Course Title: Undertake computations in an electrotechnology environment

Part B: Course Detail

Teaching Period: Term1 2012

Course Code: EEET6783C

Course Title: Undertake computations in an electrotechnology environment

School: 130T Vocational Engineering

Campus: City Campus

Program: C6085 - Advanced Diploma of Electrical - Technology

Course Contact: Dr Elmas Aliu

Course Contact Phone: +61 3 9925 4360

Course Contact Email:

Name and Contact Details of All Other Relevant Staff

Nominal Hours: 120

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


Course Description

This unit covers computational and mathematical procedures
to solve problems or to enhance given data. It encompasses
working safely, applying knowledge of undertaking
computations in electrotechnology environment.

National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

UEENEEE050B Undertake computations in an electrotechnology environment


• Prepare to undertake computations.
• Undertake computations.
• Complete monitoring activities.

Performance Criteria:

1.1 Computational activities are planned and prepared
to ensure OHS policies and procedures are followed,
with the work appropriately sequenced in
accordance with requirements.

1.2 Data for computations are obtained and verified in
accordance with established procedures and to
comply with requirements.

1.3 Location in which activities are undertaken or data
gathered is determined from job requirements.

1.4 Materials/devices needed to carry out the
computations are obtained in accordance with
established procedures.

2.1 OHS policies and procedures for undertaking
monitoring activities are followed.

2.2 Computations are undertaken in accordance with

2.3 Unplanned events or conditions are responded to in
accordance with established procedure.

2.4 Ongoing checks of the quality/accuracy of the work
are undertaken in accordance with established

3.1 Computations are verified and checked against

3.2 Documentation/reports/computations are completed
to ensure all requirements are met. Complete monitoring

3.3 Work completion is notified in accordance with
established procedures.

Learning Outcomes


Details of Learning Activities

Students will participate face to face in

• Classroom tutorial activities to consolidate the core essential mathematical and statistical data concepts for engineering study, which may include algebraic manipulations and functions, indices and logarithms trigonometric functions, exponential and logarithmic functions, differential and integral calculus, statistics and probability.

• Work simulation activities focus in technical leadership activities, which include: team building, identify team member’s work task, clear and concise dissemination of ideas and information, planning and organising activities to meet requested standards. Demonstrate leadership characteristic, such as: problem solving, keeping records and documenting tasks.

Teaching Schedule

Semester 1 


Week NumberTopic DeliveredAssessment Task
1 Introduction to the competency of EEET6783C

Prepare to Undertake computations with Mathematical linear measurement in engineering:
• Precision and error in mathematical computations and
• Displaying mathematical outcomes in the correct format using the appropriate significant figures and in scientific notation
2 Undertake computations with Perimeters of plane figures, polygons and the perimeter of shapes involving arcs
• Pythagoras’ theorem to engineering situations
3 Undertake computations with Mathematical spatial measurement in engineering:
• Areas of combined shapes
• Volume and surface areas of solids



• Right triangle trigonometry in engineering problems

Trigonometrical concepts in problems involving inclined planes, vectors and force sand electrical sinusoidal waveforms

5  Sine and cosine rules in practical applications
• Mathematical concepts for radial and triangulation surveys
 Assignment 1 handed out (worth 10% of total mark) due date end of week 16.
6 Complete monitoring activities such as
Basic Algebra in engineering calculations:
• Basic operations involving substitutions, additions, removal of brackets, multiplication and divisions
• Solving linear equations
• Transportation in non-linear equations
7Complete monitoring activities such as 
 Linear graphical techniques in engineering problem solving:
• Graphing linear functions
• Deriving equations from graphs and tables
• Solving simulations equations algebraically and graphically
• The best line of fit graphically and determine equation
8 Practice test and revision Practice test and revision
9  Closed book Test 1 Test (worth 15% of total mark)
10 Mathematical computations involving polynomials:
• Adding, subtracting and multiplying polynomials
• Factorising trinomials
• Solving quadratic equation
11 Mathematical computations involving quadratic graphs
• Graphs of quadratic functions
• Maxima and minima
• Graphical solutions of quadratic equations
12 Properties of a parabola
• Applications of parabolas in engineering applications

• Properties of a parabola
• Applications of parabolas in engineering applications


 Mathematical computations involving Trigonometry and graphical techniques in engineering problems:
• Graphs of trigonometric functions e.g.: V=Vmsinθ,I=Imcosθ


 Trigonometry and graphical techniques in engineering problems:
• Graphs of trigonometric functions e.g.: V=Vmsinθ,I=Imcosθ

 15 Addition of equations such as: vsinθ + usin(θ + φ) graphically
• Simpson’s Rule to determine the average and root mean square values of a sinusoidal waveform

 16 Practice Exam and revision Practice Exam and revision
 17&18 Closed book Exam 1Exam 1 (worth 25% of total mark)


Semester 2

Week NumberTopic DeliveredAssessment Task

 Mathematical computations involving 

Differential Calculus

Basic concepts
• Definition of the derivative of a function as the slope of a tangent line (the gradient of a curve);
• limits; basic examples from 1st principles;

• Notation and Results of derivative of k.f(ax + b) where f(x)=x to the power of n, sin x, cos x, tan x,
• e to the power of x, ln x.

