Course Title: Digital Fundamentals

Part A: Course Overview

Course Title: Digital Fundamentals

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


172H School of Engineering


Sem 1 2020,
Sem 1 2021,
Sem 1 2022


RMIT University Vietnam


172H School of Engineering


Viet2 2020,
Viet2 2022

Course Coordinator: Katrina Neville

Course Coordinator Phone: +61 3 9925 2530

Course Coordinator Email:

Course Coordinator Location: 10.07.08

Course Coordinator Availability: by appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

This course is focused on digital literacies for engineers and will equip you with the ability to apply a problem-solving methodology to common engineering problems.

Using a problem-based approach, students will develop the skills to design, write, test and debug programs that improve the world we live in. You will be presented with various types of engineering problems which you will then work through from problem identification and algorithm design through to the implementation phase.

As part of this course you will also be introduced to the syntax and development environment of the engineering software tool MATLAB/Simulink.

This course establishes a foundation for engineering programs that require advanced programming and problem-solving skills such as Electrical & Electronic, Computer & Network, Mechatronic and Automotive Engineering.

Objectives/Learning Outcomes/Capability Development

On completion of this course you should be able to:

  1. Apply a consistent methodology for solving a variety of engineering problems;
  2. Develop simple mathematical algorithms and the logic flow necessary to design software solutions to engineering problems;
  3. Effectively use MATLAB/Simulink as a tool to solve engineering problems.

This course contributes to the following Program Learning Outcomes:

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.

1.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.

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.

2.3 Application of systematic engineering synthesis and design processes.

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

Overview of Learning Activities

Your learning occurs through the following experiences and evaluation processes:

  1. Lectorials will allow you to work individually and in groups in a problem-based learning environment where you will develop your skills in problem solving and implementing solutions using MATLAB/Simulink;
  2. Practicals will allow you to put your skills into practice.

Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through our online systems.

Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided.

Access to the MATLAB/Simulink software package will be provided through RMIT computer labs, myDesktop and the MathWorks campus-wide student license.

Overview of Assessment

This course has no hurdle requirements.

Assessment Task 1: Tests
Weighting: 10%
This assessment supports CLOs 1, 2 & 3

Assessment Task 2: Practicals
Weighting: 20%
This assessment task supports CLOs 1, 2 & 3

Assessment Task 3: Individual Project
Weighting: 40%
This assessment task supports CLOs 3

Assessment Task 4: Group Projects
Weighting: 30%
This assessment task supports CLOs 1, 2 & 3