Course Title: Computational Engineering 1

Part A: Course Overview

Course Title: Computational Engineering 1

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities. 

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT:

Please read the Student website for additional requirements of in-person attendance: 

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 


Course Code




Learning Mode

Teaching Period(s)


Bundoora Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


Bundoora Campus


172H School of Engineering


Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022

Course Coordinator: Professor Peter Dabnichki

Course Coordinator Phone: +61 3 9925 7278

Course Coordinator Email:

Course Coordinator Location: B251 F03 R061

Pre-requisite Courses and Assumed Knowledge and Capabilities

Finite Element Analysis (MIET1084 Finite Element Analysis or equivalent)

Course Description

The course develops your skills in the finite element method so that you can solve advanced engineering problems in solid mechanics, machines and structures. You will study theoretical basics and practical applications of the finite element method in advanced applications including linear and non-linear modelling of engineering problems using numerical methods.. This course prepares you for the analysis and solution of practical problems related to modern design and manufacturing technology and familiarises you 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 onward. See the WAM information web page for more information.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes:
1 Needs, Context and Systems
1.1 Exposit legal, social, economic, ethical and environmental interests, values, requirements and expectations of key stakeholders
2 Problem Solving and Design
2.1 Anticipate the consequences of intended action or inaction and understand how the consequences are managed collectively by your organisation, project or team
3 Analysis
3.1 Apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences.
4 Professional Practice
4.1 Initiate, plan, lead or manage engineering activities
4.2 Understand the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline
4.3 Communicate in a variety of different ways to collaborate with other people, including accurate listening, reading and comprehension, based on dialogue when appropriate, taking into account the knowledge, expectations, requirements, interests, terminology
5 Research
5.1 Demonstrate professional use and management of information.

Course Learning Outcomes (CLOs)

On completion of this course you should be able to:
1. Simulate engineering applications using non-linear modelling and simulation of engineering applications
2. Tackle individualised advanced engineering problems
3. Develop enough skill to identify between linear and non-linear problems and solve these problems accordingly.
4. Utilise up-to-date interactive modelling and simulation techniques, and commercial software, in the solution of linear and non-linear structural problems.
5. Demonstrate a high level of professionalism and a responsible approach in computer usage and numerical modelling

Overview of Learning Activities

The course will provide students with the opportunity to develop as adult learners through:
1. Preparation for lectures and tutorials
2. Learning from lectures.
3. Hands-on training in computer-lab tutorials as well as self-study periods
4. Development of numerical modelling skills
5. Critical assessment of validity of results
6. Independent learning from manuals, journal articles and reference books
7. Timely submission of assignment tasks

The course 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

Course-related resources will be provided on the course Blackboard site, which is accessed through myRMIT. This material can include any course notes, tutorial files, FEM Program User Manual (available online) and references.           

Overview of Assessment

X This course has no hurdle requirements.
☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

Assessment tasks
Early Assessment Task:  Test 1 Weighting 20% This assessment task supports CLOs: 1, 3, 4 Description:  Non-linear analysis and plasticity
Assessment Task 2: Short Time Assignment over a 24 hour window Weighting 30%  This assessment task supports CLOs 1, 3, 4  Description: Non-linear analysis and plasticity
Assessment Task 3: Group Project Weighting 50% This assessment task supports CLO 1, 2, 3, 4, 5 Description: Implicit and explicit dynamic analysis