Course Title: Industrial Automation and Control

Part A: Course Overview

Course Title: Industrial Automation and Control

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


520T Future Technologies


Sem 1 2022

Course Coordinator: Amita Iyer

Course Coordinator Phone: +61399258311

Course Coordinator Email:

Course Coordinator Location: RMIT City Campus

Pre-requisite Courses and Assumed Knowledge and Capabilities

Launch and use applications on a Windows PC.

Course Description

This course introduces the student to automation and control technologies in Industry4.0/IIoT environments. Topics include smart sensors and actuators. Programmable controllers and visualisation. Application of software engineering principles. Functional and object-oriented programming.  Single and multi-axis motion control.  Safety controller applications to IEC61508 SIL3. Field bus and real-time ethernet systems. IoT gateway, cloud-based server solutions and industrial communication standards OPC/OPC UA, http/https and MQTT.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following program learning outcomes:

1.2. Procedural-level understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the practice area.

1.3. In depth practical knowledge and skills within specialist sub-disciplines of the practice area.

1.5. Knowledge of contextual factors impacting the practice area.
1.6. Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the area of practice.
2.1. Application of established technical and practical methods to the solution of well-defined engineering problems.
2.2. Application of technical and practical techniques, tools and resources to well defined engineering problems.
3.1. Ethical conduct and professional accountability

3.2. Effective oral and written communication in professional and lay domains.

3.3. Creative, innovative and pro-active demeanour.

3.6. Effective team membership and team leadership.

On completion of this course you should be able to:

  1. Develop PLC programs
  2. Integrate a single axis motion controller into the solution
  3. Integrate a safety controller into the solution
  4. Build visualisation screens for machine operation and diagnostics.
  5. Setup a simple control system network

Overview of Learning Activities

The learning activities included in this course are:
• attendance at tutorials where syllabus material will be presented and explained, and the subject will be illustrated with demonstrations and examples;
• completion of tutorial questions, laboratory exercises and control system projects designed to give further practice in the application of theory and procedures, and to give feedback on student progress and understanding;
• completion of written and practical assignments consisting of control programming problems and process control techniques which requiring an integrated understanding of the subject matter; and
• private study, working through the course as presented in classes and learning materials, and gaining practice at solving conceptual and numerical problems.

Overview of Learning Resources

You will be able to access course information and learning materials through the course CANVAS. Your
course CANVAS will give you access to important course-related information such as announcements, staff contact details, online lecture notes and exercises, tutorials, assignment, and other learning resources. Access to CANVAS will be instructed in detail during the course introduction session. Lists of relevant reference books and digitalized materials at RMIT libraries will be available as well. You will also use laboratory equipment and computer software within the School for the project work.
You are advised to check your student e-mail account daily for important announcements.

Overview of Assessment

☒ This course has no hurdle requirements.
☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).


Assessment 1: Assignment
Weighting towards final grade (%): 20
this task assesses the following course learning outcomes:
PLO 1.2, 1.3, 2.1, 3.2
CLO 1, 2

Assessment 2: Lab Reports
Weighting towards final grade (%): 40
this task assesses the following course learning outcomes:
PLO 1.2, 1.3, 1.5, 2.1, 2.2, 2.4, 3.2
CLO 1, 2, 3, 4

Assessment 3: Project/Presentation
Weighting towards final grade (%): 40
this task assesses the following course learning outcomes:
PLO 1.2, 1.3, 1.6, 2.1, 2.2, 2.4, 3.2, 3.6
CLO 1, 2, 3, 4, 5