Course Title: Industrial Network Technologies
Part A: Course Overview
Course Title: Industrial Network 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: https://policies.rmit.edu.au/document/view.php?id=209.
Please read the Student website for additional requirements of in-person attendance: https://www.rmit.edu.au/covid/coming-to-campus
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.
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COSC2954 |
City Campus |
Undergraduate |
520T Future Technologies |
Face-to-Face |
Sem 1 2022 |
Course Coordinator: Amita Iyer
Course Coordinator Phone: +61399258311
Course Coordinator Email: amita.iyer@rmit.edu.au
Course Coordinator Location: RMIT City Campus
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
Course Description
This unit aims to develop skills and knowledge required to analyse network technologies to install and configure a basic industrial network for manufacturing, energy distribution, smart buildings and engineering applications.
It includes the ability to differentiate physical and cloud computing concepts, describe key features of Network devices, protocols required to install and configure a basic network for engineering and manufacturing applications. troubleshooting techniques, Internet of Things (IoT), Industrial Internet of Things (IIoT). After the successful completion of this unit, the learner is expected to administer and support basic Industrial Network.
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.
1.5. Knowledge of contextual factors impacting the practice area.
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.
3.2. Effective oral and written communication in professional and lay domains.
3.3 Creative, innovative and pro-active demeanour.
On completion of this course you should be able to:
1. Describe the basic operation of the protocols operating at different layers of the OSI and TCP/IP models.
2. Identify network devices and transmission media required to set up a network for industrial manufacturing, energy distribution and smart buildings.
3. Configure appropriate IP addresses to setup a LAN / WLAN / WAN.
4. Describe and differentiate physical and cloud network infrastructure.
5. Describe wireless and mobile communication technologies.
6. Configure and troubleshoot a small industrial network.
7. Design an IIoT solution as per operational needs of business/enterprise.
Overview of Learning Activities
The learning activities included in this course are:
• attendance at lectures 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.
• 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 at RMIT libraries will be available as well.
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).
Assessments
Assessment 1: Quizzes
Weighting towards final grade (%):20
this task assesses the following course learning outcomes:
PLO 1.2,1.5, 3.2
CLO 1,2,3,4,5,6
Assessment 2: Practical
Weighting towards final grade (%):40
this task assesses the following course learning outcomes:
PLO 2.1, 2.2. 3.2
CLO 2,3,6
Assessment 3: Assignment
Weighting towards final grade (%):40
this task assesses the following course learning outcomes:
PLO 2.1, 2.2, 3.2, 3.3
CLO 2,3,6,7