Course Coordinator:Kenneth Ang (lang@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Sunshine CoastUniSC Moreton Bay |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Please go to usc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
This course is designed to demonstrate how the theory developed within your first year courses can be used to simulate engineering systems. Using a project-based format, you will develop your computing skills in the context of rapidly developing technologies (e.g., Internet of Things (IoT), artificial intelligence (AI), computer vision using micro-computers and controllers). 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.
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – Asynchronous weekly learning material | 1hr | Week 1 | 13 times |
Seminar – On campus | 1hr | Week 1 | 3 times |
Tutorial/Workshop 1 – On-campus | 2hrs | Week 1 | 10 times |
Laboratory 1 – On campus | 2hrs | Week 2 | 5 times |
Topics may include:
100 Level (Introductory)
12 units
Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Mapping Completing these tasks successfully will contribute to you becoming... | Professional Standard Mapping * Competencies from multiple Professional Bodies (see below) * | |
1 | Describe the range of engineering computing tools commonly available to aid in, and solve, engineering problems. | Knowledgeable |
1, 1, 1.2.a, 1.2.a, 1.2, 1.2 |
2 | Explain the common strategies for modelling real world engineering systems and problems. | Knowledgeable |
1, 1, 1.2.a, 1.2.a, 1.2, 1.2 |
3 | Evaluate engineering systems by selecting appropriate analytical techniques in computer programs. | Creative and critical thinker |
2, 2, 2.1.a, 2.1.a, 2.1, 2.1 |
4 | Solve engineering problems through developing and using computer code. | Creative and critical thinker |
2, 2, 2.1.a, 2.1.a, 2.1, 2.1 |
5 | Develop a computer program to implement an engineering model. | Empowered |
2, 2, 2.2.b, 2.2.b, 2.2, 2.2 |
6 | Simulate an engineering system and generate appropriate graphs of the results. | Engaged |
2, 2, 2.2.d, 2.2.d, 2.2, 2.2, 3, 3, 3.2.a, 3.2.a, 3.2, 3.2 |
CODE | COMPETENCY |
Engineers Australia Stage 1 Engineering Technologist Competency Standards | |
1 | Elements of competency: Knowledge and Skill Base |
1.2.a | Knowledge and Skill Base - Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the technology domain: Fluently applies relevant investigation, analysis, interpretation, assessment, characterisation, prediction, evaluation, modelling, decision making, measurement, evaluation, knowledge management and communication tools and techniques pertinent to the technology domain. |
1.2 | Knowledge and Skill Base: Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the technology domain. |
2 | Elements of competency: Engineering Application Ability |
2.1.a | Engineering Application Ability - Application of established engineering methods to broadly-defined problem solving within the technology domain: 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. |
2.2.b | Engineering Application Ability - Application of engineering techniques, tools and resources within the technology domain: Understands the principles, limitations and accuracy of mathematical, physical or computational modelling. |
2.2.d | Engineering Application Ability - Application of engineering techniques, tools and resources within the technology domain: Determines properties, performance, safe working limits, failure modes, and other inherent parameters of materials, components and systems relevant to specialist area(s) of the technology domain. |
2.1 | Engineering Application Ability: Application of established engineering methods to broadly-defined problem solving within the technology domain. |
2.2 | Engineering Application Ability: Application of engineering techniques, tools and resources within the technology domain. |
3 | Elements of competency: Professional and Personal Attributes |
3.2.a | Professional and Personal Attributes - Effective oral and written communication in professional and lay domains: Is proficient in listening, speaking, reading and writing English. |
3.2 | Professional and Personal Attributes: Effective oral and written communication in professional and lay domains. |
Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1 | Elements of competency: Knowledge and Skill Base |
1.2.a | Knowledge and Skill Base - Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline: Develops and fluently applies relevant investigation analysis, interpretation, assessment, characterisation, prediction, evaluation, modelling, decision making, measurement, evaluation, knowledge management and communication tools and techniques pertinent to the engineering discipline. |
1.2 | Knowledge and Skill Base: Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. |
2 | Elements of competency: Engineering Application Ability |
2.1.a | Engineering Application Ability - Application of established engineering methods to complex engineering problem solving: 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. |
2.2.b | Engineering Application Ability - Fluent application of engineering techniques, tools and resources: 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. |
2.2.d | Engineering Application Ability - Fluent application of engineering techniques, tools and resources: 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. |
2.1 | Engineering Application Ability: Application of established engineering methods to complex engineering problem solving. |
2.2 | Engineering Application Ability: Fluent application of engineering techniques, tools and resources. |
3 | Elements of competency: Professional and Personal Attributes |
3.2.a | Professional and Personal Attributes - Effective oral and written communication in professional and lay domains: Is proficient in listening, speaking, reading and writing English. |
3.2 | Professional and Personal Attributes: Effective oral and written communication in professional and lay domains. |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Not applicable
Not applicable
ENG103
Not applicable
Standard Grading (GRD)
High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
In each of the first ten weeks of the course you are required to complete a workshop activity. Feedback from the tutor will be provided to you on your progress in each of these workshops.
Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
All | 1 | Portfolio | Individual | 30% | 1500 words |
Week 8 | Online Assignment Submission with plagiarism check |
All | 2 | Quiz/zes | Individual | 20% | 6 x quizzes |
Throughout teaching period (refer to Format) | Online Test (Quiz) |
All | 3 | Artefact - Technical and Scientific, and Written Piece | Individual | 50% | 1 x Artefact + 1500 words |
Week 12 | Online Assignment Submission with plagiarism check |
All - Assessment Task 1:Portfolio | |
Goal: | |
Product: | Portfolio |
Format: | n/a |
Criteria: |
|
All - Assessment Task 2:Quiz/zes | |
Goal: | |
Product: | Quiz/zes |
Format: | Online Quizzes. Weeks 2,4,6,8,10,12 |
Criteria: |
|
All - Assessment Task 3:Artefact | |
Goal: | |
Product: | Artefact - Technical and Scientific, and Written Piece |
Format: | n/a |
Criteria: |
|
A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
Please note that you need to have regular access to the resource(s) listed below. Resources may be required or recommended.
Required? | Author | Year | Title | Edition | Publisher |
Recommended | Simon Monk | 2015 | Programming the Raspberry Pi, Second Edition: Getting Started with Python | n/a | McGraw-Hill Education TAB |
A micro-computer (Raspberry Pi), micro-controller (Arduino) and a range of sensors (depending on what you wish to build) will be required for this course. You can purchase your own or borrow from a 'technical' library.
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Your eligibility for supplementary assessment in a course is dependent of the following conditions applying: The final mark is in the percentage range 47% to 49.4% The course is graded using the Standard Grading scale You have not failed an assessment task in the course due to academic misconduct
Late submission of assessment tasks may be penalised at the following maximum rate: - 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. - 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. - A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.
UniSC is committed to a culture of respect and providing a safe and supportive environment for all members of our community. For immediate assistance on campus contact SafeUniSC by phone: 07 5430 1168 or using the SafeZone app. For general enquires contact the SafeUniSC team by phone 07 5456 3864 or email safe@usc.edu.au.
The SafeUniSC Specialist Service is a Student Wellbeing service that provides free and confidential support to students who may have experienced or observed behaviour that could cause fear, offence or trauma. To contact the service call 07 5430 1226 or email studentwellbeing@usc.edu.au.
For help with course-specific advice, for example what information to include in your assessment, you should first contact your tutor, then your course coordinator, if needed.
If you require additional assistance, the Learning Advisers are trained professionals who are ready to help you develop a wide range of academic skills. Visit the Learning Advisers web page for more information, or contact Student Central for further assistance: +61 7 5430 2890 or studentcentral@usc.edu.au.
Student Wellbeing provide free and confidential counselling on a wide range of personal, academic, social and psychological matters, to foster positive mental health and wellbeing for your academic success.
To book a confidential appointment go to Student Hub, email studentwellbeing@usc.edu.au or call 07 5430 1226.
Ability Advisers ensure equal access to all aspects of university life. If your studies are affected by a disability, learning disorder mental health issue, injury or illness, or you are a primary carer for someone with a disability or who is considered frail and aged, AccessAbility Services can provide access to appropriate reasonable adjustments and practical advice about the support and facilities available to you throughout the University.
To book a confidential appointment go to Student Hub, email AccessAbility@usc.edu.au or call 07 5430 2890.
For more information on Academic Learning & Teaching categories including:
For more information, visit https://www.usc.edu.au/explore/policies-and-procedures#academic-learning-and-teaching
UniSC is committed to excellence in teaching, research and engagement in an environment that is inclusive, inspiring, safe and respectful. The Student Charter sets out what students can expect from the University, and what in turn is expected of students, to achieve these outcomes.