Unit Outline

In this unit, students will explore automation of industrial processes using Industry 4.0 technologies. This will involve automation methods utilising technology such as PLCs, SCADA, Robotics and Machine Vision. Learning exercises will be utilised involving both simulation and practical implementation. After completing this unit students will have experience and skills in industry-relevant robotics and automation.

Intended Learning Outcomes

As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.

On completion of this unit, you will be able to:


1	Apply foundation skills in robotics and automation to solve tutorial and laboratory exercises.
2	Develop solutions to advanced robotics and automation problems.
3	Develop a robotics and automation system to achieve automation outcomes.
4	Demonstrate effective documentation and communication of advanced learning in robotics and automation through written reports and presentations.

Requisites


REQUISITE TYPE	REQUISITES
Pre-requisite	ENG718

Alterations as a result of student feedback

Unit ILOs and assessments have been revised to better reflect the unit offering.

How will I be Assessed?

For more detailed assessment information please see MyLO.

Assessment schedule


ASSESSMENT TASK #	ASSESSMENT TASK NAME	DATE DUE	WEIGHT	LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:	PLC and SCADA	Week 5	40 %	LO1, LO2, LO4
Assessment Task 2:	Robotics and Machine Vision	Week 9	40 %	LO1, LO2, LO4
Assessment Task 3:	Project Presentation	Week 12	20 %	LO3, LO4

Assessment details

Assessment Task 1: PLC and SCADA

Task Description:

Report showing evidence of learning of foundation and advanced skills in developing PLCs and SCADA solutions comprising evidence from tutorial solutions, laboratory exercises and advanced problems.

GenAI use permitted (with acknowledgement) in an assistive role for researching the topic and supporting the writing process in terms of structure and type of content to include. Please refer to the Artificial Intelligence (AI) information in the student portal for further information about using genAI.

Task Length:

Max 10 pages plus appendix

Due Date:

Week 5

Weight:

40 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Solutions show competency in foundation PLC skills.	LO1
2	Solutions show competency in foundation SCADA skills.	LO1
3	Solutions show competency in advanced PLC and SCADA problems.	LO2
4	Evidence of learning through technical documentation.	LO4

Assessment Task 2: Robotics and Machine Vision

Task Description:

Individual report showing evidence of learning of foundation and advanced skills in developing Robotics and Machine Vision solutions comprising evidence from tutorial solutions, laboratory exercises and advanced problems.

GenAI use permitted (with acknowledgement) in an assistive role for researching the topic and supporting the writing process in terms of structure and type of content to include. Please refer to the Artificial Intelligence (AI) information in the student portal for further information about using genAI.

Task Length:

Max 10 pages plus appendix

Due Date:

Week 9

Weight:

40 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Solutions show competency in foundation Robotics skills.	LO1
2	Solutions show competency in foundation Machine Vision skills.	LO1
3	Solutions show competency in advanced Robotics and Machine Vision problems.	LO2
4	Evidence of learning through technical documentation.	LO4

Assessment Task 3: Project Presentation

Task Description:

Project presentation and demonstration to the class including submission of PowerPoint slides detailing project aims, design, development, implementation and outcomes.

GenAI use permitted (with acknowledgement) in an assistive role for researching the topic and supporting the writing process in terms of structure and type of content to include. Please refer to the Artificial Intelligence (AI) information in the student portal for further information about using genAI.

Task Length:

20 minutes

Due Date:

Week 12

Weight:

20 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Project has been designed and developed to reinforce learning combined with some aspect of novelty.	LO3
2	Complexity and success of the technical implementation.	LO3
3	Significance and relevance of project outcomes.	LO3
4	Communication of technical material and audience engagement through content, delivery and demonstration.	LO4

How your final result is determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

You must achieve an average of 45% on criteria identified as relevant to ILO1 in assessment tasks "PLC and SCADA" and "Robotics and Machine Vision" to demonstrate attainment of ILO1.

You must achieve an average of 45% on criteria identified as relevant to ILO2 in assessment tasks "PLC and SCADA" and "Robotics and Machine Vision" to demonstrate attainment of ILO2.

You must achieve an average of 45% on criteria identified as relevant to ILO3 in assessment task "Project Demonstration" to demonstrate attainment of ILO3.

You must achieve an average of 45% on criteria identified as relevant to ILO4 in assessment tasks "PLC and SCADA", "Robotics and Machine Vision" and "Project Demonstration" to demonstrate attainment of ILO4.

Academic progress review

The results for this unit may be included in a review of your academic progress. For information about progress reviews and what they mean for all students, see Academic Progress Review in the Student Portal.

Submission of assignments

Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.

Academic integrity

Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see Important Guidelines & Support.

Requests for extensions

If you are unable to submit an assessment task by the due date, you should apply for an extension.

A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.

The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.

Late penalties

Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.