Course Title: Undertake computations in an electrotechnology environment

Part B: Course Detail

Teaching Period: Term1 2009

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: elmas.aliu@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Zoran Savic

zoran.savic@rmit.edu.au

99254996

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

Nil

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

Element:

• 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.


Learning Outcomes


N/A


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


Week NumberDate Topic DeliveredAssessment Task
1 Introduction to the competency of EEET6783C

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
• Perimeters of plane figures, polygons and the perimeter of shapes involving arcs
• Pythagoras’ theorem to engineering situations
 
2 Mathematical spatial measurement in engineering:
• Areas of combined shapes
• Volume and surface areas of solids

Trigonometry:

• Right triangle trigonometry in engineering problems

 
3 Trigonometry (cont):

• Trigonometrical concepts in problems involving inclined planes, vectors and force sand electrical sinusoidal waveforms
• Sine and cosine rules in practical applications
• Mathematical concepts for radial and triangulation surveys
 
4 Basic Algebra in engineering calculations:
• Basic operations involving substitutions, additions, removal of brackets, multiplication and divisions
• Solving linear equations
• Transportation in non-linear equations

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
Assignment 1 (Part B, Computer Lab) handed out (worth 10% of total mark) due date end of week 9.
5 Mathematical computations involving polynomials:
• Adding, subtracting and multiplying polynomials
• Factorising trinomials
• Solving quadratic equation

Mathematical computations involving quadratic graphs
• Graphs of quadratic functions
• Maxima and minima
• Graphical solutions of quadratic equations
Assignment 1 (Part A) handed out (worth 10% of total mark) due date end of week 9.
6 • Properties of a parabola
• Applications of parabolas in engineering applications

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

 
7 • 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
 
8 Practice test and revisionPractice test and revision
9 Test 1Test 1 (worth 30% of total mark)
10 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.
• The 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

 
11 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)
 
12 Methods of Integration.
• The method of substitution
• The method of integration by parts
 
13 Differential Equations:

• Introduction and definition
• First order separable and linear equations

• Applications of first order differential equations
Assignment 2 (Part B, Computer Lab )worth 10% of total mark) handed out. Due date last day of week 17.
14 Statistical data presentation:

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

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

Use of the measures of central tendency encompassing:
• Estimation of percentiles and deciles from cumulative frequency polygons (ogives)
• Interpreting data from tables and graphs including interpolation and extrapolation
• Analysing misleading graphs

Assignment 2 (Part A)
worth 10% of total mark) handed out. Due date last day of week 17.
15 Measures of dispersion in statistical presentations encompassing:
• Box-and-whisker graphs
• Measures of dispersion using variance and standard deviation
• Standardised scores including Z-scores

Correlation and regression techniques encompassing:
• Interpreting scatter plots
• Correlation coefficients
• Calculate the regression equation and use for prediction purposes
 
16 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
 
17 Revision. Practice test 2Practice test
18 Test 2Test 2 (worth 30% of total mark)


Learning Resources

Prescribed Texts

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

9780132391443


References

• 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

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


Overview of Assessment

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


Assessment Tasks

Assessment task 1 (assignment 1A): 10%
Written 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 which are covered from week 1 to week 8. This assessment allows students to work as a group which will help to revise and prepare for the next assessment (Tes1) which will cover similar topics.

Assessment task 2 (assignment 1B): 10%
Computer application of Maple 11 (or 12) on topics similar to written assignment 1A, with practical demonstrations.

Assessment task 3 (test 1): 30%
This assessment demonstrates an understanding with applications of mathematical linear and spatial measurement in engineering, trigonometry and basic algebra, linear and quadratic functions involving engineering problems which are covered from week 1 to week 8. The time allowed for this test is no more that 2.5 hours.

Assessment task 4 (assignment 2A): 10%
Written assignment to demonstrate an understanding with applications of differential calculus, integral calculus and problems with engineering applications, statistical data and probability which is covered from week 10 to week 17. Similar to the assignment 1, students can work/study in groups which will help to revise and prepare for the next assessment (Test 2) which will cover similar topics.
Assessment task 5 (assignment 2B): 10%
Computer application of Maple 11 (or 12) on topics similar to written assignment 2A, with practical demonstrations.

Assessment task 4 (test 2): 30%
This assessment demonstrates an understanding with applications of differential calculus, integral calculus and problems with engineering applications, statistical data and probability which is covered from week 10 to week 17. The time allowed for this test is no more that 2.5 hours.(Similar to Test 1).


Assessment Matrix

Competency National CodeCompetency TitleCluster Title
UEENEEE050BElectro ComputationEngineering Maths A

Assessment Types

Assignment 1Test 1Assignment 2Test 2
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