Engineering Computer Modelling

Unit Outline (Higher Education)

Level of Unit in Course

AQF Level(s) of Course

Level of Unit in Course

Introductory

Intermediate

Effective Term:

2024/05

Institute / School :

Institute of Innovation, Science & Sustainability

Unit Title:

Engineering Computer Modelling

Unit ID:

ENGIN1006

Credit Points:

15.00

Prerequisite(s):

Nil

Co-requisite(s):

Nil

Exclusion(s):

(ENCOR1021 and GPENG1006)

ASCED:

039999

Other Change:

Brief description of the Unit

This course is designed to act as a mechanism to demonstrate how the theory developed within your first year courses can be used to simulate engineering systems. In this course you will usea range of mathematical and computer based formulations to represent the physical systems and predict the response of the system to changing inputs. The approach used in this course will expose you to the methods used by engineers in the real world to understand physical systems, predict their performance and ensure that they are safe.

Grade Scheme:

Graded (HD, D, C, P, MF, F, XF)

Work Experience Indicator:

No work experience

Placement Component:

Supplementary Assessment:Yes

Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment

Course Level:

Learning Outcomes:

On successful completion of the course the students are expected to be able to:

Knowledge:

K1.	Describe the range of engineering computing tools commonly available to aid in, and solve, engineering problems.

K2.	Within a computing context, characterise engineering systems and problems.

K3.	Explain the common strategies for modelling real world engineering systems and problems.

Skills:

S1.	Select an appropriate problem solving technique for an engineering system.

S2.	Apply an appropriate analytical technique through a computer program to an engineering system.

S3.	Exhibit basic proficiency in developing and using computer code.

Application of knowledge and skills:

A1.	Develop a computer program to implement an engineering model.

A2.	Simulate an engineering system and generate appropriate graphs of the results.

Unit Content:

There are many modelling techniques that can be used to describe the characteristics of a system. In this course you will learn to represent the mathematical models developed in other courses within a computer program so that for a range of conditions you can explore how the system is likely to behave. This sort of analysis is used by engineers on a daily basis so being able to implement engineering models in a computer and plot graphs of what will happen in certain conditions is a powerful tool in the engineers arsenal. In the course case studies and engineering software applications will be used to illustrate a variety of different modelling techniques that you can utilise to predict the behaviour of common industrial and engineering systems including: mechatronics, mechanical, electrical, civil, environmental, fluid, magnetic, thermal or transport.
•Computer representation of mathematical models
•Script based programming using Matlab or an equivalent language
•Professional display of results
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Graduate Attributes:

	Learning Outcomes Assessed	Assessment Tasks	Assessment Type	Weighting
1.	K1 - K3, S1 - S3, A1 - A2	Development and analysis of an engineering system through a mathematical model implemented in a computer program.	Report/Presentation/Demonstration	50 - 70%
2.	K1 - K3, S1 - S3, A1 - A2	Actively participate in all learning activities including attendance and participation in classes, exercises, recommended and supplementary readings or other activities.	Online quiz/Class test	30 - 50%

Adopted Reference Style:

Other (Refer to the library website for more information: IEEE)

Professional Standards / Competencies:

