TRC4200 · Engineering cyber-physical systems

Overview

The unit aims to impart knowledge, skills, and experience required to prepare graduates for the impending digital transformation driving the convergence of technologies that result in Cyber-Physical Systems (CPS). An introduction will be given to Cyber-Physical Systems (CPS). The evolution of key technologies, transformation to digital chains and the need to seamlessly combine organisational and technological issues into a single framework will be discussed. A real-life scenario will be used to motivate you to apply CPS technologies to design and develop Smart Systems in any domain of their specialisation and interest. Using the concept of Learning Factories (LF) - a platform to impart experience-based knowledge - the developed solution will be built and tested as a group project.

Areas of study: E3001 Bachelor of Engineering (Honours) - Specialisation: Robotics and mechatronics engineering (Automation stream) Minor: Smart manufacturing Minor: Internet of Things (IoT)

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

Learning outcomes

1. Apply engineering knowledge and skills (information technology, operations technology and Internet-of-things) to synthesise cyber-physical systems.
2. Design smart products and processes using an integrated approach to meet design requirements.
3. Apply tools to acquire, store, consolidate, analyse, manipulate and visualise data.
4. Construct a complete CPS including component selection, software development and test processes to produce an industry-ready process.
5. Address project status and requirements to engineers and society at large.
6. Engage effectively as a member or leader of a diverse team.
7. Manage projects and drive it to successful completion within technical, operational, budgetary, risk and time constraints.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, 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.