ENG1813
Next-Gen uncrewed vehicle
基本信息
| 学分 | 6 credit points |
|---|---|
| 开课学期 | Summer semester A |
| 校区 | Malaysia |
| 考核构成 | Lab activities — 15% Assignment: Ethical and societal impacts — 10% Drone prototyping project — 25% Tests — 35% Fundamental quiz — 15% |
开课安排1 条
| 教学期 | 授课方式 | 状态 |
|---|---|---|
| Summer semester A | Teaching activities are on-campus (ON-CAMPUS) | 开课 |
以上为该校区在官方资料中登记的全部开课安排，不是汇总。同一门课可能在多个 教学期开课，也可能不同教学期的授课方式不同。
课程简介
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.
以上为 Monash Handbook 的官方原文，版权属 Monash University，此处按本站要求转载并标注出处： 官方页面 ↗
学习成果4 条
官方原文（Learning outcomes），版权属 Monash University。
- ULO1 Use modern IoT tools, including AI-assisted analytics, to collect, analyse, and interpret real-time data for solving engineering problems.
- ULO2 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.
- ULO3 Evaluate the environmental and societal implications of drone technology and propose AI-driven sustainable engineering solutions.
- ULO4 Critically reflect on ethical considerations and professional norms when addressing safety, privacy, and societal challenges in drone operations.
教学方式与预期工作量
教学方式
Active learning - This unit engages students in actively applying their knowledge, skills and attributes in interactive, collaborative and reflective activities.
Experiential learning: The unit incorporates experiential learning where students participate in hands-on activities and fieldwork.
Project-based learning: This unit will enable students to work on real-world projects, requiring them to use their knowledge and skills to solve complex problems.
预期工作量
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.
官方原文，版权属 Monash University。
先修 / 同修要求
官方资料未列出该课程的先修要求。
先修链路
官方资料未列出该课程的先修要求，因此没有链路可画。
属于这些学位1 个
这门课出现在下列学位的官方结构里。反过来说：如果你读的是这些学位之一，它大概率是要修的 （必修还是选修取决于它在 Part 里的位置，点进去看结构）。
数据来源
- 数据来源
- 官方网页
handbook.monash.edu ↗ - 抓取时间
- 2026-09-13
- 可信度
- 程序抓取，未人工核实
查看官方完整描述 ↗ — 事实性字段（代码、学分、教学期、授课方式、考核权重、先修/同修/互斥关系）与 课程简介、学习成果、教学方式、预期工作量均取自官方 Handbook； 正文版权属 Monash University，此处转载并逐处标注出处。
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