ICTTEN8197A
Produce engineering solutions using numerical computations and simulation

This unit describes the performance outcomes, skills and knowledge required to analyse, calculate and solve complex mathematical engineering problems that provide underpinning knowledge and skills for advanced telecommunication mathematical systems requiring numerical simulationNo licensing, legislative, regulatory or certification requirements apply to this unit at the time of endorsement but users should confirm requirements with the relevant federal, state or territory authority.

Application

Telecommunication network engineers apply the skills and knowledge in this unit. It involves the application of complex mathematical analysis to technical problems.

It involves the design and evaluation of systems and networks, system enhancement, and interaction with design engineering sections from manufacturers to resolve telecommunications network problems that are not common.

Relevant job roles may include:

digital signal processing

antenna performance and propagation evaluation

queuing systems

forecasting

data analysis

capacity predictions

traffic engineering

radio networks.


Elements and Performance Criteria

ELEMENT

PERFORMANCE CRITERIA

1. Use advanced engineering mathematics for a range of complex engineering solutions

1.1. Solve mathematical functions using complex trigonometric ratios

1.2. Solve mathematical functions using manipulation of matrices and determinants to perform standard calculations

1.3. Solve trigonometric functions using operations on complex numbers

1.4. Solve complex functions using integral and differential calculus

1.5. Solve mathematical functions using ordinary differential equations (ODE)

1.6. Solve mathematical equations using Laplace transforms

1.7. Solve mathematical problems using algorithmic control structures

1.8. Use software simulations where possible to produce simulated calculations for a range of engineering solutions

1.9. Analyse the results from the simulated solution and compare to the derived solutions to adjust any variables in the calculation process

2. Design a simulation control system with queues

2.1. Design a simple control system using simulation software

2.2. Design a queuing system using simulation software

2.3. Design a stochastic system using simulation software

2.4. Document and present all numerical software simulations for the engineering problems

Required Skills

Required skills

advanced mathematical skills to perform a range of complex engineering solutions

communication skills to work effectively within group

information technology skills for word processing and desktop research

literacy skills to read and interpret technical documentation

numeracy skills to gather and record data from measurements

research skills to gather data and information

technical skills to operate test equipment

Required knowledge

integration and differentiation processes

mathematical simulations

mathematical theories

numerical analysis of signals

queuing theories

software programming and debugging

software simulation

Evidence Required

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, range statement and the Assessment Guidelines for the Training Package.

Overview of assessment

Critical aspects for assessment and evidence required to demonstrate competency in this unit

Evidence of the ability to:

analyse and manipulate functions using symbolic and numerical software, including the operations of entering and manipulating polynomials in suitable software and then substitution of values and graphing

analyse and manipulate matrices and determinants, numerically with and without symbolic and numerical software

design and debug programs using algorithmic control structures and output the results to the screen, a graph and a file

analyse and manipulate complex numbers numerically and with symbolic software

determine and manipulate equations using the advanced calculus operations of differentiation and integration numerically and with symbolic software

determine and manipulate equations of the type called ODE met in telecommunications engineering applications numerically and with symbolic software

determine and manipulate Laplace transforms met in telecommunications engineering applications numerically and with symbolic software

design a simulation control system and simulate queues using software.

Context of and specific resources for assessment

Assessment must ensure:

networked computers

simulation software

relevant documentation.

Method of assessment

A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:

oral questioning or written questioning to assess required knowledge

direct observation of the candidate carrying out mathematical simulations

review of simulation control system prepared by the candidate.

Guidance information for assessment

Holistic assessment with other units relevant to the industry sector, workplaces and job role is recommended, for example:

ICTRFN8180A Analyse a mobile network system

ICTRFN8181A Analyse a satellite communications system

ICTTEN8194A Analyse a telecommunications switching network

ICTTEN8195A Evaluate and apply network security

ICTTEN8196A Evaluate and apply digital signal processing to communications system.

Aboriginal people and other people from a non-English speaking background may have second language issues.

Access must be provided to appropriate learning and assessment support when required.

Assessment processes and techniques must be culturally appropriate, and appropriate to the oral communication skill level, and language and literacy capacity of the candidate and the work being performed.

In all cases where practical assessment is used it will be combined with targeted questioning to assess required knowledge. Questioning techniques should not require language, literacy and numeracy skills beyond those required in this unit of competency.

Where applicable, physical resources should include equipment modified for people with special needs.


Range Statement

The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.

