Course Title: Industrial Automation
Part A: Course Overview
Course Title: Industrial Automation
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
EEET2105 |
City Campus |
Undergraduate |
125H Electrical & Computer Engineering |
Face-to-Face |
Sem 1 2006, Sem 2 2006, Sem 1 2007, Sem 1 2008, Sem 1 2009, Sem 1 2010, Sem 1 2011, Sem 1 2012, Sem 1 2013, Sem 1 2014, Sem 1 2015, Sem 1 2016 |
EEET2105 |
City Campus |
Undergraduate |
172H School of Engineering |
Face-to-Face |
Sem 1 2017, Sem 1 2018, Sem 1 2019, Sem 1 2020, Sem 1 2021, Sem 1 2022, Sem 1 2023, Sem 1 2024 |
EEET2204 |
SHAPE, VTC |
Undergraduate |
125H Electrical & Computer Engineering |
Face-to-Face |
Offsh1 14, Offsh1 15, Offsh3 16 |
EEET2388 |
City Campus |
Postgraduate |
125H Electrical & Computer Engineering |
Face-to-Face |
Sem 1 2012, Sem 1 2013, Sem 1 2014, Sem 1 2015, Sem 1 2016 |
EEET2388 |
City Campus |
Postgraduate |
172H School of Engineering |
Face-to-Face |
Sem 1 2017, Sem 1 2018, Sem 1 2019, Sem 1 2020, Sem 1 2021, Sem 1 2022, Sem 1 2023, Sem 1 2024 |
Flexible Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
EEET2204 |
SHAPE, VTC |
Undergraduate |
172H School of Engineering |
Face-to-Face |
OFFSe12018 (VE18) |
EEET2204 |
SHAPE, VTC |
Undergraduate |
172H School of Engineering |
Face-to-Face |
OFFJan2019 (VE20) |
EEET2204 |
SHAPE, VTC |
Undergraduate |
172H School of Engineering |
Face-to-Face |
OFFJan2020 (VE22) |
EEET2204 |
SHAPE, VTC |
Undergraduate |
172H School of Engineering |
Face-to-Face |
OFFMay2020 (XXXX) |
EEET2204 |
SHAPE, VTC |
Undergraduate |
172H School of Engineering |
Face-to-Face |
OFFMay2021 (All) |
EEET2204 |
SHAPE, VTC |
Undergraduate |
172H School of Engineering |
Face-to-Face |
OFFMay2022 (VE24) |
Course Coordinator: Dr Carlos Teixeira
Course Coordinator Phone: +61 3 9925 2728
Course Coordinator Email: carlos.teixeira@rmit.edu.au
Course Coordinator Location: 10.08.13
Course Coordinator Availability: by appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
It is assumed that at the time of commencing this course you have a basic knowledge of electronics and digital systems. It is also assumed that you have basic mathematical skills and a general knowledge of common non-electrical physical quantities, such as temperature, pressure, flow rate, force and torque.
Course Description
This course introduces you to practical methods of automatic control of machines, processes and systems. All major parts of a modern industrial control system will be described and their principles explained. These include the Programmable Logic Controller (PLC), as the system ‘brain’, various field devices, which allow the system to ‘sense’ and ‘affect’ the controlled environment, and communication between the system components. The principles of developing PLC programs and practical examples of control systems will be also presented. The course provides individual hands-on experience in PLC programming.
Please note that if you take this course for a bachelor honours program, your overall mark for the course will be one of the course marks used to calculate the weighted average mark (WAM) that will determine your award level. This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information webpage for more information.
Objectives/Learning Outcomes/Capability Development
At undergraduate level this course develops the following Program Learning Outcomes for students who commenced their program prior to 2023:
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
2.1 Application of established engineering methods to complex engineering problem solving.
2.2 Fluent application of engineering techniques, tools and resources
At undergraduate level this course develops 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.
- PLO4: Apply systematic problem solving, design methods and information and project management to propose and implement creative and sustainable solutions with intellectual independence and cultural sensitivity.
At postgraduate level this course develops the following Program Learning Outcomes:
• High levels of technical competence in the field
• Be able to apply problem solving approaches to work challenges and make decisions using sound engineering methodologies
On the completion of the course you should be able to:
- Develop a PLC program for an automatic control system of a medium degree of complexity.
- Select the right hardware for a given application.
- Connect the field devices to the PLC to create a complete control system.
- Consider such aspects of the automation system as network communication, human machine interface, safety and protection against interference.
- Program typical industrial PLC hardware.
Overview of Learning Activities
The learning activities in this course include study of theoretical principles, problem solving, design, software development and laboratory work. These activities take the form of student participation in tutorials, supervised laboratory classes, unsupervised laboratory work and individual study.
Overview of Learning Resources
Learning material will be available on-line. You will be able to use the laboratory equipment and computer software provided by the School for the purpose of completing your laboratory assignments and developing your practical programming skills.
Overview of Assessment
This course has no hurdle requirements.
Assessment Task 1: Laboratory Work
Weighting 50%
This assessment task supports CLOs 1, 2, 4, and 5
Assessment Task 2: Timed Mid-semester Test (Available over a time window of 24 hours)
Weighting 25%
This assessment task supports CLOs 1, 2, 3, and 5
Assessment Task 3: Timed End-semester Test (Available over a time window of 24 hours)
Weighting 25%
This assessment task supports CLOs 1, 2, 3, and 5