Course Title: Industry 4.0 Technologies

Part A: Course Overview

Course Title: Industry 4.0 Technologies

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities.

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption.

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT:

Please read the Student website for additional requirements of in-person attendance:

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance.


Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


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


City Campus


172H School of Engineering


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

Course Coordinator: Dr Ben Cheng

Course Coordinator Phone: +61 3 9925 6009

Course Coordinator Email:

Course Coordinator Location: 251.3.17

Course Coordinator Availability: By appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


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.