Functions may include:

cos(x)

exponential(x)

ln(1+x)

sin(x).

Complex trigonometric ratios refer to:

analysing the elements of a vector 'term by term' with the operations of division, multiplication and exponentiation

analysing the series expansion of functions commonly used in telecommunications engineering problems

applying series expansion using Taylor and Maclaurins forms to simple formulae:

polynomials

exponentials

logarithmic functions

trigonometric functions

calculating a best fit polynomial of up to degree five for a set of at least ten data points using a least square method in software

calculating a line of best fit and plot the result given a set of at least ten data points using a least square method in software

complex trigonometric ratios:

cosh functions

sinh functions

tanh functions

interpolating data for a curve of best fit

performing calculations with a simulation package.

Matrices and determinants refer to:

analysing row and column vectors as a special case of a general matrix

applying symbolic software to perform standard calculations on a matrix

calculating the co-factor of a determinant given the desired row and column

calculating the eigen values and eigen vectors of a square matrix of three dimensions

calculating the numerical and symbolic addition and/or subtraction of commensurable matrices

calculating the numerical and symbolic inner product of commensurable row and column vectors

calculating the numerical and symbolic product of a matrix by a scalar

calculating the numerical product of a pair of commensurable matrices

calculating the numerical value for the inverse of a square matrix

converting a set of linear equations to Matrix form.

Standard calculations may include:

determinant of a square matrix with up to 4x4 dimension

eigen values and eigen vectors of a square matrix with up to 4x4 dimension

solution of up to four simultaneous equations

symbolic product of a pair of commensurable matrices with outer dimensions not exceeding four.

Trigonometric functions include:

cos

cosh

sin

sinh

tan

tanh.

Operations on complex numbers refer to:

analysing the polar and rectangular forms of complex numbers

calculating complex variables with basic arithmetic operations

calculating the complex roots of polynomials with real coefficients up to third order

calculating the results of operations on complex numbers using complex forms of trigonometric functions

deriving the results for the complex operations of square root and multiple roots for up to sixth order

operations on complex numbers:

multiple roots

powers

square roots

solving an engineering problem using euler equation.

Integral and differential calculus refer to:

calculating derivatives and integrals of a single variable using standard forms and with symbolic software

calculating maximum and minimum values of a differential function

calculating partial derivatives using standard forms of differentiation

calculating the numerical differential of an equation from the sample interval

calculating the numerical integration of an equation given the sample interval

differentiating implicitly defined functions by applying the chain rule and software solution

integrating and evaluating double integrals that use standard forms and substitution methods

integrating equations by applying integration methods.

Ordinary differential equations (ODE) refer to:

solving first order ODE using standard methods

solving first and second order ODE equations using various ODE solutions methods:

applying software

numerical plot with constant coefficients

numerical solutions

trial exponential solutions determining the unknown constants.

Laplace transforms refer to:

calculating Laplace transforms of relevant equations using standard forms:

exponential equations

telecommunications related equations with polynomials up to degree two

trigonometric equations

calculating partial fraction expansion of linear equations of one variable with constant coefficients of second order degree or less

calculating the inverse Laplace transform by arrangement, into standard forms

solving a telecommunications related first order ODE using Laplace transforms numerically and with symbolic software.

Algorithmic control structures

may include:

multi-way selection (switch)

post-test repetition (repeat until)

pre-test repetition (Do While)

program fragments that use algorithmic control structures

program to output calculated results

program to request data by command line prompting

sequence

solution expressed in an acceptable algorithmic form

two-way selection (IF then Else)

well structured program to obtain the solution to a given engineering problem.

Simulated calculations may include:

manipulation of diary files

plotting the results of calculations with equations:

exponential

logarithmic

trigonometric functions

script to repeat previous calculations

simplification and expansion of symbolic equations and arithmetical expressions

symbolic variables, constants and equations

variable browsers window and command history screen

variables to store appropriate data for problem solving.

Engineering solutions may include:

antenna performance and propagation evaluation

capacity predictions

data analysis

digital signal processing

forecasting

queuing systems

radio networks

traffic engineering.

Simple control system is based on:

delay elements

feedback loop.

Queuing system includes:

fixed arrival times

fixed processing delay

single queue

single server.

Stochastic system includes:

random arrival times

random processing delay

single queue

single server.


Sectors

Unit sector

Telecommunications


Competency Field

Telecommunications networks engineering


Employability Skills

This unit contains employability skills.


Licensing Information

Refer to Unit Descriptor