Course Title: Industry 4.0 Technologies

Part A: Course Overview

Course Title: Industry 4.0 Technologies

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MANU2071

City Campus

Postgraduate

115H Aerospace, Mechanical & Manufacturing Engineering

Face-to-Face

 Sem 1 2006,
Sem 1 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016

MANU2071

City Campus

Postgraduate

172H School of Engineering

Face-to-Face

 Sem 2 2017,
Sem 2 2019,
Sem 1 2021,
Sem 1 2022,
Sem 1 2023,
Sem 1 2024

Course Coordinator: Dr Ben Cheng

Course Coordinator Phone: +61 3 9925 6009

Course Coordinator Email: ben.cheng@rmit.edu.au

Course Coordinator Location: 251.3.17

Course Coordinator Availability: By appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

You will learn the fundamental issues, concepts, and design criteria in industry 4.0 (I4.0). The course will walk you through the I4.0 digital value chain using a bottom-up approach, starting from physical sensors to end-user dashboards on Cloud. Sensing hardware, communication stacks, middleware, and toolkits utilised in I4.0 systems will be covered. Specifically, you will understand how the whole digitalisation process can make a manufacturing line or a factory smart. You will learn the challenges in deploying practical I4.0 systems, including noise interference and networking issues. Additionally, you will get hands-on experience by integrating sensing technologies, communication systems, and data visualisation tools to build your I4.0 applications in this course.


Objectives/Learning Outcomes/Capability Development

This course contributes to the development of the following Program Learning Outcomes for students who commenced their program prior to 2023:


1. Knowledge and Skill Base

1.1. Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.3. In-depth understanding of specialist bodies of knowledge within the engineering discipline.

2. Engineering Application Ability

2.2. Fluent application of engineering techniques, tools and resources.

This course contributes to the following Program Learning Outcomes for students who commenced their program in 2023:

  • PLO1: Demonstrate an in-depth understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering. 
  • PLO2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.    


Course Learning Outcomes (CLOs)

Upon successful completion of this course you should be able to:

  1. Understand the digital value chain and development strategy in I4.0.
  2. Apply data aggregation, processing, and visualisation techniques in I4.0 to manufacturing systems.
  3. Analyse and fine-tune I4.0 systems systematically.


Overview of Learning Activities

Learning activities throughout the course include online lectorials (lecture-tutorial) and practical sessions. Key concepts and principles will be explained and illustrated in the lectorial sessions. You will practice with computer software packages and hardware in the practical sessions.


Overview of Learning Resources

Course information and learning materials are available on Canvas and you may be provided with additional materials in class. Lists of relevant reference books and digitised materials at RMIT libraries will be available as well. You will also use software packages for the project work. During the course, you will be directed to many websites to enhance your knowledge and understanding of difficult concepts.


Overview of Assessment

This course has no hurdle requirements.

 

Assessment item #1: Workshop assignments  
Weighting of final grade:  30%
Related course learning outcomes: CLOs 1,2,3.

Assessment item #2: Online take-home mid-term assessment
Weighting of final grade: 35%       
Related course learning outcomes: CLOs 1,2.

Assessment item #3: End-of-semester project
Weighting of final grade:  35%
Related course learning outcomes: CLOs 1,2,3.