ENME484-20S1 (C) Semester One 2020

Special Topic: Industry 4.0: Advanced Manufacturing

15 points

Details:
Start Date: Monday, 17 February 2020
End Date: Sunday, 21 June 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 28 February 2020
  • Without academic penalty (including no fee refund): Friday, 29 May 2020

Description

Understanding the drivers and enablers of Industry 4.0. Recognizing the opportunities and challenges, such as future of manufacturing, impacts of Industry 4.0. Understanding key technologies including AI and IIoT in Industry 4.0. Applying techniques in designing real applications in Industry 4.0.

The special topic provides an introduction to Industry 4.0 including two major components: Industrial Artificial Intelligence (IAI) and Industrial Internet of Things (IIoT). Both components will be introduced with applications in industries. In addition, the course also familiarizes students with the methodology and with industrial platforms for IAI and IIoT. Students will work on group projects that require competency on IAI and IIoT to gain hands-on experience. Particularly, students will identify an industrial problem, implement IAI and IIoT to design a solution based on industrial platforms, and conduct a performance analysis in lab environment.

Learning Outcomes

1. Identify the drivers and enablers of Industry 4.0
2. Describe advanced manufacturing technologies in Industry 4.0
3. Compare the various techniques used in Industry 4.0
4. Design applications of Industrial Artificial Intelligence (IAI) and Industrial Internet of Things (IIoT) in
Industry 4.0
5. Analyse the opportunities, challenges brought about by Industry 4.0

Prerequisites

Course Coordinator

Yilei Zhang

Assessment

Assessment Due Date Percentage 
Term 1 Work 10%
Online Test 29 Apr 2020 30%
Project 08 May 2020 30%
Essay 12 Jun 2020 30%


• Mid-term test (worth 30% of overall marks): to be held in the first week of the second term, 40 minutes. This will be a summative assessment covering the first six weeks of lecture contents (IAI). The test will be closed-book and related to learning outcomes 1, 2 and 3.
• Assignment 1 – Project (worth 40% of overall marks): Students will work in groups of three. Each group will identify an industrial problem, implement IAI and IIoT to design a solution based on industrial platforms, conduct a performance analysis in lab or industrial environment, and present their results in class. Project progress will be evaluated first on Week 6 (worth 15% of overall marks) via oral discussion with the lecturer. Final presentation (worth 25% of overall marks) will be given on Week 11 and 12. Each group will give a 20-minutes presentation followed by 5 minutes Q&A. This assignment is related to learning outcome 4.
• Assignment 2 – Essay (worth 30% of overall marks): Students will work in groups of three. Each group will prepare an essay to enhance their understanding of Industry 4.0. An example could be the literature review of DNN in Industry 4.0. Essay progress will be evaluated first on Week 6 (worth 10% of overall marks) via oral discussion with the lecturer. Students will submit their essay by the end of week 12 (worth 20% of overall marks). This assignment is related to learning outcome 5.

Additional Course Outline Information

Academic integrity

Harassment
* Harassment of any sort will not be tolerated.  Each UC student is here to learn and to experience a friendly and supportive community.
* It is every student's right to expect: respect and courtesy from staff and other students, including freedom from harassment of any sort; fair treatment; the ability to speak out about any issues that concern them, without fear of consequences for their safety and well-being.
* Furthermore, each student has the responsibility to: respect the rights and property of others; attend to their own health and safety, and that of others; and behave in a manner towards each other that does not reflect badly on the student body or the University.
* If you, or someone you know, has experienced harassment, please talk to your lecturers, directors of study, or head of department.


Dishonest Practice
* Plagiarism, collusion, copying, and ghost writing are unacceptable and dishonest practices.
* Plagiarism is the presentation of any material (test, data, figures or drawings, on any medium including computer files) from any other source without clear and adequate acknowledgment of the source.
* Collusion is the presentation of work performed in conjunction with another person or persons, but submitted as if it has been completed only by the named author(s).
* Copying is the use of material (in any medium, including computer files) produced by another person(s) with or without their knowledge and approval.
* Ghost writing is the use of another person(s) (with or without payment) to prepare all or part of an item submitted for assessment.

Do not engage in dishonest practices. The Department reserves the right to refer dishonest practices to the University Proctor and where appropriate to not mark the work.
The University regulations on academic integrity and dishonest practice can be found here.

Indicative Fees

Domestic fee $1,102.00

International fee $5,500.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mechanical Engineering .

All ENME484 Occurrences

  • ENME484-20S1 (C) Semester One 2020