Course Title: Engineering Mathematics
Part A: Course Overview
Course Title: Engineering Mathematics
Credit Points: 12.00
Important Information:
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) |
MATH2393 |
City Campus |
Undergraduate |
171H School of Science |
Face-to-Face |
Sem 1 2020, Sem 2 2020, Sem 2 2021, Sem 1 2022 |
MATH2393 |
City Campus |
Undergraduate |
171H School of Science |
Internet |
Sem 1 2021 |
MATH2394 |
RMIT University Vietnam |
Undergraduate |
171H School of Science |
Face-to-Face |
Viet1 2020, Viet2 2020, Viet1 2021, Viet1 2022 |
Course Coordinator: Dr Ian Grundy
Course Coordinator Phone: +61 3 9925 3220
Course Coordinator Email: ian.grundy@rmit.edu.au
Course Coordinator Location: 15.4.19
Course Coordinator Availability: By appointment, by email
Pre-requisite Courses and Assumed Knowledge and Capabilities
Prerequisites:
- Introduction to Engineering Mathematics; or
- VCE Mathematical Methods; or
- VCE Specialist Mathematics; or
A combination of prior qualifications and experience equivalent to the prerequisites specified above.
Course Description
This course provides a broad introduction to the fundamental mathematical tools used by engineers. These include mathematical techniques such as single variable differentiation/integration and mathematical objects such as vectors, complex numbers and differential equations. The course builds on the foundations laid in secondary school mathematics and in turn helps to prepare students for more advanced mathematics in later study, and to give students the skills needed to understand the application of mathematics to engineering in real time. Topic areas include vectors, complex numbers, differentiation with applications, functions and their derivatives, methods of integration and their application, differential equations.
Objectives/Learning Outcomes/Capability Development
On completion of this course you should be able to:
- Apply, in real time, the core mathematical skills such as arithmetic, algebraic manipulation, elementary geometry and trigonometry to a range of problems;
- Utilise, in real time, techniques of integral and differential calculus to formulate and solve problems involving change and approximation;
- Recognise the properties of the common mathematical functions (polynomials, exponentials and hyperbolic functions, logarithms, inverse trigonometric and inverse hyperbolic functions) and their combinations commonly found in engineering applications;
- Demonstrate, in real time, the elementary properties of vectors, lines and planes and apply the techniques of vector analysis to problems involving three-dimensional geometry;
- In real time, formulate and solve differential equations;
- Recognise the properties of complex numbers and, in real time, apply complex numbers to the solution of algebraic equations.
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; and
3.2 Effective oral and written communication in professional and lay domains.
Overview of Learning Activities
Key concepts and their application will be explained and illustrated (with examples) in on-campus and/or online lectures and in online materials. Supervised problem-based assessed tutorials will build your capacity to solve problems, encourage you to think critically and analytically and provide feedback on your academic progress. Online quizzes and authentic practical assessment tasks will consolidate your real-time problem-solving skills and knowledge of the topics presented in class. Set problems and self-help tutorial questions will provide a focus for private study.
Overview of Learning Resources
You will be able to access course information and learning materials through RMIT’s Learning Management System (Canvas). The LMS will give access to important announcements, a discussion forum, staff contact details, the teaching schedule, online notes, self-help exercises and assessment tasks.
A Library Guide is available at http://rmit.libguides.com/mathstats
Overview of Assessment
This course has no hurdle requirements.
Assessment Task 1: Assessed Tutorials
Weighting 25%
This assessment supports CLOs 1, 2, 3, 4, 5, 6
Assessment Task 2: WebLearn (Online) Tests
Weighting 15%
This assessment supports CLOs 1, 2, 3, 4, 5, 6
Assessment Task 3: Practical Assessments (Tests)
Weighting 40%
This assessment task supports CLOs 1, 2, 3, 4, 5, 6
Assessment Task 4: Final Assignment
Weighting 20%
This assessment task supports CLOs 1, 2, 3, 4, 5, 6