Course Title: Computational Engineering 2

Part A: Course Overview

Course Title: Computational Engineering 2

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


Bundoora Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013,
Sem 2 2014

Course Coordinator: Dr. Toh Yen Pang

Course Coordinator Phone: +61 3 9925 6128

Course Coordinator Email:

Course Coordinator Location: Bundoora east 251-3-22

Course Coordinator Availability: Refer to consultation board

Pre-requisite Courses and Assumed Knowledge and Capabilities

MIET 1084 - Finite Element Analysis (or equivalent)

Course Description

This elective course introduces students to advanced concepts of linear and non-linear modeling of engineering problems using numerical methods, particularly those related to industry.

This course introduces the students to advanced  Finite Element (FE) analysis topics and modeling techniques. It enables students to solve with competence practical problems related to mechanical components and structures.

The course represents the basis for the analysis and solution of real life structures and processes. It provides continuation of the preceding course. 

This course prepares students for the analysis and solution of practical problems related to modern design and manufacturing technology and familiarizes them with up-to-date commercial engineering software widely used in industry both in Australia and overseas.

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level.
This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information.(;ID=eyj5c0mo77631)


Objectives/Learning Outcomes/Capability Development

-To develop an understanding for the major theories, approaches and methodologies used in FE analysis;
-To build up the skills in the actual implementation of FE method using commercial codes;
-To gain experience in the application of FE analysis to real engineering designs.

This course will advance the students’ development of the following broad capabilities:

Ability to apply knowledge of basic science and engineering fundamentals
Ability to communicate effectively, not only with engineers but also with the community at large
In-depth technical competence in at least one engineering discipline
Ability to undertake problem identification, formulation and solution
Ability to utilise a systems approach to design and operational performance
Understanding of the social, cultural, global and environmental responsibilities of the professional Engineer, and the principles of sustainable design and development
Understanding of and commitment to professional and ethical responsibilities
Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, as team leader or manager as well as an effective team member 
Expectation and capacity to undertake lifelong learning
Ability to use appropriate techniques and resources
General knowledge necessary to understand the place of engineering in society
Proficiency in engineering design
Ability to conduct an engineering project
Understanding of the business environment
Ability to manage information and documentation
Capacity for creativity and innovation
Ability to demonstrate professional attitudes 


Overview of Learning Activities

The subject will be conducted in a manner which facilitates the development of an adult learning capability. The objective of the lectures and tutorials is not to convey distilled fact to be reproduced by students but to provide a guide to where learning effort should be directed and to identify problem areas which need to be addressed in an interactive and participatory manner. This approach seeks to emulate the way learning occurs in the work environment - by initiative rather than by direction.

Overview of Learning Resources

* Text Book.
* Program User Manuals
* Lecture Notes
* Other references.

Overview of Assessment

Assessment may include several or all of the following items:

* Assignments
* Class test  
* End of semester exam