Subject details

At the completion of this subject 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.
    • Introduction to MINITAB. Graphical and numerical description of data
    • Functions of several variables: partial derivatives
    • Multivariable optimisation
    • Directional derivatives
    • Curves and motion
    • Double integration and applications
    • Probability models
    • Confidence intervals
    • Prediction and tolerance intervals
    • Significance tests
    • Statistical process control
    • Linear regression
  • Study resources

    • Instructional methods

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

      • Online Assessment
      • Resources and Links
      • Audio-Video streaming

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

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

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

Special requirements

  • EquipmentDetails - Audio headset with microphone are required to access weekly consultation and help desk facilities.
  • OtherDetails -

    Students will require Windows 7 or higher. UniSA does not support Windows XP. 

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

  • Invigilated Exam (50%)
  • Homework Tasks (20%)
  • 2 projects x 15% (30%)

Textbook information is pending.

Related degrees

undergraduate USA-ENG-DEG-2019

Associate Degree in Engineering

  • Restricted - Core Subject Civil Engineering
  • Restricted - Major in Civil Engineering
  • Restricted - Core Subject in Mechanical Engineering
  • Restricted - Major in Mechanical Engineering