Course Title: Mathematics

Part A: Course Overview

Course Title: Mathematics

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2222

City Campus

Undergraduate

130T Vocational Engineering

Face-to-Face

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

Course Coordinator: Michael Heffey

Course Coordinator Phone: +61 3 9394 9999

Course Coordinator Email: michael.heffey@rmit.edu.au

Course Coordinator Location: Point Cook Campus


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


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 Blackboard 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 tasks

Early Assessment Task 1:  Blackboard Test 1 & 2

Weighting towards final grade 5% x 2 (%) : 10 (Total)

this task assesses the following learning outcomes:

CLOs 1 & 2

Assessment Task 2: In-class Test

Weighting towards final grade (%) :  15

this task assesses the following learning outcomes:

CLOs 1, 2 & 3

 

Assessment Task 3: Individual Assignment

Weighting towards final grade (%) : 35

this task assesses the following learning outcomes:

CLO 1,2 & 3

Assessment 4: Final Exam

Weighting towards final grade (%) : 40 

this task assesses the following learning outcomes:

CLOs 1, 2 & 3