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Evidence Guide: ICTTEN813 - Produce engineering solutions using numerical computations and simulation

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

ICTTEN813 - Produce engineering solutions using numerical computations and simulation

What evidence can you provide to prove your understanding of each of the following citeria?

Use advanced engineering mathematics for a range of complex engineering solutions

  1. Solve mathematical functions using complex trigonometric ratios
  2. Solve mathematical functions using manipulation of matrices and determinants to perform standard calculations
  3. Solve trigonometric functions using operations on complex numbers
  4. Solve complex functions using integral and differential calculus
  5. Solve mathematical functions using ordinary differential equations (ODE)
  6. Solve mathematical equations using Laplace transforms
  7. Solve mathematical problems using algorithmic control structures
  8. Use software simulations where possible to produce simulated calculations for a range of engineering solutions
  9. Analyse results from the simulated solution and compare to the derived solutions to adjust any variables in the calculation process
Solve mathematical functions using complex trigonometric ratios

Completed
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Teacher:
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Solve mathematical functions using manipulation of matrices and determinants to perform standard calculations

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Solve trigonometric functions using operations on complex numbers

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Solve complex functions using integral and differential calculus

Completed
Date:

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Evidence:

 

 

 

 

 

 

 

Solve mathematical functions using ordinary differential equations (ODE)

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Solve mathematical equations using Laplace transforms

Completed
Date:

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Evidence:

 

 

 

 

 

 

 

Solve mathematical problems using algorithmic control structures

Completed
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Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

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

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Design a simulation control system with queues

  1. Design a simple control system using simulation software
  2. Design a queuing system using simulation software
  3. Design a stochastic system using simulation software
  4. Document and present all numerical software simulations for the engineering problems
Design a simple control system using simulation software

Completed
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Design a queuing system using simulation software

Completed
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Design a stochastic system using simulation software

Completed
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Document and present all numerical software simulations for the engineering problems

Completed
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Teacher:
Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

ELEMENT

PERFORMANCE CRITERIA

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

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 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 and Knowledge

ELEMENT

PERFORMANCE CRITERIA

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

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 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

Evidence of ability to:

solve a range of complex mathematical functions related to telecommunications engineering

use software systems to produce simulations of mathematical solutions

analyse results of software simulations

design telecommunications systems using software simulations

document and present software solutions for engineering problems.

Note: If a specific volume or frequency is not stated, then evidence must be provided at least once.

To complete the unit requirements safely and effectively, the individual must:

analyse and manipulate functions using symbolic and numerical software, including 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 results to the screen, a graph and a file

analyse and manipulate complex numbers numerically and with symbolic software

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

determine and manipulate equations of the type called ordinary differential equations (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.