Course Title: Mathematics for ECE

Part A: Course Overview

Course Title: Mathematics for ECE

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:

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


145H Mathematical & Geospatial Sciences


Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


171H School of Science


Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022


RMIT University Vietnam


171H School of Science


Viet3 2017,
Viet2 2018,
Viet1 2020,
Viet2 2020,
Viet1 2021,
Viet3 2021,
Viet1 2022

Course Coordinator: Lewi Stone

Course Coordinator Phone: +61 3 9925 1728

Course Coordinator Email:

Course Coordinator Location: 15-4-21

Course Coordinator Availability: By appointment, by email

Pre-requisite Courses and Assumed Knowledge and Capabilities

You are expected to have capabilities consistent with the successful completion of MATH2160 or its equivalent

Course Description

MATH2161 Mathematics for ECE is a core component of the Electrical and Computer Engineering Bachelor degrees. It provides an opportunity to develop the requisite range of skills relevant to a wide range of sub-disciplines existing within the field of Electrical and Computer Engineering.

In this course you will be introduced to a range of mathematical concepts identified as fundamental to enhance your progress in studying related Engineering courses. These mathematical topics build upon the material covered in the prerequisite course MATH2160 Engineering Mathematics A. You will develop the mathematical maturity required to become a well-grounded engineer.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcome

Knowledge and Skill Base:

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

BH069 Bachelor of Engineering (Sustainable Systems Eng) (Honours)/Bachelor of Industrial Design (Honours)

BH071 Bachelor of Engineering (Electronic and Communication Engineering) (Honours)

BH075 Bachelor of Engineering (Electrical Engineering) (Honours);

BH073 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours);

BH072 Bachelor of Engineering (Computer and Network Engineering) (Honours):

BH081 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours);

BH091 Bachelor of Engineering (Computer and Network Engineering) (Honours)/Bachelor of Computer Science

BH109 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours)/ Bachelor of Business (Entrepreneurship)

BH110 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours)/ Bachelor of Business (International Business)

BH111 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours)/ Bachelor of Business (Management)

Course Learning Outcomes (CLOs) 

On completion of this course you should be able to: 

  1. Apply and solidify your knowledge of vector calculus in the context of engineering. 
  2. Employ Z-Transforms and Fourier transforms  to solve first and second order difference equations and differential equations which arise in electrical engineering applications. 
  3. Describe and apply common probabilistic and statistical methods used in the electrical and computer engineering (ECE)
  4. Identify appropriate root finding schemes to find the poles or zeros of commonly occuring algebraic equations in electric networks. 

Overview of Learning Activities

Key concepts and their application will be explained and illustrated (with many examples) in lectures and in online notes. The course will build your capacity to solve problems, to encourage you to think critically and analytically and provide feedback on your academic progress. Supplementary exercises found on Canvas in the form of problems and self-help tutorial questions will provide a focus for your private study.

Overview of Learning Resources

A prescribed textbook will be nominated. Students will also be able to access the following online learning resources : 

Weekly Lecture Notes

Full solutions to Practice Classes

These learning resources can be accessed from MATH2161 Canvas via myRMIT.

A library guide is available at 

Overview of Assessment

Assessment tasks

Assessment Task 1: In class timed tests (vectors)

Weighting 30%

This assessment task supports CLO 1

Assessment Task 2: Take Home Assignment

Weighting 30%

This assessment task supports CLO 2

Assessment Task 3: Final timed in class assessment

Weighting 40%

This assessment task supports CLO 1, 2, 3 and 4