Rules of Differentiation:
• Examples are derivative of sum and difference; product rule; quotient rule; chain rule (function of a function), limited to two rules for any given function.
3The 2nd derivative
• Applications (Equations of tangents and normals; stationary points; turning points; and curve sketching; rates of change; rectilinear motion)
• Verbally formulated problems involving related rates and maxima: minima

 Mathematical computations involving

Integral Calculus

• The definition of Antiderivatives
• Integration as the inverse operation to differentiation (Examples are results of the integral of k.f(ax + b) where f(x) = x to the power of n, sin x, cos x, sec squared x, e to the power of x)

5 Methods of Integration.
• The method of substitution
• The method of integration by parts
 Assignment 2 handed out (worth 10% of total mark) due date end of week 16.
6 Methods of Integration.
Rational functions
7 Complete monitoring activities such as
Application of differential and integral calculus into engineering
8 Practice test and revision Practice test and revision
9 Closed book Test 2 Test (worth 15% of total mark)

Mathematical computations involving

Differential Equations:

• Introduction and definition
• First order separable and linear equations

 11 Complete monitoring activities such as
Applications of first order differential equations
into engineering problems

 Mathematical computations involving

Statistical data presentation:

• Appropriate presentation of frequency tables, histograms, polygons, stem and leaf plots
• Advantages of different visual presentations

Complete monitoring activities such as

Appropriate sampling techniques for gathering data encompassing:
• Design of surveys and census
• Sample data using correct technique


Mathematical computations involving

Use of the measures of central tendency encompassing:
• Estimation of percentiles and deciles from cumulative frequency polygons (ogives)

Complete monitoring activities
• Interpreting data from tables and graphs including interpolation and extrapolation
• Analysing misleading graphs


Mathematical computations involving

Measures of dispersion in statistical presentations encompassing:
• Box-and-whisker graphs
• Measures of dispersion using variance and standard deviation
• Standardised scores including Z-scores

Complete monitoring activities such as:

Correlation and regression techniques encompassing:
• Interpreting scatter plots
• Correlation coefficients
• Calculate the regression equation and use for prediction purposes


Mathematical computations involving

Elementary probability theory encompassing:
• Probabilities in everyday situations
• Counting techniques: factorials; permutations; combinations

Paschal’s Triangle and the Normal Curve encompassing:
• Paschal’s triangle
• Characteristics of the normal curve
• Standard Deviation and applications to everyday occurrences
• Probabilities using the normal curve

 16 Revision. Practice Exam 
 17 Closed book Exam 2 Exam 2 (worth 25% of total mark) week 17 or 18
 18 Closed book Exam 2 

Learning Resources

Prescribed Texts

Glyn James, Modern Engineering Mathematics, fourth edition, Pearson Education Australia


• Croft A, Davidson R, Mathematics for Engineers, third edition, Pearson Education Australia
• Croft A, Davidson R, Engineering Mathematics, third edition, Pearson Education Australia

Other Resources

Overview of Assessment

Progressive assessments will include written and oral demonstration, assignments, tests, projects and computer assisted learning.

Assessment Tasks

Assessment task 1 (assignment  1 & 2): 20%
Written and computer application assignment to demonstrate an understanding with applications of mathematical linear and spatial measurement in engineering, trigonometry and basic algebra, linear and quadratic functions involving engineering problems,  applications of differential calculus, integral calculus and problems with engineering applications, statistical data and probability. This assessment allows students to work as a group which will help to revise and prepare for the next assessments.

Assessment task 2 (Test 1 & Test 2): 30%
This assessment sdemonstrate an understanding with applications of mathematical linear and spatial measurement in engineering, trigonometry and basic algebra, linear and quadratic functions and  applications of differential calculus involving engineering problems which are covered from week 1 to week 8. (of Semester 1 and 2)

The time allowed for this test is no more that 2 hours.

Assessment task 3 (Exam 1 & Exam 2): 50%
This assessment demonstrates an understanding with applications of logarithmic and exponential functions, differential calculus, integral calculus and problems with engineering applications, statistical data and probability which is covered from week 10 to week 16. (Semester 1 and 2).


This course is graded using the following course grades-

CHD- Competent with High Distinction
CDI- Competent with Distinction
CC- Competent with Credit
CAG- Competency Achieved - Graded
NYC- Not Yet Competent
DNS- Did Not Submit for Assessment

Make sure you understand the special consideration policy available at -;ID=qkssnx1c5r0y

Assessment Matrix

Elements Covered
Assessment TaskProportion of Final AssessmentSubmission Time
1&3Assignment 1
Test 1



week 16 week 9 Semester 1
1&2Exam 125%

week 17 or 18

 Semester 1

1&3Assignment 2
Test 2
Test 1 10%

week 16 week 9 Semester 2
2&3Exam 225%week 17 or 18

Semester 2

Other Information

- Minimum student directed hours are 24 in addition to 96 scheduled teaching hours.

- Student directed hours involve completing activities such as reading online resourses, assignements, notes and other learning material, preparation for test and exam and individual student - teacher course related consultation.

Study and learning Support:

Study and Learning Centre (SLC) provides free learning and academic development advice to all RMIT students.
Services offered by SLC to support numeracy and literacy skills of the students are:

assignment writing, thesis writing and study skills advice
maths and science developmental support and advice
English language development

Please Refer to find more information about Study and learning Support

Disability Liaison Unit:

Students with disability or long-term medical condition should contact Disability Liaison Unit to seek advice and support to
complete their studies.

Please Refer to find more information about services offered by Disability Liaison Unit

Late submission:

Students requiring extensions for 7 calendar days or less (from the original due date) must complete and lodge an Application
for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.
The application must be lodged no later than one working day before the official due date. The student will be notified within
no more than 2 working days of the date of lodgment as to whether the extension has been granted.

Students seeking an extension of more than 7 calendar days (from the original due date) must lodge an Application for Special
Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days
after the official due date.

Assignments submitted late without approval of an extension will not be accepted or marked.

Special consideration:

Please Refer;ID=riderwtscifm to find more information about special consideration


Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the University.

Please Refer: to find more information about plagiarism.

Other Information:

All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.

Course Overview: Access Course Overview