Course Title: Mathematics

Part A: Course Overview

Course Title: Mathematics

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


110P SEH Portfolio Office


Sem 1 2017,
Sem 2 2017,
Sem 1 2018,
Sem 2 2018


City Campus


110P SEH Portfolio Office

Face-to-Face or Internet

Sem 1 2019


City Campus


130T Vocational Engineering


Sem 2 2012,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 1 2016,
Sem 2 2016

Course Coordinator: Varinder Sohi

Course Coordinator Phone: +61 3 9925 0053

Course Coordinator Email:

Course Coordinator Location: Point Cook & City Campus

Course Coordinator Availability: By Email

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

This course provides a broad introduction to mathematical techniques and data analysis using known data included in documentation such as Pilot Operating Handbooks and Aircraft Operational Manuals.

Objectives/Learning Outcomes/Capability Development

 This course contributes to the following program learning outcomes (PLOs):

  • Ability to apply a depth of knowledge in a range of industry practice fundamentals in context that are subject to change, and adapt knowledge and skills in a range of contexts.
  • Problem identification, formulation and solution to unpredictable and sometimes complex problems.
  • Show initiative and judgement in planning, problem solving and decision making in aviation practical with communication and analytical skills to interpret and transmit responses to sometimes complex problems.
  • Function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be an effective team member as well as to take on roles of responsibility.
  • Taking responsibility and accountability for own learning and work in collaboration with others within broad parameters. 

Course Learning Outcomes (CLOs)

On completion of this course you will be able to: 

  1. Interpret data presented in various formats often found in aviation operational documentation
  2. Derive performance information from data presented in various formats
  3. Calculate performance given a range of variables

Overview of Learning Activities

The learning activities included in this course are: 

  • Attendance at lectures where syllabus material will be presented and explained, and the subject will be illustrated with demonstrations and examples; 
  • Completion of tutorial questions designed to give further practice in the application of theory and procedures, and to give feedback on your progress and understanding; 
  • Completion of written assignments consisting of numerical and other problems requiring an integrated understanding of the subject matter; and private study, working through the course as presented in classes and learning materials, and gaining practice at solving conceptual and numerical problems.

Overview of Learning Resources

You will be able to access course information and learning materials through Canvas and may be provided with copies of additional materials in class. Lists of relevant reference texts, resources in the library will be provided. You will also use computer laboratory equipment and computer software within the School during project and assignment work.

Overview of Assessment

This course has no hurdle requirements.


Assessment Task 1: Online Test
Weighting towards final grade: 40%
This task assesses the following learning outcomes:
CLOs 1-3

Assessment Task 2- Individual Assignment 
Weighting towards final grade (%): 25%
This task assesses the following learning outcomes:
CLOs 2-3

Assessment 3 - Final Exam 

Weighting towards final grade (%): 35%
This task assesses the following learning outcomes:
CLO 1-3