Overview

The aim of this unit is to understand the type, interpretation, use, and communication of aviation data. Students will examine how the aviation industry utilises data to inform commercial, safety and operational decisions. Students will be introduced to typical tools that are used in the aviation industry to solve novice level problems

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • Interpret the diverse forms of data which may be encountered in the aviation environment
  • Discriminate between various software tools and methodologies and select those most applicable for working with specific forms of aviation data
  • Employ appropriate mathematical approaches, software tools or other methodologies to manipulate and analyse data in order to generate understanding and solve essential aviation industry problems
  • Work confidently with data across diverse technological platforms
  • Interface between common technologies used within the aviation industry
  • Communicate the output of an analytical process in a manner which effectively informs aviation stakeholders

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Lecture		 2.00  12 weeks  24
On-campus
Workshop		 1.00  12 weeks  12
Unspecified Activities
Independent Learning		 9.50  12 weeks  114
TOTAL     150

Assessment

Type Task Weighting ULO's
AssignmentIndividual 30 - 40% 1,2,3,4 
AssignmentGroup 30 - 40% 1,2,3,4,5,6 
Online QuizzesIndividual 20 - 30% 1,2,6 

Content

  • Aviation Statistics - Basic descriptive data summary and visualisation
  • Introduction to inferential statistics
  • Introduction to aviation data analytics and visualisation using Power BI
  • Applications in aviation operations, safety, and commercial activities
  • Different sources of aviation data and information – airlines, airports, GDS and IATA
  • Database platforms – OAG, BITRE, US FAA, other sources - Extracting and storing data from online sources - Sorting, querying, manipulating, transforming and aggregating data
  • Data Analysis using Excel, SPSS
  • Tables, PivotTables

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.