Course Title: Digital Fundamentals
Part A: Course Overview
Course Title: Digital Fundamentals
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
OENG1206 |
City Campus |
Undergraduate |
172H School of Engineering |
Face-to-Face |
Sem 1 2020, Sem 1 2021, Sem 1 2022, Sem 1 2023, Sem 1 2024 |
OENG1207 |
RMIT University Vietnam |
Undergraduate |
172H School of Engineering |
Face-to-Face |
Viet2 2020, Viet2 2022, Viet3 2022, Viet1 2023, Viet3 2023, Viet1 2024, Viet2 2024, Viet3 2024 |
OENG1265 |
RMIT Vietnam Hanoi Campus |
Undergraduate |
172H School of Engineering |
Face-to-Face |
Viet2 2024 |
Flexible Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
OENG1278 |
Birla Inst of Tech&Sci, Pilani |
Undergraduate |
172H School of Engineering |
Face-to-Face |
OFFSe12024 (All) |
Course Coordinator: Katrina Neville
Course Coordinator Phone: +61 3 9925 2530
Course Coordinator Email: katrina.neville@rmit.edu.au
Course Coordinator Location: 10.07.08
Course Coordinator Availability: by appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
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
This course contributes to the following Program Learning Outcomes (PLOs) for BH126 Bachelor of Engineering (Honours) and Bachelor of Engineering plans ending in P23 and specialising in: Advanced Manufacturing & Mechatronic; Biomedical; Mechanical; Electronic and Computer Systems; Electrical; Sustainable Systems; Civil & Infrastructure; Aerospace; Chemical; and Environmental Engineering and associated double degrees:
PLO 1: 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.
PLO 2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.
PLO 4: 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.
This course contributes to the following Program Learning Outcomes (PLOs) for all other Bachelor of Engineering plans specialising in: Advanced Manufacturing & Mechatronic; Biomedical; Mechanical; Electronic and Computer Systems; Electrical; Sustainable Systems; Civil & Infrastructure; Aerospace; Chemical; and Environmental Engineering and associated double degrees:
1 Knowledge and Skill Base
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 Engineering Application Ability
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 Professional and Personal Attributes
3.2 Effective oral and written communication in professional and lay domains.
For more information on the program learning outcomes for your program, please see the program guide.
Course Learning Outcomes (CLOSs)
On completion of this course you should be able to:
CLO1 Apply a consistent problem-solving methodology to common engineering problems
CLO2 Solve engineering problems using the software tools MATLAB and Simulink
CLO3 Design, prototype and test simple algorithms for software solutions to engineering problems
CLO4 Design, prototype, and test the logic and circuitry required to implement simple digital hardware systems
CLO5 Communicate design solutions to engineering problems to a range of audiences using a variety of formats
CLO6 Collaborate and contribute as an effective team member or leader in group projects
Overview of Learning Activities
Your learning occurs through the following experiences and evaluation processes:
- 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;
- 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, 4, 5 & 6
Assessment Task 3: Individual Project
Weighting: 40%
This assessment task supports CLO 3, 4 & 5
Assessment Task 4: Group Projects
Weighting: 30%
This assessment task supports CLOs 1, 2 , 3, 4, 5, & 6
BITS Assessment Schedule:
Assessment Task 1: Tests
Weighting: 30%
This assessment supports CLOs 1, 2 & 3
Assessment Task 2: Practicals
Weighting: 20%
This assessment task supports CLOs 1, 2, 3, 4, 5 & 6
Assessment Task 3: Individual Project
Weighting: 20%
This assessment task supports CLO 3, 4, & 5
Assessment Task 4: Group Projects
Weighting: 30%
This assessment task supports CLOs 1, 2, 3, 4, 5 & 6