Engineering Mathematics 3C

MTH20006 12.5 Credit Points Hawthorn, Sarawak


  • One Semester or equivalent

Contact hours

  • 60

On-campus unit delivery combines face-to-face and digital learning.

Aims and objectives

This unit is no longer offered from 2018 onwards.
This unit of study aims to provide you with mathematical and statistical knowledge and skills to support your engineering studies.
After successfully completing this unit, you should be able to:
1. Apply eigenvalue techniques to the solution of differential equations and other problems. (K2, S1, S2)
2. Use Euler and Runge-Kutta methods to solve first and second order initial value problems. (K2, S1, S2)
3. Apply the finite difference method to the solution of boundary value problems. (K2, S1, S2)
4. Construct and interpret various graphical representations and summary statistics of datasets. (K2)
5. Apply appropriately probability concepts including unconditional and conditional probability, probability distributions, population measures of location and dispersion. (K2, S1, S2)
6. Construct and interpret quantile-quantile plots. (K2)
7. Apply the basic concepts of statistical inference including interval estimation, sample size and hypothesis testing in various contexts. (K2, S1, S2)
8. Use concepts in correlation and regression, goodness-of-fit to analyse relationships in bivariate data. (K2, S1, S2)
9. Apply the basic principles of extreme value theory. (K2, S1, S2)
10. Use appropriate mathematical and statistical software to assist with the above outcomes. (K2, S1)
Swinburne Engineering Competencies for this Unit of Study
This Unit of Study will contribute to you attaining the following Swinburne Engineering Competencies:
K2 Maths and IT as Tools: Proficiently uses relevant mathematics and computer and information science concepts as tools.
S1 Engineering Methods: Applies engineering methods in practical applications.
S2 Problem Solving: Systematically uses engineering methods in solving complex problems.