Standard / Competency

Engineers Australia - Stage 1 (Professional): 2017 accreditation & AQF

Attribute			Assessed	Level
1 Knowledge and Skill Base
	1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
		1.1.1 Engages with the engineering discipline at a phenomenological level, applying sciences and engineering fundamentals to systematic investigation, interpretation, analysis and innovative solution of complex problems and broader aspects of engineering practice.	Yes	Introductory
	1.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
		1.2.1 Develops and fluently applies relevant investigation analysis, interpretation, assessment, characterisation, prediction, evaluation, modelling, decision making, measurement, knowledge management and communication tools and techniques pertinent to the engineering discipline.	Yes	Introductory
	1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
		1.3.1 Proficiently applies advanced technical knowledge and skills in at least one specialist practice domain of the engineering discipline.	Yes	Introductory
	1.4 Discernment of knowledge development and research directions within the engineering discipline.
		1.4.1 Identifies and critically appraises current developments, advanced technologies, emerging issues and interdisciplinary linkages in at least one specialist practice domain of the engineering discipline.	Yes	Introductory
		1.4.2 Interprets and applies selected research literature to inform engineering application in at least one specialist domain of the engineering discipline.	Yes	Introductory
	1.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline.
		1.6.1 Applies systematic principles of engineering design relevant to the engineering discipline.	Yes	Introductory
		1.6.6 Appreciates the formal structures and methodologies of systems engineering as a holistic basis for managing complexity and sustainability in engineering practice.	Yes	Introductory
2 Engineering Application Ability
	2.1 Application of established engineering methods to complex engineering problem solving.
		2.1.1 Identifies, discerns and characterises salient issues, determines and analyses causes and effects, justifies and applies appropriate simplifying assumptions, predicts performance and behaviour, synthesises solution strategies and develops substantiated conclusions.	Yes	Introductory
		2.1.2 Ensures that all aspects of an engineering activity are soundly based on fundamental principles - by diagnosing, and taking appropriate action with data, calculations, results, proposals, processes, practices, and documented information that may be ill-founded, illogical, erroneous, unreliable or unrealistic.	Yes	Introductory
		2.1.3 Competently addresses engineering problems involving uncertainty, ambiguity, imprecise information and wide-ranging and sometimes conflicting technical and non-technical factors.	Yes	Introductory
		2.1.4 Partitions problems, processes or systems into manageable elements for the purposes of analysis, modelling or design and then re-combines to form a whole, with the integrity and performance of the overall system as the paramount consideration.	Yes	Introductory
		2.1.5 Conceptualises alternative engineering approaches and evaluates potential outcomes against appropriate criteria to justify an optimal solution choice.	Yes	Introductory
	2.2 Fluent application of engineering techniques, tools and resources.
		2.2.1 Proficiently identifies, selects and applies the materials, components, devices, systems, processes, resources, plant and equipment relevant to the engineering discipline.	Yes	Introductory
		2.2.2 Constructs or selects and applies from a qualitative description of a phenomenon, process, system, component or device a mathematical, physical or computational model based on fundamental scientific principles and justifiable simplifying assumptions.	Yes	Introductory
		2.2.3 Determines properties, performance, safe working limits, failure modes, and other inherent parameters of materials, components and systems relevant to the engineering discipline.	Yes	Introductory
		2.2.4 Applies a wide range of engineering tools for analysis, simulation, visualisation, synthesis and design, including assessing the accuracy and limitations of such tools, and validation of their results.	Yes	Introductory
		2.2.5 Applies formal systems engineering methods to address the planning and execution of complex, problem solving and engineering projects.	Yes	Introductory
		2.2.6 Designs and conducts experiments, analyses and interprets result data and formulates reliable conclusions.	Yes	Introductory
		2.2.7 Analyses sources of error in applied models and experiments; eliminates, minimises or compensates for such errors; quantifies significance of errors to any conclusions drawn.	Yes	Introductory
3 Professional and Personal Attributes
	3.2 Effective oral and written communication in professional and lay domains.
		3.2.1 Is proficient in listening, speaking, reading and writing English, including: a) comprehending critically and fairly the viewpoints of others; b) expressing information effectively and succinctly, issuing instruction, engaging in discussion, presenting arguments and justification, debating and negotiating to technical and non-technical audiences and using textual, diagrammatic, pictorial and graphical media best suited to the context; c) representing an engineering position, or the engineering profession at large to the broader community; d) appreciating the impact of body language, personal behaviour and other non-verbal communication processes, as well as the fundamentals of human social behaviour and their cross-cultural differences.	Yes	Introductory
	3.3 Creative, innovative and pro-active demeanour.
		3.3.1 Applies creative approaches to identify and develop alternative concepts, solutions and procedures, appropriately challenges engineering practices from technical and non-technical viewpoints; identifies new technological opportunities.	Yes	Introductory
		3.3.3 Is aware of broader fields of science, engineering, technology and commerce from which new ideas and interfaces may be may drawn and readily engages with professionals from these fields to exchange ideas.	Yes	Introductory
	3.4 Professional use and management of information.
		3.4.1 Is proficient in locating and utilising information - including accessing, systematically searching, analysing, evaluating and referencing relevant published works and data; is proficient in the use of indexes, bibliographic databases and other search facilities.	Yes	Introductory
		3.4.2 Critically assesses the accuracy, reliability and authenticity of information.	Yes	Introductory
	3.5 Orderly management of self, and professional conduct.
		3.5.1 Demonstrates commitment to critical self-review and performance evaluation against appropriate criteria as a primary means of tracking personal development needs and achievements.	Yes	Introductory