Statistics and Computation for Engineering

MTH20010 12.5 Credit Points Hawthorn, Sarawak


  • One semester or equivalent

Contact hours

  • 60 hours face to face + Blended

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

2023 teaching periods


Higher Ed. Semester 1

Higher Ed. Semester 2

27 Feb 23 - 28 May 23

4 Jul 23

Last self enrolment:
12 Mar 23

31 Mar 23

Last withdraw without fail:
14 Apr 23

31 Jul 23 - 29 Oct 23

5 Dec 23

Last self enrolment:
13 Aug 23

31 Aug 23

Last withdraw without fail:
15 Sep 23

Aims and objectives

This unit of study aims to provide students with mathematical knowledge and skills needed to support their concurrent and subsequent engineering and science studies.
Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to:
1. Calculate the eigenvalues and eigenvectors of 2x2 and 3x3 matrices (K2, S1)
2. Interpret the quadratic form and find its canonical form (K2, S1) 
3. Execute numerical solutions of initial and boundary value problems (K2, S1) 
4. Use finite difference methods to obtain numerical solutions of selected partial differential equations (K2, S1) 
5. Demonstrate competence using Matlab to solve statistical and computational mathematics problems (S1) 
6. Appropriately apply probability concepts including unconditional and conditional probability, probability distributions, population measures of location and dispersion to analyse data; use concepts in correlation and regression, chi-square test to analyse relationships in bivariate data (K2, S1) 
7. Apply the basic concepts of statistical inference including interval estimation, sample size and hypothesis testing in various contexts (K2, S1) 
Swinburne Engineering Competencies (A1-7, K1-6, S1-4): find out more about Engineering Skills and Competencies including the Engineers Australia Stage 1 Competencies.