Overview

This unit of study aims to provide students with the mathematical knowledge and skills to support their concurrent and subsequent studies, providing a thorough grounding in mathematics with an emphasis of modelling and statistics. Students will be equipped to model real world applications and critique the appropriateness of the models. Students will learn to apply differentiation and integration techniques to practical problems and the solution of differential equations modelling real world phenomena. Students will gain programming experience using statistical software to quantify relationships in data, test hypotheses, and critique the validity of tested hypotheses.

Requisites

Prerequisites

MTH00007 Preliminary Mathematics

OR
MTH00005 Applied Engineering Mathematics
OR
A study score of at least 25 in VCE Maths Methods Units 3, 4 or equivalent

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025
Semester 1
Location
Hawthorn
Start and end dates
02-March-2026
31-May-2026
Last self-enrolment date
15-March-2026
Census date
31-March-2026
Last withdraw without fail date
21-April-2026
Results released date
07-July-2026
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Classify continuous functions and characterise long-term behaviour of functions by calculating the limit
  2. Construct algebraic and geometric forms of functions to enable modelling of real-world phenomena using polynomials, rational and exponential functions
  3. Identify standard derivatives and integrals for simple functions and apply appropriate techniques to differentiate and integrate more complicated functions
  4. Solve optimisation problems for real world applications, calculate linear approximations of functions, compute areas and tangent curves using the rules of differentiation and integration
  5. Solve simple linear first order and second order differential equations and classify stationary points and apply these techniques to applications in science and engineering
  6. Analyse data using statistical software to quantify relationships between datasets using statistical techniques such as correlation, linear regression, and t-tests to perform hypothesis tests and critique the suitability of tested hypotheses

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Lecture
4.00  9 weeks  36
On-campus
Class
1.00  12 weeks  12
On-campus
Class
4.00  3 weeks  12
Specified Activities
Various
2.00  12 weeks  24
Unspecified Activities
Independent Learning
5.50  12 weeks  66
TOTAL     150

Assessment

Type Task Weighting ULO's
Examination Individual  40 - 60%  1,2,3,4,5,6
Online Assignment Individual  5 - 25%  1,2,3,4,6
Project Report Individual  5 - 25%  4,5 
Test Individual  5 - 25%  1,2,3 

Hurdle

As the minimum requirements of assessment to pass a unit and meet all Unit Learning Outcomes to a minimum standard, a student must achieve:

(i) an aggregate mark of 50% or more, and(ii) at least 40% in the final exam.Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 45% as the total mark for the unit.

Content

  • Sets, Limits and Functions
  • Modelling and Error
  • Descriptive Statistics
  • Inferential Statistics
  • Differentiation
  • Integration
  • Ordinary Differential Equations

Study resources

Reading materials

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