Course Coordinator:Kenneth Ang (lang@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 usc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
This course introduces you to digital and embedded systems and enhances your investigative, design and problem-solving skills. Both hardware and software components are considered in finding solutions to problems. You will learn about advanced digital logic design, real-time programming concepts using C and POSIX, logic devices, and the architecture of microcontrollers and their applications in embedded systems. You will gain practical experience of interfacing embedded microcontrollers with physical sensors and develop skills in designing embedded systems to meet various design requirements.
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:
400 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 | Demonstrate knowledge of digital logic design, combinational circuits and synchronous sequential logic, as well as principles and operations of different programmable logic devices and the operation of CPU and memory handling methods. | Knowledgeable |
1, 1.3.a, 1.3 |
2 | Interpret the operations of microcontrollers and their application in embedded systems, as well as different number systems, Boolean algebra and C, assembly language and event driven programming. | Knowledgeable |
1, 1.3.a, 1.3 |
3 | Analyse and verify the operation of digital and embedded systems using debugging tools and debug errors in coding an embedded system. | Creative and critical thinker |
2, 2.1.b, 2.1 |
4 | Identify, formulate and design solutions to a problem using microcontrollers and programmable logic devices. | Empowered |
2, 2.2.a, 2.3.a, 2.2, 2.3 |
5 | Design and analyse software program to control different microprocessor peripherals. | Empowered |
2, 2.2.d, 2.2 |
6 | Design and implement practical programmable solutions using digital and embedded systems to meet design specifications. | Engaged |
2, 2.3.a, 2.3 |
CODE | COMPETENCY |
Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1 | Elements of competency: Knowledge and Skill Base |
1.3.a | Knowledge and Skill Base - In-depth understanding of specialist bodies of knowledge within the engineering discipline: Proficiently applies advanced technical knowledge and skills in at least one specialist practice domain of the engineering discipline. |
1.3 | Knowledge and Skill Base: In-depth understanding of specialist bodies of knowledge within the engineering discipline. |
2 | Elements of competency: Engineering Application Ability |
2.1.b | Engineering Application Ability - Application of established engineering methods to complex engineering problem solving: 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. |
2.2.a | Engineering Application Ability - Fluent application of engineering techniques, tools and resources: Proficiently identifies, selects and applies the materials, components, devices, systems, processes, resources, plant and equipment relevant to the engineering discipline. |
2.3.a | Engineering Application Ability - Application of systematic engineering synthesis and design processes: Proficiently applies technical knowledge and open ended problem solving skills as well as appropriate tools and resources to design components, elements, systems, plant, facilities and/or processes to satisfy user requirements. |
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. |
2.3 | Engineering Application Ability: Application of systematic engineering synthesis and design processes. |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Enrolled in GC004, GD004, MC004, GC005, GD005, MC005, GC006, GD006, MC006, SC404 or SC405
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 | Practical / Laboratory Skills, and Written Piece | Individual | 30% | 1500 words |
Week 5 | Online Assignment Submission with plagiarism check |
All | 2 | Artefact - Technical and Scientific, and Written Piece | Individual | 30% | 1500 words |
Week 9 | Online Assignment Submission with plagiarism check |
All | 3 | Examination - Centrally Scheduled | Individual | 40% | 2 hours |
Exam Period | Online Assignment Submission with plagiarism check |
All - Assessment Task 1:Project | |
Goal: | Apply knowledge and skills acquired in the course |
Product: | Practical / Laboratory Skills, and Written Piece |
Format: | Experimental work and / or projects to verify students ability to apply knowledge and skills acquired in the course |
Criteria: |
|
All - Assessment Task 2:System review | |
Goal: | Review of a topical digital and embedded system challenge relevant to advanced industrial processes |
Product: | Artefact - Technical and Scientific, and Written Piece |
Format: | n/a |
Criteria: |
|
All - Assessment Task 3:Final exam | |
Goal: | Questions and problems related to the course contents |
Product: | Examination - Centrally Scheduled |
Format: | Questions and problems related to the course contents |
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.
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.
Eligibility for Supplementary Assessment 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 will be penalised at the following maximum rate (the rates are cumulative): - 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 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 and supply the required documentation to negotiate an outcome. Refer to the Assessment: Courses and Coursework Programs – Procedures
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