Course Coordinator:David Alonso-Caneiro (dalonsocaneiro@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.
The utilisation of robotics and autonomous systems is playing a major role in improving society and industries. An example is the recent trend towards autonomous vehicles. This course will help you to learn about the principles, design, and implementation of robotics and autonomous systems including robotic programming, sensing, path planning and control, including concepts such as the design principles of mobile robots, AI control, ethical aspects of robotic autonomous systems, etc. This course will provide you hands-on experience to design, analyze and evaluate robotic autonomous systems.
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – Asynchronous learning materials | 1hr | Week 1 | 13 times |
Laboratory 1 – On campus | 2hrs | Week 1 | 4 times |
Tutorial/Workshop 1 – On campus | 2hrs | Week 2 | 10 times |
Seminar – On campus | 1hr | Week 1 | Once Only |
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 | Investigate the operation and design principle of robotics and autonomous systems based on the underlying theories and design considerations | Creative and critical thinker |
1.3, 2.3, 3.2, 3.6 |
2 | Solve design problems associated with the integration of robotic components, sensors, actuator devices and associated electronic devices into an autonomous robotic system | Empowered |
1.1, 1.2, 2.1, 3.2 |
3 | Demonstrate knowledge and apply theories in design, control and pathfinding algorithms in robotics and autonomous systems | Knowledgeable |
1.1, 1.2, 2.1, 3.2 |
4 | Communicate robotic autonomous systems using appropriate engineering terminology, symbols and diagrams | Engaged |
1.1, 2.3, 3.2 |
5 | Work collaboratively in teams to design robotic and autonomous system to meet specified requirements | Empowered |
1.1, 2.1, 3.2, 3.6 |
CODE | COMPETENCY |
Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1.1 | Knowledge and Skill Base: Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable 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. |
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. |
2.3 | Engineering Application Ability: Application of systematic engineering synthesis and design processes. |
3.2 | Professional and Personal Attributes: Effective oral and written communication in professional and lay domains. |
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”.
ELC304
Not applicable
Not applicable
Not applicable
Standard Grading (GRD)
High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
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% | Each task is to be documented in a report and submitted in a group (maximum page limit of 15 pages. Each student writes approximately 1000 words and groups of 4-5. |
Throughout teaching period (refer to Format) | In Class |
All | 2 | Artefact - Technical and Scientific, and Written Piece | Group | 30% | The project-based design / case study report is to be written with a maximum page limit of 10 pages. Each student writes approximately 1000 words. |
Week 11 | Online Assignment Submission with plagiarism check |
All | 3 | Examination - Centrally Scheduled | Individual | 40% | 2 hours |
Exam Period | Exam Venue |
All - Assessment Task 1:Report | |
Goal: | Through this task, the students develop understanding on the underlying theories and operational principles of robotics and autonomous systems. The students will carry out studies and implementations using hardware and robotic components to validate their theoretical understandings on the emerging topics in modern robotic and autonomous systems |
Product: | Portfolio |
Format: | Reports describing and critically analyzing the simulation tasks. Each task is required to be documented as written reports and submitted in a group. Submit in weeks 4, 7, 10 |
Criteria: |
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All - Assessment Task 2:Project-Based Case Study | |
Goal: | This task will develop critical thinking and analyzing ability of the students to formulate, design and evaluate performance of robotic system with collaboration utilizing the appropriate industry hardware and components. |
Product: | Artefact - Technical and Scientific, and Written Piece |
Format: | A professional engineering report, which documents analytical solutions and/or software simulations. |
Criteria: |
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All - Assessment Task 3:Final Exam | |
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. |
Product: | Examination - Centrally Scheduled |
Format: | Centrally scheduled 2 hour closed book examination |
Criteria: |
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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.
Period and Topic | Activities |
n/a |
n/a |
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: a) The final mark is in the percentage range 47% to 49.4% b) The course is graded using the Standard Grading scale c) 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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