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Unit of Study ENG72005 - Engineering Modelling and Experimentation II (2020)

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Unit Snapshot

  • Enrolment information

    There will be a 3 day compulsory residential for Online and On Campus students that will be held on the Lismore campus. Please refer to http://scu.edu.au/timetables for further information on timetables. It is assumed that students have a basic knowledge of logic and programming, principles of experimentation, and concepts of uncertainty and error.

Unit description

Extends skills in logic, programming and experimentation to solve engineering problems. Students further develop their ability to conduct computer modelling and virtual experimentation using simulation packages. Students also extend their skills in programming and application of instrumentation and sensors for engineering experimentation and modelling through the analysis of practical engineering problems.

Unit content

Engineering sensors and instrumentation

Programming for engineering simulation

Application of modelling software to solve engineering problems

Analysis of model accuracy, reliability, sensitivity and uncertainty

Availabilities

Not currently available in 2020

Learning outcomes and graduate attributes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
Learning outcome count Learning outcome description GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 identify and characterise a range of sensors and instrumentation used to make measurements in engineering
2 apply industry standard modelling and simulation software to solve engineering problems
3 critically analyse input and output data to evaluate accuracy and uncertainty in models and simulations.

On completion of this unit, students should be able to:

  1. identify and characterise a range of sensors and instrumentation used to make measurements in engineering
    • GA4:
  2. apply industry standard modelling and simulation software to solve engineering problems
    • GA2:
    • GA4:
  3. critically analyse input and output data to evaluate accuracy and uncertainty in models and simulations.
    • GA1:
    • GA4: