Overview

This unit of study aims to provide students with mathematical knowledge and skills needed to support their concurrent and subsequent engineering and science studies.

Requisites

Prerequisites
MTH00005 Applied Engineering Mathematics

OR

MTH00007 Preliminary Mathematics

OR

Admission into a Bachelor of Engineering (Honours), Bachelor of Aviation or Bachelor of Science, and all related Professional or double degrees

Assumed Knowledge
A study score of at least 20 in VCE Units 3 and 4 Mathematical Methods, 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
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Summer
Location
Hawthorn
Start and end dates
06-January-2025
16-February-2025
Last self-enrolment date
06-January-2025
Census date
17-January-2025
Last withdraw without fail date
31-January-2025
Results released date
04-March-2025
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
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

Learning outcomes

Students who successfully complete this unit will be able to:

  • Recognise algebraic and graphical forms of standard functions, convert between these forms and calculate their inverses and compositions (K2)
  • Apply the induction principle and basic inequalities to verify important propositions (K2)
  • Appraise and apply standard approaches for determining the existence of limits of sequences and functions, quantifying these as point values where appropriate (K2)
  • Apply techniques of differential calculus to functions of one variable, interpreting in the context of equations, graphs and real-world applications (K2)
  • Apply techniques of integral calculus to functions of one variable, interpreting in the context of equations, graphs and real world applications (K2, S1)
  • Formulate separable and linear differential equations in abstract and real-world settings, appraising and applying solution schemas in simple, fundamental equations (K2, S1)
  • Determine partial derivatives of functions of more than one variable and use these to identify and classify their stationary points (K2)

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Lecture		4.00 12 weeks 48
On-campus
Class		1.00 12 weeks 12
Unspecified Activities
Independent Learning		7.50 12 weeks 90
TOTAL150

Assessment

Type Task Weighting ULO's
AssignmentIndividual 15 - 20% 1,2,3,4,5,6,7 
ExaminationIndividual 50 - 60% 1,2,3,4,5,6,7 
TestIndividual 10 - 15% 1,2,3 
TestIndividual 10 - 15% 3,4,5 

Hurdle

As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:

(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

  • Overview of some prerequisites. The induction principle and some basic inequalities
  • Fundamental properties of functions. Domain, image, composition, inversion and graph. Inverse trigonometric functions, hyperbolic functions and their inverses
  • Introduction to sequences, convergence and divergence. Limits of sequences and functions: definition, meaning and properties. Fundamental limits and indeterminate forms
  • Continuity: definition, properties, graphing and examples
  • Differentiation of functions of one variable: rules, properties, inverse functions, implicit differentiation, applications to graphing of functions. Differentials, higher derivatives, rates of change, Taylor polynomials, de l’Hopital rule
  • Integration of functions of one variable: anti-differentiation, properties, substitutions, integration by parts and partial fractions. Application to areas, volumes, arc lengths and other examples
  • Differential equations: first order separable differential equations, first order linear differential equations, orthogonal trajectories, second order linear differential equations with constant coefficients and simple right hand sides. Applications to relevant, simple models
  • Functions of two and more variables. Differentiation: partial and directional derivatives, higher derivatives, gradients and differentials. Properties and stationary points of simple, important surfaces

Study resources

Reading materials

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