Engineering Modelling - 2017

To enrol in this unit, you must be accepted into a course from the provider. Read before you start

Unit summary


  • Level of Study: Undergraduate Level 2
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: HECS-HELP
  • Availability for 2017: SP2
  • Availability for 2018: SP2
  • Assessment: Exercises - homework tasks (20%) , Invigilated Exam - 3 hours, 2250 words (50%) - Learn more

Unit provided by

2017 Fees
Domestic 1,131.00
HECS 1,131.00

Engineering Modelling is the capstone unit in the engineering mathematics part of the Associate degree in Engineering. The unit builds on knowledge already gained, and further develops problem-solving skills. There are three parts or 'modules' that make up the unit: mathematics with MATLAB, statistics and two MATLAB group projects. The two projects form a major part of the unit: they require use of mathematics, MATLAB, teamwork and writing skills to solve realistic engineering problems.

At the completion of this unit students will be able to:

  1. use the techniques of differential calculus of functions of two or more variables
  2. use the techniques of integral calculus of functions of two or more variables
  3. use the techniques of parameterised curves in two and three dimensional space
  4. use the techniques associated with statistical inference for means and proportions applied to engineering situations
  5. use the technique of least squares regression to analyse relationships between two quantitative variables for engineering applications
  6. develop in a team, a MATLAB program using functions of two variables to model a practical problem in mechanical engineering
  7. develop in a team, a MATLAB program using functions of two variables to model a practical problem in civil engineering, more independently than in the previous outcome.
  • Exercises — homework tasks (20%)
  • Invigilated Exam — 3 hours, 2250 words (50%)
  • Project — 2 projects x 15% (30%)
For more information on invigilated exams see Exams and results

Mandatory conditional prerequisites

You must either have successfully completed the following unit(s) before starting this unit, or currently be enrolled in the following unit(s) in a prior study period; or enrol in the following unit(s) to study prior to this unit:

Please note that your enrolment in this unit is conditional on successful completion of these prerequisite unit(s). If you study the prerequisite unit(s) in the study period immediately prior to studying this unit, your result for the prerequisite unit(s) will not be finalised prior to the close of enrolment. In this situation, should you not complete your prerequisite unit(s) successfully you should not continue with your enrolment in this unit. If you are currently enrolled in the prerequisite unit(s) and believe you may not complete these all successfully, it is your responsibility to reschedule your study of this unit to give you time to re-attempt the prerequisite unit(s).

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

Recommended prerequisites

You are recommended to have completed the following unit(s) or have equivalent knowledge before starting this unit:

  • Additional materials — Students will require Windows Vista, Windows 7 or higher. UniSA does not support Windows XP.
  • Audio/Visual equipment — Audio headset with microphone are required to access weekly consultation and help desk facilities.

In order to enrol in this unit, you must be accepted into one of the following courses:

Please visit the course details page and read the Requirements tab for more information about eligibility.

This unit addresses the following topics.

1Introduction to MINITAB. Graphical and numerical description of data
2Functions of several variables: partial derivatives
3Multivariable optimisation
4Directional derivatives
5Curves and motion
6Double integration and applications
7Probability models
8Confidence intervals
9Prediction and tolerance intervals
10Significance tests
11Statistical process control
12Linear regression

This unit is delivered using the following methods and materials:

Instructional Methods

  • Audio/Video conferencing
  • Blogs
  • Discussion Forum/Discussion Board
  • E-Portfolios
  • Online assignment submission
  • Podcasting/Lecture capture
  • Standard Media
  • Virtual Classroom
  • Web links
  • Wikis

Online materials

  • Audio/Video - Streaming
  • Online Assessment
  • Resources and Links

This unit is part of a major, minor, stream or specialisation in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.

Textbooks are subject to change within the academic year. Students are advised to purchase their books no earlier than one to two months before the start of a unit.

Click on the titles of the listed books below to find out more:

Required textbooks

  • Value Pack Calculus, Early Transcendentals Pearson New

    By:Edwards & Penney

    ISBN: 9781486024933


    Supplier:Go to The Co-op Bookshop

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