Course Title: Engineering Mathematics

Part A: Course Overview

Course Title: Engineering Mathematics

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


171H School of Science


Sem 1 2020,
Sem 2 2020,
Sem 2 2021,
Sem 1 2022,
Sem 2 2022,
Sem 1 2023


City Campus


171H School of Science


Sem 1 2021


RMIT University Vietnam


171H School of Science


Viet1 2020,
Viet2 2020,
Viet1 2021,
Viet1 2022,
Viet2 2022,
Viet3 2022,
Viet1 2023

Course Coordinator: Kerri Morgan

Course Coordinator Phone: +61 3 9925

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities


  • 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

This course contributes to the Program Learning Outcomes (PLOs) for:

Program Learning Outcome 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. 

Program Learning Outcome 2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.    

Program Learning Outcome 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. 

On completion of this course you should be able to: 

  1. Apply, in real time, the core mathematical skills such as arithmetic, algebraic manipulation, elementary geometry and trigonometry to a range of problems;
  2. Utilise, in real time, techniques of integral and differential calculus to formulate and solve problems involving change and approximation;
  3. 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;
  4. 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;
  5. In real time, formulate and solve differential equations;
  6. Recognise the properties of complex numbers and, in real time, apply complex numbers to the solution of algebraic equations. 

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 

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