Course Coordinator:David Alonso-Caneiro (dalonsocaneiro@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 develop an advanced level of knowledge and understanding of robotics and the design and application of autonomous and semi-autonomous systems that play a major role in transforming society and industry, such as recent developments in autonomous vehicles. You will learn about the principles, design, and implementation of robotics and autonomous systems, including robotic programming, sensing, path planning, control, and the design principles of mobile robots. You will gain hands-on experience in designing, analysing, and evaluating robotic autonomous systems.
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:
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 * Competencies from multiple Professional Bodies (see below) * | |
1 | Apply advanced technical knowledge to interpret and discriminate the development of various optimization and machine learning algorithms / techniques. | Knowledgeable |
1, 1, 1.3.a, 1.3.a, 1.3, 1.3 |
2 | Demonstrate advanced knowledge of robotics and autonomous systems. | Knowledgeable |
1, 1, 1.3.a, 1.3.a, 1.3, 1.3 |
3 | Develop and analyse autonomous algorithms to demonstrate autonomous systems capabilities. | Creative and critical thinker |
2, 2, 2.1.a, 2.1.a, 2.1, 2.1 |
4 | Perform classification and pattern recognition using artificial intelligence and suitable methodologies to solve robotic control problems. | Creative and critical thinker |
2, 2, 2.1.a, 2.1.a, 2.1, 2.1 |
5 | Apply tools to design, develop and optimize intelligent models based on artificial intelligence methodologies. | Empowered |
2, 2, 2.2.d, 2.2.d, 2.2, 2.2 |
6 | Implement technical knowledge and skills to design and develop intelligent robotics products | Empowered |
2, 2, 2.3.a, 2.3.a, 2.3, 2.3 |
CODE | COMPETENCY |
Engineers Australia Stage 1 Engineering Technologist 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 technology domain: Proficiently applies advanced technical knowledge and skills to deliver engineering outcomes in specialist area(s) of the technology domain and associated industry, commercial and community sectors. |
1.3 | Knowledge and Skill Base: In-depth understanding of specialist bodies of knowledge within 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.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. |
2.3.a | Engineering Application Ability - Application of systematic synthesis and design processes within the technology domain: Proficiently applies technological knowledge and problem solving skills as well as established tools and procedures to design components, system elements, plant, facilities and/or processes to meet technical specifications and performance criteria. |
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. |
2.3 | Engineering Application Ability: Application of systematic synthesis and design processes within the technology domain. |
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.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.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. |
2.3.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. |
2.1 | 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”.
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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 | Written Piece | Individual | 40% | 2 x 1000 words |
Throughout teaching period (refer to Format) | Online Assignment Submission with plagiarism check |
All | 2 | Case Study | Individual | 30% | 1500 words |
Week 12 | Online Assignment Submission with plagiarism check |
All | 3 | Examination - Centrally Scheduled | Individual | 30% | 2 hours |
Exam Period | Online Assignment Submission with plagiarism check |
All - Assessment Task 1:Written Piece | |
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: | Written Piece |
Format: | Utilise a problem based approach to develop a novel autonomous approach to a defined problem. Two submissions (Week 4 and Week 8) |
Criteria: |
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All - Assessment Task 2:Project-Based Case Study | |
Goal: | Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the course |
Product: | Case Study |
Format: | Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the course |
Criteria: |
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All - Assessment Task 3: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. |
Product: | Examination - Centrally Scheduled |
Format: | Questions and problems related to the course contents |
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.
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.
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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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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.
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