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:

1. Develop a PLC program for an automatic control system of a medium degree of complexity.
2. Select the right hardware for a given application.
3. Connect the field devices to the PLC to create a complete control system.
4. Consider such aspects of the automation system as network communication, human machine interface, safety and protection against interference.
5. 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