Course Title: Essential Mathematics

Part A: Course Overview

Course Title: Essential Mathematics

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 1 2016,
Sem 2 2016


City Campus


171H School of Science


Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021,
Sem 1 2022,
Sem 2 2022

Course Coordinator: Dr Simon Johnstone-Robertson

Course Coordinator Phone: +61 3 9925 0464

Course Coordinator Email:

Course Coordinator Location: 15.4.9

Course Coordinator Availability: By appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

Essential Mathematics provides you with the mathematical foundations and computational skills needed for you to expand and enhance your learning experience within your field of study. The course covers topics including calculus and linear algebra essential for some of the other courses in your program. A gentle introduction to the use of computational software will increase your ability to solve more complex problems and also prepare you for subsequent study in the program.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for MC004 Master of Statistics and Operations Research and MC242 Master of Analytics:

Knowledge and technical competence

  • an understanding of appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.


  • the ability to bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
  • an understanding of the relations hip between the purpose of a model and the level of complexity and accuracy required.

On completion of this course you should be able to:

  1. Utilise mathematical foundations for analytical tasks
  2. Employ calculus and linear algebra as required
  3. Solve complex mathematical problems using computational software

Overview of Learning Activities

Course content will be delivered via a series of pre-recorded, topical lecture videos. Interactive lectorials will focus on problem solving by working through exercises in the notes to reinforce concepts. Regular timely feedback on your learning will be provided through fortnightly practical assessments and a number of online theory assessments. Software will be used where appropriate to solve complex mathematical problems.

Overview of Learning Resources

You will be able to access course information and learning materials through Canvas, including important announcements, a discussion forum, staff contact details, the teaching schedule, online notes, assessment tasks/timelines, and practice exercises. The practice exercises will be fairly short and will serve the purpose of encouraging you to stay up to date with the course. They are designed to identify content-related misunderstandings and weaknesses at an early stage of the course while there is still time to resolve them.  

Library Subject Guide for Mathematics & Statistics 

Overview of Assessment

Note: This course has no hurdle requirements. 


Assessment Tasks:

Assessment Task 1: Practical Assessments  

Weighting 35% 

This assessment task supports CLOs 1, 2, 3 


Assessment Task 2: Online Theory Assessments 

Weighting 40% 

This assessment task supports CLOs 1, 2, 3 


Assessment Task 3: Summative Authentic Assessment 

Weighting 25% 

This assessment task supports CLOs 1, 2, 3