Specialist Mathematics T

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Specialist Mathematics (T ) Major

Specialist Mathematics (T) Major is designed to provide students studying Mathematical Methods with additional opportunities to extend their knowledge and to refine their abstract reasoning ability in a mathematical context. Specialist Mathematics is suitable for students who intend later tertiary study in disciplines in which Mathematics plays a major role such as Engineering, Physics, Actuarial Studies, and Mathematics.

Prerequisite: An A in Level 1 Mathematics 10A and/or interview with the Mathematics Coordinator.

Course Structure

Specialist Mathematics (T) may be studied as a Minor or a Major course. Specialist Mathematics (T) may also be studied as a Major-Minor or double Major course. The Major Course consists of the Core units SM1, SM2, SM3 and SM4. The Major-Minor Course consists of the Core Course and two Option Units. The Double Major Course consists of the Core Course and four Option Units.

Students who transfer from Specialist Mathematics to Mathematical Methods or Mathematical Applications will have their points credited to the new course.

Prerequisites

Specialist Mathematics 1: T Minimum of an A in Level 1 Mathematics 10A
Specialist Mathematics 2: T Satisfactory Completion of SM1
Specialist Mathematics 3: T Satisfactory Completion of SM2
Specialist Mathematics 4: T Satisfactory Completion of SM3

Usual Course Patterns

Specialist Mathematics Major: Specialist Mathematics semester units 1, 2, 3 and 4
Specialist Mathematics Minor: Specialist Mathematics semester units 1 and 2

SPECIALIST MATHEMATICS 1

Matrices, Sequences and Series, Relations and Functions, Linear Functions, Quadratic Functions.

SPECIALIST MATHEMATICS 2

Polynomial and Rational Functions, Rates of Change, Trigonometry, Differential Calculus (Polynomials), Maximum/Minimum Problems, Related Rates.

SPECIALIST MATHEMATICS 3

Anti-differentiation, Integral Calculus, Areas and Volumes, Exponential and Logarithmic Functions (base e), Growth and Decay.

SPECIALIST MATHEMATICS 4

Statistics, Correlation and Regression, Counting Techniques, Probability Distributions (Binomial and Normal), Further Trigonometry, Matrix Applications.