| Effective Term: | 2027/05 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Sensors and Artificial Perception |
| Unit ID: | ENGIN3403 |
| Credit Points: | 15.00 |
| Prerequisite(s): | (ENGIN2402) |
| Co-requisite(s): | Nil |
| Exclusion(s): | (ENMTX3060) |
| ASCED: | 030101 |
| Other Change: | |
| Brief description of the Unit |
This unit introduces students to the advanced concepts of sensors in artificial perception. The students will learn about the principles behind operation and functionality of different types of sensors and will be provided with knowledge to classify them in accordance to their performance and characteristics. Students will gain knowledge of the data acquisition and conditioning from a sensor system and acquire necessary skills to analyse, comprehend and apply the results to a mechatronic system. In addition to the theoretical knowledge, students will gain practical skills through different projects, assignments and laboratory works, which they would be able to correlate to industrial applications. The unit will enable students to develop strong skills in sensor systems and associated programming techniques, which they would be able to apply in designing and developing physical mechatronic systems and processes. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:Yes |
| Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | | | | | Advanced | | | | | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Demonstrate understanding of sensor principles. |
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| K2. | Explain the operation, characteristics and performance of different types of sensors. |
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| K3. | Reflect on the understanding of light, image and vision system. |
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| K4. | Demonstrate understanding of data conditioning alongside interpreting, analysing and evaluating data extracted from the sensors. |
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| K5. | Identify and explain sensor fusion techniques. |
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| K6. | Demonstrate understanding of various sensors in autonomous systems for perceiving the environment. |
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| K7. | Explain the working principles and operation of sensor system. |
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| Skills: |
| S1. | Integrate, test and critically analyse data obtained from different sensors / sensor array. |
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| S2. | Perform sensor data conditioning with appropriate software. |
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| S3. | Perform required programming associated with sensor data acquisition and processing. |
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| S4. | Analyse sensitivity and accuracy of different sensors. |
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| Application of knowledge and skills: |
| A1. | Design and develop a sensor system towards automation of a mechatronic industrial process. |
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| A2. | Develop model robot with sensors and associated electronics and software. |
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| A3. | Design an effective unmanned vehicle / autonomous mobile robot navigation system. |
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| A4. | Interface sensor systems and artificial intelligence methodology in an industrial mechatronic process to achieve desired control and automation. |
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| Other outcomes: |
| Unit Content: |
•Sensor principle, overview of linear and rotational sensors along with flow, temperature, distance, force, torque and acceleration sensors.
•Overview of light, image and vision systems.
•Study of various sensors for autonomous systems including gyroscope, infrared, sonar, odor, tactile, proximity, Hall Effect and vision based sensors.
•Sensor data acquisition, conditioning and various techniques for integrating and processing the data from different sensors / sensor array.
•Sensor fusion techniques and design and development of a model robot with integrated sensors and associated electronics and software.
•Sensor sensitivity and accuracy.
•RF and optical position / location system.
•Triangulation, ranging, phase shifting measurement and frequency modulation |
| Graduate Attributes: |
| Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FEDTASKS (Transferable Attributes Skills and Knowledge) provide a targeted focus on five key transferable Attributes, Skills, and Knowledge that are be embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and Co-operative Learning opportunities. One or more FEDTASK, transferable Attributes, Skills or Knowledge must be evident in the specified learning outcomes and assessment for each FedUni Unit, and all must be directly assessed in each Course.
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| FED TASK and descriptor | Development and acquisition of FEDTASKS in the Unit | Learning outcomes
(KSA) | Assessment task
(AT#) | FEDTASK 1
Interpersonal | Students at this level will demonstrate an advanced ability in a range of contexts to effectively communicate, interact and work with others both individually and in groups. Students will be required to display high level skills in-person and/or online in: • Using and demonstrating a high level of verbal and non-verbal communication • Demonstrating a mastery of listening for meaning and influencing via active listening • Demonstrating and showing empathy for others • High order skills in negotiating and conflict resolution skills\\ • Demonstrating mastery of working respectfully in cross-cultural and diverse teams. | Not applicable | Not applicable | FEDTASK 2
Leadership | Students at this level will demonstrate a mastery in professional skills and behaviours in leading others. • Creating and sustaining a collegial environment • Demonstrating a high level of self -awareness and the ability to self-reflect and justify decisions • Inspiring and initiating opportunities to lead others • Making informed professional decisions • Demonstrating initiative in new professional situations. | Not applicable | Not applicable | FEDTASK 3
Critical Thinking and Creativity | Students at this level will demonstrate high level skills in working in complexity and ambiguity using the imagination to create new ideas. Students will be required to display skills in: • Reflecting critically to generate and consider complex ideas and concepts at an abstract level • Analysing complex and abstract ideas, concepts and information • Communicate alternative perspectives to justify complex ideas • Demonstrate a mastery of challenging conventional thinking to clarify complex concepts • Forming creative solutions in problem solving to new situations for further learning. | Not applicable | Not applicable | FEDTASK 4
Digital Literacy | Students at this level will demonstrate the ability to work competently across a wide range of tools, platforms and applications to achieve a range of tasks. Students will be required to display skills in: • Mastering, exploring, evaluating, managing, curating, organising and sharing digital information professionally • Collating, managing complex data, accessing and using digital data securely • Receiving and responding professionally to messages in a range of professional digital media • Contributing competently and professionally to digital teams and working groups • Participating at a high level in digital learning opportunities. | Not applicable | Not applicable | FEDTASK 5
sustainable and Ethical Mindset | Students at this level will demonstrate a mastery of considering and assessing the consequences and impact of ideas and actions in enacting professional ethical and sustainable decisions. Students will be required to display skills in: • Demonstrate informed judgment making that considers the impact of devising complex solutions in ambiguous global economic environmental and societal contexts • Professionally committing to the promulgation of social responsibility • Demonstrate the ability to evaluate ethical, socially responsible and/or sustainable challenges and generating and articulating responses • Communicating lifelong, life-wide and life-deep learning to be open to the diverse professional others • Generating, leading and implementing required actions to foster sustainability in their professional and personal life | Not applicable | Not applicable |
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| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | Professional Standards |
| 1. |
S1-S4, A1-A4 |
Experimental work and / or projects to verify students ability to apply knowledge and skills acquired in the unit. |
Reports, demonstrations |
10 - 30% |
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| 2. |
K1-K7, S1-S4 |
Relevant tasks and problems to enforce understanding of the students and help in gradual development of knowledge and skills throughout the unit. |
Assignments, quizzes |
10 - 30% |
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| 3. |
K1-K7 |
Questions and problems related to the unit contents. |
Exams / Tests |
40 - 60% |
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