Course Title: Differential Equations and Matrixes

Part B: Course Detail

Teaching Period: Term2 2009

Course Code: BUSM6021L

Course Title: Differential Equations and Matrixes

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

Dr. Ejanul Haque
Building 51 Level 6 Room 21
Ph: 9925 4530

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 and Vectors

Course Description

Students will develop fundamental mathematical skills necessary to support articulation into tertiary studies in engineering. It involves mathematical objects such as differential equations, matrices and series, which are needed by electronic engineer.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

UTENES008A Provide technical leadership in the workplace



Performance Criteria:

UTENES008A Provide technical leadership in the workplace

Learning Outcomes

1. Analyse and subsequently model physical situations described by differential equations

2. Interpret the solutions to first order linear and separable differential equations in terms of the physical problem

3 Interpret solutions to second order linear differential equations having constant coefficients which correspond to damping and resonance

4. Apply the concept of convergence of a series and investigate the behaviour of positive term and alternating series

5. Determine power series expansions for functions to manipulate standard power series

6. Perform basic operations on matrices

7. Use row-echelon forms to solve systems of linear equations and to determine the inverse of a matrix/

8. Interpret 3 X3 matrices geometrically, especially rotation matrices

9. Determine eigenvalues and eigenvectors of a matrix

10. Determine partial derivatives of a function of several variables and understand their physical/geometric significance

11. Use space curves to specify motion of a body through space and determine the body’s velocity

12. Determine the directional derivative and gradient of a scalar function

13. Understand the geometric significance of for a surface defined by

14. Apply functions of several variables to problems involving errors and maxima/minima

15. Evaluate simple double integrals and interpret as volume of region under a given surface

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 provided and recommended materials, references and the textbook

Teaching Schedule

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


Week NumberContent
06 Jul1First order Differential Equations – Type 1, Type 2
13 Jul2First order Differential Equations - Variable Separable
20 Jul3First order Linear Differential Equations (Integrating Factor)
27 Jul4First Order Homogenous Differential Equations
03 Aug5Application of First order Differential Equations
10 Aug6Second order Linear Homogeneous Differential Equations
17 Aug7Second order linear non- Homogeneous Differential Equations
24 Aug8Mid semester test
31 Aug8Mid semester break (31 Aug-06 Sep)
07 Sep9Particular Integral – f(x) is a polynomial
14 Sep10Particular Integral – f(x) is an exponential
21 Sep11Particular Integral – f(x) is a trigonometrical
28 Sep12Matrices
05 Oct13Solving System of Linear Equations using Matrices
12 Oct14Calculating Inverse of Square Matrix (Written Assignment Due)
19 Oct15Eigen Vector and Eigen Values of Square Matrix
26 Oct16Eigen Vector and Eigen Values of Square Matrix
02 Nov/09 Nov17/18End semester test 

Learning Resources

Prescribed Texts

RMIT Lecture Notes
Mathematical Methods for engineers and Scientists, Fourth Edition, G.F. Fitz-Gerald and I.A. Peckham


Advanced Engineering Mathematics, Fourth Edition, K.A. Stroud

Other Resources

Students will be expected to bring a scientific or graphic calculator to each class.

Overview of Assessment

Test 1 worth 50%
Test 2 worth 50%

Assessment Tasks

The assessment consists of Mid semester test worth 40%, an Assignment worth 10%, and End semester test worth 50% of total assessment.

The examinations will be closed book and consist of a series of short answer and application questions.

The assignment will be on application of defferential equations and student should complete it outside the class time.

Assessment Matrix

Assessment                              Topics Covered                            % of Total Assessment

Mid semester test                  Studied during week 1-7                                 40
Assignment                            Studied during week 1-11                              10
End semester test                 Studied during week 6-16                               50

Course Overview: Access Course Overview