Essential Aviation Analytical Skills
Duration
- One Semester or equivalent
Contact hours
- 36 hours Face to Face + Blended
On-campus unit delivery combines face-to-face and digital learning.
Prerequisites
Nil
Replaces
MTH10008 Aviation Mathematics
MTH10008 Aviation Mathematics
Aims and objectives
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.
Unit Learning Outcomes
On successful completion of this unit students will be able to:
1. Interpret the diverse forms of data which may be encountered in the aviation environment
2. Discriminate between various software tools and methodologies and select those most applicable for working with specific forms of aviation data
3. 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
4. Work confidently with data across diverse technological platforms
5. Interface between common technologies used within the aviation industry
6. Communicate the output of an analytical process in a manner which effectively informs aviation stakeholders
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
| All Applicable Locations | |||||
|---|---|---|---|---|---|
| Activity Type | Activity | Total Hours | Number of Weeks | Hours Per Week | Optional - Activity Details |
| Online | Directed Online Learning and Independent Learning | 24 | 12 weeks | 2 | |
| Face to Face Contact | Workshop | 12 | 12 weeks | 1 | |
| Unspecified Learning Activities | Individual Study | 114 | 12 weeks | 9.5 | |
| Total Hours: | 150 | Total Hours (per week): | 12.5 | ||
Assessment
Types | Individual/Group Role | Weighting | Unit Learning Outcomes (ULOs) |
Assignment 1 | Individual | 30-40% | 1,2,3,4 |
| Assignment 2 | Group | 30-40% | 1,2,3,4,5,6 |
| Online Quizzes | Individual | 20-30% | 1,2,6 |
Hurdle
(i) An aggregate mark of 50% or more, and
(ii) At least 40% in the final exam, and
(iii) A Pass grade for the Skills Exam.
The criteria for passing the Skills Exam is available in the Unit Outline. Students who do not successfully achieve hurdle requirements (ii) and (iii) will receive a maximum of 45% as the total mark for the unit.
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.
Reading materials
A list of reading materials and/or required texts will be made available in the Unit Outline.