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Unit of Study MANI2001 - Smart Sensing and Control Systems (2025)

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Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

employ a systems approach that accounts for existing and emerging practical knowledge of sensor technology and control systems behaviour along with other relevant contextual factors to define and analyse a well-defined problem related to smart sensing and control systems

apply practical engineering methods and tools, such as Hook’s law to model a transducer and Wheatstone bridge to instrument it to a physical sensor, to design smart sensing and control solutions to a well-defined engineering problem in industry

design and implement solutions and effectively communicate the outcomes of a well-defined project focused on smart sensing and control systems

self-assess use of management skills, social skills and professional judgement in contributing to the successful completion of a well-defined project related to smart sensing and control systems.

build and develop smart sensing and process control solutions for an engineering problem using micro controllers

explain the fundamental working principles of smart sensors and their operational principles to create sensory and control solutions using resistive, capacitive, and/or inductive sensors.

Prescribed learning resources

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Prescribed Learning Resources may change in future Teaching Periods.