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

Course Coordinator: Dr Simon Johnstone-Robertson

Course Coordinator Phone: 99252283

Course Coordinator Email:

Course Coordinator Location: 8.9.26

Course Coordinator Availability: By appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

Essential Mathematics for Analytics 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

This course will utilise lectures to cover the material complemented with computer lab session where you will have an opportunity to utilise your recently acquired knowledge using state-of-the-art computational mathematics software. You will receive immediate feedback on your learning through online tests. Project will let you focus on the use of software to solve complex mathematical problems. 

Overview of Learning Resources

You will be able to access course information and learning materials through myRMIT.  It will give you access to important announcements, a discussion forum, staff contact details, the teaching schedule, online notes, assessment timelines, tests and exercises.The online tests will be fairly short and will serve the purpose of encouraging you to stay up to date with the course The test in the first few weeks will also help identify problems at an early stage of the course while there is still time to resolve them. The group project will be handed out early to encourage collaboration and make it easier to overcome any problems in becoming familiar with the computational tools we will be using.

Computational software is available in the labs but is also available for personal use free of charge.

Library Subject Guide for Mathematics & Statistics

Overview of Assessment

☒This course has no hurdle requirements.

Assessment Tasks:

Assessment Task 1: Online Tests
Weighting 20%
This assessment task supports CLOs 1, 2

Assessment Task 2: Lab Test
Weighting 30%
This assessment task supports CLOs 1, 2, 3

Assessment Task 3: Final Exam
Weighting 50%
This assessment task supports CLOs 1, 2, 3