Faculty of Engineering

Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

To find units available for enrolment in the current year, you must make sure you use the indexes and browse unit tool in the current edition of the Handbook.

FacultyFaculty of Engineering
Organisational UnitDepartment of Materials Engineering
OfferedClayton Second semester 2013 (Day)
Coordinator(s)Professor Wayne Cook


The unit shows how the properties of materials and their structure can be mathematically analysed. Students will apply mathematical techniques to solve problems in various materials engineering fields. Examples of mechanical and electrical properties of materials are examined by the application of matrix operations. Heat transfer and diffusion in materials processing are used as exemplars of partial differential equations and boundary value problems. The error function is introduced. Finite difference methods are explored in relation to heat transfer and diffusion problems, basic curve fitting is introduced as a way of modelling a material's response to deformation. The statistical treatment of experimental data is presented. The distribution of errors for discrete and continuous data are analysed via the Binomial, Poisson and Normal distributions. Statistical testing and fitting of data and various forms of least square fitting of data is introduced. The applicability of non-parametric statistics is applied to a range of non-ordinal data. Problems are analysed using Excel and Matlab.


To develop:

  1. An understanding of the mathematical analysis of structure-property relationships in materials engineering

  1. The ability to apply matrix operations to analyse material properties governed by material orientation

  1. The ability to apply partial differential equations and their solution to practical heat transfer and diffusion problems in materials systems

  1. A basic understanding of numerical methods

  1. An understanding of the numerical treatment of experimental errors

  1. Statistical data analysis and evaluation of the significance of the analysis

  1. Skills in the use of Excel and Matlab software


Assignments: 40%
Laboratory class: 10%
Examination (3 hours): 50%

Chief examiner(s)

Contact hours

Two 1 hour lectures, one 2 hour tutorial/problem solving class, and 7.5 hours of private study per week and two 3 hour laboratory classes per semester