials and Taylor series
 4 May 12 Solving Linear Differential Equations with constant coefficients
 11 May 13 Euler’s Method of solving DE numerically
 18 May 14 Introduction to Matrices and Linear systems
 25 May 15 Solving Linear system with tridiagonal coefficient matrix
 1 Jun 16 Revision
 8 Jun 17 Exam Period - Test 2 worth 40%
15 June 18 Exam Period

Learning Resources

Prescribed Texts

RMIT Lecture Notes


The Maple Book, Frank Garvan

Other Resources

Overview of Assessment

Test 1 worth 50%
Test 2 worth 50%

Assessment Tasks

Project 1

Date: The week beginning 23th March 2009

Worth: 10% of overall score

Mid Semester Test

Topics: Bisection Method for root finding, Newton’s method of root finding, Interpolation, Trapezoidal Rule, Simpson’s rule

Duration: 2 hours

Date:  The week beginning 6th April 2009

Worth: 40% of overall score


Project 2

Date: The week beginning 25th May 2009

Worth: 10% of overall score

Final Semester Examination

Topics: Newton – cotes Integration, First and Second Order Differential Equations, Taylor’s polynomial and Series, Matrices and Linear System and Tri diagonal Matrices

Duration: 2 hours

Date: The week beginning 8th June 2009

Worth: 40% of overall score

Note: This course outline is subject to change. Students should check with their lecturer

Assessment Matrix

Course Overview: Access Course Overview