Engineering Modelling

Undergraduate | 2026

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Area/Catalogue
MATH 2023
Course ID icon
Course ID
207587
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

This course will develop students' knowledge of mathematics (multivariable calculus) and statistics, and mathematical software in the context of engineering problems. Calculus. Partial differentiation of multivariable functions, multiple integration. Curves in space. Curve fitting, optimization, formulation and solution of differential equations relating to engineering problems with analytical and software solutions. Statistics. Graphical and numerical description of data sets. Probability models, confidence intervals, prediction and tolerance intervals, significance tests, statistical process control, linear regression, statistical software. Computer assisted modelling and problem solving. Apply mathematical principles and tools to selected examples of modelling specific to each of the engineering discipline areas.

Course learning outcomes

  • Use the techniques of differential calculus of functions of two or more variables to identify critical points and rates of change of functions.
  • Use the techniques of integral calculus of functions of two or more variables to calculate areas, volumes, and masses.
  • Use the techniques of parametrized curves in two and three dimensional space to calculate velocity, speed, arc length and curvature.
  • Use the techniques associated with hypothesis testing and statistical inference for means and proportions applied to engineering situations.
  • Use the technique of least squares regression to analyse relationships between quantitative variables for engineering applications.
  • Develop, in a team, a model of a practical problem in mechanical engineering, and solve using appropriate software.
  • Develop, in a team, a model of a practical problem in civil engineering, more independently than in Objective 6, and solve using appropriate software.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A