Course Coordinator:Sirin Roomkham (sroomkham@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.
In this course you will start developing your micro-computing skills, which are critical for engineers to be able to logically analyze problems and implement solutions that are future focused. Computing and technology are rapidly changing and the technical professionals of the future will be expected to adapt to, and implement new technologies. Using a project-based format, you will develop your computing skills in the context of the rapidly developing Internet of Things (IoT) using micro-computers and controllers (eg. Raspberry Pi and Arduino).
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – Asynchronous online learning materials. | 1hr | Week 1 | 13 times |
Tutorial/Workshop 1 – On-campus workshop | 2hrs | Week 1 | 13 times |
Seminar – On campus seminar (weeks to be determined) | 1hr | Week 1 | 2 times |
Internet of Things, binary numbers, microprocessors, introduction to Raspberry Pi, GPIO
Python programming, variables, arithmetic, writing Python code on Pi
Electrical & electronics, current, voltage, resistance, sensors, actuators
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 * Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1 | Confidently navigate and manipulate computing architecture |
Knowledgeable Creative and critical thinker |
2.2
|
2 | Implement and connect digital and analogue sensors and programmatically interpret their signals |
Creative and critical thinker Engaged |
1.2
|
3 | Create automated solutions by finding and modifying simple microcontroller programs |
Knowledgeable Empowered |
2.1
|
4 | Read and interpret code and bash scripts in a range of applications |
Knowledgeable Creative and critical thinker |
1.2
|
5 | Navigate a command-line driven operating system to control a computer and configure a range of applications |
Knowledgeable Engaged |
1.3
|
6 | Undertake a peer review and assess other's contributions to projects | Engaged |
3.2
|
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. |
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. |
3.2 | 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
Not applicable
Year 12 level Maths
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 | Artefact - Technical and Scientific | Individual or Group | 30% | Each week you will be required to complete the workshop and demonstrate you have successfully addressed each step of the exercise. |
Throughout teaching period (refer to Format) | Online Submission |
All | 2 | Quiz/zes | Individual | 20% | One hour |
Week 9 | Online Submission |
All | 3 | Artefact - Technical and Scientific, and Written Piece | Group | 50% | Implement a major project using both the micro-computer and micro-controller with at least three sensors. |
Week 12 | Online Submission |
All - Assessment Task 1:Micro-computer/controller Artefacts | |
Goal: | The goal of this task is to incorporate a range of binary (e.g. on or off), digital and analogue sensors using the basic architecture, operating system and memory processes of the micro-computer and controller. |
Product: | Artefact - Technical and Scientific |
Format: | A working version of the product demonstrated in the workshop that is coded to record and output a range of sensors. Weeks 1 - 10 |
Criteria: |
|
All - Assessment Task 2:Online Quiz | |
Goal: | Engineering is often about solving problems using the latest technology.This task is designed for you to demonstrate your understanding of micro-computing elements in the context of the Internet of Things and how these can be utilised for engineering solutions. |
Product: | Quiz/zes |
Format: | An online quiz with a mix of multiple choice and short answer formats. |
Criteria: |
|
All - Assessment Task 3:Major Project | |
Goal: | Establish a team to navigate a command-line driven operating system to control a computer and configure a range of applications |
Product: | Artefact - Technical and Scientific, and Written Piece |
Format: | Implement a major project using both the micro-computer and controller with at least three sensors and provide individual reports outlining your contribution into the completed project and complete a peer assessment of the contribution from other members of your group. Guidance will be provided on teamwork skills, how to manage group processes, and giving and receiving constructive feedback. |
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 |
Required | 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.
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