Introduction to Industry 4.0
Duration
- One Semester or equivalent
Contact hours
- 36 Hours
2021 teaching periods
Hawthorn
| Higher Ed. Semester 1 | ||
|---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Prerequisites
UG Engineering:
200 credit points
PG Engineering:
Admission into the Master of Engineering Science nested suite or Master of Professional Engineering
First offering Semester 1 2020
Aims and objectives
This unit of study aims to cover the skills and knowledge required to holistically optimise information flows using Industry 4.0 tools. The student will learn to research and use various technologies which include modelling software, PLM, augmented reality/virtual reality software.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
2. Manage and optimise information flows from ideation to disposal using PLM. (S1, A3 A6)
3. Create digital twin using predictive analysis. (K4, S1)
4. Create augmented/Virtual reality-based tool to perform an Engineering task. (K2, K4, S1)
5. Create mobile app to monitor and control an Engineering system. (K4, S2, A3)
6. Develop and manage strategies to implement, collaborate, plan, and roadmap an engineering system using Industry 4.0 business models. (K6, S2, A2, A6, A7)
Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
*Scheduled face to face: Lectures (12 hours), Tutorials (24 hours), Laboratory Work (N/A)
*Scheduled synchronous online learning events (N/A)
Non-scheduled online learning events and activities (N/A)
Other non-scheduled learning events and activities including independent study (approx.114 hours)
*Scheduled synchronous online learning events (N/A)
Non-scheduled online learning events and activities (N/A)
Other non-scheduled learning events and activities including independent study (approx.114 hours)
Assessment
| Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
| Case study | Individual | 20% | 1,2,3 |
| Presentation | Group | 10% | 1,2,3,4,5,6 |
| Project | Group | 70% | 1,2,3,4,5,6 |
Minimum requirements to pass this Unit
As the minimum requirements of assessment to pass a unit and meet all Unit Learning Outcomes to a minimum standard, a student must achieve:
(i) an overall mark for the unit of 50% or more, and
(ii) attempt all assessments.
Students who do not successfully achieve hurdle requirements (i) and (ii) will receive a maximum of 44% as the total mark for the unit and will not be eligible for a conceded pass.
As the minimum requirements of assessment to pass a unit and meet all Unit Learning Outcomes to a minimum standard, a student must achieve:
(i) an overall mark for the unit of 50% or more, and
(ii) attempt all assessments.
Students who do not successfully achieve hurdle requirements (i) and (ii) will receive a maximum of 44% as the total mark for the unit and will not be eligible for a conceded pass.
General skills outcomes
You will be provided with feedback on your progress in attaining the following generic skills:
K2 Maths and IT as Tools: Proficiently uses relevant mathematics and computer and information science concepts as tools.
K4 Emerging Disciplinary Trends: Interprets and applies current or emerging knowledge from inside and outside the specific discipline.
K5 Practice Context: Discerns and appreciates the contextual factors affecting professional engineering practice.
K6 Professional Practice: Appreciates the principles of professional engineering practice in a sustainable context.
S1 Engineering Methods: Applies engineering methods in practical applications.
S2 Problem Solving: Systematically uses engineering methods in solving complex problems.
A2 Communication: Demonstrates effective communication to professional and wider audiences.
A3 Entrepreneurial: Appreciates entrepreneurial approaches to engineering practice.
A6 Management of Self: Demonstrates self-management processes.
A7 Teamwork: Demonstrates effective team membership and team leadership.
K2 Maths and IT as Tools: Proficiently uses relevant mathematics and computer and information science concepts as tools.
K4 Emerging Disciplinary Trends: Interprets and applies current or emerging knowledge from inside and outside the specific discipline.
K5 Practice Context: Discerns and appreciates the contextual factors affecting professional engineering practice.
K6 Professional Practice: Appreciates the principles of professional engineering practice in a sustainable context.
S1 Engineering Methods: Applies engineering methods in practical applications.
S2 Problem Solving: Systematically uses engineering methods in solving complex problems.
A2 Communication: Demonstrates effective communication to professional and wider audiences.
A3 Entrepreneurial: Appreciates entrepreneurial approaches to engineering practice.
A6 Management of Self: Demonstrates self-management processes.
A7 Teamwork: Demonstrates effective team membership and team leadership.
Content
• Current state analysis
• PLM
• Predictive Analysis
• Augmented/Virtual Reality
• App Development
• Detailed Industry 4.0 Use Cases and evaluation
• Implementation planning and roadmap
• PLM
• Predictive Analysis
• Augmented/Virtual Reality
• App Development
• Detailed Industry 4.0 Use Cases and evaluation
• Implementation planning and roadmap
Study resources
- References.
References
A list of reading materials and/or required texts will be made available in the Unit Outline.