Course Coordinator:Gerald Ijemaru (gijemaru@usc.edu.au) School:School of Science, Technology and Engineering
UniSC 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 unisc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
In this course you will apply knowledge and techniques to design software and hardware for microcomputer systems, interfaces and applications. You will integrate microcomputer architecture; C language programming; I/O methods and interface techniques to develop structures and software for 8-bit microprocessors.
| Activity | Hours | Beginning Week | Frequency |
| Blended learning | |||
| Seminar – On campus | 1hr | Week 1 | Once Only |
| Tutorial/Workshop 1 – On campus | 2hrs | Week 2 | 10 times |
| Laboratory 1 – On campus | 2hrs | Week 1 | 5 times |
| Learning materials – Asynchronous learning materials | 1hr | Week 1 | 13 times |
300 Level (Graduate)
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 * Engineers Australia Stage 1 Professional Engineer Competency Standards | |
| 1 | Understand a range of high-performance computing systems | Knowledgeable |
1.2
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| 2 | Explain the operation of memory hierarchy in modern computer system. | Creative and critical thinker |
1.3
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| 3 | Understand constraints and challenges in real-time embedded systems and apply design techniques to overcome them. | Empowered |
1.6
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| 4 | Design of small-scale embedded systems using design tools | Empowered |
2.2, 2.3 |
| 5 | Work effectively as a team on implementing a proposed design project and prepare project demonstration and project report. | Engaged |
3.6
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| CODE | COMPETENCY |
| Engineers Australia Stage 1 Professional Engineer Competency Standards | |
| 1.2 | Knowledge and Skill Base: Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. |
| 1.3 | Knowledge and Skill Base: In-depth understanding of specialist bodies of knowledge within the engineering discipline. |
| 1.6 | Knowledge and Skill Base: Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline. |
| 2.2 | Engineering Application Ability: Fluent application of engineering techniques, tools and resources. |
| 2.3 | Engineering Application Ability: Application of systematic engineering synthesis and design processes. |
| 3.6 | Professional and Personal Attributes: Effective team membership and team leadership. |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
ELC205
Not applicable
Not applicable
Not applicable
Not applicable
Standard Grading (GRD)
| High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Early feedback will be provided through completion of weekly activities in workshops. Furthermore, feedback on each assessment will be provided which will be used to help with the following assessment.
| 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 | Group | 30% | 2000 words equivalent |
Refer to Format | Online Submission |
| All | 2 | Artefact - Technical and Scientific, and Written Piece | Individual | 20% | 1500 words equivalent |
Week 12 | Online Submission |
| All | 3 | Examination - Centrally Scheduled | Individual | 50% | 2 hours |
Exam Period | Online Assignment Submission with plagiarism check |
| All - Assessment Task 1:Report-based Workshop Portfolio | |||||||
| Goal: | To develop your ability to design, build and create computer programs and embedded systems for problem solving and document your conclusions in a portfolio of engineering reports. |
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| Product: | Portfolio | ||||||
| Authorship Statement: | |||||||
| Format: | You’ll work as a group to produce a portfolio of computer programs, embedded systems and related information in the form of a document of 2000 words equivalent including figures, text, and diagrams. Submit the portfolios in Weeks 5, 8 and 11. |
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| Criteria: |
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| Generic Skills: | Collaboration, Problem solving, Applying technologies |
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| All - Assessment Task 2:Technical engineering artefact | |||||||||||||
| Goal: | To develop your understanding of core theory and enable you to demonstrate your knowledge and skills in developing computer programs and embedded systems of significant complexity. |
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| Product: | Artefact - Technical and Scientific, and Written Piece | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | For this task you will produce a consolidated written artefact adhering to a specified structure that is approximately 1500 words equivalent in length including figures, text, and diagrams. |
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| Criteria: |
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| Generic Skills: | Problem solving, Applying technologies |
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| All - Assessment Task 3:Final Examination | |||||||||||||
| Goal: | The final exam will develop your ability to independently apply your skills and knowledge to solve familiar problem based questions with confidence within a set time limit and without access to additional resources. |
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| Product: | Examination - Centrally Scheduled | ||||||||||||
| Authorship Statement: | |||||||||||||
| Format: | Centrally scheduled 2-hour closed book examination. |
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| Criteria: |
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| Generic Skills: | Problem solving, Applying technologies |
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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.
Not applicable
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.
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.