ENG1813 · Next-Gen uncrewed vehicle

Overview

This unit introduces you to the transformative potential of drone technology, IoT integration and artificial intelligence (AI) in addressing modern engineering challenges. It equips you with the foundational knowledge and practical skills to design, operate, and analyse drones while adhering to essential safety and regulatory frameworks. Through real-world applications, you will use cutting-edge tools like the industrial IoT platform to collect and analyse data, enabling innovation in areas such as environmental monitoring, surveying, and infrastructure assessment. As part of this unit, you will work in small teams to design and prototype an IoT-enabled drone system that addresses engineering challenges. This hands-on group work will allow you to collaborate effectively, combining theoretical knowledge with practical application. Your prototype will integrate drone operations with IoT technologies and AI-driven analytics, focusing on real-time telemetry, data analytics, and emergency response planning. You will also gain experience navigating regulatory environments and developing contingency plans to ensure operational safety. By mastering these skills, you will be well-prepared to contribute effectively in industries that depend on connectivity, automation, data analytics and prediction.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Continuous assessment: 100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Use modern IoT tools, including AI-assisted analytics, to collect, analyse, and interpret real-time data for solving engineering problems.
2. Apply engineering fundamentals to design and operate drone systems safely and efficiently, while addressing safety protocols, CAAM airspace regulations, and privacy considerations to meet technical and regulatory requirements.
3. Evaluate the environmental and societal implications of drone technology and propose AI-driven sustainable engineering solutions.
4. Critically reflect on ethical considerations and professional norms when addressing safety, privacy, and societal challenges in drone operations.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 5 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, labs, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Student experience, not official rules. Nothing here changes what the Handbook says.